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| 11.17.22

Data Scientist

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Data Scientist

(No. of Positions-1)

Location - Noida, India | Full-Time

Job Summary

The Data Scientist is primarily responsible to work on software solutions to provide accurate retail data analytics & insights to make smarter, timely, data-driven decisions. You will work with architects, analysts, data scientists, service designers, process engineers, and peer developers both in India and the US to translate customer opportunities, needs, feedback and technology capabilities into scalable, resilient, and efficient customer-centric services. You will contribute to development of end-to-end solutions to help us better serve our platform customers.

  • Education Requirements

    BE/B.Tech/MCA Degree in Computer Science, Engineering, or similar relevant field

  • Salary

    Not Disclosed

  • Benefits/Hours

    Medical Coverage, Accidental Insurance, Life Insurance, Eligibility to Gratuity after 5 years of continuous service, Paid Time Off, Paid Holidays and Floating Holidays


  • Responsible for designs and development of enterprise-wide Data Science/Data Analytics applications using Python and SQL.
  • Responsible for participating in all stages of the development life cycle including requirements analysis, design, development, testing, and implementation.
  • Coordinates with US software architects for overall design and standards
  • Coordinates with US business stakeholders to ensure requirements are being met
  • Should be adaptable to US time zone whenever required to have meetings with onshore counterparts.
  • Deep experience working on Agile teams and extensive familiarity with all Agile ceremonies.
  • Keeps current with new technologies and software methodologies related to the Microsoft software development platform.

Knowledge & Skill Requirements

  • Minimum of 5+ years of experience in Data Science and Analytics
  • Minimum of 4+ years of experience developing solutions in Python and Microsoft SQL Server.
  • Experience working on visualization tools like Power BI and Tableau
  • Hands-on experience in technologies and tools related to NLP, Deep learning and Machine learning
  • Good experience on Textual Analysis and Unstructured Data Analysis
  • Experience with recommendation systems, prediction systems, computer vision and pattern recognition
  • Strong in problem solving, algorithms and data structures
  • Ability to work on large scale data (structured and unstructured) having applied fundamentals in data management, parallel computing, and distributed systems.

Additional Qualifications

  • Excellent written and verbal communication skills
  • Excellent organizational and time management skills
  • Strong problem-solving and analytical skills
  • Strong attention to detail and documentation
  • Strong foundation in object-oriented programming
  • Ability to work in a team-based environment
  • Willingness to work a flexible schedule
  • Ability to work with minimal supervision in a very dynamic and timeline sensitive work environment

About Intrics & the team

Intrics is a spin-off of a 30-year market leader in the retail data space with active relationships in virtually every major North American retailer. Intrics provides intelligent solutions leveraging the winning combination of progressive technical expertise (data science, analytics, advanced engineering, etc.) and extensive retail domain knowledge.

Never before has a company been more uniquely positioned to service the retail industry. Combining a deep understanding of retail operations and strategies, and a technological expertise to leverage the massive data influx and extract the most valuable and actionable information.

Why become part of Intrics

The retail industry continues to see unprecedented dynamics associated with the pivot to a true omni-channel shopping experience. Informed retailers are succeeding and Intrics is providing the solution and insights used to make million-dollar decisions each day. With Intrics you will be at the forefront of retail innovation and a true partner to the industry.

Are you ready to contribute to solutions sought after by North America’s leading retailers? If so, let’s talk.

Let's get started

Interested in learning more about our solutions? Connect with us so we can share insights that will help drive your business. Or email us directly for a discussion.

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