Data Scientist IV

Responsibilities

REVENUE-IMPACT ANALYTICS 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. END-TO-END OWNERSHIP 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-TODAY 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. TECHNICAL ARCHITECTURE & CODE QUALITY 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. CROSS-FUNCTIONAL COLLABORATION, COMMUNICATION,

ACCOUNTABILITY 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).

Qualifications

• THIS POSITION REQUIRES A 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.

Requirements

• 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.

Salary Offered: $168,000 - $222,000 per yearBenefits:

As a valued member of our team, you will also have access to an array of top-notch benefits, including:

• 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 to help you plan for your future
• Open Paid Time Off policy with a birthday day off and 11 holidays
• Professional development reimbursement
• Cell Phone, Wellness, and Internet expense reimbursement, along with a 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) along with a $300 pet adoption reimbursement

Qualified applicants should send resume to: kimberly@mediaalpha.com, REF: QT-26