Data Scientist (Analyst/Associate/Sr. Associate level) for a Bigdata & Analytics organisation

One of our esteemed clients- An Indian Multinational conglomerate company, incubated as a division of this large Group incepted in April 2015, offers multi-sectoral advanced analytics and data engineering solutions using sophisticated predictive analytics and machine learning algorithms is looking for Data Scientists (Analyst/Associate/Sr. Associate level) to be based in Mumbai or Bangalore.

Job Description

- 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

- Time Series Modelling

- Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes

- Clustering, K-Means, Apriopri

- Ensemble Models - Random Forest, Boosting, Bagging

- 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:

- 1+ to 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

- Excellent written and verbal communication skills for coordinating across teams

Education qualification:

- Bachelors/ Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)