OnlyDataJobs.com

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.

FCA Fiat Chrysler Automobiles
  • Detroit, MI

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.


The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

    • Problem Analysis and Project Management:
      • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
      • Identify data-driven/ML business opportunities
      • Collaborate across the business to understand IT and business constraints
      • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
      • Generate and test hypotheses about the underlying mechanics of the business process.
      • Network with domain experts to better understand the business mechanics that generated the data.
    • Data Collection and Integration:
      • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
      • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
    • Machine Learning and Statistical Modelling:
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks
      • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness
    • Operationalization:
      • Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
      • (Help to) integrate model performance management tools into the current business infrastructure
      • (Help to) implement champion/challenger test (A/B tests) on production systems
      • Continuously monitor execution and health of production ML models
      • Establish best practices around ML production infrastructure
    • Other Responsibilities:
      • Train other business and IT staff on basic data science principles and techniques
      • Train peers on specialist data science topics
      • Promote collaboration with the data science COE within the organization.

Basic Qualifications:

    • A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    • Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
    • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
    • All candidates must be self-driven, curious and creative.
    • They must demonstrate the ability to work in diverse, cross-functional teams.
    • Should be confident, energetic self-starters, with strong moderation and communication skills.

Preferred Qualifications:

    • A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
    • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
    • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
    • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
    • Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.
The HT Group
  • Austin, TX

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

  • Application stack runs entirely on Docker frontend and backend
  • Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java and Scala are the languages of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is the SQL database of choice
  • Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies

Responsibilities:

  • Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
  • Build data pipelines around event-based and streaming-based AWS services and application features
  • Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
  • Share ownership of all facets of software delivery, including development, operations, and test
  • Mentor junior members of the team and coach them to be even better at what they do

Requirements:

  • Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
  • Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
  • Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
  • Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
  • Developed a strong command over Computer Science fundamentals
MINDBODY Inc.
  • Irvine, CA
  • Salary: $96k - 135k

The Senior Data Engineer focuses on designing, implementing and supporting new and existing data solutions- data processing, and data sets to support various advanced analytical needs. You will be designing, building and supporting data pipelines consuming data from multiple different source systems and transforming it into valuable and insightful information. You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science and the business segments to build batch and real-time data solutions. The role will be part of a team supporting our Corporate, Sales, Marketing, and Consumer business lines.


 
MINIMUM QUALIFICATIONS AND REQUIREMENTS:



  • 7+ years of relevant experience in one of the following areas: Data engineering, business intelligence or business analytics

  • 5-7 years of supporting a large data platform and data pipelining

  • 5+ years of experience in scripting languages like Python etc.

  • 5+ years of experience with AWS services including S3, Redshift, EMR andRDS

  • 5+ years of experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, etc.)

  • Expertise in database design and architectural principles and methodologies

  • Experienced in Physical data modeling

  • Experienced in Logical data modeling

  • Technical expertise should include data models, database design and data mining



PRINCIPAL DUTIES AND RESPONSIBILITIES:



  • Design, implement, and support a platform providing access to large datasets

  • Create unified enterprise data models for analytics and reporting

  • Design and build robust and scalable data integration (ETL) pipelines using SQL, Python, and Spark.

  • As part of an Agile development team contribute to architecture, tools and development process improvements

  • Work in close collaboration with product management, peer system and software engineering teams to clarify requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture

  • Coordinate data models, data dictionaries, and other database documentation across multiple applications

  • Leads design reviews of data deliverables such as models, data flows, and data quality assessments

  • Promotes data modeling standardization, defines and drives adoption of the standards

  • Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata

Riccione Resources
  • Dallas, TX

Sr. Data Engineer Hadoop, Spark, Data Pipelines, Growing Company

One of our clients is looking for a Sr. Data Engineer in the Fort Worth, TX area! Build your data expertise with projects centering on large Data Warehouses and new data models! Think outside the box to solve challenging problems! Thrive in the variety of technologies you will use in this role!

Why should I apply here?

    • Culture built on creativity and respect for engineering expertise
    • Nominated as one of the Best Places to Work in DFW
    • Entrepreneurial environment, growing portfolio and revenue stream
    • One of the fastest growing mid-size tech companies in DFW
    • Executive management with past successes in building firms
    • Leader of its technology niche, setting the standards
    • A robust, fast-paced work environment
    • Great technical challenges for top-notch engineers
    • Potential for career growth, emphasis on work/life balance
    • A remodeled office with a bistro, lounge, and foosball

What will I be doing?

    • Building data expertise and owning data quality for the transfer pipelines that you create to transform and move data to the companys large Data Warehouse
    • Architecting, constructing, and launching new data models that provide intuitive analytics to customers
    • Designing and developing new systems and tools to enable clients to optimize and track advertising campaigns
    • Using your expert skills across a number of platforms and tools such as Ruby, SQL, Linux shell scripting, Git, and Chef
    • Working across multiple teams in high visibility roles and owning the solution end-to-end
    • Providing support for existing production systems
    • Broadly influencing the companys clients and internal analysts

What skills/experiences do I need?

