Responsibilities:

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis (EDA) to uncover insights, trends, and patterns.
• Develop, implement, and evaluate machine learning models for prediction and classification tasks.
• Collaborate with cross-functional teams, including product, engineering, and business, to translate business requirements into data solutions.
• Create and deploy data pipelines for efficient data processing and analysis.
• Communicate findings clearly through data visualizations and reports to both technical and non-technical stakeholders.
• Continuously evaluate and refine models to improve accuracy and efficiency.
• Stay current with industry trends and research in data science and machine learning.

Requirements:

• Bachelors, Master’s, or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proven experience as a Data Scientist or in a similar role.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical methods and algorithms (e.g., regression, classification, clustering).
• Proficient in data manipulation and analysis using libraries like pandas, NumPy, and others.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Excellent problem-solving skills and the ability to think critically and analytically.
• Strong communication skills and the ability to present complex data in an understandable way.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of deep learning and neural networks.
• Previous experience working in [industry relevant to the company, such as finance, healthcare, e-commerce].

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package including health insurance, retirement plans, and paid time off.
• Opportunities for professional development and career growth.
• Collaborative and inclusive work environment.

About the company

We e a community of 32,000+ Hexawarians dedicated to one singular purpose: creating smiles through great people and technology. With a presence in 54 offices across 28 countries, we enable enterprises worldwide to embark on their digital transformation journey with scale and speed.

As an employer of choice for over three decades, we e more than just a workplace. We put people at the center of everything we do. Our diverse and inclusive work environment, paired with dynamic learning and development programs, empowers our teams to innovate, collaborate, and drive meaningful change. We’re driven by our shared vision of becoming the world’s most loved digital transformation partner—a trusted ally in shaping a brighter tomorrow. Visit www.hexaware.com to learn more about how we’re transforming lives and businesses globally.