Data Scientist 1

Data Scientist I – Generative AI Location: Irving, TX Work Schedule: Full-time onsite, 1st shift Contract: 12 months, with contract extensions likely available Compensation:$51–$54/hr W2 with benefits Position Overview We are seeking a Data Scientist I to support the adoption and application of Generative AI and agentic technologies across enterprise business teams. This role combines hands-on AI/data science knowledge with business engagement, helping users identify valuable AI use cases, experiment with GenAI tools, troubleshoot solutions, and implement responsible, scalable approaches. The ideal candidate has 2+ years of professional experience with Python, machine learning, analytics, and Generative AI and can communicate technical concepts clearly to both technical and non-technical stakeholders. Responsibilities Partner with business stakeholders to identify problems, user needs, and opportunities where Generative AI or agentic capabilities can provide valueConfigure, test, evaluate, troubleshoot, and document prompts, assistants, agents, AI-enabled workflows, and related user experiencesSupport prompt design, system instructions, knowledge grounding, structured outputs, agent configuration, and AI response evaluationTranslate business requirements into practical GenAI use cases and recommend appropriate tools, approaches, or reusable patternsTroubleshoot issues involving prompts, configurations, AI outputs, data, integrations, and platform behaviorApply Python and data science techniques to data analysis, statistical modeling, machine learning, experimentation, and model validationCollaborate with AI product owners, data scientists, architects, engineering, cybersecurity, governance, privacy, and business teamsExplain GenAI capabilities, limitations, risks, responsible usage, and human oversight to business usersDocument troubleshooting steps, lessons learned, reusable guidance, and best practices Required Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Business Analytics, or a related quantitative field2+ years of professional experience in data science, analytics, machine learning, AI, or a related fieldHands-on experience with Python, including Pandas, NumPy, SciPy, Scikit-learn, or similar librariesWorking knowledge of Generative AI, LLMs, copilots, assistants, agents, prompts, knowledge grounding, and AI-enabled workflowsExperience designing, testing, troubleshooting, or evaluating prompts and AI-generated outputsUnderstanding of machine learning and statistical techniques such as regression, classification, clustering, hypothesis testing, ANOVA, Random Forests, SVMs, or neural networksExperience with data visualization and analytics toolsStrong verbal and written communication skills, initiative, patience, problem-solving ability, and teamwork Preferred Qualifications Experience with RAG, LangChain/LangGraph, vector databases, prompt engineering, agentic AI, or LLM evaluationExperience with AWS, Azure, Google Cloud, or comparable cloud platformsUnderstanding of Responsible AI, data privacy, security, governance, and human oversightExperience supporting AI solutions from discovery and experimentation through validation, deployment, adoption, and ongoing supportExperience working directly with business users to identify use cases, demonstrate solutions, troubleshoot issues, and encourage adoptionKnowledge of APIs, workflow tools, collaboration platforms, scripting, and enterprise data sources What Makes Someone Successful We’re looking for someone who is technically curious but equally comfortable working with people. The right candidate will enjoy: Experimenting with emerging AI and GenAI technologiesBreaking down ambiguous business problemsTurning business needs into practical AI use casesExplaining complex concepts in straightforward languageTroubleshooting and continuously improving AI solutionsCreating reusable solutions and guidance that can benefit teams across an enterprise Compensation: $51–$54/hr W2 with benefits #INDOEM