Senior Data Scientist

EPAM Systems


Date: 17 hours ago
City: Toronto, ON
Contract type: Full time
We're looking for a Senior Data Scientist to join our team and lead the development of machine learning models for campaign measurement and audience prediction. This role combines analytical expertise with hands-on development to drive our advertising effective solutions. You will have an opportunity to work at the forefront of retail media advertising technology, to collaborate with an innovative team dedicated to excellence. Our environment fosters growth through challenging projects, provides access to cutting-edge tools and methodologies, and enables you to create solutions that drive measurable business impact in the digital advertising space.

Req.#841791437

Responsibilities


  • Develop and maintain ML models for measuring incremental impact of digital advertising campaigns
  • Build classification and regression models using Google Cloud tools (BigQuery, Vertex AI) and Python libraries (Pandas, NumPy, SciKitLearn)
  • Implement advanced media mix and multi-touch attribution models to optimize spending
  • Design frameworks for campaign measurement using synthetic controls and lift measurement techniques
  • Collaborate on MLOps integration, including CICD pipelines and monitoring systems
  • Perform complex data analysis and communicate findings to diverse stakeholders


Requirements


  • Degree in computer science, statistics or machine learning (Master's degree is preferred)
  • 5+ years of experience in data science within retail/digital media, marketing or advertising
  • Strong proficiency with Python ecosystem (NumPy, Pandas) and SQL
  • Practical expertise with CI/CD tools (Git, GitHub, GitHub Actions)
  • Hands-on background with Google Cloud technologies (BigQuery, Vertex AI, GCS)
  • TensorFlow/PyTorch knowledge highly desirable
  • Google Cloud or AWS certifications a plus


We offer


  • Extended Healthcare with Prescription Drugs, Dental and Vision Insurance, and Healthcare Spending Account (Company Paid)
  • Life, Critical Illness, and/or Accidental Death & Dismemberment Insurance.
  • Employee Assistance Program (Company Paid)
  • Long-Term Disability
  • Registered Retirement Savings Plan (RRSP) with company match
  • Employee Discounts
  • Unlimited access to LinkedIn learning solutions


This posting includes a base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$70 - CA$90. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.

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.

YouTube video player

How to apply

To apply for this job you need to authorize on our website. If you don't have an account yet, please register.

Post a resume