Data Science Specialist
TransOrg Analytics
Mumbai
3d ago

Why would you like to join us?

TransOrg Analytics, an award winning - Big Data and Predictive analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East.

Our products - Clonizo' (customer cloning) have yielded significant incremental benefits to our clients. We have been recognized by the CIO Review magazine as the - Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship.

What do we expect from you?

  • Analyze & interpret data and communicate results to clients, often with the aid of mathematical / statistical techniques and software.
  • This role requires : Data exploration, mathematical / statistical modelling, data analysis and hypothesis testing.
  • Design, development and deployment of Predictive models and frameworks.
  • Complex statistical concepts are explained in a way that clients can understand and advice on strategy.
  • What you need to excel at?

  • Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.
  • Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
  • Design and build dashboards and other visualizations in BI tools.
  • Should be able to handle assigned tasks in the capacity of individual contributor.
  • Demonstrate excellent teamwork.
  • Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members.
  • What are we looking for?

  • Bachelor's in Computer Science / Engineering, Statistics, Math or related quantitative degree or equivalent work experience.
  • Experience with modelling techniques such as clustering, linear & logistic regression, random forest etc.
  • Must have a passion for data, structured or unstructured.
  • 3-6 years of hands-on experience with R / Python and SQL is must.
  • Should have sound experience in data mining and data analysis.
  • Excellent critical thinking, verbal and written communications skills.
  • Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
  • Good presentation skills
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