Senior Data Scientist
3 days ago
Godrej Enterprises Group comprises Godrej & Boyce and its subsidiaries, having a significant presence across various consumer and industrial businesses. These businesses span Aerospace, Aviation, Defence, Engines and Motors, Energy, Locks & Security Solutions, Building Materials, Green Building Consulting, Construction and EPC Services, Heavy Engineering, Intralogistics, Tooling, Healthcare Equipment, Consumer Durables, Furniture, Interior Design, Architectural Fittings, IT solutions, and Vending Machines.
Key Responsibilities- Contribution to data ai, gen ai platform & product aspects in terms of ability to perform data science analysis and build AI systems
- Research , Select/Develop, deliver and deploy models for ML/AI use cases
- Contribute towards defining required AI frameworks to ensure Quality & compliance of AI models and systems
- Support departmental & organizational Initiatives related to analytics and AI
The Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve company's business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives.
Job Description Contribution to Data & AI Platform and ProductsWork within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects
Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem.
Research, design & development of High Quality Data, AI and analytical systemsDefine exploratory data analysis (EDA) keeping in line with problem necessities
Ensure the development of quality procedures and standards products and supervising tests.
Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development
Provide and help deliver the SolutionsHands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems.
Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases.
Conduct diagnostic across existing data and make future state recommendations in regular intervals.
Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation.
Monitor performance of existing solutions across use cases to identify and drive optimization.
Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code.
Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services.
Support Projects and InitiativesHelp in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects
Identify data from legacy systems, to build new solutions based on requirement
Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning.
Requisite QualificationB.Tech./M Tech in Computer Science/ IT/ Data Science
Preferred PhD or minimum M Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD
Good Data Science or Data Engineer Certification ( minimum 1 year programs etc)
Requisite ExperienceEssential
Minimum 10 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models
3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops
Should be able to present portfolio of data science work or use cases
Preferred
Sound understanding of Data analysis to support the preparatory work
Experience working in the agile Environment.
Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.)
Experience/ Exposure with Cloud data services like AWS or Azure
Special Skills Required FunctionalExcellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc.
Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL
Expertise in developing ML models and deployment of the same
Hands on working on developing NLP models using transformers and computer vision.
Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services.
Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD
SQL Server experience required
Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniquesData Governance & Ethics
LeadershipStrong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements
Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed
Planning & Organizing
Presentation of complex data analysis in consumable way and Engage the stakeholders
Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members
Team player
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