• Chief Data Scientist - Manufacturing/Financial Industry Jobs in Bangalore,India

  • Michael Page
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  • 9 - 15 Years
  • Posted : above 1 month

Job Description:

Industry - Manufacturing

Category - Consulting

Job Type - Permanent

Description - The data scientist will take complete responsibility of scoping out the problem and building ML or AI models In the process the data scientist must collaborate with different business units, data engineers, and full-stack developers to understand the task requirements, prototype the best feasible solution, and execute the entire model development

Client Details

The client is a leading industrial name and the market leader in its domain

JD

Department

- The data management group works within the Risk office The risk office is in charge of risk management across different business units Risk office provides an independent quantitative assessment of the different carried risks of the clients business

- The team also engage with management and commercial teams to ensure that there is a full and accurate awareness of risk and that these risks are professionally analysed and managed

- While developing risk models, the risk team has developed an excellent understanding of different business verticals of the the clients group Also, the risk team has built a robust data infrastructure through sourcing data from different sources and business units Using the robust data infrastructure sophisticated risk and machine learning models have been developed, which help different business units to take a critical business decision

- The clients board after observing the success of Risk office infrastructure, has given risk team responsibility of data management group to build a robust data infrastructure to create a unified view of all the data, which lies scattered across different teams and use different technologies

- The group is in charge of creating a knowledge house for internal data sources, commodity fundamentals data, and alternative data sources, ie customized data encyclopaedia for the clients business units The natural next steps to harness the capabilities of data encyclopaedia to derive actionable insights for the business units

- A data scientists will help build the infrastructure and develop production ready sophisticated Machine Learning (ML)/Artificial Intelligence (AI) models

- With a long track record of being able to get complicated things done, the risk team is now looking to hire exceptional data scientist for the risk office to increase its firing power You will work directly with The clients Chief Risk Officer at extending our risk and analytic capabilities, written entirely in F#

Key Responsibilities

- The data scientist will take complete responsibility of scoping out the problem and building ML or AI models In the process the data scientist must collaborate with different business units, data engineers, and full-stack developers to understand the task requirements, prototype the best feasible solution, and execute the entire model development

- It is imperative that candidate is open to experiment and learn new technologies as per the task requirement The ideal candidate should be comfortable collaborating with multi-disciplinary teams and open to take leadership when required and follow directions when necessary

Profile

Knowledge, Skills and Abilities

- A graduate degree in quantitative discipline like, computer science, mathematics, physics, and similar disciplines

- An industry experience, which demonstrates building business relevant data science solutions

- Excellent knowledge of data cleaning and Extract Transform Load (ETL) pipeline for the model development

- Comfortable interacting with different kinds of databases and extract relevant data from the different databases

- Experience with building production ready models and maintaining models in production

- Strong skills in undergraduate level statistics, linear algebra, modelling fundamentals, and probability

- Strong skills in computational thinking (Numerical Analysis) ie translating math into units of codes using appropriate data structures with optimal time complexity

- Proficient in Python or R data science stack

- Understanding of parallel computing and parallelizing computations using frameworks like Dask, Spark, MPI

- Familiarity with Deep learning and Deep learning libraries like Keras, tensorflow, CNTK, Theano, PyTorch, Caffe

- Knowledge of Natural Language Processing (NLP) fundamentals and familiarity with Python or R NLP stack

- Knowledge of Machine Vision

- Understanding of Bayesian Modelling, Monte-Carlo Methods and tools like Stan, PyMC3

- Good knowledge of fundamentals of time-series modelling and Time Series stack in R or Python

Significant Plus

- Knowledge of functional programming paradigm or have worked on functional languages like Scala

- Understanding of functional programming using F# (Fsharp)

- Prior experience working in the financial industry

- Experience in building econometric models

- Knowledge of code versioning tools

- Ability to work in a fast paced high pressure environment

- Detail oriented and efficient problem solver Ability to synthesize diverse set of information to prototype business solutions

- Should have an excellent verbal and written communication skills

Job Offer

- Market leading pay package

- Opportunity to work with global stakeholders

- Global role

Work on projects implemented across geographies

To apply online please click the Apply button below For a confidential discussion about this role please contact Karan Seth on +91 124 452 5429

Contact - Karan Seth - +91 124 452 5429

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

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 09th Feb 2020

Key Skills:

Company Profile:

Not Mentioned

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