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01/05 (ANI Technologies)
HR at OLA Cabs

Views:355 Applications:74 Rec. Actions:Recruiter Actions:0

OLA - Lead - Data Sciences (10-15 yrs) Premium

Bangalore Job Code: 920337

Roles and Responsibilities:

- Lead data science charter for OLA

- Work with product and business team to articulate business problems and use appropriate machine learning techniques to arrive at an answer using available data.

- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our consumers & customers interact with our platform, categories & product offerings. .

- Proactively drive the vision for product analytics across a product vertical, and define and execute on a plan that achieves that vision.

- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

- Inform, influence, support, and execute our product decisions.

- Drive data quality across the product vertical and related business areas.

- Manage the delivery of high impact dashboards and data visualizations.

- Define and manage SLA's for all data sets and processes running in production.

- Manage development of data resources, gather requirements, organize sources, and support product launches.

Experience & Skills :

- The company is looking for an experienced professional who will fit in with the organization's fast-paced and - quick response time- culture.

- 10+ years of experience in managing other team members in a formal or informal capacity, with experience scaling and managing 10+ person teams.

- 8+ years of experience doing quantitative analysis.

- 8+ years of experience in an analytical role in a technology company, consulting, investment banking, or product management.

- 5+ years of experience with SQL or other programming languages.

- Experience initiating and driving projects to completion with minimal guidance.

- Communication and leadership experience.

- NoSQL paradigms, Graph databases

- Handling real time data streaming

- Statistical methods and data modelling for trends, forecasting and predictive analysis. large data sets and distributed computing (Hive/Hadoop) and data visualization tools.

Education :

Preferred Qualification :

- Advanced degree in Computer Science, Math, Physics, Engineering, or related quantitative field or MBA.

Experience in companies that are in the startup space.

The apply button will redirect you to an external URL, please apply there as well.

Women-friendly workplace:

Maternity and Paternity Benefits

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