Data Scientist IV

MediaAlpha; Los Angeles (CA); On-site; USD 168,000 - 222,000; Full time

Benefits offered by this job

Annual bonus program

Health, dental, and vision insurance

401(k) with matching contributions

Open PTO policy

Parental leave

Pet adoption reimbursement

Job summary

MediaAlpha is a data-driven customer acquisition company with a focus on insurance and other high‑consideration markets. This role involves owning data-science projects, building predictive models, and delivering actionable business insights.

You will write production-grade Python and SQL, maintain data pipelines, and collaborate across tech, analytics, and product teams to drive measurable business impact.

Qualifications

• Master’s degree in Applied Mathematics, Statistics, Business Analytics, or closely related field.
• Seven years of hands-on experience developing and deploying machine learning models.
• Three years of experience building and deploying AI models and AI tools in digital media.

Responsibilities

• Mine MediaAlpha exchange data to surface quantified revenue or margin-growth opportunities and document analyses.
• Prioritize opportunities using ROI calculations and present ranked backlogs to stakeholders.
• Provide weekly written status updates detailing progress, blockers, and next steps.

Skills

Python

SQL

Machine Learning

AI models

Data analysis

Cross-functional collaboration

Education

Master’s degree in Applied Mathematics, Statistics, Business Analytics, or related field

Tools

R Shiny

Shiny Server

Airflow

Job description

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.

Responsibilities

• Mine MediaAlpha exchange data to surface quantified revenue‑or margin‑growth opportunities, document 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 escape 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 trade‑offs due to other business priorities or unexpected issues.
• Write production‑grade Python and SQL that passes peer‑review approval at least 80% of the time; frequent back‑and‑forth or redesigns should be rare (<10% of code submissions).
• Own Airflow DAGs and data‑pipeline SLAs; resolve issues within four 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 driving KPI / metrics reviews.
• Translate technical findings into concise business recommendations (deck, memo, or live walkthrough).

Qualifications

• Master’s degree (or foreign equivalent) in Applied Mathematics, Statistics, Business Analytics, or a closely related field, plus 8 years of relevant experience in data science.

Requirements

• Three years of experience building and deploying AI models and AI tools in digital media.
• Seven 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, and algorithms to production environments with quantifiable business impact.
• Knowledge of applying statistical techniques, specifically designing tests/experiments and evaluating results for 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 fields.
• Proficient in R Shiny, Shiny Server, and Airflow.

Salary Offered

$168,000 – $222,000 per year

Benefits

• Annual bonus program and 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 with a birthday day off and 11 holidays.
• Cell phone, wellness, and internet expense reimbursement, and a subscription to the Calm app.
• 100% fully paid parental leave: up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver.
• Dog‑friendly offices (Los Angeles and Arizona) with a $300 pet adoption reimbursement.

Qualified applicants should send resume to [e-mail], REF: QT-26.

Diversity, Equity, and Inclusion

MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change.

MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at [e-mail] or (213) 316‑6256.