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11/09 Pallavi Sharma
Senior Consultant at Connexions India

Views:3127 Applications:109 Rec. Actions:Recruiter Actions:1

Data Science Head - Data Insights - Internet/Online (8-20 yrs)

Mumbai Job Code: 742126

Team - Data Insights

Department - Digital Business & Transformation

Team Size - 20+

Role Summary - Data Science Head will be responsible to establish the future technical product vision and lead all aspects of the technology product development.

- He/she should crave to go beyond traditional boundaries and be an - Out of the Box- thinker. He/ she should believe the customer should be at the centre of the solution and not the product. 


- Revolutionary and disruptive in approach, the candidate should be passionate to make cutting-edge changes to the way financial services is delivered in India.

Key Responsibilities -

- Strategize and think about new ways to leverage traditional and big data

- Define data structures required and identify their sources

- Enhance data collection procedures to include information that is relevant for building analytic systems

- Extend company's data with third party sources of information when needed

- Processing, cleansing, and verifying the integrity of data used for analysis

- Lead the business analysis for different Digital Banking products

- Monitor business performance, analyze variance drivers, and provide periodic updates to senior management. Provide insight on key performance trends and identify risks/opportunities towards meeting business targets.

- Provide thought leadership to long-term strategic planning process by delivering insightful analysis and perspective.

- Support product managers and campaign managers in understanding key business drivers and drive actionable insights to improve the business top-line and bottom line.

- Lead a team of analyst(s) fostering a high performance culture.

Key Relationships - Product Team, Technology Team

Role Competencies -

- Subject matter expert on machine learning techniques and algorithms

- Experience with common data science toolkits, such as Weka, NumPy etc. and statistical applications such as SAS, SPSS, R, Revolution R, or similar statistical applications

- Experience with data visualisation tools, such as D3.js, GGplot, etc.

- Proficiency in using query languages such as SQL, Hive, Pig, Hadoop

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Good scripting and programming skills

- Strong analytic & problem-solving capabilities

- Tremendous drive towards results. Ability to persist against obstacles & get things done.

- Strong communication skills - ability to work with multiple product teams/stakeholders, understand key business objectives, and communicate complex concepts effectively to different audiences

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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