20 часов назад
Senior Data Scientist (AI)
107 900 - 183 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building, deploying, and monitoring machine learning models and advanced analytics solutions for intelligent automation and insights in cloud banking with an accent on predictive modeling, large-scale data analysis, and production AI systems. Focus on translating business questions into actionable analytics, developing reliable models, and applying AI to automate tasks and improve product quality.
Location: US - Utah - Lehi
Base salary: $107,900–$183,400 per year
Company
develops cloud banking products with intelligent automation and data-driven insights for the banking industry.
What you will do
- Identify high-impact business challenges and opportunities with cross-functional stakeholders.
- Analyze large and complex datasets from multiple sources to extract meaningful insights.
- Prototype ideas, communicate trade-offs, and develop predictive modeling and advanced analytics tools.
- Develop, deploy, and monitor complex machine learning models in production.
- Lead teams in applying programming best practices and emerging technologies.
- Use AI and machine learning to automate repetitive tasks, improve development efficiency, and strengthen product functionality and user experience.
Requirements
- Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, plus 5+ years of related experience, or an equivalent combination of education and experience.
- Mastery of Python or R, machine learning algorithms and techniques, and experience working with large datasets.
- Strong experience with SQL or NoSQL and database management systems.
- Experience deploying and monitoring models in production.
- Experience with data visualization tools such as DOMO, AWS QuickSight, or Tableau.
- Knowledge of production code practices, including unit testing, object-oriented programming, error handling, logging, contract testing, and version control.
Nice to have
- Advanced degree in a related quantitative or computer science field.
- Experience with Databricks, MLflow, and AWS services including Lambda, SageMaker, S3, Athena, and QuickSight.
- Experience with Agile software development.
Culture & Benefits
- Work in a high-energy, entrepreneurial environment.
- Collaborate with technical and non-technical stakeholders in a fast-paced team setting.
- Inclusive workplace with equal employment opportunities and reasonable accommodations for qualified individuals.
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