10 часов назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Analytics/Machine Learning): Building and improving decision systems and predictive models for fintech products with an accent on data mining, experimentation, and advanced analytics. Focus on designing rigorous evaluations, exploring internal and external data sources, and implementing machine learning solutions for real-world business problems.
Location: Remote anywhere in the continental United States, or onsite at the corporate office in Utah
Company
is an employee purchase program within PROG Holdings, a FinTech holding company providing payroll-deduction purchasing and other financial solutions.
What you will do
- Build, maintain, and improve decision systems and predictive models supporting competitive advantage.
- Explore internal and external data sources to improve model performance.
- Design, implement, and evaluate in-market experiments for new algorithms, technologies, and processes.
- Prototype solutions to business problems using advanced technologies and analytics.
- Recommend and support strategic changes through rigorous analysis and creative problem solving.
- Identify, evaluate, and help implement advanced analytics methods.
Requirements
- 2+ years of experience in data science or a related field.
- Master’s degree in a quantitative or technical field such as mathematics, statistics, economics, engineering, physics, or computer science.
- Experience with R, Python, machine learning tools, and SQL.
- Demonstrated application of advanced models to real-world problems.
- Ability to create rigorous research and evaluation designs.
- Curiosity, adaptability, and willingness to learn as AI-enabled tools and workflows evolve.
Nice to have
- Experience in engineering environments.
- Knowledge of DevOps and Git.
- Experience using and implementing agentic AI.
Culture & Benefits
- Entrepreneurial, high-ownership data science team focused on rigorous analysis and real-world impact.
- Career growth paths in data science and leadership.
- Medical, dental, vision, and life insurance, plus parental leave.
- Company-matched 401(k), paid time off, and volunteer hours.
- Employee resource groups, employee stock purchase program, tuition reimbursement, charitable gift matching, and required equipment and services.
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