Data Scientist

• 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.

• 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.

• 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
• 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.)

Last updated on Jan 31, 2023