OnlyDataJobs.com

Freeport-McMoRan
  • Phoenix, AZ

Provide management and leadership to the Big Data project teams. Directs initiatives in the Freeport-McMoRan Big Data program. Provides analytical direction, expertise and support for the Big Data program; this includes project leadership for initiatives, coordination with business subject matter experts and travel to mine sites. This will be a global role that will coordinate with site and corporate stakeholders to ensure global alignment on service and project delivery. The role will also work with business operations management to ensure the program is focusing in areas most beneficial to the company.


  • Work closely with business, engineering and technology teams to develop solution to data-intensive business problems
  • Supervise internal and external science teams
  • Perform quality control of deliverables
  • Prepare reports and presentations, and communicate with Executives
  • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
  • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
  • Perform other duties as required


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and eight (8) years of relevant work experience, OR
  • Masters degree in an analytical field (statistics, mathematics, etc.) and six (6) years of relevant work experience, OR
  • Proven track record of collaborating with business partners to translate business problems and needs into data-based analytical solutions
  • Proficient in predictive modeling:
  • Linear and logistic regression
  • Tree based techniques (CART, Random Forest, Gradient Boosting)
  • Time-Series Analysis
  • Anomaly detection
  • Survival Analysis
  • Strong Experience with SQL/Hive environments
  • Skilled with R and/or Python analysis environments
  • Experience with Big Data tools for machine learning, R, Hive, Python
  • Good communication skills


Preferred Qualifications


  • Doctorate degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards
  • Must be able to work in a potentially stressful environment
  • Position is in busy, non-smoking office located in downtown Phoenix, AZ
  • Location requires mobility in an office environment; each floor is accessible by elevator
  • Occasionally work will be performed in a mine, outdoor or manufacturing plant setting
  • Must be able to frequently sit, stand and walk
  • Must be able to frequently lift and carry up to ten (10) pounds
  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required
  • Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable State laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900606 

Freeport-McMoRan
  • Phoenix, AZ

Supports the activities for all Freeport-McMoRan Big Data programs. Provides analytical support and expertise for the Big Data program; this includes coordination with business subject matter experts and travel to mine sites. The role will provide analyses and statistical models as part of Big Data projects, and may be the project lead on analytics initiatives. The role will also provide visualizations and descriptive results of the analysis. This will be a global role that will coordinate with site and corporate stakeholders to ensure alignment on project delivery.


    Work
    • closely with business, engineering and technology teams to analyze data-intensive business problems.
    • Research and develop appropriate statistical methodology to translate these business problems into analytics solutions
    • Perform quality control of deliverables
    • Develop visualizations of results and prepare deliverable reports and presentations, and communicate with business partners
    • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
    • Develop, implement and maintain analytical solutions in the Big Data environment
    • Work with onshore and offshore resources to implement and maintain analytical solutions
    • Perform variable selection and other standard modeling tasks
    • Produce model performance metrics
    • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
    • Perform other duties as requested


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and five (5) years of relevant work experience, OR 
  • Masters degree in an analytical field (statistics, mathematics, etc.) and three (3) years of relevant work experience

  • Proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions

  • Proficient in predictive modeling:

  • Linear and logistic regression

  • Tree based techniques (CART, Random Forest, Gradient Boosting)

  • Time-Series Analysis

  • Anomaly detection

  • Survival Analysis

  • Strong experience with SQL/Hive environments

  • Skilled with R and/or Python analysis environments

  • Experience with Big Data tools for machine learning, R, Hive, Python

  • Good communication skills


Preferred Qualifications


  • Masters degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards

  • Must be able to work in a potentially stressful environment

  • Position is in busy, non-smoking office located in Phoenix, AZ

  • Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase

  • Occasionally work may be performed in a mine, outdoor or manufacturing plant setting

  • Must be able to frequently sit, stand and walk

  • Must be able to frequently lift and carry up to ten (10) pounds

  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required

  • Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900604 

Pandora
  • Atlanta, GA

Music and data are at the heart of Pandora. As a member of the User Engagement data science team, you will help us build models and design experiments that impact the listening experience of millions of people every day.  We are looking for enthusiastic data scientists with experience in machine learning, statistical modeling and analysis, combined with strong CS fundamentals and coding abilities. Scientists on our team partner with engineers, product managers, and other key stakeholders in the product and marketing teams. You'll interact regularly with senior leadership to directly guide and shape Pandora's efforts in one or more of the following areas:


  • Building ML models and improving the core recommendation system that helps serve music to millions of listeners

  • Developing new ways to model user behavior using cutting-edge techniques

  • Optimizing models to drive user growth and engagement

  • Exploring new opportunities to integrate SiriusXM and Pandora radio programming



Successful candidates will have outstanding communication skills, demonstrated ability to work effectively in a small team, and a natural sense of curiosity and drive to experiment. We welcome diverse perspectives and a collaborative spirit.


Relocation and visa programs available.


