Sr Marketing Data Scientist
Listed on 2026-09-20
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
We are driven to do more. More for our customers and the financial professionals who offer our products. If you are driven to do more and love the challenge of pursuing more, Athene is your kind of company. You will find we offer more than the basics to create an inclusive and dynamic work environment at our various locations.
PurposeAthene is seeking an innovative data science professional to join our marketing analytics team. This role will support Athene’s industry-leading growth path by managing a portfolio of predictive models that power our marketing strategy at scale.
Accountabilities- Responsible for the delivery of the complete life cycle for marketing analytics and modeling projects, including the development, validation, and recalibration of statistical and machine learning models.
- Oversee the collection, management, and enhancement of internal & external data sources to support analysis and modeling initiatives.
- Develop & maintain propensity to sell, cross-sell & up-sell, churn prediction, and marketing attribution models in support of strategic initiatives.
- Establish MLOps framework, including model training, versioning, governance, monitoring, and lifecycle management.
- Identify and implement improvements to analytics workflows; quickly and responsibly adapting to new technologies and AI tools.
- Communicate clear, data-driven insights & recommendations for non-technical audiences and cross-functional decision-makers.
- Proactively manage strategic priorities to deliver solutions on time and within requirements.
- 5+ years of relevant experience building statistical analyses and predictive models.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, or Economics); advanced degree preferred.
- Strong proficiency using Python and/or R for data science applications.
- Adept in SQL for querying and joining large, complex datasets.
- Proven experience building and validating supervised and unsupervised models (regression, classification, clustering).
- Experience with data visualization tools, such as Tableau or Power BI.
- Familiarity with cloud-based data environments.
- AWS preferred, including S3, Athena, and Sage Maker services.
- Comfort leveraging generative AI tools (e.g., ChatGPT, Claude, Copilot) to augment or accelerate workflows.
- Excellent critical thinking, problem-solving, and decision-making skills.
Drive. Discipline. Confidence. Focus. Commitment.
Company Culture and InclusionAthene is a Military Friendly Employer!
Athene is committed to inclusion and is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, veteran status or any other status protected by federal, state or local law.
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