BriefCase
BriefCase

Product Manager(data Science ) Job in Trantor Software Pvt Ltd

Product Manager(data Science )

Trantor Software Pvt Ltd 4+ weeks ago
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Job Summary

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Description

About Trantor

Founded in 2009, Trantor is a leading software services company headquartered in Menlo Park, California. We deliver innovative technology solutions which enable our clients to achieve their business objectives holistically keeping the big picture in the front and center.

People working at Trantor practice pragmatism in software engineering and focus on customer success. This has led to extremely positive long-term working relationships with our clients and solution partners. They participate in different forums at Trantor to solve complex business and algorithmic problems across business domains. They also actively participate in and nurture the local tech communities.

Why work at Trantor

  • We value diverse perspectives and hire to enrich our teams with new ideas and perspectives.
  • Your learning is a top priority. We actively structure teams and projects to maximize individual growth and opportunities.
  • You are encouraged to communicate openly and share opinions irrespective of your role or designation..
  • Good work/life balance - We have strong work ethics towards our customers; at the same time we also value your life outside of work.
  • Many of us have worked together at previous companies, and choose to work together again and again because we respect one-another.

Requirements

This role covers strategic analysis, strong business knowledge, and an ability to define and drive a technology roadmap. The successful candidate will have extensive awareness of hub portal product features and functionality in the market and determine how our technology can stay ahead of competition with periodic releases.

Here's what you will do:

  • Ongoing product and process development to improve and streamline Bucks analytics services to not

    • only deliver a superior service to our clients, but also to improve our efficiency and profitability.

  • Mentoring/managing Data Science team members.
  • Partnering with the Global Analytics Strategy Leader to educate clients on the value of adding Data

    • Science analytics products to their business, capturing & defining needs and solutions

  • Synthesizing business needs and creating business/functional design documents which can be used to

    • build analysis and data models.

  • Assessing data for validity in terms of predictive capabilities, required feature engineering,

    • opportunities for data widening, or alignment to business requirements.

  • Developing, implementing, and supporting methodologies, standards, and tools for analysis and data

    • science work.

  • Building cooperative, productive relationships with clients and vendors by utilizing excellent

    • communication skills, while also interacting effectively internally and externally.

  • Researching, prototyping, and exploring future, non-standard analytics approaches that push the limits

    • of current analysis output. This will include exploring novel machine learning techniques which enable

    our teams to tackle segmentation, clustering, and predictive models used in a wide variety of areas.

    Here's what you will Bring:

    Bachelor degree in Mathematics, Statistics, Business Analysis or related

  • 10+ years experience as an Analyst / Data Scientist
  • 3+ years of managerial and leadership experience
  • Advanced knowledge of R, Python or SAS for model development
  • Previous experience with web analytics tools such as Sisense, Qlik, Tableau and Google Analytics
  • Extensive experience with statistical modelling techniques
  • Experience connecting Sisense or other visualization systems and using for dashboarding or analysis
  • Self-motivated and ability to work independently in meeting deadlines
  • Exceptional written and verbal communication skills and is comfortable working with remote team



    • Ideal Qualifications

  • Previous experience with marketing analytics including database marketing techniques, campaign lift,

    • attribution and media mix modelling

  • Familiarity with analyzing data for digital marketing and ecommerce, as well as all other non-digital

    • aspects of a business

  • Experience working with population health data, financial data, engagement data, and/or talent data
  • SQL skills
  • A solid knowledge of ETL tools
  • Understanding of how to deal with larger data sets and parallel computing problems


    •
    Experience Required :

    Fresher

    Vacancy :

    2 - 4 Hires

    Apply Now
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