Requirements:

  • PhD degree in quantitative field (for example: Computer Science, Machine Learning, Statistics, Biology, Neuroscience, Physics, or Mathematics)

  • Demonstrated background in machine learning and applied statistics

  • 2+ years of industry experience in a data science role

  • Strong Python programming skills

  • Experience with Hive or SQL databases

  • Experience implementing ML models at a large scale in a production environment

  • Experimental design and A/B testing


Plus Requirements:

  • Experience with the Hadoop technology stack
  • Experience with AWS (Amazon Web Services) or GCP (Google Cloud Platform) tools
  • Experience with deep learning APIs such as TensorFlow or PyTorch


Pandora is committed to diversity in its workforce. Pandora is an equal employment employer and considers qualified applicants without regard to gender, sexual orientation, gender identity, race, ethnicity, veteran or disability status. Women and people of color are encouraged to apply.

Pandora is also a VEVRAA federal contractor. Pandora requests priority referrals of protected veterans from each ESDS, as required by regulation.

If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to disability@pandora.com. This email box is designed to assist job seekers who require a reasonable accommodation to the application process. A response to your request may take up to two business days.

In Your Email, Please Include The Following

The specific accommodation requested to complete the employment application process.

The location or office to which you would like to apply.

The subject of the email should read "Request for Reasonable Accommodation".
LPL Financial
  • San Diego, CA

As a Development Manager for Digital Experience Technology, responsible for strategy, analysis, design and implementation of modern, scalable, cloud native digital and artificial intelligence solutions. This role primarily will lead Intelligent Content Delivery program with focus on improving content search engine, implementing personalization engine and AI driven content ranking engine to deliver relevant and personalized intelligent content across Web, Mobile and AI Chat channels.  This role requires a successful and experienced digital, data and artificial intelligence practitioner, able to lead discussions with business and technology partners to identify business problems and delivering breakthrough solutions.

The successful candidate will have excellent verbal and written communication skills along with a demonstrated ability to mentor and manage a digital team. You must possess a unique blend of business and technical savvy; a big-picture vision, and the drive to make a vision a reality.


Key Responsibilities:
 

·       Define innovative Digital Content, AI and Automation offerings solving business problems with inputs from customers, business and product teams

·       Partner with business, product and technology teams to define problems, develop business case, build prototypes and create new offerings.

·       Evangelize and promote Cloud based micro-services architecture and Digital Technology capabilities adoption across organization

·       Lead and own technical design and development aspects of knowledge graphs, search engines, personalization engine and intelligent content engine platforms by applying digital technologies, machine learning and deep learning frameworks

·       Responsible for research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems

·       Manage onsite and offshore development teams implementing products and platforms in Agile

·       Collaborate with business, product , enterprise architecture and cross-functional teams to ensure strategic and tactical goals of project efforts are met

·       Work collaboratively with QA, DevOPS teams to adopt CI/CD tool chain and develop automation

·       Work with technical teams to ensure overall support and stability of platforms and assist with troubleshooting when production incidents arise

·       Be a mentor and leader on the team and within the organization



Basic Qualifications:

·       Overall 10+ years of experience, with 6+ years of development experience in implementing Digital and Artificial Intelligence (NPU-NLP-ML) platforms.

·       Solid working experience of Python, R and knowledge graphs

·       Expertise in any one AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensor flow)

·       Experience with platforms Cloud Platforms and products including Amazon AWS, LEX Bots, Lambda , Microsoft Azure or similar cloud technologies

·       Solid working experience of implementing Solr search engine, SQL, Elastic Search,  Neo4J

·       Experience in data analysis , modelling, reporting using Power BI / similar tools

·       Experience with Enterprise Content Management systems like Adobe AEM / Any Enterprise CMS

·       Experience in implementing knowledge graphs using Schema.org, Facebook Open graph, Google AMP pages is added advantage

·       Excellent collaboration and negotiation skills

·       Results driven with a positive can do attitude

·       Experience in implementing Intelligent Automation tools like Work fusion , UIPath / Automation Anywhere is added advantage

Qualifications:

·       Ms or Ph.D degree in Computer Science / Statistics / Mathematics / Data Science / Any

·       Previous industry experience or research experience in solving business problems applying machine learning and deep learning algorithms

·       Must be hands on technologist with prior experience in similar role

·       Good experience in practicing and executing projects in Agile Scrum or Agile Safe iterative methodologies

Huntech USA LLC
  • San Diego, CA

Great opportunity to work with the leader in semiconductor industry who unveiled the worlds first 7 nanometer PC platform, created from the ground up for the next generation of personal computing by bringing new features with thin and light designs, allowing for new form factors in the always-on, always-connected category. It features the new octa-core CPU, the fastest CPU ever designed and built, with a larger cache than previous compute platforms, faster multi-tasking and increased productivity for users, disrupting the performance expectations of current thin, light and fanless PC designs. This platform is currently sampling to customers and is expected to begin shipping in commercial devices in Q3 of 2019.