    • B.S. or M.S. degree in Computer Science or a related technical field
    • 5+ years of experience working with Hadoop and Spark
    • 5+ years of experience with Python or Ruby development
    • 5+ years of experience with efficient SQL (Postgres, Vertica, Oracle, etc.)
    • 5+ years of experience building and supporting applications on Linux-based systems
    • Background in engineering Spark data pipelines
    • Understanding of distributed systems

What will make my résumé stand out?

    • Ability to customize an ETL or ELT
    • Experience building an actual data warehouse schema

Location: Fort Worth, TX

Citizenship: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. This company is currently unable to provide sponsorship (e.g., H1B).

Salary: 115 130k + 401k Match

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~SW1317~

Gravity IT Resources
  • Miami, FL

Overview of Position:

We undertaking an ambitious digital transformation across Sales, Service, Marketing, and eCommerce. We are looking for a web data analytics wizard with prior experience in digital data preparation, discovery, and predictive analytics.

The data scientist/web analyst will work with external partners, digital business partners, enterprise analytics, and technology team to strategically plan and develop datasets, measure web analytics, and execute on predictive and prescriptive use cases. The role demands the ability to (1) Learn quickly (2) Work in a fast-paced, team-driven environment (3) Manage multiple efforts simultaneously (4) Adept at using large datasets and using models to test effectiveness of different courses of action (5) Promote data driven decision making throughout the organization (6) Define and measure success of capabilities we provide the organization.


Primary Duties and Responsibilities

    Analy
    • ze data captured through Google Analytics and develop meaningful actionable insights on digital behavior. Put t
    • ogether a customer 360 data frame by connecting CRM Sales, Service, Marketing cloud data with Commerce Web behavior data and wrangle the data into a usable form. Use p
    • redictive modelling to increase and optimize customer experiences across online & offline channels. Evalu
    • ate customer experience and conversions to provide insights & tactical recommendations for web optimization
    • Execute on digital predictive use cases and collaborate with enterprise analytics team to ensure use of best tools and methodologies.
    • Lead support for enterprise voice of customer feedback analytics.
    • Enhance and maintain digital data library and definitions.

Minimum Qualifications

  • Bachelors degree in Statistics, Computer Science, Marketing, Engineering or equivalent
  • 3 years or more of working experience in building predictive models.
  • Experience in Google Analytics or similar web behavior tracking tools is required.
  • Experience in R is a must with working knowledge of connecting to multiple data sources such as amazon redshift, salesforce, google analytics, etc.
  • Working knowledge in machine learning algorithms such as Random Forest, K-means, Apriori, Support Vector machine, etc.
  • Experience in A/B testing or multivariate testing.
  • Experience in media tracking tags and pixels, UTM, and custom tracking methods.
  • Microsoft Office Excel & PPT (advanced).

Preferred Qualifications

  • Masters degree in statistics or equivalent.
  • Google Analytics 360 experience/certification.
  • SQL workbench, Postgres.
  • Alteryx experience is a plus.
  • Tableau experience is a plus.
  • Experience in HTML, JavaScript.
  • Experience in SAP analytics cloud or SAP desktop predictive tool is a plus
Signify Health
  • Dallas, TX

Position Overview:

Signify Health is looking for a savvy Data Engineer to join our growing team of deep learning specialists. This position would be responsible for evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross-functional teams. The Data Engineer will support software developers, database architects, data analysts, and data scientists. The ideal candidate would be self-directed, passionate about optimizing data, and comfortable supporting the Data Wrangling needs of multiple teams, systems and products.

If you enjoy providing expert level IT technical services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools while working closely with IT team members, data scientists, and data engineers to build our next generation of AI-driven solutions, we will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork, and you will find yourself working together with other talented, passionate and dedicated team member, all working towards a shared goal.

Essential Job Responsibilities:

  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data models for greater scalability, etc.
  • Leverage Azure for extraction, transformation, and loading of data from a wide variety of data sources in support of AI/ML Initiatives
  • Design and implement high performance data pipelines for distributed systems and data analytics for deep learning teams
  • Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows
  • Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
  • Communicate results and ideas to key decision makers in a concise manner
  • Comply with applicable legal requirements, standards, policies and procedures including, but not limited to the Compliance requirements and HIPAA.


Qualifications:Education/Licensing Requirements:
  • High school diploma or equivalent.
  • Bachelors degree in Computer Science, Electrical Engineer, Statistics, Informatics, Information Systems, or another quantitative field. or related field or equivalent work experience.


