Data Scientist Lead

About the role

Your journey has already begun. Apply today and take the first step to Destination: Progress.

Responsibilities

• Analyze and develop algorithms for technology solutions that solve business problems and improve operational efficiency.
• Leverage structured and unstructured customer data to build, test, and evaluate statistical and machine learning models.
• 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.

Requirements

• 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.

Preferred Skills

• 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.

Sponsorship

Sponsorship for work authorization is available for this position only for candidates who hold an existing H-1B Visa.