Data Scientist AI Agentic Solution positions focus on delivering results in their domain. This page aggregates open Data Scientist AI Agentic Solution roles and what employers typically expect.
| **Location** | South Bend, IN - Hybrid | **Type** | Full-time | | --- | --- | --- | --- | | **Travel** | Occasional, client-dependent | **Level** | Senior Individual Contributor | | **About the Role** | | --- | Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here. | **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