DS2 Data Scientist (Full-time & USD salary)

IV.AI, a US company headquartered in Los Angeles, is looking for remote Data Scientists to join and help work on machine learning problems (in the field of NLP) for unstructured data, large enterprise users, 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 independently identify and deliver business insights from very diverse data types and sources. Deliver production-ready code, CSVs, and compelling narrative visualizations.

Salary: $30,000 to $45,000 (in USD) depending on experience

Timezone: PST

Responsibilities

• Own and deliver projects starting with very diverse data and business targets
• Contribute to general features for the internal product library while delivering for specific clients
• Own report delivery for clients, and contribute to library documentation
• Explore and present datasets and narrative visualizations
• Build linguistic and statistical general models
• Translate business problems into specifications for computational tasks like classification or ranking

• 2+ years writing queries in SQL or running models in Python/Jupyter
• 2+ years doing statistical analysis
• Write and speak clearly, communicate em-pathetically
• Highest standard of excellence for your work
• Impeccable attention to detail: spotting typos in variables, syntax errors in text and gremlins in data
• Ability to define evidence-based, quantifiable solutions to open-ended business problems

Bonus Points

• Familiar with a range of NLP techniques or computational linguistics
• Fluent data storyteller
• 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