Staff Data Analyst

You will study the performance of the Global Engineering Grid/ Design workflows across engineering grid and provide insights in effective analytics in support of Grid 2.0 program. You will conduct research, design statistical studies and analyze data in support of Grid 2.0 program.  This job will challenge you to dive deep into the engineering grid/ design flow world and understand the unique challenges in operating engineering grid at a scale unrivaled in the industry.  You should have experience working in an EDA or manufacturing environment and comfortable workings in an environment where problems are not always well-defined.


Responsibilities:

  • Identify and pursue opportunities to improve the efficiency of global engineering grid and design workflows.
  • Develop systems to invest, analyze, and take automated action across real-time feeds of high volume data.
  • Research and implement new analytics approaches effective deployment of machine learning/ data modeling to solve business problems Identify patterns and trends from large, high-dimensional data sets; manipulate data into digestible and actionable reports.
  • Make business recommendations (e.g. cost-benefit, experiment analysis) with effectivepresentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Plan effectively to set priorities and manage projects, identify roadblocks and come up technical options.


Leverage your 8+ years of experience articulating business questions and using mathematical techniques to arrive at an answer using available data. 3 - 4 yrs advance Tableau is a must. Experience translating analysis results into business recommendations. Experience with statistical software (e.g., R, Python, MATLAB, pandas, scala) and database languages like SQL Experience with data warehousing concepts (Hadoop, mapR) and visualization tools (e.g. QlikView, Tableau, Angular, Thoughtspot). Strong business acumen,critical thinking ability, and attention to detail.


Background in data science, applied mathematics, or computational science and a history of solving difficult problems using a scientific approach with MS or BS degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Operations Research, Computer Science, Electrical Engineering) and understand how to design scientific studies. You should be familiar with the state of the art in machine learning/ data modeling/ forecasting and optimization techniques in a big data environment.



Data Analytics Software Test Engineer

As a member of the Corporate Engineering Services Group software test team, you will be responsible for testing various cutting edge data analytics products and solutions. You will be working with a dynamic engineering team to develop test plans, execute test plans, automate test cases, and troubleshoot and resolve issues.


Leverage your 1+ years of experience in the following:

  • Testing and systems validation for commercial software systems.
  • Testing of systems deployed in AWS Cloud.
  • Knowledge of SQL and databases.
  • Developing and implementing software and systems test plans.
  • Test automation development using Python or Java.
  • Strong problem solving and troubleshooting skills.
  • Experience in testing web-based and Android applications.
  • Familiar with Qualcomm QXDM and APEX tools.
  • Knowledge of software development in Python.
  • Strong written and oral communication skills
  • Working knowledge of JIRA and GitHub is preferred.


Education:

  • Required: Bachelor's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science and/or Electrical Engineering
  • Preferred: Master's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science and/or Electrical Engineering or equivalent experience


Interested? Please send a resume to our Founder & CEO, Raj Dadlani at raj@huntech.com and he will respond to interested candidates within 24 hours of resume receipt. We are dealing with a highly motivated hiring manager and shortlisting viable candidates by February 22, 2019.

MRE Consulting, Ltd.
  • Houston, TX

Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a) (1). Individuals with temporary visas such as A, B, C, D, E, F, G, H, I, J, L, M, NATO, O, P, Q, R or TN or who need sponsorship for work authorization in the United States now or in the future, are not eligible for hire.


Our client is seeking to hire an Enterprise Data Architect. The position reports to the VP IT. The Data Architect is responsible for providing a standard common business vocabulary across all applications and data elements, expressing and defining strategic data requirements, outlining high level integrated designs to meet the various business unit requirements, and aligning with the overall enterprise strategy and related business architecture.


Essential Duties & Responsibilities:
Provide insight and strategies for changing databased storage and utilization requirements for the company and provide direction on potential solutions
Assist in the definition and implementation of a federated data model consisting of a mixture of multi-cloud and on premises environments to support operations and business strategies
Assist in managing vendor cloud environments and multi-cloud database connectivity.
Analyze structural data requirements for new/existing applications and platforms
Submit reports to management that outline the changing data needs of the company and develop related solutions
Align database implementation methods to make sure they support company policies and any external regulations
Interpret data, analyze results and provide ongoing reporting and support
Implement data collection systems and other strategies that optimize efficiency and data quality
Acquire available data sources and maintain data systems
Identify, analyze, and interpret trends or patterns in data sets
Scrub data as needed, review reports, printouts, and performance indicators to identify inconsistencies
Develop database design and architecture documentation for the management and executive teams
Monitor various data base systems to confirm optimal performance standards are met
Contribute to content updates within resource portals and other operational needs
Assist in presentations and interpretations of analytical findings and actively participate in discussions of results, internally and externally
Help maintain the integrity and security of the company database
Ensure transactional activities are processed in accordance with standard operating procedures The employee will be on call 24 hours 7 days per week.


Qualifications
Minimum of 10 + years of experience.
Proven work experience as a Data Architect, Data Scientist, or similar role
In-depth understanding of database structure principles
Strong knowledge of data mining and segmentation techniques
Expertise in MS SQL and other database platforms
Familiarity with data visualization tools
Experience with formal Enterprise Architecture tools (like BiZZ design)
Experience in managing cloud-based environments
Aptitude regarding data models, data mining, and in cloud-based applications.
Advanced analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at report writing and presenting findings
Proficiency in systems support and monitoring
Experience with complex data structures in the Oil and Gas Industry a plus


Education 
A bachelors degree in Computer Science, Math, Statistics, or related quantitative field required.


