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20/05 HR
HR at Michael Page

Views:527 Applications:102 Rec. Actions:Recruiter Actions:0

Director - Data Science - BFS (10-14 yrs)

Bangalore Job Code: 1098813

Industry - Banking / Financial Services / Broking

Category - Finance

Job Type - Permanent

Job Description -


- Building analytical solutions around complex and open-ended problems


- Work closely with Business leaders, Product managers to define and design right performance metrics for Business and co-owning them

- Enable senior leadership decision making by streamlining the measurement of KPIs and identify the key drivers of these KPIs by building causal model.

Client Details

Our client is a Unicorn and is looking for a Director Data Scientist to be a part of the Research and Development team in Bangalore

Description

As a Data Science Director, your responsibilities are-

- Think creatively, conceptualize and lead projects resulting in substantial long-term impact on the company's vision in many key strategic areas

- Design, develop and deliver various data science based insights, outcomes and innovation (using mathematics, computer science, statistics, engineering, management science, technology, economics, etc) and create "proof of concepts & blueprints" to drive faster, timely, highly precise, workable and proactive decision making based on data based insights and science and shape strategic glide path of the company

- Lead successful cross-functional collaborations with significant execution rigour, customer focus and "Data to Decision" thinking

- Demonstrate a comprehensive view of science and technology and deliver a compelling enterprise vision of how Data, Digital & Artificial Intelligence can contribute to providing quantum in leap in building foundational/groundbreaking capabilities transcending a wide spectrum of areas and propel growth and performance

- Design and develop state-of-the-art, data-driven analysis, models and decision strategies to solve science and business problems. Choose and apply appropriate predictive analytic technologies (such as statistical modeling, neural networks, scorecards, machine learning, pattern recognition and artificial intelligence) heavily injected with domain expertise.

- Own adoption, execution and integration of data science based solution end to end all the way from discovery to launch/post-launch and also into business, design, product, delivery, operations, marketing, brand management, research and technology road maps.

Profile

As a successful candidate for Data Science Director, you should be:

- M.S/Ph.d in Computer Science, Robotics, Mathematics, Statistics, Operations Research, Cognitive Sciences, Psychology, Engineering, Finance, Economics, Medicine, Technology, Management Science, Quantitative Methods and other related disciplines

- Core skill-set/Background: Machine Learning, Artificial Intelligence, Natural Language Processing, Support Vector Machines, Random Forest, Text Mining, Deep Learning, Clustering, Discrete Mathematics, Combinatorics, Informational Theory, Unstructured Text Classification, Latent Topic Modelling, Information Retrieval/Extraction, Signal Processing/ Image Sciences/ Computer Vision/Pattern Recognition, Mathematical/Statistical Modelling (Deterministic and Stochastic), Predictive Science, Decision Theory, Mathematical Optimization/ Operations Research, Applied Statistics, Simulation, Scalability, Theoretical Computer Science, Design and Analysis of Algorithms, High Performance Computing, Computer Vision, Neural Networks, Artificial Intelligence, Social Media Measurement, Sentiment Analysis, Behavioural Analysis

Job Offer

Great ESOP options with a Unicorn and Pathbreaking work in Data Science

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Suraj Jinaon +91 124 452 5458.

The Apply Button will redirect you to website. Please apply there as well.

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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