
Associate Data Scientist
Role summary
This Associate Data Scientist role is a hands-on, growth-oriented position for early-career professionals. You will support the development and maintenance of data-driven models, analytics solutions, and emerging AI capabilities, including RAG pipelines. Responsibilities include assisting with machine learning models and analytics pipelines, working with Python, SQL, and cloud-based environments, and collaborating with business partners. The role offers mentorship, exposure to modern data science tools, and opportunities to learn how analytics drives business decisions in a collaborative, agile environment.
About the role:
As an Associate Data Scientist, you’ll support the development and maintenance of data-driven models, analytics solutions, and emerging AI capabilities that help drive insight and efficiency across the organization. This is a hands-on, growth-oriented role designed for early-career professionals who are eager to learn modern data science practices while contributing to real-world business outcomes.
What’s in it for you:
- Hands-on experience working with real production data and machine learning systems
- Exposure to modern data science tools, cloud platforms, and AI frameworks
- Mentorship from experienced Data Scientists and Senior Data Scientists
- Opportunities to grow your technical skills while learning how analytics supports business decisions
- A collaborative, agile environment that values curiosity and continuous learning
- Comprehensive benefits package with health, dental and vision coverage and 401(k) with company match
What you’ll be doing:
- Assisting in the development and maintenance of machine learning models and analytics pipelines
- Supporting both batch and streaming data workflows under guidance from senior team members
- Collaborating with business partners to understand data needs and analytical questions
- Working with Python, SQL, and modern ML libraries in cloud-based environments
- Supporting Retrieval-Augmented Generation (RAG) pipelines and foundational AI integrations
- Monitoring model performance and supporting data quality and operational maintenance
- Contributing to dashboards, visualizations, and data products used across the organization
What you’ll need:
- Bachelor’s degree in a technical field or equivalent practical experience
- Foundational experience with Python and data analysis libraries
- Basic understanding of machine learning concepts and data modeling
- Familiarity with SQL and structured datasets
- Strong problem-solving skills and eagerness to learn
- Ability to communicate clearly and collaborate effectively
*Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.*
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