OnlyDataJobs.com

Glocomms
  • Dallas, TX

Data Scientist
Dallas, TX
Investment Bank
Compensation: $160,000-$190,000 + Bonus 

(Unlimited PTO, Daily Catered Lunches, Remote Work Options)

Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.

You will be responsible for:
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Applying latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events, and derive dynamic cybersecurity rules.

Minimum Qualifications:
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proven knowledge of industry leading scripting tools such as Python, Powershell, R and SQL
Ability to document and explain technical details in a concise and understandable manner.
Solid foundation in natural language processing and machine learning
Strong English verbal and written communication skills.

Preferred Qualifications
Bachelor of Science in Computer Science, System/Computer Engineering, Cyber-Security, or Information Security
Strong mathematical background (linear algebra, calculus, probability and statistics).
Experience with knowledge management best practices
Experience with cloud based big data platforms such as AWS or Google a plus







Briq
  • Santa Barbara, CA
  • Salary: $70k - 100k

Briq is hiring a Senior Full Stack Software Engineer Big Data/ML Pipelines to scale up its AI and ML dev team. You will need to have strong programming skills, a proven knowledge of traditional Big Data technologies, experience working with heterogeneous data types at scale, experience with Big Data architectures, past experience working with a team to transform proof-of-concept tools to production-ready toolkits, and excellent communication and planning skills. You and other engineers in this team will help advance Briq's capacity to build and deploy leading solutions for AI-based applications in cyber security.


What You'll Be Doing • Working with data scientists and data engineers to turn proof-of-concept analytics/workflows into production-ready tools and toolkits • Architecting and implementing high performance data pipelines and integrating them with existing cyber security infrastructure and solutions • Deploying and productionalizing solutions focused around threat hunting, anomaly detection, and security analytics • Providing input and feedback to teams regarding decisions surrounding topics such as infrastructure, data architectures, and DevOps strategy • Building automation and tools that will increase the productivity of teams developing distributed systems


What We Need To See • You have a BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field with 4+ years of work or research experience in software development • 1+ years working with data scientists and data engineers to implement proof-of-concept ideas to production environments, including transitioning tools from research-based tools to those ready for deployment • Strong skills in Python and scripting tasks as well as comfort in using Linux and typical development tools (e.g., Git, Jira, Kanban) • Solid knowledge of traditional big data technologies (e.g., Hadoop, Spark, Cassandra) and expertise developing for and targeting at least one of these platforms • Experience with using automation tools (e.g., Ansible, Puppet, Chef) and DevOps tools (e.g., Jenkins, Travis-CI, Gitlab CI) • Experience with or exposure to cyber network data (e.g., PCAP, flow, host logs) or a demonstrated ability to work with heterogeneous data types that are produced at high velocity • Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies


Ways To Stand Out From The Crowd • Experience working with AI/machine learning/deep learning computing is the most productive and pervasive platform for deep learning and AI.  We integrate and optimize every deep learning framework. With deep learning, we can teach AI to do almost anything.  We are making sense of the complex world of construction. These are just a few examples. AI will spur a wave of social progress unmatched since the industrial revolution.


Briq is changing the world of construction. Join our development team and help us build the real-time, cost-effective computing platform driving our success in this dynamic and quickly growing field in one of the world's largest industries.


Briq is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


Read About Us on TechCrunch : https://techcrunch.com/2019/02/22/briq-the-next-building-block-in-techs-reconstruction-of-the-construction-business-raises-3-million/ 

Brickschain
  • Santa Barbara, CA
  • Salary: $70k - 100k

Briq is hiring a Senior Full Stack Software Engineer Big Data/ML Pipelines to scale up its AI and ML dev team. You will need to have strong programming skills, a proven knowledge of traditional Big Data technologies, experience working with heterogeneous data types at scale, experience with Big Data architectures, past experience working with a team to transform proof-of-concept tools to production-ready toolkits, and excellent communication and planning skills. You and other engineers in this team will help advance Briq's capacity to build and deploy leading solutions for AI-based applications in cyber security.


