PERMANENT

FULL_TIME

ADAPTED_NOW

YEAR

As a Data Scientist on our team, you will work at the intersection of time-series analytics, machine learning, and engineering domain-knowledge, turning field equipment sensor data, time-series telemetry, and operational data into actionable insights – designing and deploying production-grade solutions for predictive maintenance and anomaly detection across our customers’ industrial environments. You will partner directly with engineering, product, and domain experts to translate business and operational challenges into scalable, production-ready data science solutions that drive measurable impact on reliability, efficiency, and revenue – with direct visibility into how your work reduces downtime and keeps critical operations running.

Role Information:<ul><li style="text-align:justify">Job Title: Sr. Data Scientist- Industrial Industry Focused</li><li style="text-align:justify">Work Location: Fully remote position, home office</li><li style="text-align:justify">Employment Type: Full-time</li><li style="text-align:justify">Employment Status: Exempt, salaried</li><li>Visa sponsorship is not available for this position.</li><li>Must reside in the United States.</li><li>We are not accepting applicants for remote workers in California, Illinois, and New York at this time.</li></ul>Compensation:$98,837 - $154,546, depending on years of experience Role Overview: We are building the intelligence layer for industrial operations – transforming raw sensor telemetry, time-series data, and field equipment signals into predictive diagnostics that keep critical assets running. As a Data Scientist on our team, you will work at the intersection of time-series analytics, machine learning, and engineering domain-knowledge, turning field equipment sensor data, time-series telemetry, and operational data into actionable insights – designing and deploying production-grade solutions for predictive maintenance and anomaly detection across our customers’ industrial environments. You will partner directly with engineering, product, and domain experts to translate business and operational challenges into scalable, production-ready data science solutions that drive measurable impact on reliability, efficiency, and revenue – with direct visibility into how your work reduces downtime and keeps critical operations running. We actively support team members to publish, present, and contribute to the industrial AI community. Key Responsibilities:<ul><li>Design, develop, train, and deploy machine learning and AI models that process and analyze field equipment sensor data (time-series IoT, embedded device telemetry) alongside structured and unstructured datasets.</li><li>Build and refine predictive, prescriptive, and anomaly detection models using techniques such as regression, time-series forecasting, classification, clustering, and deep learning to support real-time or near-real-time decision-making.</li><li>Perform exploratory data analysis (EDA), data preprocessing, feature engineering/signal processing, and feature extraction on high-volume, noisy sensor data and multimodal datasets to surface patterns, correlations, and actionable insights.</li><li>Contribute to end-to-end AI workflows, including automated data ingestion, model training pipelines, inference at the edge or in the cloud, and continuous monitoring for model drift and performance degradation.</li><li>Apply statistical modeling, hypothesis testing, and experimentation methods (A/B testing, causal inference where applicable) to validate model performance and ensure robustness in dynamic operational environments.</li><li>Support the development and maintenance of reproducible, scalable ML pipelines using MLOps best practices, including model versioning, retraining, deployment (including edge/embedded constraints), and lifecycle management.</li><li>Collaborate with engineering, product, and domain experts to translate business problems (e.g., predictive maintenance, fault detection, process optimization) into well-defined data science solutions.</li><li>Perform data cleansing, validation, and collation activities to ensure models are accurate, reliable, and aligned with real-world operating conditions.</li><li>Solve complex technical challenges related to analytical toolsets that support engineering and operational decision-making.</li><li>Communicate technical findings, model performance metrics, and business value to internal stakeholders through clear visualizations, written reports, and presentations.</li><li>Explore and evaluate emerging techniques (e.g., generative AI for synthetic sensor data, edge AI optimization, multimodal data fusion) and recommend incorporation into production workflows where appropriate.</li><li>Assist in formulating and managing data-driven project requirements aligned with business needs and strategic company goals.</li><li>Provide subject matter input on analytical tools and methods to cross-functional product development teams.</li><li>Work with software and business development teams to support revenue opportunities tied to data science initiatives and product/service enhancements.</li><li>Support internal resources involved in research, product development, and ongoing production of data analytics deliverables.