Data Scientist

• Frame ambiguous revenue-cycle problems as tractable modeling problems and own them end to end such as claim and invoice viability scoring, denial and underpayment prediction, revenue/ARR prediction, and work prioritization from hypothesis to a validated, monitored result in production
• Build and validate models with statistical rigor: thoughtful feature design, sound handling of missingness and class imbalance, calibration, honest evaluation against simple baselines, and a clear treatment of uncertainty
• Design, build, and maintain the data pipelines feeding these models integrating with source collections, billing, and EHR systems and internal data stores, and handling data collection, cleansing, field mapping, and payer/plan normalization with a bias toward reliability and data quality
• Establish and own MLOps practice: model monitoring and drift detection (e.g., population stability), calibration and threshold selection, benchmarking against simple baselines, explainability (e.g., SHAP and interpretable coefficients), experiment and version tracking, and model documentation such as model cards
• Partner with subject-matter experts to encode business-rule and heuristic logic alongside statistical models where that produces a more accurate or more defensible result
• Gather and document business requirements for revenue-cycle initiatives, including workflows, decision points, stakeholder objectives, operational constraints, success criteria, data availability, and underlying business assumptions, and maintain traceability as those requirements evolve.

Senior AI Data Scientist

• Responsible for mining big data, interpreting and analyzing complex data sets
• Develops and deploys predictive models to analyze company performance and improve customer experiences
• Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
• Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

• Lead a team within the Transfer Agency
• Ensure accurate, timely, and efficient delivery of data reporting to both internal stakeholders and external clients
• Build and maintain advanced Excel data models using Power Pivot and the Excel Data Model
• Create DAX measures, calculated columns, and KPIs for business reporting
• Use Power Query to automate data extraction, transformation, and consolidation from multiple sources
• Develop interactive dashboards and executive reports in Excel
• Improve existing spreadsheets by increasing automation, accuracy, and efficiency
• Troubleshoot and optimize complex Excel workbooks
• Integrate data from databases, flat files, APIs, and other systems
• Identify opportunities to automate manual reporting and business processes

Manager, Data Reporting

• Apply advanced analytics and machine learning to mission problems for the National Geospatial-Intelligence Agency (NGA)
• Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage
• Collaborate directly with analysts and mission users to shape analytic capabilities from concept to deployment
• Lead data science practices within a multi-team Agile delivery environment
• Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment
• Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences
• Collaborate with mission analysts to translate analytical requirements into deployed software capabilities
• Integrate analytic capabilities with program systems and services in coordination with development teams
• Evaluate model performance, drive iterative improvement, and document methodologies
• Mentor mid-level data scientists and promote analytic best practices across the program

Senior Data Scientist

• Ensure quality and data reconciliation
• Attend and participate in sponsor meetings
• Manage all data management deliverables for assigned studies
• Keep supervisor informed of project status
• Review data and identifying errors/inconsistencies
• Collaborate with appropriate project team to resolve data issues
• Track outstanding issues and following-up until resolution
• Ensure accuracy in manipulation and scrutiny of clinical data

Clinical Data Manager

• Develop, implement, and maintain data governance frameworks specific to AI initiatives
• Collaborate with cross-functional teams to design, deploy, and optimize AI solutions
• Monitor emerging AI technologies and regulatory changes
• Facilitate communication among technical teams, program managers, and government stakeholders
• Lead risk assessment and mitigation efforts related to AI data privacy

Artificial Intelligence Solutions Lead, Data Governance

• Lead conversations about our metrics and dashboards, and leverage multi-sourced data and analytics principles to give answers to our team on how we can optimize our data and programs
• Understand the connection between all of our data sources and how to pull them together in fact and dimension models
• Build and cultivate a positive relationship between teams where metrics and goals are aligned
• Provide data-driven recommendations to help teams across the business be more efficient and successful

Principal, Central Analytics Lead

🌐
Worldwide
❌ Jobs You've Hidden
⭐️ Saved Jobs
✅ Applied Jobs
✉️ Email Alerts
👤 Account
404 - Page Not Found
🌐
Worldwide
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com
Search
Search Jobs by country
Search jobs by city
Search jobs by job title
Search entry-level jobs
Search junior-level jobs
Search senior-level jobs
Search jobs by tech stack
Search jobs by contract type
Search remote internships
Search remote part-time jobs
Remote jobs Anywhere in the World
Companies Hiring Anywhere in the World
Companies Hiring Sales People Anywhere in the World
Companies Hiring Software Engineers Anywhere in the World
Resources
Advice
Tips for finding remote jobs
Interview questions and answers
Resume examples
Cover letter examples
Post a job
Affiliates
Privacy policy
Terms of service
Job board SEO course
AI Apply Copilot
OpenClaw job finder
Jobs by Country
Remote jobs anywhere in the world (Worldwide remote jobs)
Remote jobs United States
Remote jobs Australia
Remote jobs Brazil
Remote jobs Canada
Remote jobs France
Remote jobs Ireland
Remote jobs Germany
Remote jobs Netherlands
Remote jobs Spain
Remote jobs UK
Popular Jobs
Remote data analyst jobs
Remote customer support jobs
Remote executive assistant jobs
Remote marketing jobs
Remote product designer jobs
Remote product manager jobs
Remote project manager jobs
Remote recruiter jobs
Remote sales jobs
Remote software engineer jobs
Jobs by Type
Remote full-time jobs
Remote part-time jobs
Remote contract jobs
Remote internship jobs
Remote entry-level jobs
Remote jobs with no experience required
Remote junior jobs (1-3 years of experience)
Digital nomad jobs
Remote jobs with no degree required
Freelance remote jobs
Temporary remote jobs
Remote jobs hiring now
Stay at home mom jobs

