Technology Leader - Data Science in United State

Overview

The Technology Leader - Data Science is a management level role that will drive Prodege’s experimentation, business intelligence reporting, modeling, and machine learning capabilities to power ranking, pricing, and personalization at scale. This role is integral to ensuring that business goals translate into measurable and actionable data science outcomes, delivering models that directly impact revenue growth, user engagement, and overall platform optimization. By combining deep technical expertise with a strong product and business mindset, the Head of Data Science will elevate experimentation rigor, causal inference frameworks, and applied machine learning across the organization—ultimately ensuring Prodege’s data-driven advantage in the marketplace.

Prodege

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

• The ideal candidate will be located in the Southern Ca area and be available to report to the El Segundo Headquarter's office two to three days per week. Prodege is open to visa sponsorship for this role.***
  
  

Primary Objectives

• Experimentation Leadership: Own A/B testing frameworks, uplift modeling, and causal inference methods to rigorously evaluate the true impact of models.
• Applied ML Deployment: Lead the design, development, and productionization of machine learning models for ranking, pricing, and personalization.
• BI Reporting & Insights: Oversee the design, delivery, and continuous improvement of business intelligence reporting and dashboards, ensuring leaders across the company have timely, accurate, and actionable insights to inform strategic and operational decisions.
• Feature Innovation: Guide feature engineering efforts from event-level auction data and user engagement signals to maximize model performance.
• Strategic Translation: Convert business objectives into experimentation plans, model KPIs, and measurable outcomes that drive P&L impact.
• Cross-Functional Collaboration: Partner with Product, Engineering, and Analytics leaders to embed data science into business decision-making.
• Team Development: Lead , mentor, and scale a high-performing data science team, fostering innovation, technical excellence, and business alignment.
  
  

Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties

• Define and oversee experimentation frameworks, ensuring models are rigorously validated against business KPIs.
• Lead development and productionization of machine learning models and BI reporting for ranking, pricing, and personalization.
• Design and oversee the delivery of scalable BI reporting solutions (e.g., dashboards, automated reports) that provide actionable insights to business leaders.
• Ensure BI reporting integrates seamlessly with experimentation and modeling outputs to support executive decision-making, P&L management, and revenue growth initiatives.
• Drive feature engineering innovation from event-level auction and engagement data.
• Partner with Product and Engineering to design systems that enable real-time experimentation and model deployment.
• Establish data science standards, processes, and best practices across experimentation and modeling.
• Translate executive-level business goals into data science roadmaps, measurable KPIs, and experimentation milestones.
• Mentor, coach, and grow data science talent within the organization, ensuring the team remains at the forefront of applied ML.
• Present findings, model performance, and experimentation outcomes to executive leadership and stakeholders.
• Monitor industry trends and emerging technologies in machine learning, personalization, and experimentation to maintain Prodege’s competitive edge.
  
  

Additional Management Responsibilities

• Performance Management: setting and managing goals, on-going coaching, corrective action, annual reviews, rewards/recognition, and team/individual development
• Employee Life Cycle Management: headcount forecasting, job descriptions, recruiting/hiring, termination
• Governance: ensuring compliance to company policy/practice (e.g. attendance, behavior, workplace attire), ensuring compliance to employment law (e.g. time keeping, anti-harassment and diversity)
• Leadership: ensures availability to staff, team building, building rapport with individuals, encouraging strong collaborative relationships between individuals and departments, facilitating a healthy work/life mix, solicits and applies feedback (internal and external to team), self-improvement as a leader/manager of people
• Culture Ambassador: proactively demonstrate and cultivate a culture of cooperative collaboration, strong work ethic, solutions-orientation, quality focus, results-orientation, relaxed/enjoyable atmosphere, team- and individual- celebration, and company/product pride
  
  

What does SUCCESS look like?

Success in this role means Prodege’s machine learning models and experimentation practices consistently deliver measurable impact to the business. The Technology Leader - Data Science will establish a culture of rigorous testing and causal measurement, ensuring models not only ship but drive meaningful revenue and engagement outcomes. The role will build a scalable experimentation infrastructure, strengthen collaboration across Product and Engineering, and elevate the company’s data science capabilities to a strategic advantage in the ad tech and consumer engagement marketplace.

The MUST Haves

• Eight or more years (8+) experience leading applied data science in ranking, pricing, or personalization domains.
• Bachelor of Science degree in Computer Science, Statistics, Mathematics, or related field.
• Deep expertise in machine learning, statistical modeling, BI reporting, causal inference, and experimentation frameworks.
• Strong track record of shipping ML models into production environments, not just prototyping.
• Ability to design and interpret complex experiments, including uplift modeling and causal analysis.
• Advanced knowledge of feature engineering from large-scale event data (e.g., auctions, engagement logs).
• Demonstrated success in translating business goals into data science strategies, KPIs, and measurable outcomes.
• Prior experience in a senior data science leadership role within ad tech, recommendation systems, or user acquisition optimization.
  
  

The Nice To Haves

• Ph.D. or advanced degree in Computer Science, Statistics, Mathematics, or related field.
• Experience working in mobile gaming, UA networks, or performance marketing platforms.
• Familiarity with large-scale data pipelines, real-time bidding systems, and personalization engines.
• Demonstrated ability to influence executive stakeholders and align technical priorities with business strategy.
  
  

Pay Transparency

The anticipated base salary range for this position is $220,000 to $285,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Prodege Benefits

Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year. Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years.

Equal Employment Opportunity Statement

At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.

FCIHO

Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.