3 дня назад
Senior Data Scientist (AI)
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
Senior Data Scientist (AI): Building data infrastructure, predictive models, and scalable data pipelines while delivering advanced analytics and decision-making insights with an accent on machine learning, deep learning, and statistical modeling. Focus on conducting large-scale experimentation, developing and deploying models, researching AI techniques, and translating complex results into recommendations for product teams and senior leadership.
Location: Columbus, OH; office-based workplace
Company
is a financial services organization using data and analytics to support business and product decision-making.
What you will do
- Apply advanced analytics and large-scale experimentation to extract value from business data and answer complex business questions.
- Build, fit, present, and production-score predictive and deep learning models across the full model development lifecycle.
- Research and apply machine learning, deep learning, artificial intelligence, and statistical techniques.
- Define data and technical requirements for training and evolving deep learning models and algorithms.
- Develop a vision and roadmap for using data as a corporate asset.
- Present data-based recommendations, influence product teams, and promote analytics best practices.
Requirements
- Master’s degree in computer science, statistics, economics, or a related field.
- 3+ years of work or educational experience in machine learning or cloud computing.
- Experience using statistics and machine learning to solve complex business problems and building and deploying predictive models.
- Experience with statistical analysis, scripting languages and packages, web scraping, scalable data pipelines, and big data analysis.
- Strong experience with R/RStudio, Python, SAS, SQL, NoSQL, and cloud machine learning technologies such as AWS SageMaker.
- Strong knowledge of predictive modeling, structured and unstructured data, TensorFlow, scikit-learn, caret, and advanced statistical methods.
Nice to have
- Financial services background.
- Ability to communicate complex results to technical and non-technical audiences.
- Strategic, intellectually curious approach with a focus on outcomes.
Culture & Benefits
- Office-based workplace with specific work arrangements confirmed by the hiring team.
- Some positions may offer flexible work arrangements combining in-office and work-from-home work.
- Opportunity to work across analytics and product teams while meeting demanding timelines.
- Equal opportunity and tobacco-free hiring practices.
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