Title: Health IT Data Scientist Location: Washington, DC Job Description: Red Pulley Technology Solutions, Inc. is seeking a Health IT Data Scientist II to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role applies statistical, predictive, and exploratory analytic techniques to complex healthcare and operational data to generate insights that inform strategic planning, performance monitoring, and evidence-based decision-making. All development, configuration, and implementation activities performed by this role are conducted within authorized Government-managed platforms and environments, subject to Government oversight, direction, and approval, with written authorization required prior to deployment to production environments. U.S Citizenship Required Location: Washington, DC Metro Area, DMV Area Clearance: Public Trust - Preliminary and Complete Fitness Determination Required Employment Type: Full-Time Minimum Qualifications: • Advanced degree or equivalent experience in Data Science, Statistics, or a related quantitative field • Advanced expertise applying statistical, predictive, and exploratory analytics to healthcare and operational data • Experience designing and implementing data models, forecasts, and analytic methodologies • Strong knowledge of healthcare data domains, including utilization, cost, quality, and performance metrics • Experience conducting cost modeling, trend analysis, and scenario forecasting • Skill in communicating complex analytic findings through reports, dashboards, and executive briefings Requirements Preferred Qualifications • Experience collaborating with Data Engineers to operationalize and scale analytic models • Experience developing repeatable analytic frameworks and methodologies for enterprise use • Familiarity with federal healthcare data governance, privacy, and security requirements • Experience supporting high-priority, time-sensitive analytical requests for senior leadership Key Responsibilities • Design and execute advanced data analysis, predictive models, and statistical methodologies using healthcare and operational data • Perform cost modeling, utilization analysis, trend analysis, and forecasting to support strategic planning • Collaborate with Data Engineers to operate analytic models and ensure scalability • Develop repeatable analytic frameworks and methodologies for enterprise use • Validate data sources, analytic assumptions, and model outputs to ensure accuracy and reliability • Translate analytic results into actionable insights through reports, dashboards, and executive briefings • Support leadership requests for high-priority, time-sensitive analyses • Document analytic methodologies, assumptions, and limitations Benefits: At Red Pulley Technology Solutions, we invest in our people so they can deliver exceptional results in support of critical missions. Our comprehensive benefits package includes: - Competitive compensation aligned with experience and market conditions - 401(k) retirement plan with company matching to support long-term financial security - Comprehensive health coverage, including medical, dental, and vision insurance - Health Savings Account (HSA) and Flexible Spending Account (FSA) options - Life insurance coverage for added peace of mind - Generous paid time off (PTO) to support work-life balance - Parental leave for growing families - Professional development assistance, including training and certification support - Tuition reimbursement to encourage continued education and career advancement Our benefits reflect Red Pulley’s commitment to workforce stability, professional growth, and creating an environment where mission-focused professionals can thrive. Affirmative Action/EEO statement Red Pulley is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Title: Senior Data Scientist Location: Remote, US Full Time Employee Full-Time Remote, US 6 days agoRequisition ID: 1814 Apply Salary Range:$78,900.00 To $187,200.00 Annually Position Title: Senior Data Scientist Requisition ID: 1814 Position Location: Remote Position Reports To: Associate Data Science Manager Supervises Others: No At Trident Systems, we believe that strong engineering principles are fundamental to driving innovation and solving complex problems. We promote a culture characterized by rigorous engineering practices and a commitment to continuous improvement. This is achieved by leveraging our organization's collective expertise through collaborative development processes, which include thorough design and peer reviews. We can deliver innovative, high-performance solutions that meet our customers' evolving requirements by integrating our specialized knowledge in aerospace electronic systems with appropriately scaled development methodologies. We are a mission partner supporting DoD, Intelligence Community, and Civil space customers. We develop complex, radiation effects mitigated, designs that balance competing requirements in modern space programs, delivering cutting-edge solutions that enable our customers to achieve more in space Position Summary This position will be part of the Predictive Maintenance and Logistics Team supporting Department of Defense (DoD) customers on projects that leverage advanced technologies including machine learning, artificial intelligence (ML/AI), and cloud infrastructure. The Senior Data Scientist will contribute to the development, evaluation, and deployment of data-driven models focused on time-series telemetry and operational system data. The role emphasizes hands-on Python development using modern machine learning frameworks, working with real-world sensor and telemetry data to build models that support health monitoring, anomaly detection, forecasting, and decision support. The Senior Data Scientist will collaborate closely with engineers, data visualization specialists, and program leadership to transition analytical solutions from research into operational environments. U.S. citizenship and the ability to obtain a security clearance are required. Duties and Responsibilities - Develop and evaluate machine learning models using Python to analyze time-series and telemetry data. - Perform data exploration, feature engineering, and preprocessing on structured and semi-structured datasets. - Utilize natural language processing and probabilistic modeling to extract data from maintenance records. - Develop Physics-informed models based on the known relationships of signals for systems with low historical data available. - Implement algorithms for anomaly detection, predictive modeling, and trend analysis in operational data. - Support model validation, performance evaluation, and documentation. - Contribute to the deployment of models into production and embedded environments in coordination with engineering teams. - Collaborate with data visualization and software teams to integrate model outputs into dashboards and decision-support tools. - Document methodologies, assumptions, and results for technical