Lead Technology Strategy, Investment Analytics

• Advise clients on end-to-end solutions across data strategy, data management, and data quality.
• Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations.
• Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies.
• Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs.
• Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity.
• Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments.
• Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization.
• Advise clients as a trusted partner and provide thought leadership on data governance, data management, cloud transformation, AI readiness, and related best practices.
• Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.

Data Strategy and Governance Manager

• Work closely with enterprise and business unit stakeholders to embed privacy in strategic initiatives during the design and execution phases
• Support the implementation, monitoring, and testing of our global privacy controls framework
• Assist in developing and maintaining policies, standards, and procedures that support global privacy program objectives and emerging benchmarks
• Conduct rigorous privacy impact (PIAs) and control assessments on applications, products, and processes to evaluate compliance with laws, regulations, and internal standards
• Monitor and track privacy and data protection regulatory frameworks (e.g., GDPR, CCPA/CPRA) to continually update and improve our program
• Enable the responsible use of artificial intelligence (AI) and machine learning through automated governance processes
• Contribute to, support, and deliver privacy-specific training and awareness materials across the organization
• Research and respond to complex privacy-related inquiries from business units, customers, or regulatory agencies
• Manage data privacy program metrics, KPIs, and reporting, including delivering comprehensive readouts and updates to Senior Leadership

Data Privacy Lead

• Drive Data Licensing revenue growth
• Generate and convert new data licensing opportunities
• Build and manage a high-value pipeline across direct customers and data marketplaces
• Consistently meet or exceed sales targets
• Bring an existing network and open doors quickly
• Leverage established relationships across the data licensing ecosystem
• Engage senior stakeholders at organizations that purchase, aggregate, or monetize data
• Structure and execute complex, non-standard deals
• Design flexible commercial models (e.g., licensing, revenue share, risk-sharing, hybrid arrangements)
• Navigate non-standard deal structures that align incentives across parties
• Drive deals forward in ambiguous or evolving situations
• Lead sophisticated contract negotiations
• Serve as the primary commercial owner of contract discussions, including NDAs, MSAs, SOWs, and data licensing agreements
• Interpret and negotiate key terms related to data rights, IP, privacy, resale, and downstream use
• Exercise strong judgment in distinguishing business versus legal decisions
• Act as a market expert and internal thought partner
• Deliver real-time insights on market dynamics, pricing models, and competitive positioning to leadership
• Shape product strategy and roadmap based on direct client and market feedback
• Partner closely with product, legal, and operations to evolve offerings
• Operate independently in a fast-moving environment
• Navigate ambiguity, shifting priorities, and emerging opportunities
• Maintain strong forecasting, pipeline discipline, and execution rigor

Data Licensing Sales Lead, Intelligence Solutions

• Establishing trust with key stakeholders to secure long-term partnerships.
• Understanding client needs to propose solutions that ensure their success and expand account value.
• Serving as the key link between clients and internal teams (marketing, sales, support) to meet deadlines.
• Negotiating contracts, managing budgets, and preparing regular reports on account progress.
• Acting as the first point of escalation to solve issues and maintain satisfaction.
• Holding meetings with c-level executives externally and internally.

National Account Manager, Data Center Colocation

• Lead the design and delivery of advanced data science solutions that align to business and clinical priorities
• Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive measurable outcomes
• Translate complex data into clear insights and recommendations for business and technical stakeholders
• Partner with cross-functional teams (IT, Clinical, Operations) to deliver end-to-end analytics solutions
• Apply advanced analytical methods including segmentation, regression, and time-series analysis to solve business problems
• Create scalable data pipelines and leverage big data technologies to support analytics initiatives
• Present findings to senior leaders to influence strategy and decision-making
• Provide thought leadership and mentor others on data science best practices and emerging technologies

