
Data Scientist-3
4 days ago
Role Overview
As a Data Scientist III, you will be part of the Data Science team working on challenging problems like fraud detection, inventory optimisation, and platform vernacularization. You will navigate uncharted territories, discovering new paths to creating solutions for users in an untapped market. Your primary responsibility will be enhancing the productivity and utilisation of generated data while working closely with business stakeholders.
Key Responsibilities
Develop models and run experiments to infer insights from hard data
Improve product usability and identify new growth opportunities
Understand reseller preferences to provide them with the most relevant products
Design discount programs to help resellers sell more
Help resellers better recognise end-customer preferences to improve their revenue
Use data to identify bottlenecks that will help suppliers meet their SLA requirements
Model seasonal demand to predict key organisational metrics
Mentor junior data scientists in the team
Transform scattered pieces of information into valuable data
Share and present valuable insights with peers
Requirements
Bachelor's/Master's degree in computer science or similar degree
4-7 years of experience as a Data Scientist in a fast-paced organisation, preferably B2C
Familiarity with Neural Networks, Machine Learning
Familiarity with tools like SQL, R, Python
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
Mandatory Requirements
Bachelor's/Master's degree in computer science or similar degrees
4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
Familiarity with Neural Networks, Machine Learning
Familiarity with tools like SQL, R, Python
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
Preferred Requirements
Experience in tech and product teams is a plus
Experience in working on personalization or other ML problems
Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
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