We are seeking a **Senior Data Scientist** to join our Commercial Tech team, focusing on Ad Platforms and Privacy.
**Responsibilities**
- Analyze ad delivery data and understand the journey from ad calls to execution
- Identify inefficiencies in ad execution
- Develop a predictive model to recommend optimal ad configurations based on key metrics such as viewability, CTR, and revenue impact
- Collaborate with business and engineering teams to translate data insights into actionable recommendations
- Deliver a Proof of Concept within 3 months showcasing the model's effectiveness
- Integrate machine learning models for optimization and recommendation systems
- Translate complex data insights into business-friendly recommendations
- Work independently to drive research, roadmap, and actual AI/ML adoption in the ad tech area
- Collaborate and communicate effectively with both internal and external stakeholders
- Ensure timely delivery of PoC within specified timelines
**Requirements**:
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or Business
- 3+ years of experience in data science, machine learning, or predictive modeling, ideally in AdTech
- Competency in Python, R, SQL
- Proficiency in data visualization tools like Looker and Tableau
- Understanding of machine learning, predictive algorithms, tools and techniques
- Familiarity with cloud-based data platforms such as AWS, GCP, or Azure
- Strong analytical mindset and attention to detail
- Exceptional communication and interpersonal skills
**Nice to have**
- Experience with privacy-compliant ad targeting and measurement
- Previous experience in Advertising Technology, understanding ad execution workflows
- Knowledge of programmatic advertising and real-time bidding (RTB)




- Experience with using 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.

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