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Athene

Sr Marketing Data Scientist

  • Seen live on Athene's site yesterday
  • Senior
Pay
Not stated
Location
West Des Moines, Iowa
Open for
17+ days
First seen
Oct 18, 2026
Apply on Athene's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Already up when Ghostless started watching Athene
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Athene, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

5+ years of experience
“5+ years of relevant experience building statistical analyses and predictive models.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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.

Purpose

Athene 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.

Qualifications and Experience

  • 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 SageMaker 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. Learn more about working at Athene .

Athene is a Military Friendly Employer! Learn more about how we support our Veterans .

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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