United States onlyWhy work hereHDVI 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 RoleThe 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
- Medical, dental & vision insurance
- 401k with company match
- Unlimited PTO
- Flexible office policy
