Data Scientist
2 months ago
Note: Accepting only US Citizens and GC holders
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
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