Senior Data Scientist
We are looking for a Senior Data Scientist to deliver impactful AI solutions using statistics, machine learning, and NLP across real-world constraints. You will own work end-to-end from data prep through deployment, partnering with cross-functional teams to ship scalable outcomes.
Responsibilities
- Deliver AI solutions including classification, clustering, anomaly detection, and NLP
- Apply statistical methods and machine learning algorithms to solve complex problems
- Write production-ready code and conduct data analysis using Python and SQL
- Design model development workflows and implement feature engineering methods
- Leverage Azure AI Search to improve business access to data and models
- Collaborate with developers and project managers while using GitLab and Jira
- Enhance data pipelines and optimize model performance for real-world use cases
- Communicate technical concepts clearly to audiences with different levels of expertise
- Apply emerging technologies to project work and demonstrate strong problem-solving skills
- Contribute to Agile workflows and handle UNIX command line tasks as needed
Requirements
- Proven track record with 5+ years of professional experience in Data Science
- Deep understanding of statistical data analysis, machine learning, and NLP with practical trade-offs in mind
- Hands-on experience with Python programming and SQL, including data analysis libraries used in practice
- Solid background in AI solution development such as classification, clustering, or NLP
- Working knowledge of ML Ops and feature engineering approaches for model workflows
- Practical ability to use Azure AI Search to deliver business-oriented model access
- Strong familiarity with software development methodologies and version control tools like GitLab
- Experience with project tracking tools like Jira and Agile workflows
- Comfort with UNIX command line usage and applying innovative technology solutions
- B2 level of English (Upper-Intermediate) or higher with strong technical communication ability
Nice to have
- Familiarity with Cloud Computing, Big Data tools, and containerization solutions
- Ability to use data visualization tools to present insights clearly
Benefits
Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
About the Company
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