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Data Ai information
See Indiana salary details
$22.5K - $35.2K
7% of jobs
$35.2K - $47.8K
4% of jobs
$47.8K - $60.5K
2% of jobs
$60.5K - $73.1K
7% of jobs
$73.1K - $85.8K
2% of jobs
$95.3K is the 25th percentile. Wages below this are outliers.
$85.8K - $98.4K
2% of jobs
$98.4K - $111.1K
3% of jobs
$111.1K - $123.7K
18% of jobs
The median wage is $125.5K / yr.
$123.7K - $136.4K
23% of jobs
$139.2K is the 75th percentile. Wages above this are outliers.
$136.4K - $149.1K
21% of jobs
$149.1K - $161.7K
9% of jobs
$22.5K
$114.2K
$161.7K
How much do data ai jobs pay per year?
What are some common challenges faced by Data AI professionals, and how can they be addressed?
Data AI professionals often encounter challenges such as working with unstructured or incomplete data, integrating AI models within existing business systems, and keeping up with rapidly evolving technologies. Collaborating closely with data engineers, software developers, and business stakeholders is key to creating practical solutions that meet organizational needs. Staying proactive by regularly upskilling and participating in industry forums or trainings can help overcome technical hurdles. Many employers support continuing education, which helps Data AI professionals remain effective and innovative in their roles.
What are the key skills and qualifications needed to thrive in the Data AI position, and why are they important?
To thrive as a Data AI professional, you need strong expertise in data analysis, machine learning, and programming, generally supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, SQL, TensorFlow, and cloud platforms, along with relevant certifications like AWS Certified Machine Learning or Microsoft Azure AI, is highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help individuals excel in cross-functional team settings. These skills and qualities enable effective development, deployment, and interpretation of AI-driven data solutions that drive business impact.
What is a Data AI?
A Data AI job involves working with artificial intelligence and data to analyze, process, and extract insights for decision-making. Professionals in this field use machine learning, data science, and analytics to develop models that improve business processes. They may work on tasks such as automating data workflows, optimizing AI algorithms, or building predictive models. Data AI roles can be found in industries like healthcare, finance, and technology, helping organizations leverage AI for better outcomes.

Job description
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
About Aunalytics
Sourced by ZipRecruiter
Industry
Computing infrastructure providers, data processing, web hosting
Company size
11 - 50 Employees
Headquarters location
Notre Dame, IN, US
Year founded
2011