Data Science Manager -1
Experience: 8+ Years
Job Location : Chennai


The Manager- Data Science will be part of the Group’s Global Advanced Analytics CoE and will play a key role in enabling our Businesses for Insights Driven Operations and Decision making – leveraging cutting edge Analytics tools and techniques.
This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies knowledge of statistics, data mining, and machine learning (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Communicates findings and recommendations to management across different departments. Supports implementation efforts.

Job Responsibilities:

• Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes
• Identify the appropriate modeling technique(s) and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes
• Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions
• Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas.
• Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.
• Develop and deploy Gen AI Solutions
• Design full stack ML solutions in a distributed computing environment -AWS (preferred) and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles.
• Works with business partners to identify and scope new opportunities for machine learning applications for process improvement.
• Works internally and with IT and Enterprise Data Management to define, secure and prepare datasets for statistical modeling.
• Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs.
• Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development.
• Builds programs for running statistical tests on data and for understanding correlation of various attributes.
• Builds hypotheses, identifies research data attributes and determines best approach to address business issues.
• Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives.
• Builds predictive models (e.g., logistic regression, generalized linear models, autoencoders) as appropriate to support business objectives.
• Incorporates findings and provides insights as part of model development and enhancement.
• Prepares testing scenarios and tests model performance.
• Researches and maintains awareness of industry best practices and business strategies.
• Proactively brings in new and innovative ideas and approaches to develop business solutions.
• Other duties as assigned. 

Experience Required:

• Total experience of 12-15 years (relevant Analytics experience at least : 8 years) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred
• Handson experience in statistical and data science techniques
• Knowledge and experience in developing and deploying Gen AI Solution.
• 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.
• 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets
• 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms
• Experience in DL frameworks such as TensorFlow, Keras or PyTorch
• Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage.
• Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS).
• Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly
• Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels)
• Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability.
• Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions.
• Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners.
• Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects
• Excellent Technical Presentation Skills

Education/Experience:

• Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development
• Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 2+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development
• PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 1+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development

Leadership & Soft skills:

• Lead by example on values and culture.
• Open-minded, collaborative and an effective team player.
• Ability to work in a multicultural and diverse team.
• Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does.
• Ability to deal with ambiguity.
• Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff.
• Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.