Experience Requirements:
  • 5+ years of experience in a Data Engineer role.
  • Experience using the following software/tools preferred:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with AWS or Azure cloud services.
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
  • Strong work ethic, able to work both collaboratively, and independently without a lot of direct supervision, and solid problem-solving skills
  • Must have strong communication skills (written and verbal), and possess good one-on-one interpersonal skills.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • 2 years of experience in data modeling, ETL development, and Data warehousing
 

Essential Skills:

  • Fluently speak, read, and write English
  • Fantastic motivator and leader of teams with a demonstrated track record of mentoring and developing staff members
  • Strong point of view on who to hire and why
  • Passion for solving complex system and data challenges and desire to thrive in a constantly innovating and changing environment
  • Excellent interpersonal skills, including teamwork and negotiation
  • Excellent leadership skills
  • Superior analytical abilities, problem solving skills, technical judgment, risk assessment abilities and negotiation skills
  • Proven ability to prioritize and multi-task
  • Advanced skills in MS Office

Essential Values:

  • In Leadership Do whats right, even if its tough
  • In Collaboration Leverage our collective genius, be a team
  • In Transparency Be real
  • In Accountability Recognize that if it is to be, its up to me
  • In Passion Show commitment in heart and mind
  • In Advocacy Earn trust and business
  • In Quality Ensure what we do, we do well
Working Conditions:
  • Fast-paced environment
  • Requires working at a desk and use of a telephone and computer
  • Normal sight and hearing ability
  • Use office equipment and machinery effectively
  • Ability to ambulate to various parts of the building
  • Ability to bend, stoop
  • Work effectively with frequent interruptions
  • May require occasional overtime to meet project deadlines
  • Lifting requirements of
HelloFresh US
  • New York, NY

HelloFresh is hiring a Data Scientist to join our Supply Chain Analytics Team! In this exciting role, you will develop cutting edge insights using a wealth of data about our suppliers, ingredients, operations, and customers to improve the customer experience, drive operational efficiencies and build new supply chain capabilities. To succeed in this role, you’ll need to have a genuine interest in using data and analytic techniques to solve real business challenges, and a keen interest to make a big impact on a fast-growing organization.


You will...



  • Own the development and deployment of quantitative models to make routine and strategic operational decisions to plan the fulfillment of orders and identify the supply chain capabilities we need to build to continue succeeding in the business

  • Solve complex optimization problems with linear programming techniques

  • Collaborate across operational functions (e.g. supply chain planning, logistics, procurement, production, etc) to identify and prioritize projects

  • Communicate results and recommendations to stakeholders in a business oriented manner with clear guidelines which can be implemented across functions in the supply chain

  • Work with complex datasets across various platforms to perform descriptive, prescriptive, predictive, and exploratory analyses


At a minimum, you have...



  • Advanced degree in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Engineering or a related field

  • 2 - 5 years’ experience delivering analytical solutions to complex business problems

  • Knowledge of linear programming optimization techniques (familiarity with software like CPLEX, AMPL, etc is a plus)

  • Fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.

  • Experience extracting and transforming data from structured databases such as: MySQL, PostgreSQL, etc.


You are...



  • Results-oriented - You love transforming data into meaningful outcomes

  • Gritty - When you encounter obstacles you find solutions, not excuses

  • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo

  • A team player – You favor team victories over individual success

  • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work

  • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously

  • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems



Our team is diverse, high-performing and international, helping us to create a truly inspiring work environment in which you will thrive!


It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran.

Perficient, Inc.
  • Dallas, TX

At Perficient, youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.

Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.

About Our Data Governance Practice:


We provide exceptional data integration services in the ETL, Data Catalog, Data Quality, Data Warehouse, Master Data Management (MDM), Metadata Management & Governance space.

Perficient currently has a career opportunity for a Python Developer who resides in the vicinity of Jersey City, NJ or Dallas,TX.

Job Overview:

As a Python developer, you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment, and support of application developed for our clients. As a member working in a team environment, you will take direction from solution architects and Leads on development activities.


Required skills:

  • 6+ years of experience in architecting, building and maintaining software platforms and large-scale data infrastructures in a commercial or open source environment
  • Excellent knowledge of Python
  • Good knowledge of and hands on experience working with quant/data Python libraries (pandas/numpy etc)
  • Good knowledge of and hands on experience designing APIs in Python (using Django/Flask etc)

Nice to have skills (in the order of priority):

  • Comfortable and Hands on experience with AWS cloud (S3, EC2, EMR, Lambda, Athena, QuickSight etc.) and EMR tools (Hive, Zeppelin etc)
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Hands on experience in Hadoop MapReduce or other big data technologies and pipelines (Hadoop, Spark/pyspark, MapReduce, etc.)
  • Bash Scripting
  • Understanding of Machine Learning and Data Science processes and techniques
  • Experience in Java / Scala


Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities, and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues with great benefits are just part of what makes Perficient a great place to work.

Computer Staff
  • Fort Worth, TX

We have been retained by our client located in Fort Worth, Texas (south Ft Worth area), to deliver a Risk Modeler on a regular full-time basis.   We prefer SAS experience but are interviewing candidates with R, SPSS, WPS, MatLab or similar statistical package experience if candidate has experience from financial loan credit risk analysis industry. Enjoy all the resources of a big company, none of problems that small companies have. This company has doubled in size in 3 years. We have a keen interest in finding a business minded statistical modeling candidate with some credit risk experience to build statistical models within the marketing, direct mail areas of financial services, lending, loans. We are seeking a candidate with statistical modeling, and data analysis skills, interested in creating better ways to solve problems in order to increase loan originations, and decrease loan defaults, and more. Our client is in business to find prospective borrowers, originate loans, provide loans, service loans, process loans and collect loan payments. The team works with third party data vendors, credit reporting agencies and data service providers, data augmentation, address standardization, fraud detection; decision sciences, analytics, and this position includes create of statistical models. They support the one of the, if not the largest profile of decision management in the US.  


