Responsibilities

• Solve real world problems using Data Science and statistical techniques
• Implement functionality which can be served in production for internal customers as well as external customers
• Designing, building and maintaining data sets
• Data cleaning & modelling
• Feature engineering
• Feature extraction
• Building end-to-end data & machine learning pipelines
• Conduct reproducible research
• Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions
• Apply software engineering practices in our code that implements our research and its infrastructure
• Produce high quality, clean, maintainable reproducible research and code

Requirements

• High proficiency in Python and its data science stack.
• Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role)
• Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning
• Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions
• A Bachelor’s degree or higher
• Must have hands on experience working with SQL
• Must have hands on experience working with Python (Preferably with Pandas)
• Must be strong at applying statistical methods to data
• Must be strong with data pipelining
• Must be an independent thinker and have the ability to work independently to solve problems

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.