Tata Elxsi offers comprehensive services in Media and Communications, including research, strategy, design, software development, validation, and deployment. With global presence and deep expertise, we specialize in 5G services, Edge computing, and connectivity solutions

Key Responsibilities:

• Conduct thorough data exploration, analysis, and preprocessing to ensure data integrity
• Develop and apply data science methodologies on large-scale structured and unstructured datasets
• Utilize predictive analytics, time series forecasting, and statistical models to support business decisions
• Perform feature engineering and selection to enhance model performance
• Train, evaluate, and optimize machine learning and statistical models
• Deploy models in production environments ensuring scalability and robustness
• Monitor model health, detect drift, and manage retraining or refinement
• Collaborate with cross-functional teams for seamless integration of data solutions into business systems
• Mentor junior data science and engineering team members
• Maintain detailed documentation of data workflows, models, and analytical processes
• Stay abreast of latest data science advancements and best practices

Key Performance Indicators (KPIs):

• Timely deployment of data science models into production
• Improved accuracy, precision, recall, and other relevant model metrics
• Data-driven business decision-making enabled by advanced analytics
• Effective detection and mitigation of model drift
• Strong collaboration across teams
• Successful mentorship and growth of junior team members

Qualifications & Skills:

Must Have:

• 5+ years of experience in data science and engineering
• Expertise in data science techniques: statistical modeling, analytics, and machine learning
• Proficient with Python, R, or equivalent programming languages
• Experience with data science libraries such as NumPy, pandas, and scikit-learn
• Skilled in working with large datasets, data wrangling, and preprocessing
• Hands-on experience with big data technologies like Hadoop, Spark
• Cloud platform expertise (AWS, GCP, Azure)
• Ability to lead projects independently from inception through deployment

Preferred:

• MSc or PhD in Data Science, Computer Science, or related field