Travel Requirements
The percentage of travel anticipated for this position is 10 20%, including overnight extended stays.


All qualified candidates should apply by providing a current Word resume and denoting skill set experience as it relates to this requirement.

Visa
  • Austin, TX
Company Description
Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities. We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.
Job Description
At Visa University, our mission is to turn our learning data into insights and get a deep understanding of how people use our resources to impact the product, strategy and direction of Visa University. In order to help us achieve this we are looking for someone who can build and scale an efficient analytics data suite and also deliver impactful dashboards and visualizations to track strategic initiatives and enable self-service insight delivery. The Staff Software Engineer, Learning & Development Technology is an individual contributor role within Corporate IT in our Austin-based Technology Hub. In this role you will participate in design, development, and technology delivery projects with many leadership opportunities. Additionally, this position provides application administration and end-user support services. There will be significant collaboration with business partners, multiple Visa IT teams and third-party vendors. The portfolio includes SaaS and hosted packaged applications as well as multiple content providers such as Pathgather (Degreed), Cornerstone, Watershed, Pluralsight, Lynda, Safari, and many others.
The ideal candidate will bring energy and enthusiasm to evolve our learning platforms, be able to easily understand business goals/requirements and be forward thinking to identify opportunities that may be effectively resolved with technology solutions. We believe in leading by example, ownership with high standards and being curious and creative. We are looking for an expert in business intelligence, data visualization and analytics to join the Visa University family and help drive a data-first culture across learning.
Responsibilities
  • Engage with product managers, design team and student experience team in Visa University to ensure that the right information is available and accessible to study user behavior, to build and track key metrics, to understand product performance and to fuel the analysis of experiments
  • Build lasting solutions and datasets to surface critical data and performance metrics and optimize products
  • Build and own the analytics layer of our data environment to make data standardized and easily accessible
  • Design, build, maintain and iterate a suite of visual dashboards to track key metrics and enable self-service data discovery
  • Participate in technology project delivery activities such as business requirement collaboration, estimation, conceptual approach, design, development, test case preparation, unit/integration test execution, support process documentation, and status updates
  • Participate in vendor demo and technical deep dive sessions for upcoming projects
  • Collaborate with, and mentor, data engineers to build efficient data pipelines and impactful visualizations
Qualifications
  • Minimum 8 years of experience in a business intelligence, data analysis or data visualization role and a degree in science, computer science, statistics, economics, mathematics, or similar
  • Significant experience in designing analytical data layers and in conducting ETL with very large and complex data sets
  • Expertise with Tableau desktop software (techniques such as LOD calculations, calculated fields, table calculations, and dashboard actions)
  • Expert in data visualization
  • High level of ability in JSON, SQL
  • Experience with Python is a must and experience with data science libraries is a plus (NumPy, Pandas, SciPy, Scikit Learn, NLTK, Deep Learning(Keras)
  • Experience with Machine Learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naive Bayes, SVM, K-means, K-nearest neighbor, Hierarchical Clustering)
  • Experience with HTML and JavaScript
  • Basic SFTP and encryption knowledge
  • Experience with Excel (Vlookups, pivots, macros, etc.)
  • Experience with xAPI is a plus
  • Ability to leverage HR systems such as Workday, Salesforce etc., to execute the above responsibilities
  • Understanding of statistical analysis, quantitative aptitude and the ability to gather and interpret data and information
  • You have a strong business sense and you are able to translate business problems to data driven solutions with minimal oversight
  • You are a communicative person who values building strong relationships with colleagues and stakeholders, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15081Q
Brighter Brain
  • Atlanta, GA

Brighter Brain is seeking a skilled professional to serve as an internal resource for our consulting firm in the field of Data Science Development. Brighter Brain provides Fortune 500 clients throughout the United States with IT consultants in a wide-ranging technical sphere.

In order to fully maintain our incoming nationwide and international hires, we will be hiring a Senior Data Science SME (ML) with practical experience to relocate to Atlanta and coach/mentor our incoming classes of consultants. If you have a strong passion for the Data Science platform and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

Brighter Brain is an IT Management & Consultingfirm providing a unique take on IT Consulting. We currently offer expertise to US clients in the field of Mobile Development (iOS and Android), Hadoop, Microsoft SharePoint, and Exchange/ Office 365. We are currently seeking a highly skilled professional to serve as an internal resource for our company in the field of Data Science with expertise in Machine Learning (ML)

The ideal candidatewill be responsible for establishing our Data Science practice. The responsibilities include creation of a comprehensive training program, training, mentoring, and supporting ideal candidates, as they progress towards building their career in Data Science Consulting. This position is based out of our head office in Atlanta, GA.

