Data Scientist
8.0/10
Deel
$80,500 – $138,000 USD
Remote
mid
about 1 month ago
May be outdated
aitechPythonSQLdata sciencemachine learningNLPdata pipelining
AI Summary
The vacancy is well-structured with clear responsibilities and compensation, but lacks some details on payment terms and social links.
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Description
What you'll do
- •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
Conditions
- •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
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
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