Axiom Pro is a leading recruiting and outstaffing company. One of our distinguished U.S.-based clients, a provider of trusted life insurance solutions with over 1.6 million policyholders, is committed to long-term financial security and innovation. The organization holds an A (Excellent) rating from AM Best and is focused on driving sustainable growth through data-driven decision-making.

We are currently seeking a highly analytical and results-oriented Senior Data Scientist to join the company’s Marketing Analytics team.

Position Summary:

As a Senior Data Scientist, you will develop and maintain predictive models and perform advanced data analyses that support marketing initiatives and business growth. You will work cross-functionally with marketing, data engineering, and analytics teams to extract insights, drive campaign performance, and forecast business outcomes. This role emphasizes end-to-end model ownership, from data preparation to deployment and monitoring.

Responsibilities

- Build and automate statistical models to predict customer behaviors including purchase propensity, policy lapses, retention, cross-sell/upsell opportunities, and next-best actions

- Use internal and external datasets (including census, third-party, and economic data) to enhance model accuracy and relevance

- Conduct exploratory data analysis, model evaluation, and interpretability analysis

- Measure model performance using appropriate metrics such as precision, recall, and F1 score

- Design and execute A/B tests and experiments to validate modeling assumptions

- Forecast campaign outcomes using predictive models and validate against actuals

- Ensure compliance with privacy laws such as GDPR and CCPA, and apply ethical AI standards

- Collaborate with data engineers to ensure data is accurate, complete, and suitable for modeling

- Deploy machine learning models and monitor performance using cloud-based MLOps tools

- Document methodologies, data sources, and results in a structured and accessible format

- Identify opportunities for new modeling efforts and suggest relevant external data sources

- Support marketing strategy with ad hoc analysis and recommendations

- Drive continuous improvement and experimentation to support business transformation and revenue growth

Required Qualifications:

- Master’s degree in Data Science, Statistics, Mathematics, Economics, or a related field

- 5–7 years of experience in applied data science, including machine learning development

- Proficiency in Python or R for statistical modeling and automation

- Strong SQL skills for data querying and transformation

- Experience with ML platforms and frameworks such as scikit-learn, TensorFlow, PyTorch, DataRobot, or Databricks

- Familiarity with cloud environments (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop)

- Experience with visualization and reporting tools such as Power BI or Tableau

- Skilled in experimental design and marketing campaign analytics

- Strong communication skills and ability to present technical content to non-technical stakeholders

- Attention to detail and ability to manage model documentation and codebase quality

- Strong problem-solving mindset and ability to work independently on high-impact projects

Preferred Qualifications:

- Prior experience in the insurance or financial services sector

- Exposure to Generative AI in predictive modeling applications

- Knowledge of marketing attribution models, media mix modeling, and lifetime value prediction

- Familiarity with version control tools (e.g., Git) and CI/CD pipelines for model deployment

- Understanding of actuarial or risk modeling principles

Mandatory Skills

- Big Data

- Data Analysis

- Data Visualization

- Python

- Statistics

- SQL

- AWS

- Machine Learning

Salary

- Salary from $120,000 up to $175,000 per year

Working Day

- Full Time Job

Working Conditions

- Location: Plymouth, MI

- Employment Type: Full-time, On-site

- FLSA Status: Exempt

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