Senior Data Science Consultant
7 months ago
**ABOUT THE ROLE**:
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?
RESPONSIBILITIES
- 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
- Analyze large datasets to identify trends, patterns and actionable insights
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- 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
- 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
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
- 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 potential
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