We are seeking a Senior Data Scientist with proficiency in classical Machine Learning and practical production experience in at least one of the following areas: NLP, Time Series, MLE/MLOps (Machine Learning Engineering/Operationalization), or Recommendation Systems.

This role provides an opportunity to lead projects, mentor junior colleagues, and tackle diverse, high-impact challenges. You will work directly with internal teams, client executives, vertical owners, and technical teams. If you are ready to embrace new challenges, we welcome your application to join our dynamic team.

Responsibilities

Lead the assessment, design, development, and deployment of end-to-end ML solutions
Collaborate with internal teams and clients to define and resolve business problems using data and AI-driven solutions
Own the model lifecycle, spanning research, experimentation, and production monitoring
Mentor junior team members and promote coding and ML workflow best practices
Maintain up-to-date knowledge of advancements in Machine Learning and AI

Requirements

Minimum of 5 years’ production experience in Data Science or Machine Learning
Proficiency in the Python ecosystem and data science libraries such as Pandas, scikit-learn, and NumPy
Strong SQL skills with experience in managing large and complex datasets
Expertise in at least one ML domain, including NLP, CV, Time Series, or Recommenders
Background in working with Databricks, including Notebooks, MLflow, and data processing via Apache Spark
Capability to utilize Deep Learning frameworks, such as PyTorch or TensorFlow
Familiarity with Docker, Kubernetes, and model-serving strategies
Background in leveraging cloud platforms like AWS, GCP, or Azure
Strong communication and leadership skills
B2+ English proficiency, both verbal and written
Knowledge of MLOps tools and methodologies

We offer

Opportunity to Engineer your Future and to drive the world’s digital transformation with top industry clients
Personal development program that will allow you to be valued for your strengths
Wide range of professional trainings and workshops
Being part of a collaborative, fast-growing, and innovative design team
Established and accelerated growth toward different career paths, competencies, and roles
Broad projects variety and possible mobility between projects over the time
Collaboration in a multicultural environment and exchange of best practices with colleagues around the world
Varied social benefits, Sports, Transportation and Health programs
Work-life balance and flexible schedule, team buildings and sport opportunities
Modern office/collaboration spaces (incl. new Infinity Tower business center, Sofia)
Hybrid By Design - we provide you with the best productivity options from the 2 worlds. Meet, socialize and enjoy F2F time with your colleagues, while working from the modern EPAM's office for a few days per week and benefit from the EPAM's virtual working environment - making you able to be productive and work from remote for the rest of the week