Senior / Lead Data Scientist

EPAM Systems
Posted on
EPAM Systems logo

Experience
5 - 10 yrs
Salary (CTC)
2,000,000 - 3,500,000
Job Location
Chennai, India
Vacancy
1
Designation
Senior Data Scientist Lead
Job Type
ONSITE

Job Description

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

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

Requirements

5+ 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

Nice to have

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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