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HR at Almighty Consultants
Views:190 Applications:45 Rec. Actions:Recruiter Actions:18
Lead Data Scientist (10-20 yrs)
Leadership role in Data Science : (Reporting to CEO)
Location: Gurugram
- 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 productizing 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
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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