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About the role
- 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
- Experience with developing AI solutions across a variety of domains
- 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
Benefits
- Stock grant opportunities dependent on your role, employment status and location
- Additional perks and benefits based on your employment status and country
- The flexibility of remote work, including optional WeWork access
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondata sciencedata cleaningdata modelingfeature engineeringfeature extractionmachine learningstatistical methodsSQLdata pipelining
Soft Skills
communicationcollaborationindependent thinkingproblem solving
Certifications
Bachelor’s degree