Chief Data Scientist @ Msr Cosmos It Llp

Job Description

Should have 15 years hands-on experience in architecting, constructing and managing data (PB scale) on-prem or on-cloud. Should be able to Consult on AI/ML Solutions with detailed road maps and architecture including the tech stack and pricing. Should have at least 5 years on data science related algorithms and implementation of analytics solutions in predictive analytics, text. analytics and image analytics, Generative AI added advantage. Should have 5-10 years of experience in leading a team of Data Architecture, Data & Analytics, and project teams to translate business requirements that document data solution architecture Strong knowledge on all Azure Services primarily Data lake, ADF pipelines, Data Bricks, Azure Functions, Azure SQL, Synapse, Azure Data Explorer. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward-looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Previous Experience on OLAP, OLTP, RDBMS, SQL, ETL. Technical Role and Responsibilities Demonstrated experience in enterprise data management technology and strategies, well-versed with cloud options for Analytics Platforms and data storage. Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like Microsoft Azure, or AWS. Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Education Required to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes Preferred to have Masters in Data Science/Analytics/Computer Science from premier institutes

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Chief Data Scientist

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Keyskills:   Data Science ML Predictive Analytics Text Analytics OLAP OLTP RDBMS SQL ETL Statistical Modeling Machine Learning Artificial Intelligence Spark Regression Tableau Power BI AI Image Analytics Generative AI Azure Services Data Lake ADF Pipelines Data Bricks Azure Functions Azure SQL Synapse Azure Data Explorer Python Programming ETL Practices Big Data Technologies Support Vector Machines Regularization Boosting Random Forests Ensemble Methods