Drive the creation and implementation of best practices for statistical data modelling, analysis, and machine learning; data exploration and reporting tools; and processes that allow data team to work efficiently. - Significant experience managing, mentoring, and coaching teams of data scientists and analysts - You will have statistical, mathematical, predictive modelling as well as business strategy skills to build the algorithms - The ability to filter complex and seemingly arcane analytics into clear, accessible, actionable insight - Experience in finding patterns in data and creating statistical models, data exploration, data visualization and data mining - Define the overarching data strategy and vision for data pipeline, data products - Experience of overseeing Big Data projects: managing risks and data security - Experience of leading data science, data discovery and machine learning projects The Successful Applicant - A PhD /MTech in a quantitative discipline such as computer science, statistics, physics or mathematics from Tier I Colleges is a must. MBA is a plus - 15+ years of hands on experience in machine learning algorithms - Prior experience in managing teams - Excellent interpersonal and stakeholder management skills - Excellent communication skills, and ability to work across multiple teams and levels within the organisation - Understanding of good software development practices Technical Knowledge - Analytics: SQL, jupyter/ipython notebooks, re.dash - Modelling: scikit-learn, stats-models, pymc3, tensor-flow - Data Engineering: python, SQL, Spark, Scala, Docker, AWS - Data Warehouse: AWS Redshift - Dashboards: D3.js, bokeh, re.dash, Tableau Salary Offered : 25-30 LPA

Gurgaon/Gurugram

Head - Data Science - IT 

Head - Data Science - IT  ,Job Description for Head - Data Science - IT  in Talent Integrators in  Gurgaon/Gurugram for (15-20) years of experience. Apply Now!

Job Description for Head - Data Science - IT  in Talent Integrators in  Gurgaon/Gurugram for (15-20) years of experience. Apply Now!