Top Artificial Intelligence Data & Analytics Jobs in Nashville, TN

Reposted One Month AgoSaved
Remote or Hybrid
4 Locations
130K-210K Annually
Mid level
130K-210K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.
Top Skills: RStatistical Software
Reposted One Month AgoSaved
In-Office or Remote
2 Locations
90K-134K Annually
Mid level
90K-134K Annually
Mid level
Artificial Intelligence • Fintech • Software
The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.
Top Skills: Ai AgentsAPIsErp SystemsIntacctMicrosoft DynamicsNetSuiteSQLUipath
One Month AgoSaved
Remote or Hybrid
United States
140K-160K Annually
Senior level
140K-160K Annually
Senior level
AdTech • Agency • Artificial Intelligence • Digital Media • Marketing Tech • Social Media • PropTech
Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.
Top Skills: Ai-Assisted Development ToolsBigQueryCubeDataformDbtDbt Semantic LayerFivetranGitHexLightdashLookerLookmlMetabaseMetricflowOmniPrefectPythonReverse EtlSigmaSnowflakeSQLSqlmeshTableau
Reposted 26 Days AgoSaved
Remote
US
Senior level
Senior level
Artificial Intelligence • Information Technology • Internet of Things • Software • Automation
The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.
Top Skills: ExcelFacetsMs ProjectPowerPointRelational DatabaseVisioWord
YesterdaySaved
Remote
USA
150K-185K Annually
Mid level
150K-185K Annually
Mid level
Aerospace • Artificial Intelligence • Defense
Build and operate scalable data infrastructure and pipelines for video, imagery, telemetry, sensor, log, and mission data. Create searchable data lakes, curated and versioned ML datasets, labeling workflows, quality checks, lineage, monitoring, and reproducible dataset-generation processes. Partner with autonomy, perception, software, simulation, and field teams to support model training, evaluation, debugging, replay, and deployment workflows.
Top Skills: AirflowSparkDagsterDockerKafkaKubernetesPostgresPythonRayS3-Compatible StorageSQL
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YesterdaySaved
Remote
4 Locations
34-34 Hourly
Entry level
34-34 Hourly
Entry level
Artificial Intelligence • HR Tech • Professional Services • Software
Annotate Korean PDF pages by identifying, bounding, typing, and ordering document regions; link related components; transcribe Hangul, hanja, and handwriting exactly; capture page metadata; and flag illegible or unsuitable pages. Experienced annotators also review colleagues’ work. The role requires exceptional character-level accuracy, consistent taxonomy application, and comfort with complex layouts such as tables, diagrams, newspapers, exams, and handwritten forms.
Top Skills: HangulHanjaOcrPdfUnicode
YesterdaySaved
Remote
4 Locations
34-34 Hourly
Entry level
34-34 Hourly
Entry level
Artificial Intelligence • HR Tech • Professional Services • Software
Annotate Japanese PDF pages by identifying, bounding, typing, and ordering document regions; link related components; transcribe all text exactly, including handwritten and vertically arranged content; capture metadata; and flag illegible or unsuitable pages. Experienced annotators also review colleagues’ work. Native Japanese fluency and command of kanji, hiragana, katakana, furigana, and variant characters are essential.
Top Skills: Japanese Input MethodsOcrPdfUnicode
2 Days AgoSaved
Remote or Hybrid
2 Locations
130K-185K Annually
Senior level
130K-185K Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services
Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.
Top Skills: Dnp3GoKafkaModbusMqttOpc UaPythonTrino
Reposted 2 Days AgoSaved
Remote
United States
Entry level
Entry level
Agency • Artificial Intelligence • Marketing Tech • App development
Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.
Top Skills: Google DocsGoogle SheetsZoom
2 Days AgoSaved
In-Office or Remote
7 Locations
Senior level
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software • App development • Conversational AI • Generative AI
Develop and optimize marketing reports, monitor product and advertising campaign KPIs, integrate and visualize data, investigate performance deviations, analyze campaigns, and recommend improvements. The role requires strong Google Sheets skills, basic SQL, A/B testing, mathematical statistics, and English proficiency. Python, web analytics, Google Ads, and BI experience are preferred. This is a fully remote position.
Top Skills: A/B TestingGoogle AdsGoogle AnalyticsGoogle SheetsGoogle Tag ManagerMathematical StatisticsMs SqlPythonSupersetTableau
2 Days AgoSaved
Remote
United States
Entry level
Entry level
Artificial Intelligence • Big Data • Machine Learning • Software
Manage end-to-end data operations, including collection, processing, delivery, pipeline optimization, and data quality monitoring. Collaborate with engineering, product, and operations teams to improve data workflows, identify inefficiencies, and implement scalable solutions. Analyze data to provide actionable insights for decision-making and AI model development while communicating technical issues to non-technical stakeholders.
Top Skills: PythonSQL
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