Remote Data Scientist

Must Live in the US

US Citizen or US Resident with excellent communication skills

Must have Automotive, FinTech or Financing Cars Industry Experience

Data Scientist

• Provide technical and thought leadership designing, testing and implementing methodologies to forecast and monitor metric time series.
• Develop algorithms to detect anomalies, assess risks/threats, and core metric fluctuations.
• Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, product managers and company leadership.
• Interface with engineers, product managers and product analysts to understand data needs and help build data products.
• Drive the design, building, and launching of new data models and data pipelines in production.

Job Responsibilities:

Build best-in-class predictive models and decision tools:

• Identify issues and recommend testable improvements to different aspects of the business
• Research into which algorithms work in related industries
• Prioritize and balance the data science work and the speed to market for new improvements

The 5 main algorithms Data Scientist will be developing are:

#1. Value (fair market value)

#2. vehicles in demand (predict)

#3. recommendation models (i.e. collaborative filtering…meaning if guy X does this and most likely guy Y will do this).

#4. Predictive Exchange- when is customer thinking about buying another car - for example it will be possible in 4 months she/he will have the option to change car

#5. Credit underwriters, how likely is customer not likely to pay

Job Requirements:

Bachelor's degree in a STEM or related quantitative field (economics, social sciences, finance).

Have proven experience in using statistical and/or predictive modeling to build algorithms that will move human behavior in a desired direction.

Technical expert in data science and programming.

Experience building algorithms, data analysis and visualization.

Experience working with large datasets in a Cloud environment.

Have proven knowledge of advanced modeling techniques such as classification/regression, spatial analysis, time series analysis.

Have used location-based data to solve the optimization of complex customized networks in the mobility space.

Have outstanding written and verbal communication skills.

The Data Scientist must have automotive, credit or financial industry experience.

Big Plus have 1 year experience working remotely

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