Data Science Advisor

• Design, develop, and deploy ML solutions ranging from traditional ML applications (classification, clustering, recommendations) to LLM-based systems, including document parsing, data extraction, RAG pipelines, and LLM agents
• Write clean, maintainable, production-quality Python code that integrates smoothly with existing engineering and deployment infrastructure
• Work with large datasets to clean, preprocess, and analyze data, ensuring data quality and integrity
• Implement and optimize algorithms using best practices in machine learning, deep learning, and statistical analysis
• Collaborate with business stakeholders to understand requirements and deliver data-driven solutions that provide actionable insights
• Develop and maintain scalable pipelines and infrastructure for data processing and model training, versioning, deployment, and monitoring
• Evaluate the performance of machine learning models, including LLM-specific evaluation approaches, and tune models for optimal performance
• Communicate findings, insights, and model performance to both technical and non-technical audiences
• Continuously stay updated on the latest trends, technologies, and best practices

Machine Learning Engineer, Data Scientist

• Collaborate and communicate with all levels of management to provide reporting and critical information.
• Creates analysis and visualization materials for business data, metrics, and measures.
• Designs, validates, and schedules queries and reports in various databases and reporting environments.
• Works closely with end users and management to evolve, improve, and automate existing data processes.
• Develops specifications, documentation, and end user materials.
• Documents and maps existing and desired business processes.
• Deploys reports, SQL database objects, and applications to on-premises and cloud environments.

Enterprise Data Lead Analyst

• Designs and develops scalable solutions using AI tools and machine-learning models.
• Performs research and testing to develop machine learning algorithms and predictive models.
• Utilizes big data computation and storage tools to create prototypes and datasets.
• Conducts model training and evaluation.
• Integrates, tests, tunes, and monitors solutions.
• Participates in model brainstorming conversations with new potential internal customers interested in AI/ML capabilities.
• Works alongside internal customers that are requesting AI/ML capabilities to understand overall business objective & impact.
• Analyzes use cases of ML algorithms and apply findings to enable business decisions.
• Writing moderately complex SQL and Python/R code to extract data from various databases and data sources.
• Explores and visualizes data to gain an understanding and verify data quality.
• Conduct exploratory data analysis from complex data sources and build key data sets to support operational analysis.
• Builds ML/AI models using common methods within R and Python.
• Analyzes ML algorithms that could solve a problem and ranks them by success probability.
• Analyzes errors of the model and designs strategies to overcome them.
• Develop logging, alerting, and mitigation strategies for handling model errors.
• Develop AI/ML models to distinguish relevant content or events and recognize patterns.
• Designs and develops AI/ML models to predict member outcomes.
• Evaluate and design experiments to monitor key model metrics and identify improvement opportunities.
• Participate in presentations and communicate research analysis results to non-technical business partners.
• Produces fairness review for each model to ensure it's free of bias.
• Set up CI/CD pipelines used for model automation.
• Model deployment with containers such as Kubernetes and Docker.
• Produces clean & readable code that has been properly unit tested and optimized.

Senior Data Scientist, IT

• Apply machine learning and natural language processing to financial crime challenges
• Develop a thorough understanding of the business landscape
• Navigate intricate scenarios to enhance personal and technical growth
• Leverage SQL and Python for data analysis and problem-solving

Senior Associate, AML and Sanctions – Data Scientist

• Develop and own rigorous study designs and measurement plans for CAHPS & HOS interventions, pilots, and programs
• Build, maintain, and scale lightweight A/B testing frameworks to facilitate rapid, consistent experimentation and learning
• Create and maintain a centralized inventory of experiments, insights, and learnings to support organizational knowledge and strategy
• Partner with operations teams and external vendors to ensure methodological integrity and effective, continuous measurement
• Conduct early and consistent evaluation of causal impact, ensuring actionable insights are generated and communicated to stakeholders
• Iterate on study and measurement approaches to accelerate feedback loops and reduce uncertainty in decision-making

Lead Data Scientist – Experimentation

• Acquire, clean and develop datasets from internal and external sources to support business analysis and reporting
• Acquire, validate, store, protect, and adhere to processes around data to ensure the accessibility, reliability, and timeliness of the data for its users
• Develop and execute data architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise
• Identify opportunities for process improvements
• Coordinate with other teams to ensure all aspects of data needs are taken into account
• Prepare data for reporting and analysis including visualizations to support business requirements

Senior Data Manager

• Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
• Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
• Audit existing datasets for accuracy, reliability and consistency
• Advise senior team members to identify data models and algorithms to apply to unique client problems
• Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
• Coordinate with internal and client data engineering teams to implement models and supervise outcomes
• Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
• Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
• Other duties as assigned

Data Scientist jobs in Montana

See all jobs on JobTailor

Senior AI Data Scientist

Data Scientist

Manager, Data Reporting

Senior Data Scientist

Clinical Data Manager

Artificial Intelligence Solutions Lead, Data Governance

Principal, Central Analytics Lead

Lead Technology Strategy, Investment Analytics

Data Strategy and Governance Manager

Data Privacy Lead

Data Licensing Sales Lead, Intelligence Solutions

National Account Manager, Data Center Colocation

Data Science Advisor

Machine Learning Engineer, Data Scientist

Enterprise Data Lead Analyst

Senior Data Scientist, IT

Senior Associate, AML and Sanctions – Data Scientist

Lead Data Scientist – Experimentation

Senior Data Manager

Data Scientist