What You'll Be Doing • Working with data scientists and data engineers to turn proof-of-concept analytics/workflows into production-ready tools and toolkits • Architecting and implementing high performance data pipelines and integrating them with existing cyber security infrastructure and solutions • Deploying and productionalizing solutions focused around threat hunting, anomaly detection, and security analytics • Providing input and feedback to teams regarding decisions surrounding topics such as infrastructure, data architectures, and DevOps strategy • Building automation and tools that will increase the productivity of teams developing distributed systems


What We Need To See • You have a BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field with 4+ years of work or research experience in software development • 1+ years working with data scientists and data engineers to implement proof-of-concept ideas to production environments, including transitioning tools from research-based tools to those ready for deployment • Strong skills in Python and scripting tasks as well as comfort in using Linux and typical development tools (e.g., Git, Jira, Kanban) • Solid knowledge of traditional big data technologies (e.g., Hadoop, Spark, Cassandra) and expertise developing for and targeting at least one of these platforms • Experience with using automation tools (e.g., Ansible, Puppet, Chef) and DevOps tools (e.g., Jenkins, Travis-CI, Gitlab CI) • Experience with or exposure to cyber network data (e.g., PCAP, flow, host logs) or a demonstrated ability to work with heterogeneous data types that are produced at high velocity • Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies


Ways To Stand Out From The Crowd • Experience working with AI/machine learning/deep learning computing is the most productive and pervasive platform for deep learning and AI.  We integrate and optimize every deep learning framework. With deep learning, we can teach AI to do almost anything.  We are making sense of the complex world of construction. These are just a few examples. AI will spur a wave of social progress unmatched since the industrial revolution.


Briq is changing the world of construction. Join our development team and help us build the real-time, cost-effective computing platform driving our success in this dynamic and quickly growing field in one of the world's largest industries.


Briq is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


Read About Us on TechCrunch : https://techcrunch.com/2019/02/22/briq-the-next-building-block-in-techs-reconstruction-of-the-construction-business-raises-3-million/ 

The NPD Group
  • Headquarters: Port Washington,
Headquarters: Port Washington, NY URL: https://www.npdgroup.ca/wps/portal/npd/ca/about-npd/ [https://www.npdgroup.ca/wps/portal/npd/ca/about-npd/] Learn and work on meaningful initiatives with some of the best and brightest in the market research industry. The NPD Group provides the world’s most successful brands with leading market research, combining consumer and retail point-of-sale data with analytic solutions to interpret today’s market trends while anticipating tomorrow’s. In addition, we offer a career filled with innovation and growth to the forward-thinking problem solvers who join our team. Position OverviewWork with the latest machine learning techniques and technologies to influence the innovation of products in a highly collaborative environment. Checkout Tracking is a revolutionary marketing research platform that captures consumer purchases from smartphones and transforms the data into information products for our many clients. From millions of consumers we mine hundreds of millions of receipts - yielding transaction-level detail across all retailers, all channels, and over time. Join this startup business with the financial backing of one of the marketing research industry’s leading companies: * Create the next set of methodologies for data classification and error detection * Leverage big-data technology to design, prototype, develop and optimize production algorithms * Partner with key stakeholders to understand their needs and build new solutions * Develop plans for data collection and analyses for future machine learning and natural language processing capabilities Qualifications: * 4+ years (Master’s Degree) or 2+ years (PhD) experience. Advanced degree in computer science, statistics, physics, or related quantitative field preferred. * Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, text analytics, and predictive modeling * Strong skills in statistical analyses with abilities in advanced data management and statistical programming using python, R, Java, and/or other languages * Experience with the Hadoop ecosystem, Spark * Familiarity with Agile methodologies * Understanding of cloud platforms like AWS and Azure * Team-oriented (we run a meritocracy), creative, tenacious, curious, and passionate about data and data science The NPD Group, Inc. is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status or any other characteristic protected by law. To apply: https://www.npdgroup.ca/wps/portal/npd/ca/about-npd/ [https://www.npdgroup.ca/wps/portal/npd/ca/about-npd/]
YouGov
  • Warsaw, Poland
  • Salary: £45k - 55k

Are you our next Senior Data Scientist? 


We don’t just collect data, we connect data. YouGov is an international data and analytics group with the ambition to become a unique part of the global internet infrastructure - like Google for search, Facebook for social, Amazon for retail, we want it to be YouGov for opinion. Our value chain is a virtuous circle consisting of a highly engaged online panel, innovative data collection methods and powerful analytics technology. From the beginning we had one simple idea: the more people are able to participate in the decisions made by the institutions that serve them, the better those decisions will be. We are a global online community for millions of people, and thousands of organisations, to engage in a continuous conversation about their beliefs, behaviours and brands, and provide a more accurate portrait of what the world thinks. 


