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