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24/06 Richa Lad
Senior Recruiter at Analytics India Magazine

Views:278 Applications:61 Rec. Actions:Recruiter Actions:16

Analytics India Magazine - Delivery Manager - Data Scientist (8-15 yrs)

Bangalore Job Code: 941935

Our Client is enabled in data analytics transformations for Fortune 500 organizations across the world to build core capabilities that set them on a path to achieve analytics self-sufficiency.

Our Client has won multiple awards as a global Data and Analytics firm - Ranked #23 in the Deloitte Technology Fast 500- Asia Pacific 2019 and #2 in Deloitte Technology Fast 50- India 2019. 35+ Fortune 500 Companies, from almost 10 different industries and countries, trust us to power their analytical transformation.

Role:- Delivery Manager- Data Science

Exp- 8-15

Location- Bangalore

Job Description:-

A Delivery Manager is the face of the organization in our client engagements. As a Consultant, you will be responsible for a wide range of things just to ensure you don- t get bored and always keep learning :) We have listed a few of them below to help you get an idea

- Designing strategy and roadmap for building analytics capabilities of large organizations

- Building relationships with the clients and be identified as a trusted partner to provide solutions to their challenges and help achieve their outcomes

- Creating sales proposals and pitching the idea of our services to attract new clients and grow the engagements pipeline

- Providing thought leadership and execution of strategic initiatives as hiring, learning etc. to create niche offerings for our client

So, what does it take to be a Delivery Manager?

We are looking out for people who share our passion for analytics and energy to build a great company. We have outlined few criteria that would make you successful in this role

- Hands-on experience in end to end Project delivery with strong People management skills.

- Experience of working on and managing analytics projects and initiatives, preferably around 8-10 years. Client facing roles, if any would be preferable

- Strong technical expertise (Regression, Machine Learning, Classification, Time series etc.) and knowledge of various analytics tools (R/SAS/Python/SPSS etc.)

- Clarity of thought and ability to structure & manage large scale analytics programs- in terms of people, methodology and operations

- Ability to do what it takes. We want you to be part of our growth story and this would entail roles and responsibilities that would be new, exciting, and dynamic

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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