be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 L5: $165,000 - $220,00 L6: $225,000 - $300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role.  Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications - Minimum 6 years of experience with building optimization algorithms or relevant experience. - Advanced proficiency in programming languages such as Python, R, SQL, and Java. - Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. - In-depth experience with data science cloud platforms and their integration into business solutions. - Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. - Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. - Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. - Deep understanding and application of statistical analysis and advanced machine learning techniques. - Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms) - Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. - Experience with Vector Databases and embeddings. - Experience with Model Fine-tuning. - Experience with GPU optimization. Preferred Qualifications - Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus. - Knowledge of geospatial analytics, route optimization, and GIS concepts. - Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. - Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. - Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. - Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. At BNSF, you will have access to a comprehensive and competitive benefits package including: - An industry-leading 401(k) and renowned Railroad Retirement program. - A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. - Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. - Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). - Access to discounts on travel, gym memberships, counseling services and wellness support. - Annual bonus (Incentive Compensation Program) - Generous leave / time off policies. - For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

• Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges • Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling • Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy • Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision‑making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data. Key Responsibilities: - Build and optimize machine learning models and statistical algorithms. - Analyze large, structured and unstructured datasets to identify trends and insights. - Develop dashboards, visualizations, and automated reporting tools. - Partner with engineering, product, and business teams to integrate data‑driven insights into strategy. - Validate model performance and ensure data quality, accuracy, and reliability. - Communicate findings clearly to technical and non‑technical stakeholders. - Support ongoing AI/ML initiatives across the organization.

The Data Scientist designs, develops, and deploys advanced analytics and machine learning models to improve healthcare outcomes and operational efficiency within healthcare SaaS platforms. This role collaborates with cross-functional teams to analyze complex datasets, generate actionable insights, and integrate data-driven solutions into secure, scalable, and compliant cloud-native environments. The Data Scientist is responsible for driving innovation in statistical modeling, ensuring responsible AI practices, and supporting the adoption of modern data engineering and visualization best practices. Key Responsibilities: 1. Advanced Machine Learning & AI Engineering - Design, develop, and optimize supervised, unsupervised, and reinforcement learning models. - Implement and fine-tune deep learning architectures using frameworks such as TensorFlow and PyTorch. - Apply ethical AI principles, including fairness, transparency, privacy, and bias mitigation. - Deploy and monitor models in production environments, ensuring scalability and reliability. 2. Data Engineering & Cloud-Native Architecture - Build and maintain scalable data pipelines and ETL processes for real-time and batch analytics. - Engineer robust data architectures using Spark, MetaFlow, Databricks, and cloud platforms (Azure, AWS, GCP). - Manage and manipulate large healthcare datasets for model development and analytics. - Ensure data quality, integrity, and security throughout the analytics lifecycle. 3. Statistical Modeling & Quantitative Analysis - Apply advanced statistical methods, hypothesis testing, and predictive analytics to healthcare data. - Design and interpret causal AI experiments to support business and clinical decision-making. - Develop and validate predictive models for patient outcomes and operational efficiency. 4. Data Visualization & Communication - Create compelling visualizations using Tableau, Power BI, D3.js, or similar tools. - Translate complex data and analytics into clear, actionable insights for technical and non-technical stakeholders. - Communicate findings effectively to engineering, product, and clinical teams. 5. Healthcare Domain Expertise & Compliance - Ensure solutions adhere to healthcare data standards (HL7, FHIR) and regulations (HIPAA, GDPR, CCPA). - Work with clinical datasets and understand healthcare workflows to ensure relevance and compliance. - Stay current with healthcare regulations and data privacy requirements. 6. Collaboration & Continuous Learning - Work closely with product, engineering, clinical, and compliance teams to deliver integrated, data-driven solutions. - Share knowledge and mentor team members on data science concepts and tools. - Commit to continuous improvement and staying current with industry trends and best practices. Required Qualifications: Education & Experience Guidelines - Bachelor's degree in computer science, data science, or other relevant field. - 5-8 years of relevant work experience - Experience developing predictive models and working with healthcare data standards. - Occasional travel may be required. Other Preferred Knowledge, Skills, Abilities or Certifications: - Cloud Platforms: AWS, Azure, GCP - AI Tools: Spark, MetaFlow, Databricks - Healthcare Compliance: HIPAA, GDPR, CCPA - Healthcare Standards: HL7, FHIR - AI Ethics: Fairness, transparency, bias mitigation - Certifications: Azure Data Scientist Associate, Google Cloud Data Engineer, CHDA, IBM Data Science - Visualization Tools: Tableau, Power BI, d3.js - Communication: Ability to translate complex data into actionable insights Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth. About Provation Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation’s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation® MD, Provation® Apex, MD-Reports, Provation® endoPRO®, and Provation® MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation® iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation® SurgicalValet™), order set and care plan management (Provation® Order Set Advisor™ and Provation® Care Plans), and EHR embedded clinical documentation (Provation® Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we’re guided by our core values – Provation has a culture of CARES: Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first. We Are an Equal Opportunity Employer Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.