Our Client is hiring Data Scientist for Vikhroli Mumbai Location

Job Profile

KRA

We need very good Experience statistically of Data Analysis

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

Job Description: -

Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/AI/Gen AI model 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.

Will be responsible for: -

Contribution to Data & AI Platform and Products

- 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, design & development of High Quality Data, AI and analytical systems

- 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 Public data analysis , data science & AI development

Provide and help deliver the Solutions

- 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 diagnostics 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 analyseNLP, 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 Initiatives

- 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 Qualification

Essential 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)

RequisiteExperience Essential

- Minimum 10 Yrs with experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models

Public

- 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 analysisto 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 dataservices like AWS or Azure

Skills Required

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