If you have a strong passion for Data Science and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

The Senior Data Science SMEwill take on the following responsibilities:

-       Design, develop and maintain Data Science training material, focused around: ML Knowledge of DL, NN & NLP is a plus.

-       Interview potential candidates to ensure that they will be successful in the Data Science domain and training.

-       Train, guide and mentor junior to mid-level Data Science developers.

-       Prepare mock interviews to enhance the learning process provided by the company.

-       Prepare and support consultants for interviews for specific assignments involving development and implementation of Data Science.

-       Act as a primary resource for individuals working on a variety of projects throughout the US.

-       Interact with our Executive and Sales team to ensure that projects and employees are appropriately matched.

The ideal candidatewill not only possess a solid knowledge of the realm, but must also have the fluency in the following areas:

-       Hands-on expertise in using Data Science and building machine learning models and Deep learning models

-       Statistics and data modeling experience

-       Strong understanding of data sciences

-       Understanding of Big Data

-       Understanding of AWS and/or Azure

-       Understand the difference between Tensorflow, MxNet, etc

Skills Include:

  • Masters Degree in the Computer Science or mathematics fields

    10+ Years of professional experience in the IT Industry, in the AI realm

  • Strong understanding of MongoDB, Scala, Node.js, AWS, & Cognitive applications
  • Excellent knowledge in Python, Scala, JavaScript and its libraries, Node.js, Python, R and MatLab C/C++ Lua or any proficient AI language of choice
  • NoSQL databases, bot framework, data streaming and integrating unstructured Data Rules engines e.g. drools, ESBs e.g. MuleSoft Computer
  • Vision,Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence, Neural Networks
  • Deep Learning frameworks like Tensorflow, Torch, Caffee, Theano, CNTK, cikit-
  • learn, numpy, scipy
  • Working knowledge of ML such as: Naïve Bayes Classification, Ordinary Least
  • Square
  • Regression, Logic Regression, Supportive Vector Machines, Ensemble Methods,
  • Clustering
  • Algorithms, Principal Component Analysis, Singular Value Decomposition, and
  • Independent Component Analysis.  
  • Natural Language Processing (NLP) concepts such as topic modeling, intents,
  • entities, and NLP frameworks such as SpaCy, NLTK, MeTA, gensim or other
  • toolkits for Natural Language Understanding (NLU)
  • Experience data profiling, data cleansing, data wrangling/mungline, ETL
  • Familiarity with Spark MLlib, Mahout Google, Bing, and IBM Watson APIs
  • Hands on experience as needed with training a variety of consultants
  • Analytical and problem-solving skills
  • Knowledge of IOT space
  • Understand Academic Data Science vs Corporate Data Science
  • Knowledge of the Consulting/Sales structure

Additional details about the position:

-       Able to relocate to Atlanta, Ga (Relocation package available)

-       Work schedule of 9 AM to 6 PM EST

Questions: Send your resume to Ansel Butler at Brighter Brain; make sure that there is a valid phone number and Skype ID either on the resume, or in the body of the email.

Ansel Essic Butler

EMAIL: ANSEL.BUTLER@BRIGHTERBRAIN.COM

404 791 5128

SKYPE: ANSEL.BUTLER@OUTLOOK.COM

Senior Corporate Recruiter

Brighter Brain LLC.

1785 The Exchange, Suite 200

Atlanta, GA. 30339

AIRBUS
  • Blagnac, France

Description of the job



Vacancies for 3 Data Scientists (m/f) have arisen within Airbus Commercial Aircraft in Toulouse. You will join the PLM Systems & Integration Tests team within IM Develop department.  



IM Develop organization is established to ensure Product Life Cycle Management (PLM) Support and Services as requested by Programmes, CoE and CoC. The department is the home within Airbus to lead the development, the implementation, the maintenance and the support of PLM to all Airbus programs in line with the corporate strategy.



Within the frame of its Digital Design, Manufacturing & Services (DDMS) project, Airbus is undergoing a significant digital transformation to benefit from the latest advances in new technologies and targets a major efficiency breakthrough across the program and product lifecycle. It will be enabled by a set of innovative concepts such as model based system engineering, modular product lines, digital continuity and concurrent co-design of the product, its industrial setup and operability features.



As a Data Scientist (m/f), you will be integrated in a team of the IM Develop department and appointed to dedicated missions. You will work in an international environment where you will able to develop in-depth knowledge of local specificities: engineering, manufacturing, costing, etc.



Tasks & accountabilities



Your main tasks and responsibilities will be to:




  • Analyze large amounts of information to discover trends and patterns, build predictive models, implement cost models and machine-learning algorithms based on technical data and DMU models.

  • Combine models through ensemble modelling

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Implement features extraction by analyzing CAD models and engineering Bill of Material

  • Collaborate with engineering, costing (FCC) to implement new costing models in python

  • Design and propose new short/medium- and long-term forecasting methods

  • Consolidate, compare and enlarge the data required for the various types of modelling

  • Attend technical events/conferences and reinforce Data Science skills within Airbus




Required skills



We are looking for candidates with the following skills and experience:




  • Strong knowledge of python development in the frame of industrial projects

  • Experience in data mining & machine-learning

  • Knowledge of Scala, Java or C++,… familiarity with R, SQL is an asset

  • Experience using business intelligence tools

  • Analytical mindset

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  • PLM knowledge and 3D CAD programming would be a plus

  • French & English: advanced level

Citizens Advice
  • London, UK
  • Salary: £40k - 45k

As a Database engineer in the DevOps team here at Citizens Advice you will help us develop and implement our data strategy. You will have the opportunity to work with both core database technologies and big data solutions.


