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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
Pythondata sciencedata cleaningdata modelingfeature engineeringfeature extractionmachine learningstatistical methodsSQLdata pipelining
Soft skills
communicationcollaborationindependent thinkingproblem solving
Certifications
Bachelor’s degree