Sr Data Scientist, Machine Learning

Job Description

We are seeking a Senior Data Scientist to design, build, and deploy AI and machine learning solutions that solve real business problems at scale. This is a hands-on individual contributor role with opportunities to lead analytical workstreams and mentor junior team members.

You will collaborate closely with data scientists, data engineers, and business partners to deliver production-ready models and actionable insights.

What You'll Do

• Lead data science use cases and provide guidance to junior data scientists

• Explore, analyze, and prepare data from multiple sources for modeling

• Build and deploy predictive models using statistical, ML, and AI techniques

• Partner with engineering and MLOps teams to move models into production

• Ensure data quality, model accuracy, and consistent reporting

• Communicate insights using data visualization and clear storytelling

• Work cross-functionally to identify new data-driven opportunities

• Contribute to best practices, tools, and standards across the data science team

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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

4+ years of hands-on ML modeling and End-to-end ML delivery

Lead use cases from data exploration and experimental design through modeling and production deployment with Data Engineering/MLOps.

Strong Python skills with solid grounding in algorithms and production-grade ML models.

Advanced data wrangling/ETL, fuzzy matching, regex, distributed computing/parallelism, and data quality checks.

Masters Degree in a quantitative field (Statistics, Computer Science, Engineering, Applied Mathematics, or related). PhD in a quantitative field (Statistics, Computer Science, Engineering, Applied Mathematics, or related) with relevant industry experience