Are you passionate about Data Science? Do you enjoy working with both technical and business stakeholders to translate vision and designs into sustainable, customer-focused solutions?

　　Can you communicate efficiently, and influence quicker deliveries? If yes, we have new position for a Senior Data Scientist. The successful candidate will be a key player in driving the development and implementation of advanced pricing and marketing optimization models. The role involves leveraging deep expertise in Bayesian statistics, causal inference and econometric methods, as well as proficiency in Python, to deliver impactful insights and solutions in the CPG (Consumer Packaged Goods) domain.

　　WHAT YOU’LL DO

　　Model Development and Implementation :Design and build sophisticated pricing and marketing optimization models using Bayesian, causal inference, and econometric approaches. Develop optimization models and employ Monte Carlo simulations for robust analysis. Lead A/B testing initiatives for accurate measurement and validation of models

　　Data Analysis and Insight Generation: Analyze large datasets to identify trends, patterns, and actionable insights. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions

　　Model Production and Management: Proficiently use Python for model development and ensure models are production-ready. Manage the end-to-end process of taking models to production, ensuring scalability and reliability. Utilize Azure, Databricks, MLFlow, Airflow, and Plotly Dash for efficient model deployment and visualization

　　Industry-Specific Expertise: Apply domain knowledge in CPG pricing and promotion optimization to enhance model accuracy and relevance

　　Team Collaboration and Leadership: Work closely with other data scientists, engineers, and business stakeholders. Mentor junior team members and contribute to the team's knowledge sharing

　　REQUIREMENTS

　　Master’s degree or higher in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics)

　　Minimum of 5 years of experience in a data science role with a focus on pricing and marketing optimization

　　Proven expertise in Bayesian, causal inference and econometric methods

　　Strong proficiency in Python and experience in taking models to production

　　Experience with cloud computing platforms, preferably Azure and tools such as Databricks, MLFlow, Airflow and Plotly Dash

　　NICE TO HAVE

　　PhD in a relevant field

　　Prior experience in the CPG industry, specifically in pricing and promotion optimization

　　Demonstrated ability to lead projects and mentor team members

　　Excellent analytical and problem-solving skills

　　Strong communication and collaboration abilities

　　Ability to work in a fast-paced, dynamic environment

　　WE OFFER

　　We offer a range of benefits including

　　A competitive group pension plan, life assurance and income protection

　　Private medical insurance, private dental care and critical illness cover

　　Cycle scheme Tech scheme and season ticket loan

　　Employee assistance program

　　Unlimited access to LinkedIn learning solutions

　　EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)

　　Various perks such as Gym discount, Friday lunch, on-site massage and regular social events

　　Some of these benefits may be available only after you have passed your probationary period

　　ABOUT EPAM

　　EPAM is a leading global 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 potentialEPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

　　At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.