Data Analyst 3 – AI Solutions

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $84k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

TSPi

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

🏛️ Government

Consulting • Healthcare • Government

TSPi is a small business IT services firm that designs and implements enterprise IT solutions to improve efficiency, increase performance, and accelerate customer success. The company focuses on application modernization, low-code platforms, cloud and DevOps architecture, and loans origination/management solutions for public sector clients. TSPi holds multiple federal contract vehicles (GSA MAS, CIO‑SP3, NASA SEWP V), maintains ISO and CMMI certifications, and operates as a value‑added reseller and incubator to accelerate government IT transformation.

📋 Description

• Support the design, development, testing, and implementation of AI, machine learning, and advanced analytics solutions addressing client needs in healthcare, public health, and justice systems • Build, test, and refine predictive models, natural language processing solutions, and generative AI applications under senior technical staff guidance • Develop prototypes, proofs of concept, and practical applications using modern AI technologies • Apply large language models, retrieval-augmented generation, agentic AI concepts, and machine learning techniques to business and program challenges • Contribute to data pipelines, model evaluation approaches, and analytical workflows supporting reliable and scalable government-data solutions • Follow and contribute to responsible AI practices, including model testing, validation, documentation, governance, and risk mitigation • Collaborate with project teams and clients to identify AI and advanced analytics opportunities • Translate business requirements into technical options, analytical approaches, and solution designs • Participate in solutioning sessions, demonstrations, workshops, and discovery activities • Communicate technical concepts and analytical findings to technical and non-technical audiences • Support implementation, testing, user feedback, and adoption of AI-enabled tools and solutions • Apply data science and AI techniques to health, public health, healthcare, and global health challenges • Analyze structured and unstructured data to generate insights and improve organizational performance • Support AI-enabled approaches for epidemiological analytics, program monitoring and evaluation, healthcare operations, knowledge management, research synthesis, workflow automation, and decision support • Support proposal development and capture efforts with technical concepts, solution inputs, and innovation ideas • Contribute to demonstrations, prototypes, white papers, concept notes, technical presentations, and thought leadership materials • Monitor emerging AI technologies and help develop reusable AI assets, accelerators, templates, and solution frameworks • Stay current on AI, machine learning, and data science developments • Share knowledge and collaborate across health, research, engineering, software development, and business development disciplines

🎯 Requirements

• Bachelor's Degree plus five years of relevant experience, or Master's Degree plus three years of relevant experience • Degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Bioinformatics, Health Informatics, or a related quantitative field • Applied experience developing, testing, or improving machine learning, artificial intelligence, or advanced analytics solutions in professional or project-based environments • Proficiency programming in Python and using common data science libraries and frameworks • Experience preparing, analyzing, and interpreting structured and unstructured data sources • Ability to explain analytical methods, findings, and technical tradeoffs to both technical and non-technical audiences • Demonstrated problem-solving and critical-thinking skills • Experience working collaboratively in multidisciplinary teams • Working knowledge of generative AI technologies, such as LLMs, prompt engineering, retrieval-augmented generation, or AI agents • Familiarity with cloud environments such as Azure, AWS, or Google Cloud • Familiarity with MLOps, model evaluation, model deployment concepts, and software engineering best practices • Experience or demonstrated interest in applying analytics, AI, or data science to healthcare, public health, global health, or health research programs • Experience contributing technical inputs, prototypes, or solution ideas for proposals, capture efforts, or new business opportunities • Familiarity with health data standards, healthcare analytics, digital health ecosystems, or related health data environments • Experience developing or supporting client-facing dashboards, analytical products, decision-support tools, or similar data products