#R2522315_Wayne
causal inference.
Collaborate across business and technology teams to scope projects, identify opportunities, and deliver actionable insights.
Contribute to AI and automation-related initiatives, helping evaluate and implement GenAI and workflow solutions.
Support scalable data solutions using modern cloud tools and APIs, and help maintain analytical and data science codebases.
Education & Experience
Education
Bachelor's degree in Statistics, Computer Science, Mathematics, or a related discipline.
Master's degree in Statistics, Computer Science, Mathematics, or a related discipline.
Experience
Minimum 4 years of hands-on experience in data science or a related field.
Preferred 6+ years of hands-on experience in data science or a related field.
Required Skills
Strong foundation in statistical modeling and machine learning, including regression, time series forecasting, tree-based algorithms, optimization, and causal analysis. You should be comfortable applying the right methods to the right problems.
Strong Python and SQL. Familiarity with R is a plus, especially for supporting legacy code.
Understanding of the Microsoft Copilot ecosystem; including Copilot Studio, Azure Foundry, and prompting best practices. Experience building or configuring Copilot agents is a huge plus.
Experience working with Snowflake or a similar cloud data platform.
Ability to work with APIs, write modular and reproducible code, and support basic data engineering tasks (e.g., pipeline design, version control).
Preferred Qualifications
Familiarity with robotic process automation tools such as UiPath, Power Automate, or similar platforms.
Awareness of workflow automation tools (e.g., n8n, Apache Airflow, etc) and how they integrate with predictive models or LLMs.
Understanding of how automation, GenAI, and decision systems can be orchestrated to create agentic or semi-autonomous solutions.
Exposure to MLOps or DevOps practices such as CI/CD pipelines, model versioning, or containerization.
General understanding of Salesforce and its role in enterprise data ecosystems.
Additional Qualities We Value
Strong communication skills with the ability to translate technical work into clear, business-relevant insights.
Ability to balance hands-on technical development with broader strategic thinking.
Curiosity about emerging technologies and a pragmatic approach to applying them in real business contexts.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$120,000 - $150,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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