Past


Starting from scratch, we have built a deep tech-stack with AWS services at its core. We created a new CRM system, migrated a huge amount of data to AWS Aurora PG and used AWS RDS to run some of our business critical databases.


You will have gained a solid background and in-depth knowledge of AWS RDS, SQL/Admin against DBMS's such as PostgreSql / MySQL / SQL Server, Dynamo / Aurora. You will have dealt with Data Warehousing, ETL, DB Mirroring/Replication, and DB Security Mechanisms & Techniques.


Present


We use AWS RDS including Aurora as the standard DB implementation for our applications. We parse data in S3 using Spark jobs and we are planning to implement a data lake solution in AWS.


Our tools and technologies include:



  • Postgres on AWS RDS

  • SQL Server for our Data Warehouse

  • Liquibase for managing the DW schema

  • Jenkins 2 for task automation

  • Spark / Parquet / AWS Glue for parsing raw data

  • Docker / docker-compose for local testing


You will be developing, supporting and maintaining automation tools to drive database, reporting and maintenance tasks.


As part of our internal engineering platform offering, R&D time will give you the opportunity to develop POC solutions to integrate with the rest of the business.


Future


You will seek continuous improvement and implement solutions to help Citizens Advice deliver digital products better and quicker.


You will be helping us implement a data lake solution to improve operations and to offer innovative services.


You will have dedicated investment time at Citizens Advice to learn new skills, technologies, research topics or work on tools that make this possible.

Intercontinental Exchange
  • Atlanta, GA
Job Purpose
The Data Analytics team is seeing a dynamic, self-motivated Data Scientist, who is able to work independently on data analysis, datamining, report development and customer requirement gathering.
Responsibilities
  • Applies data analysis and data modeling techniques, based upon a detailed understanding of the corporate information requirements, to establish, modify, or maintain data structures and their associated components
  • Participates in the development and maintenance of corporate data standards
  • Supports stakeholders and business users to define data and analytic requirements
  • Works with the business to identify additional internal and external data sources to bring into the data environment and mesh with existing data
  • Story board, create, ad publish standard reports, data visualizations, analysis and presentations
  • Develop and implement workflows using Alteryx and/or R
  • Develop and implement various operational and sales Tableau dashboards
Knowledge And Experience
  • Bachelors degree in statistics/engineering/math/quantitative analytics/economics/finance or a related quantitative discipline required
  • Masters in engineering/physics/statistics/economics/math/science preferred
  • 1+ years of experience with data science techniques and real-world application experience
  • 2+ years of experience supporting the development of analytics solutions leveraging tools like Tableau Desktop and Tableau Online
  • 1+ years of experience working with SQL, developing complex SQL queries, and leveraging SQL in Tableau
  • 1+ years of experience in Alteryx, and R coding
  • Deep understanding of Data Governance and Data Modeling
  • Ability to actualize requirements
  • Advanced written and oral communication skills with the ability to summarize findings and present in a clear, concise manner to peers, management, and others
Additional Information
    • Job Type Standard
    • Schedule Full-time
Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

TRA Robotics
  • Berlin, Germany

We are engineers, designers and technologists, united by the idea of shaping the future. Our mission is to reimagine the manufacturing process. It will be fully software defined. It will be driven entirely by AI. This will mean new products will get to market much quicker.


Now we are working on creating a flexible robotic factory managed by AI. We are developing and integrating a stack of products that will facilitate the whole production process from design to manufacturing. Our goal is complex and deeply rooted in science. We understand that it is only achievable in collaboration across diverse disciplines and knowledge domains.


We're looking for Computer Vision Lead to become a part of the team in our new Berlin office.


About the project:


We want our robots to have a perfect vision. As a team leader, you will manage a distributed team of high-skilled engineers as well as create algorithms for identification, localization and tracking of objects based on both classic computer vision and deep learning.


Your Qualifications:



  • Proficiency with C/C++, Python

  • Strong knowledge of CV algorithms, ML/DL algorithms

  • Extensive experience in OpenCV, TensorFlow, CUDA

  • Deep understanding of optimization methods, machine learning, linear algebra, theory of chances, math statistics, realtime systems

  • Experience to manage distributed teams

  • Fluency in English


Will be an advantage:



  • IoT experience

  • Matlab

  • Java

  • DSP/FPGA

  • location systems


Your tasks:



  • Working with sensors of various types (2D / 3D cameras, lidars, 3D scanners)

  • Development of computer vision algorithms

  • Solving the problem of identification and localization of the object

  • Development of visual quality control system


What we offer:



  • To join highly scientific-intensive culture and take part in developing the unique product

  • The ability to choose technology stack and approaches

  • Yearly educational budget - we support your ambitions to learn

  • Relocation package - we would like to make your start as smooth as possible

  • Flexible working environment - choose your working hours and equipment

  • Cozy co-working space in Berlin-Mitte with an access to a terrace

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-5-8 years of Java experience, Scala and Python experience a plus

-3+ years of experience as an analyst, data scientist, or related quantitative role.

