Data Scientist - AI & Agentic Solutions

Graham Allen Partners

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in a quantitative field (preferred) or Master's with 5+ years of data science experience
  • Strong applied machine learning skills; fluent in Python and ML libraries
  • Hands-on experience with LLMs and generative AI
  • Proven track record of deploying solutions from ambiguous problems
  • Excellent communication skills with senior leader influence
  • Ability to manage multiple client engagements effectively

Responsibilities

  • Partner with client leadership to identify AI opportunities
  • Prepare data by integrating and cleansing for AI applications
  • Design, build, and deploy machine learning and generative AI workflows
  • Develop proofs-of-concept and production-ready solutions
  • Advise on AI strategy and assess feasibility and ROI
  • Define success metrics and assess impact based on results
  • Effectively communicate across technical and non-technical audiences
  • Ensure compliance with data governance regulations and client standards
  • Stay updated on the AI and LLM landscape for best practices

Benefits

  • Real impact on midsized organizations
  • Diverse challenges with multiple clients
  • Work on applied AI in regulated environments
  • Engage with a purpose-driven community in South Bend
Full Job Description
Location

South Bend, IN - Hybrid

Type

Full-time

Travel

Occasional, client-dependent

Level

Senior Individual Contributor

What You'll Do

  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready - integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy - feasibility, risk, sequencing, and expected ROI - in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements


What You'll Bring

Required
  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) - preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI - building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills - you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients


Nice to Have
  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)


Why Aunalytics

  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems - you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work
Skills & Requirements Qualifications

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