</li></ul> Required Qualifications:<ul><li>Bachelor's degree in Engineering required; Mechanical, Electrical, Chemical, or Aerospace strongly preferred. Formal training or demonstrated proficiency in data science, machine learning, and applied analytics required.</li><li>5+ years of professional experience in data science, machine learning, signal processing, and applied analytics; Master’s or PhD in a relevant field may substitute for up to 2 years of required experience.</li><li>Direct industry experience required in one or more of the following sectors: Power Generation, Oil & Gas, Aerospace, Pulp & Paper, Manufacturing, or similar industries.</li><li>Demonstrated experience working with time-series data, sensor data, and operational/IoT data within an industrial environment.</li><li>Has independently owned at least one ML model from prototype through production, including monitoring and retraining in a live environment.</li><li>Experience supporting use cases such as predictive maintenance, fault/anomaly detection, asset health monitoring, or process optimization.</li><li>Proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), SQL, time-series databases (InfluxDB, TimescaleDB, Snowflake), and visualization tools (Power BI, Tableau, Plotly).</li><li>Hands-on experience with time-series modeling techniques (e.g., ARIMA, Prophet, LSTMs, transformers for sequence data).</li><li>Practical experience with anomaly detection methods on streaming or batch sensor data.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices including MLflow, Airflow, Docker, and CI/CD pipelines.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Excellent written and verbal communication skills, with the ability to present complex findings to non-technical audiences.</li><li>Effective collaborator across engineering, product, and business teams.</li><li>Self-motivated and capable of managing multiple priorities in a fast-paced environment.</li><li>Active contributes to the broader data science and industrial AI community through open-source projects, technical publications, conference presentations, or patents; a track record of knowledge sharing is valued and supported.</li></ul> Preferred Qualifications:<ul><li>Master's or PhD degree in Data Science, Engineering (Electrical, Mechanical, or Chemical), or a related quantitative discipline.</li><li>Background in reliability engineering, condition monitoring, or asset performance management.</li><li>Familiarity with causal inference techniques applied to operational or process data.</li><li>Experience working with multimodal data fusion (e.g., combining sensor data with images, text logs, or maintenance records).</li><li>Experience deploying ML models to edge or embedded devices with compute and memory constraints.</li><li>Familiarity with industrial communication protocols and data sources (e.g., OPC UA, Modbus, MQTT, SCADA, historians such as OSIsoft PI).</li><li>Exposure to digital twin concepts, physics-informed machine learning, or hybrid modeling approaches that combine first-principles engineering models with data-driven methods.</li><li>Experience with generative AI techniques, including the use of synthetic data generation for sensor and operational datasets.</li></ul> Other Qualifications:<ul><li>Successfully pass background check for cybersecurity access requirements.</li></ul>Cybersecurity Role Expectations:<ul><li>Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.</li><li>Candidate is expected to maintain a cybersecure work environment.</li></ul>Benefits:<ul><li style="text-align:justify">Paid Time Off</li><li style="text-align:justify">Medical, Vision, Dental Insurance</li><li style="text-align:justify">Health Savings Account with Employer contributions</li><li style="text-align:justify">401(k) with Employer match</li><li style="text-align:justify">Short-term & Long-term Disability Coverage</li><li style="text-align:justify">Accidental Death & Dismemberment Coverage</li><li style="text-align:justify">Life Insurance Coverage</li><li style="text-align:justify">Eight paid holidays per year</li><li style="text-align:justify">All other benefits required by applicable law</li></ul>Alignment with Corporate ValuesAll Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.<ul><li>Learn more about Cutsforth here: <a href="https://www.cutsforth.com/about-us/about-cutsforth/" rel="noopener noreferrer nofollow" style="color:rgba( 66 , 139 , 202 , 1 );font-family:'arial' , 'helvetica' , sans-serif" target="_blank">Cutsforth.com/About</a></li><li>Read our Mission & Values here: <a href="https://www.cutsforth.com/about-us/mission-values/" rel="noopener noreferrer nofollow" style="color:rgba( 66 , 139 , 202 , 1 );font-family:'arial' , 'helvetica' , sans-serif" target="_blank">Cutsforth.com/Values</a></li></ul>Equal Employment Opportunity Statement:Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.For Cutsforth's full Equal Employment Opportunity Policy, click here: <a href="https://www.cutsforth.com/wp-content/uploads/2024/07/2024-Notice-to-Employees-Applicants.pdf" rel="noopener noreferrer nofollow" style="color:rgba( 66 , 139 , 202 , 1 );font-family:'arial' , 'helvetica' , sans-serif" target="_blank">EEO Notice to Employees & Applicants</a>

