3 дня назад
Senior Data Scientist (FinTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (FinTech): Building and improving decision systems, predictive models, and data-driven products with an accent on machine learning, experimentation, and rigorous analytics. Focus on exploring new data sources, designing in-market experiments, deploying end-to-end solutions, and mentoring data scientists.
Location: Remote anywhere in the continental United States or from the corporate office in Utah
Company
provides in-store and e-commerce lease-to-own solutions as part of PROG Holdings, a FinTech holding company.
What you will do
- Lead the design, development, and maintenance of decision systems and predictive models.
- Explore internal and external data sources to improve model performance.
- Design and evaluate in-market experiments involving algorithms, technologies, and processes.
- Prototype solutions to ambiguous business problems using advanced technologies.
- Recommend strategic changes through rigorous analytics and communicate findings to senior stakeholders.
- Mentor junior data scientists and contribute to code reviews, modeling standards, and best practices.
Requirements
- 4+ years of professional experience.
- Master’s degree in a quantitative or technical field such as mathematics, statistics, economics, engineering, physics, or computer science.
- Deep experience with R, Python, machine learning tools, and SQL.
- Experience applying advanced models to real-world problems and delivering measurable business impact.
- Ability to design rigorous research and evaluation methods and own projects from problem definition through deployment.
- Strong communication skills, including the ability to explain technical results to non-technical audiences.
Nice to have
- Experience in engineering environments.
- Knowledge of DevOps and Git.
- Experience using and implementing agentic AI.
- Experience mentoring or leading technical projects.
Culture & Benefits
- Entrepreneurial, high-ownership, data-driven working environment.
- Medical, dental, vision, and life insurance with parental leave.
- Company-matched 401(k), paid time off, and volunteer hours.
- Employee stock purchase program, tuition reimbursement, and charitable gift matching.
- Equipment and services required for the role.
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