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30/06 Sam Adam
Head at Recruit Panda

Views:497 Applications:111 Rec. Actions:Recruiter Actions:31

Director - Data Science - Business Intelligence & Analytics (12-18 yrs)

Delhi NCR Job Code: 1118835

Director Data Science-BI & Analytics


- We are seeking a talented leader to lead our Data Science division and develop a long-term roadmap for analytic capabilities. This is an opportunity to drive a broad charter and manage stakeholders across teams ; business, product and technology.

- We have a culture of data-driven decision-making enabled via business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.


- Define, build, and lead a team of analysts, data scientists and data engineers

- Work with all teams in the company to understand requirements, plan & deliver solutions and drive data-based actionable decisions.

- Develop reporting dashboards KPIs and monitor them diligently to quickly assess problems and solve them quickly.

- You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.

- Be hands-on with big data technologies and be able to guide the team through technical leadership.


- B. Tech or a relevant degree in a quantitative field (mathematics, statistics, economics, OR)

- 12+ years in data science, Machine Learning and AI.

- Be able to manage a team of high performance individuals. Also, mentor and grow them.

- Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Strong organizational and multitasking skills with ability to balance multiple priorities.

- Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs.

- Ability to effectively communicate and manage relationships with senior management, other departments and partners.

- Experience in R, Python, PySpark

- Experience working with AWS Big Data Technologies (EMR, Redshift, S3)

- Experience in at least one visualization platform such as Tableau, QlikView, Spotfire, Metabase or ReDash.

- Advanced SQL experience is mandatory ; Hive SQL, Presto, SQL Server, etc.

- Strong problem-solving skills and ability to prioritize conflicting requirements

- Excellent written and verbal communication skills and ability to succinctly summarize key findings

Women-friendly workplace:

Maternity and Paternity Benefits

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