We are looking for a Senior Data Scientist to work in the Data Science and Architecture Team (DSAT).  A core team within the global innovations department, DSAT cooperates closely with senior stakeholders to deliver new data product offerings and insights. The successful candidate will already have minimum 3 years of experience in data science, enjoys working in a team, and is ready to think creatively to find solutions and add value to our products. They will join our vision of making information more insightful and more widely available.


What will I be doing day to day? 



  • Use machine learning on a wide array of large, complex datasets

  • Communicate insights in a clear, straightforward manner

  • Deliver actionable, data science-informed contributions to internal and external projects

  • Work with senior stakeholders on global projects

  • Guide and develop junior members of the team


You are:



  • Passionate about creatively using data to solve problems

  • A self-starter, keen to learn new technologies at a fast pace

  • Undaunted by big challenges


What do I need to bring with me?



  • MSc or PhD in a quantitative discipline (e.g. Computer Science, Statistics, Maths or similar)

  • Experience with applying supervised and unsupervised learning algorithms to deliver actionable insights using Python (pandas, sklearn, matplotlib) and R (tidyverse, ggplot2)

  • Experience with wrangling large, unstructured datasets

  • Experience with efficiently conveying complex results to non-technical stakeholders

  • Experience with database languages (SQL)

  • Experience with creating production-ready machine learning pipelines a plus

  • Experience in version control, code reviews, and test-driven development a plus

  • Experience with cloud services (AWS) a plus

  • Experience with containerisation using Docker a plus

  • Project management experience (being able to translate business needs into analytical questions and deliver actionable results in timely manner)

  • Line management experience a plus


Experience in one or more:



  • AB testing or multivariate testing

  • Predictive modelling for churn prevention

  • Predictive modelling for fraud detection

  • Market segmentation using clustering techniques

  • Time series analysis/forecasting

  • Anomaly detection

  • Attribution modelling or marketing mix modelling


Any additional info...


This is a full time position, based out of our tech hub in Warsaw, Poland or work remotely. 

Modis
  • San Diego, CA

Responsibilities

  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development, and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.

Qualifications
  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data-rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and the ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending the companys data with third-party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
Sentek Global
  • San Diego, CA

Sentek Global is seeking a Software Engineer to provide support to PMW 150 in San Diego, CA!


Responsibilities
  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.


Qualifications
  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending companys data with third party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
  • Must be US citizen.
Sentek Global
  • San Diego, CA

Sentek Global is seeking a Software Engineer to provide support to PMW 150 in San Diego, CA!


Responsibilities
  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.


Qualifications
  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending companys data with third party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
  • Must be US citizen.
Whole Foods Market
  • Austin, TX

As a Security Engineer you will help ensure our applications and services are designed and implemented to the highest standards. If you enjoy analyzing the security of applications and services, discovering and addressing security issues and quickly reacting to new threat scenarios, this position will provide you with a challenging opportunity. You will participate in security audits, risk analysis, vulnerability testing and security reviews across all elements of this project's software systems.


This role will draw on multiple disciplines:

  • Security Engineering: emphasis on operating systems and networking, foundational Internet services, modern exploitation techniques, and hacking tools
  • Data Science and Intelligence Analysis: emphasis on detecting anomalies in large unstructured data sets, ability to synthesize data and reports from different sources, make logical inferences about that data, and publish results
  • Software Development: ability to develop your own small tools and scripts to aid in data processing or other aspects of an investigation

You will tackle challenging, novel situations every day and given the size of this initiative, youll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that havent been solved at scale before. Along the way, we guarantee that youll learn a ton, have fun and make a positive impact on millions of people.
 