We require experience with statistical analysis tools such as SAS, Matlab, R, WPS or SPSS or Python if to do statistical analysis. This is a statistical modeling, risk modeling, model building, decision science, data analysis and statistical analysis type of role requiring SQL and/or SQL Server experience and critical thinking skills to solve problems.   We prefer candidates with experience with data analysis, SQL queries, joins (left, inner, outer, right), reporting from data warehouses with tools such as Tableau, COGNOS, Looker, Business Objects. We prefer candidates with financial and loan experience especially knowledge of loan originations, borrower profiles or demographics, modeling loan defaults, statistical analysis i.e. Gini Coefficients and K-S test / Kolmogorov-Smirnov test for credit scoring and default prediction and modeling.


However, primarily critical thinking skills, and statistical modeling and math / statistics skills are needed to fulfill the tasks of this very interesting and important role, including playing an important role growing your skills within this small risk/modeling team. Take on challenges in the creation and use of statistical models. There is no use for Hadoop, or any NoSQL databases in this position this is not a big data type of position. no "big data" type things needed. There is no Machine Learning or Artificial Intelligence needed in this role. Your role is to create and use those statistical models. Create statistical models for direct mail in financial lending space to reach the right customers with the right profiles / demographics / credit ratings, etc. Take credit risk, credit analysis, loan data and build a new model, or validate the existing model, or recalibrate it or rebuild it completely.   The models are focused on delivering answers to questions or solutions to problems within these areas financial loan lending: Risk Analysis, Credit Analysis, Direct Marketing, Direct Mail, and Defaults. Logistical regression in SAS or Knowledge Studio, and some light use of Looker as the B.I. tool on top of SQL Server data.   Deliver solutions or ways for this business to make improvements in these areas and help the business be more profitable. Seek answers to questions. Seek solutions to problems. Create models. Dig into the data. Explore and find opportunities to improve the business. Expected to fit within the boundaries of defaults or loan values and help drive the business with ideas to get a better models in place, or explore data sources to get better models in place. Use critical thinking to solve problems.


Answer questions or solve problems such as:

What are the statistical models needed to produce the answers to solve risk analysis and credit analysis problems?

What are customer profiles have the best demographics or credit risk for loans to send direct mail items to as direct marketing pieces?

Why are loan defaults increasing or decreasing? What is impacting the increase or decrease of loan defaults?  



Required Skills

Bachelors degree in Statistics or Finance or Economics or Management Information Systems or Math or Quantitative Business Analysis or Analytics any other related math or science or finance degree. Some loan/lending business domain work experience.

Masters degree preferred, but not required.

Critical thinking skills.

must have SQL skills (any database SQL Server, MS Access, Oracle, PostgresSQL, Postgres) and the ability to write queries, joins, inner joins, left joins, right joins, outer joins. SQL Server is highly preferred.

Any statistical analysis systems / packages experience including statistical modeling experience, and excellent math skills:   SAS, Matlab, R, WPS, SPSS or Python with R language if used in statistical analysis. Must have significant statistical modeling skills and experience.



Preferred Skills:
Loan Credit Analysis highly preferred.   SAS highly preferred.
Experience with Tableu, Cognos, Business Objects, Looker or similar data warehouse data slicing and dicing and data warehouse reporting tools.   Creating reports from data warehouse data, or data warehouse reporting. SQL Server SSAS but only to pull reports. Direct marketing, direct mail marketing, loan/lending to somewhat higher risk borrowers.



Employment Type:   Regular Full-Time

Salary Range: $85,000 130,000 / year    

Benefits:  health, medical, dental, vision only cost employee about $100 per month.
401k 4% matching after 1 year, Bonus structure, paid vacation, paid holidays, paid sick days.

Relocation assistance is an option that can be provided, for a very well qualified candidate. Local candidates are preferred.

Location: Fort Worth, Texas
(area south of downtown Fort Worth, Texas)

Immigration: US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.

Please apply with resume (MS Word format preferred), and also Apply with your Resume or apply with your Linked In Profile via the buttons on the bottom of this Job Posting page:  

http://www.computerstaff.com/?jobIdDescription=314  


Please call 817-424-1411 or please send a Text to 817-601-7238 to inquire or to follow up on your resume application. Yes, we recommend you call to leave a message, or send a text with your name, at least.   Thank you for your attention and efforts.

National Oilwell Varco
  • Houston, TX

NOV is seeking an experienced Data Modeler to assist in building and supporting RigSystems & Aftermarket's Data Warehouse.  This resource will be responsible for separating different types of data into structures that can be easily processed by various systems. This resource will also focus on a variety of issues, such as enhancing data migration from one system to another and eliminating data redundancy.  

Duties and responsibilities include:

  • Understand and translate business needs into data models supporting long-term solutions.

  • Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.

  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.

  • Optimize and update logical and physical data models to support new and existing projects.

  • Maintain conceptual, logical and physical data models along with corresponding metadata.

  • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.

  • Recommend opportunities for reuse of data models in new environments.

