Manager - Data Science (work for Women on break- Minimum 1yr break is mandatory)

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 Good understanding of applied statistics, such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences. Demonstrate proficiency in at least one Deep learning technologies Demonstrated Experience in at least in one of the following NLP/computer vision/operations research/data mining/ML/AI Must have experience ML models in R/ Python Demonstrable strength in programming in Python/R/Scala Should have good experience in Object oriente technologies and Design Experience with one or more data visualization tool / library such as Tableau, R Shiny, Seaborn, etc Expertise in SQL programming languages and familiarity with Hive, Pig Excellent quantitative skills and the ability to tell a story using data Strong communication and presentation skills Ability to initiate and drive projects from conception to completion with minimal guidance Passionate about turning data into actionable…