[Remote] Data Scientist Lead
Note: The job is a remote job and is open to candidates in USA. Progressive Technologies, Inc is seeking a Lead Data Scientist to support the Claims Control - File Owner team. The role analyzes customer data, develops and evaluates statistical and machine learning models, translates insights into recommendations, and supports the deployment and monitoring of data-driven solutions in customer-facing processes.
Responsibilities
- As a lead data scientist on the Claims Control - File Owner team, you'll analyze and develop algorithms for technology solutions that solve business problems and improve operational efficiency
- You’ll leverage structured and unstructured customer data to build, test, and evaluate statistical and machine learning models
- You’ll partner with business and technical collaborators to translate customer insights into actionable recommendations and support the deployment and monitoring of data-driven solutions within customer-facing processes
- Work products may range from ad hoc analyses and recommendations for internal partners to direct integration into production systems used by tens of thousands of users
Skills
- • A minimum of 6 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data
- • {OR} Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 3 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data
- • {OR} Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data
- • Demonstrated experience building, deploying, and monitoring statistical and machine learning models in Python, including model validation, evaluation, and performance tracking
- • Hands-on experience analyzing structured and unstructured data to develop customer insights, predictive models, and actionable business recommendations
- • Experience designing and maintaining production data pipelines and predictive data flows that support analytics and machine learning solutions
- • Experience using cloud-based analytics and machine learning platforms like AWS, and partnering with senior business collaborators and cross-functional teams to deliver solutions
- • Experience leading or mentoring junior data scientists and familiarity with emerging analytics technologies such as generative AI, large language models (LLMs), and graph databases, with Neo4j experience
Benefits
- Gainshare annual cash incentive payment up to 40% of your eligible earnings based on company performance.
- 401(k) with dollar for dollar company match up to 6%.
- Medical, dental, and vision, including free preventive care.
- Wellness and mental health programs.
- Health care flexible spending accounts, health savings accounts, and life insurance.
- Paid time off, including volunteer time off.
- Paid and unpaid sick leave, as well as short and long term disability.
- Parental and family leave; military leave and pay.
- Diverse, inclusive, and welcoming culture with Employee Resource Groups.
- Career development and tuition assistance.
- Onsite gym and healthcare at large locations.
- This is a remote position for U.S.- based work only.
Company Overview
Company H1B Sponsorship