Manager Data Science

The Smart Cube
Experience : 4 Years
Education : Any Graduate
Location : Noida
Job Role : HR
Posted on 04 Jan 20
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Job DescriptionLast Date 24 Feb 20
Manager – Data Science

Noida - India

Roles and responsibilities :

  • The Data Scientist is expected to have deep knowledge and skills in Machine Learning/Statistical Modelling/Big Data domain, and be responsible for the solution designing and project management for multiple projects/accounts
  • Design the solution for advanced analytics (including Big Data) projects – what technique to use, what tool/technology to use, etc.
  • Scope out the solution in terms of time, effort, team skills needed independently
  • Own the delivery for projects, including developing scalable ML models and algorithms, and interpreting the output
  • Discuss various opportunities with existing and potential clients at a technical level
  • Lead the effort on developing new capabilities/offerings/solutions across the firm

Ideal Candidate :

  • Expert level working knowledge of Python full stack (back-end, analysis layer, implementation)
  • Proficient in the analysis of both structured, unstructured data (text, image, video),and streaming (sensor) data;
  • Working knowledge of deep learning, experience of having executed very large neural network-based solutions
  • Atleast 2+ years of Big Data experience including managing a Spark/HDFS based project
  • Business domain and solutions knowledge of multiple industries, especially Retail, CPG and Telecom
  • Good knowledge of various data visualisation tools, especially open source such as D3 and Gephi
  • Excellent communication and client engagement skills
  • Team management experience is a plus
  • Master’s Degree in Computer Science/Mathematical Computing/Statistics/Operations Research
  • At least  5  years of experience in Machine learning, Python and Big Data
Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
Our portfolio of solutions empower clients across procurement, marketing, strategy and analytical roles to deliver real business results and become catalysts for new levels of organisational intelligence.
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