  • Perform reverse engineering of physical data models from databases and SQL scripts.

  • Evaluate data models and physical databases for variances and discrepancies.

  • Validate business data objects for accuracy and completeness.

  • Analyze data-related system integration challenges and propose appropriate solutions.

  • Develop data models according to company standards.

  • Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.

  • Review modifications to existing software to improve efficiency and performance.

  • Examine new application design and recommend corrections if required.

Qualifications / Requirements:

  • Bachelors degree in Information Technology or Computer Science

  • 3+ years experience as a Data Modeler/Data Architect

  • Proficient in the use of data modeling tools; Eriwin proficiency is a must.

  • Experience in meta data management and data integration engines such as Biztalk or Informatica

  • Experience in supporting as well as implementing Oracle and SQL data infrastructures

  • Knowledge of the entire process behind software development including design and deployment (SOA knowledge and experience is a bonus)

  • Expert analytical and problem-solving traits

  • Knowledge of the design, development and maintenance of various data models and their components

  • Understand BI tools and technologies as well as the optimization of underlying databases

Apporchid Inc
  • Philadelphia, PA

Java- Techcnial lead

Job description:

Experienced Java/J2EE technical lead with proven expertise in implementing, managing enterprise scale Hadoop architectures and environments. Setup highly available App Orchid Java Product platform in AWS with industry standard security frameworks. Collaborates with application developers to support, manage, enhance and tactical roadmaps to support large and highly visible Product environment deployments.

Roles and Responsibilities:

  • Work with Solution Architects and Business leaders to understand the architectural roadmaps that support and fulfill business strategy.
  • Lead and design custom solutions on our App Orchid Product Platform
  • Act as a Tech Lead and Engineer mentoring colleagues with less experience
  • Collaboration with a high-performing, forward-focused team, Product Owner(s) and Business stakeholders engagement
  • Enable and influence the timely and successful delivery of business data capabilities and/or technology objectives
  • Opportunity to expand your communication, analytical, interpersonal, and organization capabilities
  • Experience working in a fast paced environment driving business outcomes leveraging Agile to its fullest
  • Enhance your entrepreneurial mindset network opportunity and influencing outcomes
  • Supporting environment that fosters can-do attitude and opportunity for growth and advancement based on consistent demonstrative performance.
  • Expertise in system administration and programming skills. Storage, performance tuning and capacity management of Big Data.
  • Good understanding of Hadoop eco system such as HDFS, YARN, Map Reduce, HBase, Spark, and Hive.
  • Experience in setup of SSL and integration with Active Directory.
  • Good exposure to CI/CD
  • Oversee technical deliverables for invest and maintenance projects through the software development life cycle, including validating the completeness of estimates, quality and accuracy of technical designs, build and implementation.
  • Proactively address technical issues and risks that could impact project schedule and/or budget
  • Work closely with stakeholders to design and document automation solutions that align with the business needs and also consistent with the architectural vision.
  • Facilitate continuity between Sourcing Partners, other IT Groups and Enterprise Architecture.
  • Work closely with the architecture team to ensure that the technical solution designs and implementation are consistent with the architectural vision, as well as to drive the business through technical innovation through the use of newly identified and leading technologies.
  • Own and drive adoption of DevOps tools and best practices (including conducting (automated) code reviews, reducing/eliminating technical debt, and delivering vulnerability free code) across the application portfolio.

Qualifications

  • Bachelor's degree or equivalent work experience
  • Eight to Ten years (or more) experience as Java/J2EE Technical lead/Sr developer in a large production environment.
  • A deep understanding of Big Data,  Java, Elastic Search, Kibana, Postgresql, TestNG, Gradle
  • Good verbal and written communication skill
  • Demonstrated experience in working on large projects or small teams
  • Working knowledge of Red Hat Linux and Windows operating systems
  • Expert knowledge in Java programming language, SQL and microservices  
  • Good understanding of Cloud technologies, especially AWS stack
  • At least 8 years experience with developing and implementing applications

Desired Skills and Experience

  • Proficient with Java development
  • Ability to quickly learn new technologies and enable/train other analysts
  • Ability to work independently as well as in a team environment on moderate to highly complex issues
  • High technical aptitude and demonstrated progression of technical skills - continuous improvement
  • Ability to automate software/application installations and configurations hosted on Linux servers.
TomTom
  • Ghent, Belgium
At TomTom…

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.


We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do



  • You will work on incremental data transformation algorithms and deliver high quality software through agile development methodologies

  • You will dive into the pile of metadata we gathered on our processes and write tooling to gather insights

  • Use those insights to make recommendations to streamline the process

  • Quickly assess and apply the potential of emerging technologies

  • You will keep looking at the bigger picture for the problem at hand



What you’ll need



  • Your Data Mining techniques and tooling know-how are impressive. Same goes for your experience with cloud computing.

  • You have the skills and desire to build and improve visual simulations of complex data structures.

  • You love working as part of a self-organizing Scrum team in a scaled, agile environment.

  • You are working with automated testing, CI techniques and tools, design patterns and clean code principles.

  • You have knowledge of Java and of streaming concepts.
     


