Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs
Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
Work with vector databases and embedding models to build intelligent information retrieval systems
Break down broader data science development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics community.

Requirements

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
5+ years’ experience in developing and implementing data science techniques
Proficient in Python for data science and GenAI application development
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Proficiency in machine learning including supervised and unsupervised models
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
Experience with chatbot development concepts and conversational AI design
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Proven ability to mentor and guide junior data scientists and data engineers
Strong problem-solving abilities and analytical skills with keen attention to detail.

Benefits

Wellness programs that support the three pillars of your health – mental, physical, and financial
The opportunity to move along a variety of career paths with amazing networking potential.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLPySparkmachine learningdata transformationdata manipulationAPIsmicroservices architectureGenAI frameworksRAG techniques

Soft Skills

communication skillsstorytellingproblem-solvinganalytical skillsattention to detailmentoringguidancestakeholder engagementnegotiationinnovation

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in StatisticsBachelor’s degree in Mathematics