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Zobility

Data Scientist

πŸ“
Novi, MI
πŸ§ͺ
Mid-Senior level

General Summary:

  • The Data Scientist utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem solving, and team-centered solutioning for complex problems.
  • This position requires strong attributes for problem solving, data analysis, troubleshooting.
  • Collaborate with dynamic team of engineers, developers, and scientists who research and integrate algorithms to develop solution to address complex data problems and support development.


Essential Job Functions:

  • Participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.
  • Assess project requirements and develop data analysis algorithms.
  • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
  • Responsible for Developing/supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Product Development.
  • Rapidly prototype new ideas and methods to deliver quality code that is testable and concise.
  • Use AI/ML technologies to innovate solution to existing problems for the team.
  • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
  • Fully proficient with common statistical and machine learning techniques and exhibit some knowledge of advanced modeling techniques and their application.
  • Work with Team members to craft an analytic strategy that meets their needs and delivers timely results
  • Integrate relevant internal and external research findings to generate hypotheses and help Team members make informed decisions.
  • Participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.
  • Setting up Experiments, Data acquisition, data processing and report generation with visualization.


Experience:

  • Greater than four (4) years of relevant work experience.
  • Building and deploying machine learning and/or statistical models.
  • Knowledge of multiple quantitative research and analysis approaches and their tradeoffs.
  • Reading/writing/speaking about predictive modeling to stakeholders ranging from Team members to modeling experts.
  • Solid working knowledge and experience with Microsoft Office and other related Business applications (e.g., MS Word, MS Excel, MS Access, MS PowerPoint, Outlook, Internet, etc.).
  • Proficient in programming in C/C++, Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.)


Education:

  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT, or an equivalent combination of education and relevant experience.
  • Must have Mathematics or Statistics background

Key informations

🧳
Full-time
πŸ“…
Posted 16 days ago

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