What’s nice to have



  • You might have knowledge in one (or several) of these areas: Prototyping, Geospatial processing, Lambda and Kappa architectures, Unix based environments, Hadoop, Hbase or HDFS.
     


Meet your team

We’re Maps, a product unit within TomTom’s Location Technology Products technical unit. Our team is comprised of over 2,000 people in 40 countries – all driven to deliver the most up-to-date, accurate and detailed maps for the hundreds of millions of people using TomTom maps around the world. Joining our team, you’ll help continuously innovate our map-making processes, create a real-time closed loop between detected changes in the real world and the users’ map, and build maps that will enable the future of autonomous driving.

Achieve more

We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring. 

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

TomTom is an equal opportunity employer

We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

Ready to move the world forward?
 

Siemens AG Österreich
  • Wien, Österreich
  • Salary: $45k - 65k

Your new role – challenging and future-oriented



  • Create and maintain optimal data pipeline architecture.

  • Assemble large, complex data sets that meet functional/non-functional use-cases requirements

  • Build the infrastructure and procedures required for optimal Extraction, Transformation, and Loading (ETL) of data from a wide variety of data sources.



  • Build the data pipelines that support the data analytics aiming to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

  • Work alongside Data Scientists to productionalize advanced computer science algorithms based on statistical and machine learning models.



  • Work with stakeholders including the Executive, Sales, and Data Science teams to assist with data-related technical issues and support their data infrastructure needs.

  • Keep our data access compliant with GDPR regulations within the company boundaries and the AWS data center.

  • Design and implement data access restriction policies for the different stakeholders and company functions.

  • Identify, design, and implement optimal data processing technologies and tools to strive for greater data lab functionality.


Your profile    



  • A Graduate degree in Computer Science, Informatics, Information Systems or equivalent quantitative field.

  • Advanced working SQL knowledge and experience working with and designing relational databases, optimized query authoring, as well as working familiarity with a variety of databases.

  • Experience building and optimizing data pipelines, architectures and data sets.

  • Ability to build processes supporting data transformation and cleaning, data structures, metadata, dependency and workload management.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

  • Ability to assist in documenting requirements, as well as resolve conflicts or ambiguities.

  • Strong analytic skills related to working with heterogeneous datasets.

  • Experience supporting and working with cross-functional teams in a dynamic environment.

  • Strong project management and organizational skills.

GE Capital
  • Ann Arbor, MI
  • ***Please Note: This Role is in Van Buren, MI (30 minutes drive from Ann Arbor)


Role Summary

Serve as analytics & visualization developer to build innovative solutions to support a broad range of analysis and outcomes. Partner with teams to create wing-to-wing transactional views, trends and anomalies leveraging GE's data lake. Look for new ways to harness the data we have for insights and actionable outcomes. 

 
In This Role, You Will

Essential Responsibilities: 


  • Develop Spotfire reports utilizing advanced data visualization techniques and related SQL.
  • Leverage Treasury Data Lake and data virtualization technologies (Denodo) to deliver new capabilities on tablet and mobile platforms.
  • Work on an agile team using Rally to quickly prototype and iterate on ideas
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities
  • Technical analysis working with PostgreSQL & AWS native services
  • Partner with business teams to define requirements & user stories
  • Building and implementing analytical models with R and Python


Qualifications/Requirements
  • Bachelors degree from an accredited university or college in Computer Science or Information Systems
  • One or more years experience of design & development of data centric applications leveraging data from enterprise data warehouses.


Eligibility Requirements:

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job


Technical Expertise

Desired Characteristics:
  • 1 year+ experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Spotfire, Qlik, Tableau etc.); a data and reporting guru.
  • Experience with web technologies such as ASP, HTML and CSS Integration of same with Data Visualization tools (e.g. extensions) a plus
  • Experience with scripting languages like Java Script, Python etc.
  • Exposure to advanced analytic & data science applications
  • Excellent BI application development skills, as demonstrated by having led, designed and implemented successful web and mobile projects
  • Ability to clearly articulate creative ideas to senior leaders
  • Ability to guide and direct technical team members through the SDLC
  • Ability to hit tight deadlines and work under pressure
  • SAP and/or Oracle ERP systems exposure a plus
  • Passion for learning new technologies and eagerness to collaborate with other creative minds
  • Strong desire for exploring, evaluating and understanding new technologies
Strong Analytics
  • Chicago, IL
  • Salary: $80k - 125k

Strong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building  statistical models, and generally helping our clients discover value in their data.


At Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.


We offer a comprehensive compensation package, including:



  • Competitive salary

  • Profit sharing or equity, based on experience

  • Health insurance

  • Four weeks paid vacation

  • Work-from-Home Wednesdays



Requirements



Candidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):



  • Statistical modeling and hypothesis testing

  • Designing, training, and validating results from a breadth of machine learning algorithms

  • Writing clean, efficient SQL

  • Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)

  • Building Python applications

  • Deploying applications into cloud-based infrastructures (e.g., AWS)

  • Building deep neural networks with modern tools, such as PyTorch or Tensorflow

  • Creating and interacting with RESTful APIs

  • Managing *nix servers

  • Writing unit tests

  • Collaborating via Git


Applicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.


Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.

Giesecke+Devrient Currency Technology GmbH
  • München, Deutschland

Arbeiten Sie mit an einer Zukunft, die bewegt. Für unsere Division Currency Management Solutions suchen wir Sie als



Big Data Engineer (m/w/d)



Ihre Aufgaben:




  • Sie sind verantwortlich für Design, Implementierung und Betrieb von effektiven Data Processing Architekturen innerhalb unserer innovativen Microservices- und Cloud-basierten Data Analytics, IIoT und Digitallösungen

  • Ingestion, Integration, Organization, Batch und Stream Processing, Lifecycle Management der Daten

  • Sichern der Qualität, Integrität und Privacy der Daten

  • Setup, Monitoring und Tuning der Hadoop Cluster und Datenbanken, you build it you run it

  • Enge Zusammenarbeit in agilen Teams mit Data Scientists, Entwicklungsteams und Product Ownern in der Datenmodellierung, Datenanalyse und Technologieberatung



Ihr Profil:




  • Studium (Master, FH / Uni) der Informatik oder einer vergleichbaren Fachrichtung

  • Sehr gute Kenntnisse mit Data Ingestion / Integration (Flume, Sqoop, Nify) Data Storage (PostgreSQL, MongoDB), Distributed Storage (Hadoop, Cloudera), Messaging (Kafka, MQTT), Data Processing (Spark, Scala), Scheduling (Oozie, Pig)

  • Praktische Erfahrung in der Entwicklung und Betrieb von large-scale Data Processing Pipelines in skalierbaren Microservice / REST Architekturen

  • Erfahrung in Cloud-Umgebungen wie Microsoft Azure oder AWS wünschenswert

  • Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift






Wir freuen uns auf Ihre Online-Bewerbung unter www.gi-de.com/karriere.




Giesecke+Devrient Currency Technology GmbH · Prinzregentenstraße 159 · 81677 München

Giesecke+Devrient Currency Technology GmbH
  • München, Deutschland

Arbeiten Sie mit an einer Zukunft, die bewegt. Für unsere Division Currency Management Solutions suchen wir Sie als



Java Software Architekt (m/w/d)



Ihre Aufgaben:




  • Sie gestalten und verantworten die Umsetzung komplexer IIoT Machine Operations, Data Analytics oder Digitallösungen für uns und Cash Center unserer Kunden. Cash Center sind von uns entwickelte voll automatisierte und schlüsselfertige Anlagen. Sie bieten Services von der Produktion, über das Sortieren und die Umlaufprüfung bis hin zur Vernichtung von Banknoten

  • Sie entwickeln skalierbare und zukunftsweisende Architekturen, die für den Cloud-basierten Einsatz wie auch für on-premise geeignet sind

  • Die notwendigen Technologien und Methoden sind Ihnen bestens vertraut und Sie entwickeln diese kontinuierlich im Team weiter

  • Mit Ihrer Erfahrung in der interdisziplinären und verteilten Zusam­men­arbeit und Nutzung von agilen Praktiken wie Scrum und Lean-Startup ge­währ­leis­ten Sie den Produkterfolg im gesamten Lebenszyklus (you build it you run it)

  • Sie kommunizieren und präsentieren verständlich Ihre Lösung, die tech­nische Roadmap inklusive Vision

  • Gemeinsam in einem Team von Architekten und Product Ownern bringen Sie die Gesamtlösung voran und sichern damit unsere Innovationsführerschaft und den Kundenerfolg



Ihr Profil:




  • Studium (Master, FH / Uni) der Informatik oder einer vergleichbaren Fach­rich­tung

  • Nachgewiesene Erfahrung als Software Architekt (m/w/d) von skalierbaren Lösungen mit profundem Wissen in modernen Design Patterns (wie Micro­services, REST, Web-APIs, IIoT, Digital Twins, Cloud, Data Analytics)

  • Praktische Erfahrung mit Data Storage Technologien (NoSQL, SQL, Caching, Hadoop) und erste Erfahrung in Cloud-Umgebungen (wie Micro­soft Azure oder AWS)

  • Erfahrung in Technologien wie Linux, Java, Python, Spring Boot, Traefik, Docker, Kubernetes, Hazelcast, Redis, Kafka, MQTT, PostgreSQL, MongoDB, ElasticSearch, Prometheus, Kibana, Angular, Vue, OAuth, DevOps

  • Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift






Wir freuen uns auf Ihre Online-Bewerbung unter www.gi-de.com/karriere.




