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About the Role
Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
What you will do
Develop models and run experiments to infer insights from hard data
Improve our product usability and identify new growth opportunities
Understand reseller preferences to provide them with the most relevant products
Designing discount programs to help our resellers sell more
Help resellers better recognise end-customer preferences to improve their revenue
Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
Model seasonal demand to predict key organisational metrics
Mentor junior data scientists in the team
What you will need
Bachelor's/Master's degree in computer science (or similar degrees)
2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
Familiarity with Neural Networks, Machine Learning, etc
Familiarity with tools like SQL, R, Python, etc.
Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors
Experience designing and running A/B tests and drawing insights from them
Proficiency in machine learning algorithms
Excellent analytical skills to fetch data from reliable sources to generate accurate insights
Experience in tech and product teams is a plus
Bonus points for:
Experience in working on personalization or other ML problems
Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
Vacancies & Eligibility Criteria:
| Post | Vacancy | Age | Qualification | Pay |
|---|---|---|---|---|
| Data Scientist II | Bachelor's/Master's degree in computer science | as per norms |
Apply Mode:
How To Apply:
| Important Link | |
|---|---|
| Apply Here | Click Here |
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