Associate Data Scientist

Responsibilities

• check_circle Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows.
• check_circle Apply NLP and Generative AI techniques to derive actionable insights from structured and unstructured data.
• check_circle Design, test, and optimize prompts, retrieval strategies, and agent workflows to improve AI performance and scalability.
• check_circle Build recommendation solutions, such as prospect interest prediction and personalized outreach recommendations, to enhance prospecting effectiveness.
• check_circle Rapidly prototype AI capabilities, evaluate business impact, and help transition successful pilots into production.
• check_circle Partner with Product Managers, business stakeholders, and engineers to translate business needs into scalable solutions.
• check_circle Stay current on advancements in machine learning, Generative AI, and agentic systems, bringing new ideas and best practices to the team.

Basic qualifications

• BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field.
• 1+ years of experience applying data science and machine learning techniques through professional work, internships, or research.
• Experience with Python, SQL, statistical analysis, and databases.
• Curiosity and a growth mindset, with a strong interest in Generative AI and machine learning.
• Strong problem-solving skills and the ability to work independently in ambiguous environments.
• Ability to communicate technical concepts and connect solutions to business outcomes.
• Experience with prompt engineering, retrieval techniques, model evaluation, or agent orchestration is a plus.
• Collaborative, inclusive, and respectful team player.
• Proven ability to manage tasks end-to-end and meet deadlines
• Detail-oriented with strong organizational skills and innovative mindset.
• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
• Collaborative, team-oriented culture that embraces diversity
• Professional development and unlimited growth opportunities

About the company