Data Scientist (Prefill)

Typical task breakdown:
- Collect and negotiate requirements for condition monitoring models.
- Access, analyze, cleanse, preprocess data; cultivate ground truth data sets as needed.
- Explore and downselect modeling approaches.
- Develop, backtest and validate models in python, in both on-prem and AWS environments.
- Compute model performance metrics.
- Participate in daily standups and sprint reveals in Scrum/Agile environment.
- Explain and defend modeling decisions and performance results.
- Support model in production, resolve incident tickets.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Technical Skills
(Required)
- Excellent python skills (numpy/pandas/matplotlib/sklearn), version control (git), SQL and database APIs (cx_oracle, pymysql, sqlalchemy), cloud deployment experience (AWS, containerization) and familiarity with AWS services (S3/EC2/SageMaker).
- Comfortable and effective working in an Agile/Scrum environment.
(Desired)
- AWS Certified Cloud Practitioner (or higher) - desired
- Machine Learning model development experience, familiarity with engineering/IOT systems, telematics/timeseries data analysis, and multiprocessing frameworks.
Soft Skills
(Required)
- Excellent communication skills.
- Critical thinking and independent problem resolution.
- Ability to work both independently and on a team: collaborates and compromises effectively.