Giesecke+Devrient Currency Technology GmbH · Prinzregentenstraße 159 · 81677 München

Nielsen
  • Headquarters: San Francisco, C
Headquarters: San Francisco, CA URL: https://jobs.nielsen.com [https://jobs.nielsen.com] EXPLORE AND DISCOVER NIELSEN! WITH OFFICES LOCATED IN 110 COUNTRIES, WE ARE A GLOBAL INDEPENDENT MEASUREMENT AND BIG DATA ANALYTICS COMPANY FOCUSED ON YOUR FUTURE.NIELSEN PORTFOLIOIS ONE OF THREE CORE NIELSEN BUSINESSES. THE NEWLY ESTABLISHED PORTFOLIO DIVISION IS DEFINED AS A HIGH-GROWTH, INNOVATION-BASED BUSINESS THAT SUPPORTS THE NEEDS OF OUR CLIENTS.PORTFOLIO INCLUDES GRACENOTE, NIELSEN SPORTS/ESPORTS/GAMES, NIELSEN MUSIC, BRANDBANK, SUPERDATA, & NIELSEN BOOK, MAKING NIELSEN PORTFOLIO THE LARGEST SUPPLIER OF METADATA, DATA, MEASUREMENT, AND INSIGHTS TO THE GLOBAL ENTERTAINMENT INDUSTRY. Gracenote, a Nielsen Company is the leading provider of entertainment metadata and media recognition technology that powers discovery features for top TV, music, sports and automotive platforms.We are presently looking for aData Scientist for our Connectivity (Telecom) teamwho will be responsible for supporting custom analysis using data from existing Telecom products and assisting in the development of novel client solutions in the form of new products or combining data across Nielsen Telecom platforms. This role can be based in San Francisco or Emeryville. The Data Scientist for Telecom is responsible for supporting custom analysis using data from existing Telecom products and assisting in the development of novel client solutions in the form of new products or combining data across Nielsen platforms. Job Responsibilities * Data Science product support (includes new feature development, methodology, client inquiry response) * Work across different products to help develop integrated vertical solutions for Connectivity * Work with the product leadership team to ensure compatibility of developing solutions with commercial need * Work with the Technology team to transform data streams into business insights * Coordinate with Operations team to transition completed solutions to production * Assist cross-functional teams in design, implementation, and testing of integrated product solutions. * Provide research support for the identification and implementation of methods and best practices to improve product quality. * Work across products when advanced/custom analysis is required for specific business opportunities. Requirements * Experience or thorough training in Python * Strong SQL skills and relevant experience * Ability to manipulate/munge data, analyze, and interpret results of data analysis * Experience in big data technologies and AI / machine learning * B.S. or Master’s degree in Data Science, Statistics, Social Science, Operation Research, or other hard sciences (e.g., Engineering, Computer Science, Biology, Physics, etc.) with * analytical experience. * Experience in trend analyses, multivariate statistics, bias reduction, weighting * Data visualization experience (e.g., Tableau, Spotfire, Microstrategy, Domo, etc.) * One to three years of relevant experience preferred * Strong written and verbal communication skills * Proficiency in SAS, SPSS, R, Matlab, or other statistical packages preferred Gracenote, a Nielsen company, is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class To apply: https://jobs.nielsen.com/job/San-Francisco-Data-Scientist-%28Gracenote-Connectivity%29-CA-94101/516138700/?utm_campaign=futurejobs [https://jobs.nielsen.com/job/San-Francisco-Data-Scientist-%28Gracenote-Connectivity%29-CA-94101/516138700/?utm_campaign=futurejobs]
Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements, in conjunction with 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 Delivery & Operations career track drive delivery and capability excellence through the design, development and/ or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an Appreciating Business Asset.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Job Description
Data Intelligence professionals define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture.
A professional in this position within Accenture has the following responsibilities:
    • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
    • Understands and contributes to the strategic direction set by senior management as it relates to team goals.
    • 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.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum of 5 years of experience in software development and scripting languages.
    • Minimum of 5 years of hands-on database experience, including RDBMS (Postgres, Oracle, MySQL, etc.) and NoSQL (document, key-value, or column stores such as MongoDB, Cassandra, HBase), and modeling / assembling datasets that meet functional / non-functional business requirements.
    • Minimum of 3 years of experience in Big Data technologies (Hadoop and Spark ecosystems).
    • Minimum of 5 years of experience gathering and analyzing requirements, converting them to technical specifications.
    • Minimum of 3 years of experience in micro-service integration and/or UI development.
    • Minimum of 3 years of experience in full life cycle Data Intelligence project from functional design to deployment.
    • Minimum of 3 years of experience in data integration (batch and/or API), data quality and data integrity concepts.
    • Travel required up to 100%
    • Bachelors Degree or Associate Degree with 6 years of work experience or equivalent work experience of 12 years
Preferred Qualifications
    • Experience with ontology development and management.
    • Familiarity with Semantic and Linked Data concepts, such as ontologies.
    • Hands on experience with graph databases or RDF stores (Neo4j, Stardog, ArandoDB, OrientDB, Jaunus Graph, etc.)
    • Experience with graph query languages, graph query optimization, and graph data indexing and storage.
    • Exposure to writing POVs on emerging Knowledge Graph technologies
    • Experience with building data ETL data pipelines and architectures for large-scale applications.
    • Working knowledge of message queueing, stream processing, and scalable data pipelines.
    • Experience building big data pipelines and architectures.
    • Experience with machine learning tools like scikit-learn, H2O, TensorFlow, etc.
    • Experience with data quality tools to profile, cleanse, standardize and enrich data.
Professional Skill Requirements
    • Proven success in contributing to a team-oriented environment and leading a small team
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent leadership, communication (written and oral) and interpersonal skills
All of our professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll 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.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.