Data Scientist @ HopSkipDrive | Jobright.ai
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HopSkipDrive · 1 week ago

Data Scientist

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Responsibilities

Combine DS strategies, programming expertise, and theoretical understanding of techniques to deliver advanced ML solutions for problem solving across the enterprise.
Scope, explore, specify, test, and deploy, and observe accurate and stable models into production environments.
Utilize modern, open-source data scientific workflows (SQL, R/Python, Github) to create highly accurate or explainable predictive/prescriptive models.
Own models in production and re-train when necessary
Demonstrate a product mindset to deliver portable components that can be deployed into existing products OR converted into stand-alone data products
Partner closely with BI, Engineering, Product Management, DevOps, and business stakeholders to create business-aligned, stable workflows.
Communicate results and model specifications to appropriate stakeholders.
Mentor, train, and assist aspiring data science professionals

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Predictive ModelingPrescriptive ModelingData AcquisitionSQLPythonRAPI DeploymentMachine LearningEconometric ModelingReinforcement LearningOperations ResearchReproducible EnvironmentsGit/GithubLiterate ProgrammingMLOPSCloud EcosystemsBig DataCloud-InfrastructureDistributed ComputeData ScienceTransportation LogisticsTransformers

Required

5+ years of hands-on experience building and deploying production quality predictive and/or prescriptive models. Will accept substitution of up to 2 years for relevant educational experience.
Strong data acquisition skills using SQL in modern technical stacks (PostGres, AWS, Snowflake)
5+ years working with open source data science toolkits including Python (numpy, pandas, scikit, PySpark) or R (Tidyverse/Tidymodels). Strong preference for candidates who can capably translate between Python and R. Will accept substitution of up to 2 years for relevant educational experience.
2+ years experience in deploying models to production environments through APIs, or batch processes
3+ years experience in at least TWO of the following DS methods: Supervised and Unsupervised ML (regression, classification, etc.), Econometric modeling (e.g. time-to-event/survival analysis), Reinforcement learning (e.g multiarm bandits for price or intervention optimization), Operations research (e.g. combinatorial optimization/ traveling salesman, linear programming)
Demonstrated experience with reproducible data science environments including creation of virtual environments, library management, and version control using Git/Github
Demonstrated experience writing up results using literate programming workflows (Quarto preferred)

Preferred

Masters or PhD in Data Science, Operations Research, Applied Math, Machine Learning, Computer Science, AI, Statistics, Engineering, or similar
Experience with back end model deployment and monitoring (MLOPS) using cloud ecosystems (Google, AWS, Snowflake)
Experience with 'big data' solutions requiring cloud-infrastructure or distributed compute
Experience building in, and potentially standing up, cloud-based data science environments (Posit Workbench, DataBricks, Sagemaker)
Experience doing data science work in the transportation, logistics, or delivery spaces
Experience with Transformers for analyzing large sequences of data
This role will be fully remote in one of the following states AZ, CA, CO, DC, FL, IL, IN, KS, MD, MI, MO, NC, NJ, NM, NV, NY, OK, OR, SC, TN, TX, UT, VA, WA, WI

Benefits

Equity stock options
Flexible vacation
FSA
Medical, dental, and vision insurance
401(k)

Company

HopSkipDrive

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HopSkipDrive is a vehicle for hire company focused on shuttling kids to school.

H1B Sponsorship

HopSkipDrive has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2022 (1)

Funding

Current Stage
Late Stage
Total Funding
$123.8M
Key Investors
Disney Accelerator1776 VenturesStudent Transportation Inc.
2022-09-13Series D· $37M
2021-08-11Series C· $25M
2020-02-04Series B· $22M

Leadership Team

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Joanna McFarland
Co-Founder & CEO
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Janelle McGlothlin
Co-founder
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Company data provided by crunchbase
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