Job Description

Data Scientist

WorkMode :Hybrid

Work Location : Chennai / Hyderabad /

Work Timing : 2 PM to 11 PM

Primary : Data Scientist

We are seeking a skilled Data Scientist with strong expertise in Python programming and Amazon SageMaker to join our data team. The ideal candidate will have a solid foundation in machine learning, data analysis, and cloud-based model deployment. You will work closely with cross-functional teams to build, deploy, and optimize predictive models and data-driven solutions at scale.

Bachelors or Master's degree in Computer Science, Data Science, Statistics, or a related field.

12+ years of experience in data science or machine learning roles.

Proficiency in Python and popular ML libraries (e.g., scikit-learn, pandas, NumPy).

Hands-on experience with Amazon SageMaker for model training, tuning, and deployment.

Strong understanding of supervised and unsupervised learning techniques.

Experience working with large datasets and cloud platforms (AWS preferred).

Excellent problem-solving and communication skills.

Experience with AWS services beyond SageMaker (e.g., S3, Lambda, Step Functions).

Familiarity with deep learning frameworks like TensorFlow or PyTorch.

Exposure to MLOps practices and tools (e.g., CI/CD for ML, MLflow, Kubeflow).

Knowledge of version control (e.g., Git) and agile development practices.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.