-3+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-3-5years of Java experience, Scala and Python experience a plus

-2+ years of experience as an analyst, data scientist, or related quantitative role.

-2+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Accenture
  • San Diego, CA
Job Title: Accenture Digital, Accenture Analytics, Data Science, Consultant
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client & Market career track drive profitable growth by developing market-relevant insights to increase market share or create new markets. They progress through required promotion into market-facing roles that have a direct impact on sales.
Accenture Analytics
Accenture Analytics delivers insight driven outcomes at scale to help organizations improve performance. Our extensive capabilities range from accessing and reporting on data to advanced modeling, forecasting, and sophisticated statistical analysis. Specifically we...
    • Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
    • Design and develop reusable analytical assets using advanced statistical and computational methods
    • Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators
    • Pilot sophisticated advanced analytics & innovative analytics solutions to prove value
    • Work closely with business leaders to understand needs and assist with architecting and deploying innovative solutions
    • Operate at the frontier of innovative analytics; introduce and implement newest market developments & trends in analytics
    • Optimize Resources processes and integrate across the enterprise in order to maximize the opportunities of data, analytics, and outcomes
    • Build, deploy, maintain and scale advanced analytic solutions that reduce complexity and cost
    • Partner and team with technology solution providers to deliver the best solution meeting the needs of our clients
    • Offer our clients end to end solutions and services
Job Description
The Consultant is responsible for delivery on Resources analytics projects. This process requires the use of advanced statistical analysis in a Resources industry.
The Key Responsibilities Include
    • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
    • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Understands client use cases / user stories and maps them to solutions based on best practice.
    • Uses considerable judgment to determine solution and seeks guidance on complex problems.
    • Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance.
    • Decisions often impact the team in which they reside.
    • Project-based analytics including but not limited to: Machine Learning, Predictive Analytics, Comparative Effectiveness Analysis, Failure Analysis, Big Data Analytics, Optimization, Demand Forecasting, Customer Segmentation, Customer Analytic Record.
Basic Qualifications
    • Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, mathematics, economics, statistics, engineering and information management
    • Minimum of 3 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc.)
    • Minimum 3 years experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau
Preferred Qualifications
    • Minimum of 2 years of experience with consulting or implementing transformational change
    • Experience in the analysis of marketing databases using SAS or other statistical modeling tools.
    • Experience in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Management & Operations, Digital, Comparative Effectiveness Research
    • Possess a blend of marketing acumen, consulting expertise and analytical capabilities that can create value and insights for our clients.
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. Youll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Subsurface Consultants & Associates, LLC
  • Houston, TX

An oil and gas company is looking for a Machine Learning R&D Engineer to join their Agile team in west Houston. The team is working to create a prototype prediction tool and the Machine Learning Engineer will be responsible for developing the code for the tool and training other team members on Machine Learning principals and practices.


Candidates should fulfil the following minimum qualifications:


  • Ph.D. in Computer Science or a related field (Mathematics, Statistics, Physics or Electrical and/or Computer engineering) with a focus on machine learning (deep learning)
  • 5 years experience in Machine Learning
  • 15 years experience in systems development and programming 
  • Expert level Python 3 development skills
  • Advanced visualization using Python libraries
  • Experience with Big Data technologies and utilities
Catapult Systems
  • Houston, TX

High performing team members. Challenging projects. A stable and profitable company. And a great place to work! This is what you can expect if you join the Catapult Systems team. Founded in 1993 and headquartered in Austin, Texas, Catapult is an award winning Microsoft National Solution Provider and was recently named the Microsoft Partner of the Year (U.S.) and Microsoft Partner of the Year Finalist in Cloud Productivity.


What do we attribute our award-winning success to? The people we hire, of course! We provide you the tools and leadership that you need to be successful, and then let you do what you do best. We enable you to make the decisions that you feel are in the best interest of our clients, and we trust your judgment. This type of ownership and independence, and an ongoing commitment to solving real business problems through the innovative use of Microsoft technologies, has resulted in Catapult being voted one of the best places to work year after year!


It is a very exciting time of growth for Catapult Systems, and we are currently hiring a Data Analytics Developer to provide technical leadership for our expanding team.

What will my role be?


As a Data Analytics Developer you will work with customers to identify opportunities and scenarios where Power BI and Azure Data Services can benefit their business. You will deliver short and long term projects utilizing strong business, technical and data modeling skills.

Responsibilities will include:

    • Working with customers to analyze business requirements and define functional specifications
    • Facilitating client meetings and strategy sessions
    • Providing pre-sales technical support by attending sales calls and creating demos for customers
    • Support and implementation of Data Analytics projects

Whats required?