BASIC QUALIFICATIONS:

  • Bachelors degree in Computer Science or related field
  • 5+ years of experience in Security Operations using performing Incident response, Forensics and analysis. Expertise in writing run books, and complexity analysis
  • Runs vulnerability scans and reviews vulnerability assessment reports. Manages and configures security monitoring tools (netflows, IDS, correlation rules, etc.)
  • Strong experience in security engineering and network technologies(PCAP, Netflow), Operating Systems and network security, common attack patterns and exploitation techniques
  • Practical knowledge of system security analysis techniques such as threat modeling, attack graphs, etc.
  • Data Science techniques such as clustering, anomaly detection, and machine learning leveraging data analysis tools such as OSSEC, Splunk, Behavioral Analytics, SQL, R, or MatLab
  • Knowledge of network and web related protocols (e.g., TCP/IP, UDP, IPSEC, HTTP, HTTPS, routing protocols)
  • Excellent written and verbal communication skills


PREFERRED QUALIFICATIONS:

  • Security certifications (CISSP, GCIA GCIH, GCFA, GCFE, etc.)
  • Masters or PhD in Computer Science or related field
  • Experience with Security Operations, Incident Response, Threat Hunting and Assurance methodologies e.g. fuzzing, static and dynamic code analysis
  • Experience with common attack patterns and exploitation techniques. Ability to write fully functional exploits for common vulnerabilities such as simple stack overflow, cross-site scripting, or SQL injection
  • Experience in using standard Security Assessment and Penetration Testing tools such as BurpSuite, Metasploit, and IDA Pro
  • Knowledge of technical security issues facing large multinational companies
Whole Foods Market
  • Austin, TX

As a Security Engineer you will help ensure our applications and services are designed and implemented to the highest standards. If you enjoy analyzing the security of applications and services, discovering and addressing security issues and quickly reacting to new threat scenarios, this position will provide you with a challenging opportunity. You will participate in security audits, risk analysis, vulnerability testing and security reviews across all elements of this project's software systems.


This role will draw on multiple disciplines:

  • Security Engineering: emphasis on operating systems and networking, foundational Internet services, modern exploitation techniques, and hacking tools
  • Data Science and Intelligence Analysis: emphasis on detecting anomalies in large unstructured data sets, ability to synthesize data and reports from different sources, make logical inferences about that data, and publish results
  • Software Development: ability to develop your own small tools and scripts to aid in data processing or other aspects of an investigation

You will tackle challenging, novel situations every day and given the size of this initiative, youll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that havent been solved at scale before. Along the way, we guarantee that youll learn a ton, have fun and make a positive impact on millions of people.
 

BASIC QUALIFICATIONS:

  • Bachelors degree in Computer Science or related field
  • 5+ years of experience in Security Operations using performing Incident response, Forensics and analysis. Expertise in writing run books, and complexity analysis
  • Runs vulnerability scans and reviews vulnerability assessment reports. Manages and configures security monitoring tools (netflows, IDS, correlation rules, etc.)
  • Strong experience in security engineering and network technologies(PCAP, Netflow), Operating Systems and network security, common attack patterns and exploitation techniques
  • Practical knowledge of system security analysis techniques such as threat modeling, attack graphs, etc.
  • Data Science techniques such as clustering, anomaly detection, and machine learning leveraging data analysis tools such as OSSEC, Splunk, Behavioral Analytics, SQL, R, or MatLab
  • Knowledge of network and web related protocols (e.g., TCP/IP, UDP, IPSEC, HTTP, HTTPS, routing protocols)
  • Excellent written and verbal communication skills


PREFERRED QUALIFICATIONS:

  • Security certifications (CISSP, GCIA GCIH, GCFA, GCFE, etc.)
  • Masters or PhD in Computer Science or related field
  • Experience with Security Operations, Incident Response, Threat Hunting and Assurance methodologies e.g. fuzzing, static and dynamic code analysis
  • Experience with common attack patterns and exploitation techniques. Ability to write fully functional exploits for common vulnerabilities such as simple stack overflow, cross-site scripting, or SQL injection
  • Experience in using standard Security Assessment and Penetration Testing tools such as BurpSuite, Metasploit, and IDA Pro
  • Knowledge of technical security issues facing large multinational companies
Glocomms
  • Dallas, TX

Data Scientist
Dallas, TX
Investment Bank
Compensation: $160,000-$190,000

(Unlimited PTO, Remote Work Options, Daily Catered Lunches)

Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.

You will be responsible for:
Designing and integrating state-of-the-art technical solutions? A position as a Security Analyst on our Threat Management Center
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets

Minimum Qualifications:
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proficient coding capability in at least one of the major programming languages such as Python, R, Java
Proficient in data analysis, model building and data mining
Solid foundation in natural language processing and machine learning
Significant experience with deep learning

Preferred Qualifications
Strong interpersonal, communication and communication skills
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Experience with knowledge management best practices
Penchant to learn about new technology innovation and creativity in applying to business problems

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 

Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?

