Data Scientist

Required Skills & Qualifications:

• Proven experience as a Data Scientist, Machine Learning Engineer, or similar data-driven role.
• Strong proficiency in programming languages such as Python, R, SQL, and familiarity with data manipulation libraries (e.g., Pandas, NumPy, SciPy).
• Solid understanding of machine learning algorithms (supervised/unsupervised learning, deep learning, etc.) and experience with modeling tools such as scikit-learn, TensorFlow, Keras, or PyTorch.
• Expertise in statistical analysis and methods (e.g., hypothesis testing, regression analysis).
• Experience working with large datasets and using big data technologies (e.g., Hadoop, Spark, AWS, Azure).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Excellent problem-solving skills and a strong analytical mindset.

Desired Skills:

• Experience with cloud platforms (AWS, GCP, or Azure) for deploying machine learning models.
• Familiarity with Natural Language Processing (NLP) and computer vision techniques.
• Experience with data wrangling and working with unstructured data.
• Knowledge of DevOps practices related to data science (e.g., containerization with Docker, CI/CD pipelines for models).
• Understanding of business intelligence tools and how data science can drive business strategy.

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.