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BASIC

Manager – Data Scientist

Ey
India
Posted on: 18 Sep 2021

Job details


  • NATURE OF JOB Hybrid — WFH / WFO / CW
  • CATEGORY Programming
  • SALARY RANGE Best in the industry Annual
  • EXPERIENCE 1 – 3 Years
  • JOB TYPE Full Time
  • REGIONAL PREFRENCES India
  • NO. OF VACANCIES 1

Job description


At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: Data Scientist Function: Digital Knowledge Products Job Rank:Manager Sub Function: Data Management Reports to (name and job title): Data Ops Team Leader Job Summary: The Data Scientist will join a growing team of analytics experts responsible for expanding application of AI, ML and Data Science techniques to the product and services for EY Knowledge and contributing to conceptualization and build of new analytics products. The position will be responsible for applying data science, Artificial Intelligence and Machine Learning skills to solve business problems. It would involve designing, developing, validating, scaling, and optimizing analytics solutions. They will work to enrich the user experience of digital products and drive efficiencies. With a strong data analysis background, the role will manipulate large data sets (structured and unstructured); develop, train and evaluate ML models (includes NLP). They will design and implement scalable architectures and be able to develop endpoints/API where needed to expose models. The role will be responsible to build and maintain predictive models, apply AI techniques to expand the application of data science to products and services of EY Knowledge. The outputs of this position leads to insights that support product development decision-making, along with ideas to automate, innovate, and enhance digital products. Essential functions of the job: (Identify and describe the primary duties and responsibilities. Assume that the reader does not know the role or purpose of the job) Must have skills to build and train statistical models for hypothesis validations, forecasting and predictions, test AI models and derive insights out of it Finalizing prototypes into functional ML components and deploy on our cloud platform Performing hands-on analytical model and products’ development, typically spending most of the time problem solving, algorithm development (writing code, doing proof of concepts, and conducting code reviews) Should have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals. Developing deep understanding of integrations with other systems and platforms within the supported domains. Working with technical product managers contributing to blueprints, and assisting needs and predicting of feature sets Quickly generate and updating prototypes from concept to testing while soliciting feedback Finalizing prototypes into functional ML components and deploy on our cloud platform Embrace emerging standards and promoting best practices Skills: Strong interpersonal and communication skills; ability to work as a team player or independently are required. Must be a proactive and solution-oriented problem solver Ability to undertake multi-projects Ability to bridge gaps between “domain” language (engineering, science) and “computing solution” language Customer focused Proven ability to embrace and drive change Clear dedication to excellence and advancing beyond the current state Strong personal motivation Technical Requirements: Expert in Statistical Modeling to build predictive models, use Artificial Intelligence to solve problems and apply machine learning algorithms to relevant use cases Familiarity with Azure Machine Learning environment 7+ years of experience in Data Science, AI and ML Hands on experience in programming in R/ Python and others to implement Machine Learning Algorithms Working knowledge of data analytics standards, including data warehouses, ETL principles, OLAP, data quality management, advanced analytics, BI, visualization, and service execution rigor / discipline Experience in data manipulation using Alteryx or SQL or R/ Python etc. Data Visualization (Power BI or Tableau) will be plus Data storage including distributed systems Data querying Supervision Responsibilities: Works with a geographically dispersed team, highly self-motivated, able to work independently Ability to complete multiple medium-sized projects and work with project teams Directs junior team members as needed Able to meet deadlines independently Job Requirements: Education: Bachelor degree in computer science, computer engineering or STEM subjects Masters degree in computer science, computer engineering or STEM subjects Experience: 7 years of minimum relevant experience in a Data Science, AI, ML based roles Ideally, experience in data science-based application in Automotive or Energy sectors will be a plus Certification Requirements: Data Science or Analytics certifications desirable Note: This job description is intended as a guide to reflect the principal purpose of the job. However, it is not an all-inclusive listing of the required job responsibilities and these may vary depending on the particular geographic location of the job and/or the manager. Further, the job description is subject to change at the discretion of management. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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