2 дня назад
Experienced Data Scientist (Machine Learning)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Experienced Data Scientist (Machine Learning): Designing, validating, deploying, and monitoring statistical and machine learning models for complex insurance business needs with an accent on regulatory compliance, large datasets, and end-to-end model lifecycle ownership. Focus on building advanced predictive approaches, optimizing model performance, and collaborating with software developers, architects, and business leaders.
Location: Lansing, Michigan, United States; hybrid schedule with in-person initial training and home-office attendance twice a week
Salary: Competitive base salary commensurate with skills and experience
Company
An insurance carrier providing financial security to individuals and businesses after losses.
What you will do
- Lead the design, development, validation, deployment, and monitoring of statistical and machine learning models.
- Work with large, complex datasets and develop expertise in internal data structures and metrics.
- Conduct ad-hoc analyses and present quantitative findings to stakeholders at multiple levels.
- Design, prototype, and implement new analytical approaches for complex business problems.
- Collaborate with software developers, architects, and business leaders on cross-functional initiatives.
- Document models clearly and implement iterative performance improvements.
Requirements
- At least 5 years of professional experience building models with large datasets.
- Master’s degree in a quantitative discipline such as mathematics, statistics, computer science, physics, operations research, economics, or engineering.
- Proficiency in SQL or another data-querying language.
- Knowledge of classification, regression, clustering, feature engineering, decision trees, gradient boosting, and deep learning.
- Experience with data science tools including R, Python, TensorFlow, SQL, Scikit-learn, and Keras.
- Ability to work in the United States without current or future sponsorship.
Nice to have
- Experience mentoring junior data scientists or leading analytical workflows.
- Experience deploying analytics solutions in cloud environments such as AWS.
- PhD in a quantitative discipline.
- Experience in the insurance industry.
Culture & Benefits
- Hybrid work environment with the ability to work from home up to three days per week after initial training.
- Matched 401(k), fully funded pension plan after vesting, and bonus programs.
- Student loan assistance and gym cost reimbursement.
- Paid holidays, vacation, personal time, and sick leave.
- Structured education and training programs, mentoring, advancement, and lateral career opportunities.
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 →