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Selected role

Data Scientist [Remote]

Braintrust CA San Francisco, California, United States

Live

$228k · Senior Full-time Posted over 3 years ago 3 min read

JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)

LOCATION: Remote - United States only

HOURLY RANGE: Our client is looking to pay $90 – $110/hr

ESTIMATED DURATION: 40h/week - Long-term

THE OPPORTUNITY

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.

Responsibilities:

• 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.g. 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

Qualifications:

• Advanced degree (Masters or Ph.D.) 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.B.A. 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

• Strong background in CX, marketing, and digital marketing is required

Apply Now!

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