Lead Data Scientist

Hybrid Schedule: In-office Tuesdays/Wednesdays

We are seeking a dynamic and experienced Full-Stack Data Scientist to join our Data Science team. This role will support multiple business units by delivering top-tier analytical insights aligned with our strategic goals. As an individual contributor, you will drive the development and implementation of analytical components within our technology platform. You will collaborate closely with our engineering team to design and integrate sophisticated algorithms and features and streamline reporting for key performance indicators (KPIs) critical to our strategic initiatives.

Responsibilities

• Provide analytical expertise to cross-functional projects, addressing new challenges and uncovering opportunities.
• Optimize revenue and profitability by improving algorithms and deploying machine learning models to production. 
• Master the MediaAlpha platform and collaborate with engineering to enhance our platform’s analytical capabilities.

Preferred Qualifications

• Experience writing production-grade Python code following software engineering best practices (modular design, version control, testing, and code review)
• Experience with search, display, performance, and/or digital marketing
• Experience with Airflow

Requirements

• 8+ years of work experience in a Data Analyst/Scientist or related role
• Proven experience leading cross-functional projects and working cross collaboratively with tech/engineering teams
• Demonstrated success deploying impactful code (e.g., predictive models, date pipelines, dashboards, automated reports) to production environments, ensuring scalability, performance, and reliability
• Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results)
• Experience in creating executive-level presentations
• Proven track record of training and mentoring analysts
• Advanced in Python and SQL
• Exceptional analytical skills and ability to synthesize large and disparate data sets
• Capacity to think critically and creatively, uncover problems, and propose solutions
• Excellent written and verbal communication skills
• Self-starter who takes initiative on all projects and strives to build and improve upon existing processes
• Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience

Compensation & Benefits

We are excited to offer a competitive base pay range of $116,000 to $216,000 per year for this position based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including:

• An annual discretionary 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