Data Scientist [Remote]

  • JOB TYPE: Freelance, Contract Position (no agencies/C2C – see notes below)
  • LOCATION: Remote – Global, Work from anywhere
  • HOURLY RANGE: Our client is looking to pay $90 – $110/hr
  • ESTIMATED DURATION: 40h/week – Long-term


What you’ll be working on

Our client is looking for a Data Scientist to join their diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining their industry-leading internal data to develop new analytics capabilities for their businesses.

The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, project management; and a passion for generating business impact.


•                     Develop and maintain consultative relationships with key business stakeholders

•                     Identify, source, transform and join public, proprietary and internal data sources

•                     Model large structured and unstructured data sources (e.


financial transactional, time-series, text, speech/audio and image)

•                     Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.

) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems

•                     Perform analysis and implement solutions that maximize business impact

•                     Prepare and present written and verbal reports to key stakeholders

•                     Some domestic travel may be required

•                     Execute all aspects of an advanced analytical project under guidance


•                     Advanced degree (Masters or Ph.


) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines

•                     Master’s degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions

•                     Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data

•                     Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets

•                     Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)

•                     Software engineering experience in C/C++/C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite

•                     M.



when combined with advanced quantitative degree is highly regarded but not a prerequisite

•                     Prior academic or industry research experience is highly regarded but not a prerequisite

•                     Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite

•                     Experience in CX, marketing, and digital marketing

Top Skills

Scala | Python | Java

Apply Now!