Роль четко определена с хорошим диапазоном зарплаты и акцентом на инновационные приложения машинного обучения в финтехе, что делает ее привлекательной для опытных специалистов по данным.
As a Staff Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.
As a Staff Data Scientist, you’ll:
Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals. You’ll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.
You are a person who:
Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
Has a PhD in a quantitative field and 1+ years of experience in a related role
Has a BS / MS in a quantitative field and 5+ years of experience in a related role
Excels at cross-functional collaboration as technical expert to both business leaders and other technical teams. You approach problems with a solution-oriented mindset and can overcome the real-world challenges of managing data and applying models
Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools
You get bonus points for:
Experience solving problems in consumer lending or fintech
Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks
Compensation USD
Annual full-time starting base salary range: $147,000 - $179,000 This role is also eligible for additional compensation in the form(s) of participation in our annual incentive and equity program. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.
Показать контакты
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 →
Текст вакансии взят без изменений
Источник - Telegram канал. Название доступно после авторизации