Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision - making.
About the role
- Data Scientist developing state-of-the-art data and machine learning solutions to empower financial freedom at Plaid. Contributing to high-impact insights and challenges within a collaborative team environment.
Responsibilities
- Applying your expertise in quantitative analysis, data mining, and data visualization to build models and insights
- Identifying useful signals that can be fed into machine learning models
- Informing and influencing product and engineering teams through your data analysis and presentations
- Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid
- Championing a data-first approach toward decision-making across the entire organization
Requirements
- 5-10 years years of industry experience in a financial services Data Science role
- Deep familiarity with SQL and python
- Experiencing constructing models in a regulated industry
- Familiarity with the AWS stack
- Understanding of modern machine learning techniques, such as classification, clustering, optimization, and natural language processing
- Proven ability to tailor your solutions to business problems in a cross-functional team
- Ability to code and iterate independently in Python to conduct exploratory data analysis
- Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
Benefits
- Medical
- Dental
- Vision
- 401(k)
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