Data Scientist
- Compensation
- $20K–$36K
- Location
- Remote (Argentina)
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- 2+ years writing queries in SQL or running models in Python/Jupyter
- 2+ years experience with statistical analysis
- Write and speak clearly, communicate empathetically
- High standard of excellence for your work
- Attention to detail: spotting typos in text and errors in data
- Great people come from diverse backgrounds and we are a team that embodies this. We’re not necessarily looking for a Computer Science Masters or PhD. We are looking for someone who cares about articul
- Who are we?
- is the world's smartest AI platform with a focus on enterprise. We have grown fast but aim to retain the scrappy nature that enabled us to build big ML models that outperform the industry standards. T
- We are…
Nice to have
- Data visualization beyond pies and bars (e.g. box and whiskers, histograms, violin plots)
- Github: pull, push, merge, PR, cherry-picking, issue tracking
- Regular Expressions
- PostgreSQL 12+
- An example where we can see your writing style (in English), ideally data-related
Full description
is looking for a Data Scientist to join and help work on machine learning problems (in the field of natural language processing) for large enterprise clients and to improve the suite of products that we offer. The ideal candidate should be helpful, responsive, dependable, and comfortable working remotely within a small team with tight deadlines. We value people who thrive working collaboratively in a distributed team and who are enthusiastic about the potential of machine learning.
Your primary responsibility is to deliver quality production-ready code, data and insights. Execute on defined tasks and contribute to solving problems with defined solutions.
Salary range: USD$20,000 to $36,000 (USD) annual based on experience
Timezone: PST
Employment Type: Full Time Employee
Must-Haves
- 2+ years writing queries in SQL or running models in Python/Jupyter
- 2+ years experience with statistical analysis
- Write and speak clearly, communicate empathetically
- High standard of excellence for your work
- Attention to detail: spotting typos in text and errors in data
Bonus Points
- Data visualization beyond pies and bars (e.g. box and whiskers, histograms, violin plots)
- Github: pull, push, merge, PR, cherry-picking, issue tracking
- Regular Expressions
- PostgreSQL 12+
- An example where we can see your writing style (in English), ideally data-related
Responsibilities
- Primarily focus on improving your craft as a Data Scientist
- Build SQL queries to calculate specific metrics
- Prototype data pipelines on Jupyter
- Write clear and concise reports for client deliverables, and documentation for internal tools
- Analyze and present datasets or results with simple methods
- Understand the reasoning behind the team's design decisions to verify and debug implementations of the designs
Qualifications
Great people come from diverse backgrounds and we are a team that embodies this. We’re not necessarily looking for a Computer Science Masters or PhD. We are looking for someone who cares about articulating high quality data observations and can work diligently, while tackling problems systematically.
Who are we?
is the world's smartest AI platform with a focus on enterprise. We have grown fast but aim to retain the scrappy nature that enabled us to build big ML models that outperform the industry standards. There are a lot of companies right now that talk about the potential impact of AI while we hustle hard and have actually proven the benefits repeatedly. See validation on the homepage or via case studies and press.