Senior Data Scientist Lead

Job Profile:

Job Role:Sr. Data Scientist

Experience: 10+ Years .

1. Contribution to data ai, gen ai platform & product aspects in terms of ability to perform data science analysis and build AI systems

2. Research , Select/Develop, deliver and deploy models for ML/AI use cases

3. Contribute towards defining required AI frameworks to ensure Quality & compliance of AI models and systems

4. Support departmental & organizational Initiatives related to analytics and AI.

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 companys business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives.

Will be responsible for: -

Contribution to data ai, gen ai platform & product aspects in terms of ability to perform data science analysis and build AI systems

• Work 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 , Select/Develop, deliver and deploy models for ML/AI use cases

• Define 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

Contribute towards defining

• Hands 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 departmental & organizational Initiatives related to analytics and AI

• Help 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

B.Tech. in Computer Science/ IT/ Data Science or M tech/ME

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

• 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.

Skills

Special

Functional:

• Excellent 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 techniques

• Data Governance & Ethics

Leadership:

• Strong 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
• Present 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.

1. Note: Please apply who are comfortable for Mumbai(

   Vikhroli

   )

   Location.

2. WFO-5 days Completely.