A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment.

We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.





Your profile


  • PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field

  • 5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised

  • Proven experience in applying data science methods to business problems

  • Ability to explain complex analytical concepts to people from other fields

  • Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS

  • Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing)

  • Expertise in text mining and natural language processing is a strong plus

  • Familiarity with network analysis and/or graph databases is a plus

  • High integrity, responsibility and confidentiality a requirement for dealing with sensitive data

  • Strong presentation and communication skills

  • Experience in leading teams and mentoring others

  • Good planning and organisational skills

  • Collaborative mindset to sharing ideas and finding solutions

  • Experience in the financial industry is a strong plus

  • Fluent in English; German, Italian and French a plus



Professional requirements




  • Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems

  • Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts

  • Analyse customer behaviour and needs enabling customer-centric product development

  • Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform

  • Strengthen data science within Avaloq and establish a data science centre of expertise

  • Look for opportunities to use insights/datasets/code/models across other functions in Avaloq



Main place of work
Zurich

Contact
Avaloq Evolution AG
Alina Tauscher, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

careers@avaloq.com
www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
Sentek Global
  • San Diego, CA

Sentek Global is seeking a Software Engineer to provide support to PMW 150 in San Diego, CA!


Responsibilities
  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.


Qualifications
  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending companys data with third party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
KELZAL (QELZAL CORPORATION)
  • San Diego, CA

Challenge:

As Kelzals Machine Learning Engineer, youwill be part of an innovative team that designs and develops algorithms and software for the next generation of AI-enabled visual systems. You will develop power-efficient machine learning and adaptive signal processing algorithms to solve real-world imaging and video classification problems.


Responsibilities:

  • Develop algorithms for the fast, low-complexity and accurate detection and tracking of objects in real-world environments
  • Develop algorithms for event-based spatio-temporal signal processing
  • Contribute to our machine learning tool sets for curating data and training models
  • Inform sensor decisions for optimal approaches to classification for product requirements
  • Follow and drive research on state-of-the-art approaches in the areas described above, as applied to the problems we're solving


Requirements:

·      Experience in event-based signal processing

·      Experience in continuous-time signal processing techniques

·      Experience in some deep neural network packages (e.g. TensorFlow, NVIDIA Digits,             Caffe/Caffe2)

·      Experience with OpenCV

·      Experience with traditional computer vision approaches to image processing

·      Experience with developing machine-learning algorithms for multi-modal object detection,         scene understanding, semantic classification, face verification, human pose estimation, activity recognition, or anomaly detection

·      Strong experience with classification and regression algorithms

·      Strong coding skills with Python and/or C/C++ in Linux environment

·      Track record of research excellence or/and experience converting publications to actual implementations

·      Experience with commercial development processes such as continuous integration, deployment and release management tools a plus.

·      Experience launching products containing machine learning algorithms a plus

·      Experience with fixed point implementation a plus

·      3+ years hands-on experience working in industry

·      MS or PhD Degree in Computer Science, Electrical Engineering or a related field

.      Current US work authorization

UST Global
  • San Diego, CA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

UST Global
  • Atlanta, GA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

SparkCognition
  • Austin, TX

Overview

SparkCognition is an AI leader that offers business-critical solutions for customers in energy, oil and gas, manufacturing, finance, aerospace, defense, and security. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-powered, cyber-physical software for the safety, security, reliability, and optimization of IT, OT, and the Industrial IoT.


SparkCognition is looking for innovative Data Scientists to join our team to help create the next generation of analytics and artificial intelligence solutions. At SparkCognition, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces.


