DATA SCIENCE MANAGER

Location: Gurgaon

Employment Type: Full time

Experience: 6+ years

Position Summary:

The role is a mix of data science, product management and client management. The person primary responsibilities would be the following: -

  • Manage/Lead client implementations of NAVIK products
  • Support on Sales/Marketing for NAVIK products
  • Manage Development of some part(s) of the NAVIK AI platforms &/or products suite
  • Be part of the NAVIK leadership group and contribute to the longer-term NAVIK product roadmap/vision

Key Responsibilities:

  • Manage/Lead client implementations of NAVIK products
    • Lead the data science part of NAVIK implementations with clients on ground
  • Consult with senior clients to define business problems and shape solutions
    • Support on Sales/Marketing for NAVIK products
    • Participate on sales calls/meeting as the Technical Expert
    • Devise creative solutions to business problems
    • Lead proposals as Solutions Architect
  • Manage Development of some part(s) of the NAVIK AI platforms &/or products suite
    • Design and develop new ML, Analytical or AI algorithms to support new feature development in the NAVIK AI platform &/or the product suite
    • Be part of the NAVIK leadership group and contribute to the longer-term NAVIK product roadmap/vision
    • Contribute to the long term roadmap of NAVIK as well as the short term prioritization for the larger team
    • Lead a team to execute the part of this roadmap allocated to the candidate

Qualifications and Skills:

  • Bachelor’s/Master’s degree in Computer Science OR Master’s degree in Statistics/Economics/Business Economics/Econometrics/Operations Research
  • 6 – 8 years of experience in the Analytics / Data Science space with some knowledge/exposure to technology
  • Analytical/Data Science Experience we are looking for: -
    • Demonstrated ability in solving business problems using quantitative approaches
    • Expertize in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc.
    • Exposure to open source analytical tools – such as R, Python, Knime
    • Understanding of data visualization & experience with tools such as Tableau, R Shiny, QlikView, etc (any one).
  • Technology and Data related Experience we are looking for: -
    • Exposure to implementing data science solutions in production environments
    • Understanding of analytical architecture components; query languages, web services, APIs etc
    • Exposure to Big data technologies such as Hadoop, Elastic Search, etc.
    • Some exposure to cloud and it’s components – AWS / Azure / Google Cloud Platform (any one)
    • Knowledge of ETL methods such as data imputation, data cleaning, outlier handling, etc.
    • Knowledge of databases and associated tools – e.g. RDBMS, SQL, etc.
  • Other Traits we are looking for: -
    • Interest in Product Development/Management
    • Good exposure to client management, presentations, proposal creation, project management, etc.
    • Management of small team of data scientists and engineers

Technical skills – Desirable

  • Usage and customizations of existing AI and ML platforms such as IBM Watson, Google ML, Azure ML, AWS ML etc.
  • Deep Exposure to AWS/Cloud Architecture
  • Expertise in NLP (Natural Language Processing)
  • Expertise to Big Data technologies like Spark, PySpark, SparkR etc.
  • Design Thinking

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