We are looking for a **Lead Data Scientist**to be part of our Commercial Tech team, with a focus on Ad Platforms and Privacy.
**Responsibilities**
- Analyze the flow of ad delivery data from initiation to execution
- Pinpoint inefficiencies within ad performance
- Construct a predictive model for advising on ideal ad settings utilizing key metrics like viewability, CTR, and revenue impact
- Engage with business and engineering teams to convert data analysis into strategies that can be implemented
- Commit to creating and presenting a Proof of Concept in 3 months that demonstrates the model’s efficacy
- Employ machine learning models for optimization and recommendation purposes
- Simplify complex data insights into user-friendly business recommendations
- Independently handle research, roadmap development, and implementation of AI/ML in the ad tech domain
- Maintain effective communication with both internal teams and external partners
- Guarantee the punctual completion of the PoC within agreed timelines
**Requirements**:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or Business
- 5+ years of experience in data science, machine learning, or predictive modeling, ideally in AdTech
- 1+ years in a relevant leadership role
- Competency in Python, R, SQL
- Proficiency in data visualization tools such as Looker and Tableau
- Understanding of machine learning, predictive algorithms, tools, and techniques
- Familiarity with cloud-based data services such as AWS, GCP, or Azure
- Robust analytical abilities and attentiveness to details
- Outstanding skills in communication and interpersonal relations
**Nice to have**
- Experience in privacy-focused ad targeting and metrics
- Prior involvement in Advertising Technology with insights into ad execution workflows




- Knowledge of programmatic advertising and real-time bidding (RTB)
- Experience in deploying HuggingFace models
**We offer**
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Monthly non-taxable amount for the electricity and internet bills
EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

📌 Lead Data Scientist (México)
🏢 Epam Systems
📍 México