Responsibilities

  • Building models to solve specific problems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Feature engineering using various techniques for the enhancement of data
  • Performing feature selection on original and generated data
  • Using machine learning tools to develop and train models
  • Performing efficacy testing of the models
  • Building automated tools that enable data scientists to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building
  • Performing ad-hoc analysis and presenting results in a clear manner
  • Working with a team to help solve new, never-before-solved challenges across multiple industries


Qualifications

  • Must be a US Citizen
  • Understanding and experience using machine learning techniques and algorithms, including but not limited to: Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, Anomaly Detection, and more
  • Experience with data science languages, such as Python, R, MatLab, etc.
  • Experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, Keras, etc
  • Great communication skills
  • Good applied statistics skills, such as distributions, statistical testing, etc.
  • Good scripting and programming skills, especially Python
  • Experience managing large volumes of data (terabytes or more)
  • Graduate degree (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Neuroscience, Linguistics, Electrical Engineering, Economics, or a related scientific discipline
  • Experience with distributed computing, such as Hadoop, Spark, or an MPP environment a plus
  • Experience with developing application on full stack of HTTP, JSON, REST, React, Java/C#, SQL and no-SQL databases a plus
  • Experience with NLP, Big Data Analytics, and Graphing techniques a plus
Cloudreach
  • Philadelphia, PA

Cloudreach is looking to add a key team member to tackle unique challenges as we grow our software products that focus on optimizing computing performance, cost, and security, as well as enabling software modernization. As a key member of this team, your primary role will be to work directly with the R&D and engineering team as well as the product team. A successful candidate will have several years of engineering technical leadership experience with many of the specific tools listed below and enjoys the challenge of building state-of-the-art automated solutions for infrastructure management and monitoring of large-scale. The position requires deep knowledge of computing performance, including how to measure, model, and predict performance. The candidate must be able to lead the development of performance and cost optimization oriented products, which include developing computational systems that can reliably measure, model, and predict performance. This role requires comprehensive experimentation to ensure that performance models are valid across all scenarios. Lastly, a successful candidate must be able to design intuitive and yet comprehensive user interfaces that enable the user to leverage the deep knowledge computing performance, while the user does not have such knowledge. While this is not a research position, it shares methodologies of isolating specific questions, and developing rigorous solutions to the questions.

On the other hand, while a key differentiator is the ability to develop novel problems and solutions, there is considerable work on more straightforward performance-oriented product development.

What will you do at Cloudreach?

    • Hands-on development using primarily but not limited to Java, Python, SQL, Matlab, Scala, Tensorflow, C/C++, Linux modules, eBPF, or whatever is needed.
    • Lead and mentor a growing group of analytics engineers
    • Explore and help the team explore new methods to gain insights into performance, cost, and applications
    • Work with the product team to explore ideas that maintain a market leadership
    • Work with the entire engineering team to provide overall direction as it relates to performance and application analytics

What do we look for?

    • Strong understanding of computing performance in the context of enterprise and cloud computing
    • Significant experience in developing and implementing computational algorithms
    • Experience with building reliable data acquisition and processing systems
    • Experience in several of the following
      • Comprehensive performance evaluation for computing systems such as GPU, databases, enterprise applications, operating systems, networking, virtualization, and HPC
      • Deep and highly robust system monitoring and time series analysis
      • Anomaly detection
      • Cyber-security
      • Machine learning techniques
      • Code analysis
        • static and dynamic analysis
        • code complexity analysis
      • Natural language processing
        • Corpus generation
        • Named entity detection
        • Ontology generation
        • Text classification

Since Cloudreach focuses on cloud computing, networking, operating systems, enterprise applications, code development, etc., extensive domain knowledge is these or related areas is critical. Successful applicants should be able to read research papers and implement proposed solutions; research experience is helpful, but not required. Consequently, successful applicants will likely have a Masters degree or a Ph.D.

Requirements:

    • Education: Ph.D. prefered or Masters degree in Computer Science or related area.
    • Experience: 8+ years experience in software and performance-oriented analytics development
    • Leadership: Experience leading multiple product development teams in planning, executing and delivering on enterprise software projects
    • Architecture: Strong software architecture background and experience with the ability to mentor team members
    • Experience with one or more of the IaaS providers is a must (AWS, Azure, GCE cloud etc.)
    • Track record of delivering analytics-based products from conception to deployment and customer enablement

What are our cloudy perks?

    • A MacBook Pro and smartphone.
    • Unique cloudy culture -- we work hard and play hard.
    • Uncapped holidays and your birthday off.
    • World-class training and career development opportunities through our own Cloudy University.
    • Centrally-located offices.
    • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday.
    • Office amenities like pool tables and Xbox on the big screen TV.
    • Working with a collaborative, social team, and growing your skills faster than you will anywhere else.
    • Full benefits and 401k match.
    • Kick-off events at cool locations throughout the country.