PRIMARY RESPONSIBILITIES

Understand Business problems and KPIs by holding discussions with relevant customer stakeholders

Prescribe the right data science approach to solve customers Business problems

Identify the different data sources needed for project execution including both internal and external

data

Ensure proper DQ checks are done and the data is well understood by the Team

Document DQ related issues and barriers and take it up with Customer stakeholders

Generate hypothesis for performing various Exploratory analysis and lead the effort

Storyboard the findings in data and explain the Business value convincingly to customers

Drive analytical modeling using a variety of learning algorithms and ability to compare model outputs

without Bias

Demonstrate Business value of Analytical models and ensure they are deployed in Production

Prescribe the right Data technologies to use in Production and lead the Data pipelining effort for

production

Orchestrate Data and ML solutions using Cloud services





Employ CI/CD practices in Model deployment and produce a state-of-art model deployment that can

be Traceable

Be the anchor for Customer calls and ensure customer communication is effective

Ensure that right coding guidelines and processes are followed by the Team

Institutionalize good Data Science practices in the Team

Ensure proper documentation via good project management tools like Confluence, JIRA etc.

Author Technical blogs both internally and externally and evangelize the Teams efforts

EXPERIENCE

BS/MS in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or

computational field. Advanced degrees preferred

Should know what model to apply and in what situation to apply (know advantages and dis

advantages of ML /DL techniques)

Proven ability to perform in-depth analysis, compile and interpret results

Demonstrate proficiency with various approaches in regression, classification, and

cluster analysis

Valuable understandi

📌 Manager (Chennai)
🏢 Value1
📍 Chennai