    • First and foremost, you should enjoy what you do and enjoy working in teams!
    • Ability to engage in customer settings and discern client business needs
    • Strong working knowledge and track record of Data Analytics development
    • 5+ years of experience sourcing, star schema & relational data modeling, ETL and processing
    • Expert level knowledge around SSIS, SSAS, SSRS, PowerBI and tools such as SSMS and SSDT
    • Experience supporting large scale analytical platforms
    • Experience designing automated processing, data validation, error checks and alerts, and performance testing techniques
    • Experience working with SQL Azure and cloud data solutions
    • 5+ years of experience with Microsoft SQL Server and proficiency in T-SQL
    • 1+ years of experience in migrating from on-prem to cloud (PaaS or IaaS)
    • Excellent presentation, verbal and written communication, and time management skills
    • Ability to travel up to 25%

What else would make me stand out?

    • Previous consulting experience
    • Knowledge of database optimization techniques
    • Experience with Python and/or R
    • Proficiency in MDX and/or DAX queries
    • Experience with Microsoft Office 365 and cloud data solutions
    • Reporting experience with SharePoint and CRM
    • Relevant Microsoft Certifications and Non-Microsoft data platform certifications
    • Ability to work with cloud and hybrid environments
    • Good understanding of statistics
    • Knowledge in government analytics and policy objectives
    • Experience working with Big Data technologies and NoSQL
    • Multidimensional and Tabular Cube design, development, performance tuning and troubleshooting
    • Experience working with Data Visualization, Auditing, Data Validation, and Data Mining

 So what are you waiting for?? If you are passionate about being a leader and want to work with smart people that are committed to accomplishing great things, then apply today!

Catapult offers an outstanding benefits package including 401(k) match, paid time off, flex spending accounts, identity theft protection, and medical, dental, and life insurance just to name a few.

Catapult was recently named a Texas Monthly magazine Best Place to Work!

Hydrogen Group
  • Austin, TX

Data Scientist
x2 Roles
Permanent
Austin, TX
Remote + Flex Hours


Our client is a very well funded venture capital start-up ran by an experienced team of technical entrenreneurrs based in Austin, TX. Having sucessfully raisefd over $10 million in Series A funding they are looking to expand their existing Data Science and Analytics team by adding 2 new members with plans to grow total headcount to 10 by the summer.

The sucessful candidate will be focused on working with client company's data accross multople sources and developing algorithems and models which will be used to improve performance.


Requirements:

  • The ability to solve problems that no one else has before in a start-up environment - in return you will be given flexible working hours, ability to work remote as you deem fit.
  • Background in EITHER (or Both) Machine learning or statistics - PhD + advanced academic qualifications welcome but not essential.
  • Ability to work in R, Python, TensorFlow, RStudio preffered by not essential


Interviews taking place from 21st ownwards with offers made ASAP

IT - Data Scientist - x2 - Austin, TX - R - Machine Learning - IT - Analytics - Statistics - AI - Python - IT - Data Scientist - x2 - Austin, TX - Keras - Tensor Flow - RStudio - Data Scientist - x2 - Austin, TX -

Elev8 Hire Solutions
  • Atlanta, GA

Jr. Data Scientist


Our client in the Midtown area is looking for a Jr. Data Scientist with a passion for Machine Learning, knows the how's & why's of algorithms, and is excited about the fraud industry. You'll be a pivotal piece in the Atlanta/US team in development and application of adaptive real-time analytical modeling algorithms. So if that gets you excited, apply!


Role Expectations:


  • End-to-end processing and modeling of large customer data sets.
  • Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modeling.
  • Develop statistical models and algorithms for integration with companys product.
  • Apply analytical theory to real-world problems on large and dynamic datasets.
  • Produce materials to feedback analytic results to customers (reports, presentations, visualizations).
  • Providing input into future data science strategy and product development.
  • Working with development teams to support and enhance the analytical infrastructure.
  • Work with the QA team to advise on effective analytical testing.
  • Evaluate and improve the analytical results on live systems.
  • Develop an understanding of the industry data structures and processes.


Team working with:


  • Currently 6 other Data Scientist local to Atlanta, the rest of the team (10+) in Cambridge
  • 130 people in the entire company


Top skills required:


  • Degree-level qualification with good mathematical background and knowledge of statistics.
  • Professional experience using Random Forests, machine learning algorithms, development skills with C or Python
  • First-hand experience of putting Data Storage into production
  • Experience in implementing statistical models and analytical algorithms in software.
  • Practical experience of the handling and mining of large, diverse, data sets.
  • Must have a USA work visa or Passport.


Nice to have:


  • Ph.D. or other postgraduate qualification would be an extreme advantage
  • An indication of how relevant technologies have been used (not just a list).
  • Attention to grammatical detail, layout and presentation.


Benefits:


  • Regular bonus scheme
  • 20 days annual leave
  • Healthcare package
  • Free Friday lunches
  • Regular social outings
  • Fridge and cupboards packed full of edible treats
  • Annual summer social and Christmas dinner