Data Scientist IV

MediaAlpha•Los Angeles, CA

1d•$168,000 - $222,000

About The Position

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.

Requirements

Master's degree (or foreign equivalent) in Applied Mathematics, Statistics, Business Analytics or in a closely related field, plus 8 years of work experience in data science or in a closely related occupation.
Three (3) years of experience in building and deploying AI models and AI tools in digital media.
Seven (7) years of hands-on experience developing and deploying machine learning models.
Experience leading cross-functional projects and collaborating with tech, engineering, data scientists, and product teams.
Experience deploying impactful code in predictive models, data pipelines, algorithms—to production environments with quantifiable business impact.
Knowledge in applying statistical techniques, specifically, designing tests/experiments and evaluating results to real-world business problems.
Proficient in Python and SQL.
Proficient in analytical skills and ability to synthesize large and disparate data sets.
Experience in search, display, performance, and digital marketing or closely related.
Proficient in R Shiny, Shiny Server, and Airflow.
Experience in real-time bidding in digital media.

Responsibilities

Independently mine MediaAlpha Exchange data to surface quantified revenue- or margin-growth opportunities, documented in written analyses with estimated financial upside.
Prioritize opportunities using ROI calculations and present ranked backlogs for review to business and analytics stakeholders.
Provide weekly written status updates detailing progress, blockers, and next steps; proactively request resources or escalate risks.
Maintain expert-level knowledge of MediaAlpha Exchange functionality, database schema, bidding logic, and platform APIs.
Be a frontline resource for business teams to scope client solutions.
Scope, design, build, validate, deploy and maintain data-science solutions (models, decision systems, dashboards, ETL pipelines) without day-to-day supervisory direction.
Deliver all milestones on the committed timeline in Jira; deadlines at risk of being missed must be accounted for with advance notice, with justifiable tradeoffs due to other business priorities or unexpected issues.
Write production-grade Python and SQL that passes peer-review approval on first review at least 80% of the time. Frequent back and forth or re-designs should be rare (<10% of code submissions).
Own Airflow DAGs and data-pipeline SLAs; resolve issues within four (4) business hours of alert during core hours or within the same calendar day during on-call/off-hours rotations.
Maintain professionalism and punctuality.
Act as the primary analytics liaison for assigned business units, including attending and even driving KPI/metrics reviews.
Translate technical findings into concise business recommendations (deck, memo, or live walkthrough).

Benefits

Annual bonus program
Participation in our Restricted Stock Unit program
100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner
100% Employer paid long term disability, and life insurance
401(k) retirement plan with matching contributions
Open Paid Time Off policy
Birthday day off
11 holidays
Professional development reimbursement
Cell Phone expense reimbursement
Wellness expense reimbursement
Internet expense reimbursement
Subscription to the Calm App
100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver
Dog-friendly offices (LA and AZ)
$300 pet adoption reimbursement