Cutsforth, LLC

Sr. Data Scientist - Industrial Industry Focused

A/B Testing

Accidental Death and Dismemberment (AD&D)

Aerospace and Defense

Affirmative Action

Amazon Web Services (AWS)

Analysis Skills

Artificial Intelligence (AI)

Asset Management

Background Investigation

Best Practices

Business Development

Business Operations

Business Strategy

Cloud Computing

Communication Skills

Communications Protocols

Continuous Deployment/Delivery

Continuous Improvement

Continuous Integration

Cross-Functional

Data Analysis

Data Fusion

Data Management

Data Modeling

Data Processing

Data Science

Data Sets

Deep Learning

Dental Insurance

Detail Oriented

Docker

Electrical Engineering

Electricity

Embedded Systems

Forecasting

GCP (Good Clinical Practices)

Internet Security

Internet of Things

Leadership

Legal

Machine Learning

Manufacturing

Memory Hardware

Microsoft Windows Azure

Model Validation

Multitasking

Oil and Gas

Open Source

Operational Support

Operations Processes

Patents

People Management

Performance Management

Performance Metrics

Performance Modeling

Physics

Policy Development

Power BI

Power Generation

Presentation/Verbal Skills

Problem Solving Skills

Procedure Development

Process Improvement

Process Modeling

Product Development

Production Control

Prototyping

Python Programming/Scripting Language

Quality Assurance Methodology

Record Keeping

Reliability Engineering

Reporting Skills

SQL (Structured Query Language)

Signal Processing

Snowflake Schema

Software Development

Statistical Modeling

Supervisory Control and Data Acquisition (SCADA)

Tableau

Technical Publications

Technical Support

Telemetry

Time Series Analysis

Use Cases

Vision Plan

Writing Skills

monster

AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. What You Bring to Cambia: Qualifications and Certifications: * The AI Scientist II would have a degree (master's or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics.

AI Scientist II (Healthcare) Hybrid (Office 3 days/wk - Onsite-Flex) within Oregon, Washington, Idaho or Utah Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. Who We Are Looking For: Every day, Cambia's Applied AI Team is living our mission to make health care easier and lives better. AI Scientists work with various stakeholders to design, develop, and implement data-driven solutions. This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain. AI Scientists work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization. In addition to expertise in generative AI, machine learning, deep learning and analytics this role requires knowledge of data systems, basic software development best practices, and algorithm design. AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. If you're a motivated and experienced AI Scientist looking to make a difference in the healthcare industry, apply for this exciting opportunity today! What You Bring to Cambia: Qualifications and Certifications: * The AI Scientist II would have a degree (master's or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics * 4 years of related work experience * Equivalent combination of education and experience Skills and Attributes (Not limited to): * Demonstrated knowledge of generative AI, machine learning and data science. * Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models. * Effective in time and task management. * Able to develop productive working relationships with colleagues and business partners. * Strong interest in the healthcare industry. * Ability to code effectively in and create novel features and datasets using SQL or SQL-like languages. * Ability to write clean, well-commented, efficient Python code. * Strong understanding of techniques for working with noisy, high-dimensional, sparse, and/or imbalanced data. * Demonstrates in-depth familiarity with at least one domain of data (e.g, claims data). * Demonstrates depth of understanding in at least one major AI modeling technique or approach. * Ability to develop new AI pipelines for both offline testing and online serving of models. * Demonstrated track record of delivery of AI and machine learning models to solve well-defined business problems. * Has working knowledge of department processes, procedures, and infrastructure. * Able to identify common pitfalls in developing AI and ML models (e.g, data leakage across features or partitions) * Ability to translate business requirements into data science and AI discovery plans and modeling objectives. * Ability to articulate the high-level business objectives of their work. * Performs a range of data science tasks with a moderate level of guidance and direction. * Ability to partner within and across departments to remove blocks and achieve results. Co To view the full job description, <a href="https://www.aplitrak.com/?adid=YmJnZW5lcmljLjc2NTk0Ljg3NjlAY2FtYmlhaGVhbHRoY29tcC5hcGxpdHJhay5jb20" rel="nofollow">click here</a>

