Data Scientist-3

The role is with one of Worko’s partner companies, a leading E-commerce Unicorn.

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