Gurugram, Haryana, India
Telecommunications
Full-Time
EPAM Systems
Overview
We are seeking a Senior Data Scientist to join our team and drive innovation by leveraging your expertise in statistical data analysis, machine learning, and NLP to create and deliver impactful AI solutions.
As a Senior Data Scientist, you will work on challenging projects that require end-to-end involvement, from data preparation to model deployment, all while working collaboratively with cross-functional teams and delivering production-ready solutions.
Responsibilities
As a Senior Data Scientist, you will work on challenging projects that require end-to-end involvement, from data preparation to model deployment, all while working collaboratively with cross-functional teams and delivering production-ready solutions.
Responsibilities
- Develop, implement, and evaluate AI solutions, including classification, clustering, anomaly detection, and NLP
- Apply advanced statistical techniques and machine learning algorithms to solve complex business problems
- Utilize Python and SQL to write production-level code and perform comprehensive data analysis
- Implement model development workflows, including ML Ops, and feature engineering techniques
- Utilize Azure AI Search and other tools to make data and models accessible to stakeholders
- Collaborate with software development and project management teams, leveraging version control tools like GitLab and project tracking software like Jira
- Optimize data pipelines and model performance for real-world applications
- Communicate technical concepts effectively to both technical and non-technical audiences
- Stay updated on emerging technologies, applying a problem-solving mindset to integrate them into projects
- Ensure adherence to Agile development practices and maintain fluency in UNIX command line operations
- 4+ years of experience in Data Science
- Proficiency in statistical data analysis, machine learning, and NLP with practical applications and limitations
- Expertise in Python programming and SQL, with experience in data analysis libraries and production-level code
- Background in developing AI solutions, including classification, clustering, anomaly detection, or NLP
- Familiarity with ML Ops and feature engineering techniques, with hands-on experience in model workflows
- Flexibility to use tools like Azure AI Search to make models accessible for business use
- Competency in software development methodologies and code versioning tools such as GitLab
- Knowledge of project management tools such as Jira and Agile development practices
- Qualification in working with UNIX command line and problem-solving with innovative technologies
- B2 level of English or higher, with an emphasis on technical communication skills
- Familiarity with Cloud Computing, Big Data tools, and/or containerization technologies
- Proficiency in data visualization tools for clear communication of insights
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