Cambia Health Solutions is a family of companies headquartered in Portland, Oregon, working to create a person-focused and economically sustainable health care system. 

Through our health plans, innovative technology and strategic investments, we are delivering consumer-centric solutions that:

•       help people achieve better health and well-being 
•       make health care more available, affordable and accessible 
•       are easily understood by everyone

We put people at the heart of everything we do. Our company reaches more than 70 million Americans nationwide, including more than two million people in the Pacific Northwest who are enrolled in our regional health plans.  

Cambia Health Solutions

AI Scientist II (Healthcare)

Algorithms

Bioinformatics

Business Model

Business Skills

Clinical Medicine

Computer Science

Computer Security

Customer Experience

Econometrics

Health Economics

Healthcare

Mathematics

Operations Research

Product Engineering

Requirements Management

Statistics

Systems Maintenance

Team Player

Time Management

AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. What You Bring to Cambia: Qualifications and Certifications: * Bachelor's degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics.

AI SCIENTIST I (HEALTHCARE) Hybrid (Office 3 days/wk - Onsite-Flex) within Oregon, Washington, Idaho or Utah Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. Who We Are Looking For: Every day, Cambia's Applied AI Team is living our mission to make health care easier and lives better. AI Scientists work with various stakeholders to design, develop, and implement data-driven solutions. This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain. AI Scientists work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization. In addition to expertise in generative AI, machine learning, deep learning and analytics this role requires knowledge of data systems, basic software development best practices, and algorithm design. AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. If you're a motivated and experienced AI Scientist looking to make a difference in the healthcare industry, apply for this exciting opportunity today! What You Bring to Cambia: Qualifications and Certifications: * Bachelor's degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics * 0-3 years of related work experience * Equivalent combination of education and experience Skills and Attributes (Not limited to): For all levels: * Demonstrated knowledge of generative AI, machine learning and data science. * Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models. * Effective in time and task management. * Able to develop productive working relationships with colleagues and business partners. * Strong interest in the healthcare industry. Core Knowledge: * Generative AI:Understanding of foundation models, transformer architectures, and techniques for working with large language models (LLMs). Experience with prompt engineering, fine-tuning approaches, and evaluation methods for generative models. * Machine Learning:Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc. (see below). Demonstrated understanding of how to structure simple machine learning pipelines (e.g, has prepared datasets, trained and tested models end-to-end). * Data:Strong foundation in data analysis. * Programming:Strong python programming skills. Familiarity with standard data science packages. Familiarity with standard software development best practices. Strong SQL skills a plus. * Algorithms:Understanding of standard algorithms and data structures (ex. search and sort) and their analysis. * Core Knowledge Details and Examples (meant to be representative, not exhaustive; entry level roles are expected to have hands-on experience training and testing AI models, solid mathematical understanding and computer science fundamentals) Generative AI * Large Language Models (LLMs) and their capabilities (e.g, in-context learning, few-shot learn To view the full job description, <a href="https://www.aplitrak.com/?adid=YmJnZW5lcmljLjc4MTc2Ljg3NjlAY2FtYmlhaGVhbHRoY29tcC5hcGxpdHJhay5jb20" rel="nofollow">click here</a>

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Sr. Data Scientist - Industrial Industry Focused Cutsforth, LLC

AI Scientist II (Healthcare) Cambia Health Solutions

AI Scientist I (Healthcare) Cambia Health Solutions

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