3 дня назад
Manager Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager Data Science (AI): Leading the development, deployment, and maintenance of predictive, prescriptive, and statistical models for auto finance use cases with an accent on machine learning, forecasting, optimization, and portfolio analytics. Focus on mentoring data scientists, designing advanced studies, deploying MLOps-enabled solutions, and communicating complex findings to senior business stakeholders.
Location: Hybrid in Fort Worth, Texas, United States; two days per week in the Fort Worth office
Company
Auto finance company providing retail financing, leasing, and commercial lending solutions through operations in North America, South America, and the Asia Pacific region.
What you will do
- Lead the development, deployment, monitoring, and maintenance of predictive, prescriptive, and statistical models for originations, collections, risk, pricing, fraud, customer experience, and marketing.
- Apply machine learning, statistical, forecasting, optimization, simulation, and data mining methods to complex business problems.
- Lead research, data collection, analytical studies, and modeling to assess portfolio performance and key business metrics.
- Provide technical leadership, coaching, mentoring, and training to Data Scientists.
- Coordinate multiple projects, oversee analytics delivery, and align solutions with stakeholder and business objectives.
- Present analytical findings and strategic recommendations to business leaders and senior leadership.
Requirements
- 5+ years of experience as a Data Scientist or in a similar quantitative field.
- At least 1 year of project leadership experience.
- Master’s degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science, or a related quantitative discipline.
- Strong foundations in mathematics, probability, statistics, machine learning, predictive modeling, regression, time series, survival analysis, clustering, decision trees, optimization, and dimensionality reduction.
- Experience with Python, SAS, SQL, R, JMP, Microsoft Office, data warehouses, data lakes, big data platforms, and large-scale datasets.
- Experience designing, deploying, documenting, monitoring, and maintaining machine learning solutions, including DevOps/MLOps and Azure DevOps environments.
Nice to have
- Experience with Python frameworks such as TensorFlow and Keras.
- Familiarity with Agile, Lean Development, and structured problem-solving methodologies.
- Experience using AI tools, evaluating AI outputs for accuracy, compliance, and bias, and integrating AI into workflows.
Culture & Benefits
- Flexible hybrid work environment with two office days per week in Fort Worth.
- 401(k) matching and nine company holidays.
- 12 weeks of fully paid bonding leave for new parents.
- Tuition assistance, training, GM employee auto discount, and community service pay.
- Competitive pay and bonus eligibility.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →