Remote Data Scientist, Mid to Senior Level

Summary

Join Fraym's team as a mid-to-senior level Data Scientist to help grow analytical product offerings and improve predictive algorithms in emerging markets. Your work will be split between executing projects and technical mentorship responsibilities.

Requirements

• Master’s Degree or PhD in a related field
• At least 5 years of working in a data science context, including technical mentorship in a data science, or adjacent, industry
• Essential skills: Working in the nitty gritty of Machine Learning modeling, including applying suitable best practice techniques for model testing, tuning, accuracy, and validity
• Communicating methodology to non-technical audiences
• Python (geopandas, sklearn, numpy, etc.) and/or R (raster, tidyverse, caret, etc.)
• Cloud computing environment (AWS)
• Git, version control

Responsibilities

• Developing workflows and identifying new applications of methodologies for company-initiated use-cases leveraging multiple data sources, as well as generalizing methodologies developed in-house
• Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations
• Coordinating with our product, account, and project teams to execute data science ideas and workflows for existing and potential clients
• Serving as technical lead for a small, talented team of data scientists who are responsible for creating and deploying new and improved methods
• Collaborating with data science team leadership to determine, drive, and pivot the data science team within the context of our organizational mission

Preferred Qualifications

• Experience with GIS/geostatistics and/or complex survey design
• Knowledgeable in OOP with strong software development experience
• Knowledge management experience
• Formal training or experience in project management best practices (such as Agile)
• Experience working with or in intelligence sector

Benefits

• Salary Range (US Based: 119,000 - 145,000 USD + additional annual bonus); actual salary is commensurate with experience, and fit
• This position is remote, but candidates must be located and authorized to work in the United States
• Professional development and learning opportunities
• Comprehensive medical, dental, and vision insurance, including other ancillary benefits
• 401(k) program
• Flexible Paid Time Off