This position is with our client who is world's largest company
in the field of automobiles development and testing of powertrain system.
Leadership role in Data Science: (Reporting to CTO)
Location: Gurugram
Job Requirements
This is a lead role with all the associated managerial and
strategic goals. He should have acumen to build business.
He should be able to Institutionalize the domain knowledge
by producing Solutions (cross industry)
He should be hands on to create machine learning algorithms
to build new products
Collaborate with business development team to understand the
client challenges and come up with innovative solutions to meet their
requirements
A Data story teller and an appreciation for both the power
and limits of data. You will be able to communicate your findings, orally and
visually.
Experience of working in an unstructured environment /
startups
Role Accountabilities
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 in a quantitative discipline such as computer science,
statistics, physics or mathematics. 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