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Applied Analytics Jobs Near Me

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Marketing Analytics Manager

Columbus, OH · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Varsity Tutors

Applied Mathematics Tutor

Columbus, OH · Remote

$18 - $40/hr

... analysis, partial differential equations, and complex analysis. Ability to explain modeling ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

The Hartford

AVP Applied AI, Small Business

Columbus, OH · On-site +1

... analysis, and incident response expectations. Ensure evaluation results inform prioritization ... Applied understanding of unstructured data and retrieval approaches, including document ingestion ...

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How much do applied analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for applied analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.
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A map of the United States highlighting the number of Applied Analytics job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Applied Analytics job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Forward Deployed Engineer

Tata Consultancy Service Limited

Milford Center, OH • On-site

$120K - $160K/yr

Full-time

Re-posted 8 days ago

Job description

Must-Have Skills
  • Strong AI/ML engineering and software development experience
  • Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
  • Experience building agentic AI workflows, copilots, and intelligent agents
  • Hands-on implementation of RAG systems and vector databases
  • Strong prompt engineering skills and applied analytics knowledge
  • Ability to integrate AI solutions with enterprise systems
  • Experience with middleware, orchestration layers, and API integrations
  • Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
  • Strong problem-solving, debugging, and rapid prototyping ability
  • Excellent communication and stakeholder management skills
  • Ability to thrive in fast-paced, ambiguous environments with ownership mindset

Key Responsibilities
  • Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
  • Build prototypes, POCs, and production-grade AI applications rapidly
  • Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
  • Integrate LLMs with enterprise platforms and build middleware layers
  • Create intelligent copilots, multi-modal demos, and automation workflows
  • Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
  • Implement monitoring, evaluation, and human-in-the-loop frameworks
  • Work directly with clients to gather requirements and design AI solutions
  • Lead technical discussions, discovery workshops, and solution demos
  • Act as a bridge between business stakeholders and engineering teams

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