DATA SCIENTIST

TATA INDUSTRIES LIMITED-TATA INSIGHTS AND QUANTS DIVISON is looking for DATA SCIENTIST to join our dynamic team and embark on a rewarding career journey

• The incumbent will be part of the Predictive Analytics, Digital Analytics, Data Sciences, Advanced Visualization, Insights & Experimentation team and will report to the Manager/Senior Manager
• He/she will be an individual contributor working on multiple data sciences, advanced visualization and data management initiatives across multiple companies and industries leveraging traditional and big data
• The incumbent will have the unique opportunity to witness the application of analytics across multiple industry verticals
• Close partnership with business and the senior leadership of multiple Tata Companies will enable a clear understanding of the business perspectives and the application of analytics for solving real business problems

Key Responsibilities:

• Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions
• Assess accuracy of new data sources and data gathering techniques
• Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution
• Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms
• Apply advanced Machine Learning Algorithms and Statistics:
• o Regression, Simulation, Scenario Analysis
• o Time Series Modelling
• o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes
• o Clustering, K-Means
• o Ensemble Models - Random Forest, Boosting, Bagging
• o Neural Networks
• Lead and manage Proof of Concepts and demonstrate the outcomes quickly
• Document use cases, solutions and recommendations
• Work analytically in a problem-solving environment
• Work in a fast-paced agile development environment
• Coordinate with different functional teams to implement models and monitor outcomes
• Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams
• Help program and project managers in the design, planning and governance of implementing Data Science solutions

Experience and Skills:

• 2-7 years of professional working experience in Analytics
• Experience in Retail, Financial Services and Manufacturing
• Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets
• Experience with distributed data/ computing tools: Hadoop, Hive, Spark, Python
• Experience with SQL
• Experience visualizing/ presenting data for stakeholders using matplot, ggplot or Excel or Tableau