Data Scientist
$109,000–$136,250 year
Hybrid · Hartford, Connecticut, United States
Job Summary
Data Scientist expands the impact of data science across the firm by designing, developing, delivering, and supporting advanced analytics and machine learning solutions. This role partners with product owners to perform detailed exploratory analysis, translate complex business questions into actionable insights, and deliver predictive models that support key initiatives across Workplace Solutions, including Retirement, Wealth Management, Employee Benefits, and Benefits Administration. Key responsibilities include performing detailed exploratory data analysis to understand data quality, drivers, and business context prior to model development; delivering data science solutions using structured and unstructured data; applying a range of ML techniques (regression, decision trees, neural networks, clustering, time series); partnering with product owners to define hypotheses and align outputs to business needs; communicating technical findings through clear presentations and data visualizations for business and technical audiences; assisting in evaluating data science platforms and technologies; and supporting implementation, monitoring, and continuous improvement of solutions.
Required Qualifications
- Advanced degree (Master’s or Ph.D.) in data science or a quantitative discipline (e.g., statistics, computer science, applied mathematics, engineering), or equivalent experience
- 2+ years of experience developing and delivering data science solutions
- Full proficiency with machine learning and advanced analytics methods
- Strong skills in SQL, Python, data visualization, PySpark, and data wrangling on cloud-based data platforms
- Solid business acumen with the ability to quickly learn and apply knowledge of Workplace Solutions domains (Retirement, Wealth, and Benefits)
- Strong written and verbal communication skills
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