What we do

HDVI is modern insurance for today’s fleets driven by service, safety and savings. With real-time telematics data informing our risk models, we help lower premiums, mitigate risk, engage and reward drivers and simply put, offer uncomplicated protection for trucking fleets. Our customers are small to midsize truck fleet operators who benefit from dynamic and transparent pricing – automatically reducing their premiums for safer driving. Leveraging a best-in-class partner ecosystem, HDVI combines magnitude and stability with innovation to revolutionize commercial trucking insurance.

Why work here

HDVI is building the industry-defining commercial auto insurance company for the next 100 years. The $50 billion commercial auto industry hasn’t seen real innovation for decades and is broken in a number of ways, creating a significant opportunity for HDVI.

HDVI is co-founded by a former Esurance co-founder, and has a senior management team with experience building innovative insurance and logistics companies from zero to $1B+ enterprises and deep expertise in trucking insurance. HDVI is well-funded by leading logistics and mobility-focused venture capital firms and strategic investors, including 8VC, Munich Re, and Daimler Trucks.

The HDVI Team is values-driven, data-driven, ambitious, and collaboratively minded, with a diverse background of experiences and skills in the insurance and logistics industries. We like challenges and building solutions that improve the quality of life for our customers. We offer generous benefits, including employee stock options, health, dental, vision, 401k, flexible work environment, and unlimited PTO.

About the Role

The Senior Data Scientist will be allowed to work remotely, will report to headquarters of HDVI in Chicago, IL. They will develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Additionally, this position will apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets, as well as visualize, interpret, and report data findings.

What You'll Do

• Gather, analyze, document, and translate business requirements into data models and supported standardization of documentation and adoption of standards and best practices related to data
• Perform data cleansing, data wrangling, data processing, feature engineering, and data profiling using Python Pandas, Numpy, PySpark, and Palantir
• Conduct Exploratory Data Analysis to uncover underlying patterns, test business assumptions, generate hypotheses for further analysis using Python PySpark, Matplotlib, Seaborn, MongoDB Charts, and Palantir
• Design, develop, and validate predictive models with different sources of data using Python Scikit-learn, Statsmodels, and Akur8;
• Design, build and automate data pipelines to implement analytical and predictive models using Python Pandas, Numpy, PyMongo, Bash scripts, and Airflow
• Write complex NoSQL queries to retrieve data in MongoDB and perform further analysis to pinpoint data quality issues and solve business problems

What You Have

• Bachelors in Data science, analytics, business administration (with a concentration of Business Analytics or Business Technologies) or a related field
• Two years of experience as an Analyst
• Experience in Data Analysis and building predictive models, performing tasks such as merging, cleaning, processing, and regularizing data; and data analysis software, including Python Pandas, Python, Numpy, Matplotlib and Scikit-learn

Benefits

• Competitive salary & stock options - we want our success to be yours too
• Unlimited PTO with 11 paid holidays each year
• Medical, Dental, Vision, Short/Long Term Disability, Basic Life, and AD&D to support you and your well-being
• FSA / HSA programs
• 401(k) retirement plan with company match contribution
• Inclusive Parental Leave policy that supports all parents
• Wednesdays are standing meeting-free, allowing you to focus on deep work without distractions
• Birthday meal reimbursement, because celebrating our employees is part of our company culture
• A remote-friendly environment with the opportunity to participate in periodic in-person team offsites

If you are interested in this position, please contact our Senior People Operations Specialist, Morgan Harrison. You can reach him at [email protected].