and non-technical stakeholders. - Stay current with emerging machine learning techniques and apply best practices to ongoing projects. - Ability to support travel or off-site work, as needed - Perform other duties as assigned. Required Qualifications - Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field with 4+ years of experience, or Bachelor’s degree in a related field with 6+ years of relevant experience (or equivalent experience in lieu of a degree). - Proficiency in Python for data analysis and machine learning. - Experience with common machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, or similar). - Experience with natural language processing techniques and toolchains. - Familiarity with time-series data, telemetry, or sensor-based datasets. - Working knowledge of data analysis tools such as NumPy, Pandas, and SciPy. - Ability to communicate technical concepts clearly in both written and verbal form. - Strong analytical thinking and problem-solving skills. - Must be a U.S. Citizen with the ability to obtain and maintain a security clearance. Preferred Qualifications - Experience applying machine learning to predictive maintenance, health monitoring, or operational analytics on time-series data systems. - Experience applying advanced techniques to extract meaningful data from bulk maintenance records to inform future maintenance actions. - Exposure to model deployment concepts (e.g., batch pipelines, APIs, or edge/embedded environments). - Familiarity with cloud platforms or big data environments. - Experience working in a government or DoD context. - Familiarity with the relationship between engine signals and performance. - Knowledge of version control (e.g., Git) and collaborative development workflows. Pay Information Full-Time Salary Range: $78,900 - $187,200 Please Note: Actual compensation offered will be determined based on several factors including, but not limited to, relevant experience, skills, education, certifications, internal equity, business considerations, and geographic location where applicable. Benefits Hired applicants may be eligible for benefits including but not limited to: - Health benefits - Medical - Dental - Vision - Basic life with AD&D - Short term disability - Long term disability - Ancillary (Voluntary life with AD&D, accident, critical illness, hospital, and pet) - Spending accounts (HSA, FSA, and DCFSA) - Paid time off - Holidays - 401(k) (including company match) - Tuition reimbursement - Leaves (Parental, maternity, and military) - Annual discretionary bonus (for eligible roles) - Potential annual bonus Trident Systems reserves the right to change or assign other duties to this position. Trident Solutions is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. To request reasonable accommodation to participate in the job application or interview process, please contact recruiting@tridsys.com. Pay Transparency: The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Title: Water Quality Environmental Scientist (Junior-Level) Location: Orlando, Florida, United States; Tampa, Florida, United States Job Description: Environmental Science Associates (ESA) is a 100% employee-owned environmental consulting firm. We plan, design, permit, mitigate, and restore for projects across our communities, infrastructure systems, open spaces, and wildlands. We are 50 years strong in 21 offices across California, the Pacific Northwest, and the Southeastern United States. ESA is seeking a motivated Environmental Scientist with a focus on water quality and watershed science to join our Southeast team. This junior-level role is ideal for a scientist with 2+ years of experience applying quantitative methods to ecological, hydrologic, and water quality datasets, preferred within Florida’s freshwater and estuarine systems and associated watersheds. The ideal candidate brings a passion for natural systems, analytical skills, and the ability to translate complex datasets into clear, defensible technical work products. This is an exempt, full‑time, salaried role working a hybrid schedule (2-3 days per week) depending on project needs, out of the Tampa and/or Orlando, FL, offices. Qualified candidates within a commutable distance to other Florida ESA locations may be considered. Strong preference given to candidates able to work hybrid from our Tampa or Orlando ESA offices. Who You Are You hold a bachelor’s degree or higher in ecology, environmental science, hydrology, water resources, or a related natural science field, and you bring 2+ years of professional experience in environmental consulting or applied ecological science. You possess knowledge and experience in water quality data analysis, including data compilation, quality assurance, statistical modeling, hydrologic/water quality data evaluation, and geospatial evaluation of watershed conditions. You have foundational experience in: - Data compilation and quality assurance, compiling data from various sources, conducting data quality reviews (QA/QC), and producing concise quality-controlled datasets ready for delivery and analysis. - Water quality and water quantity analyses, producing descriptive statistics, plots and other visualizations, exploratory data analysis, comparisons to water quality standards, and other regulatory evaluations. - Watershed management planning, supporting or conducting surface water resource assessments, land use characterizations, and pollutant loading estimates. - Water quality, biological, and hydrologic data analysis, scripting, reproducible analysis pipelines, and integration of large, multi‑source datasets to support statistical and mechanistic modeling. - Regulatory technical documentation, including preparation of clear, defensible sections of permit applications, contributing to technical memoranda, environmental evaluations, and data‑driven summaries that support decision making. You are eager to collaborate with interdisciplinary teams and contribute to high quality analytical deliverables. Your interests are in data synthesis and analysis, and you are willing to support translating complex water quality and hydrologic datasets into actionable insights into freshwater, estuarine, and watershed systems. - Experience with R, SAS, or other statistical programming software - Familiarity with hydrologic, hydrodynamic, and/or water quality data and modeling preferred - Watershed management plan development - GIS, Field Maps, Survey123, or similar tools - Ecological knowledge (e.g., wetlands, SAV, wildlife, restoration ecology). Preference given to candidates with Florida specific experience. - Experience conducting water quality, biological, or hydrologic analyses - Ability to contribute to technical writing and environmental documentation - General knowledge of environmental regulations and water quality programs (Florida‑specific preferred) - Strong communication and collaboration skills - Ability to work independently with limited direction - A valid driver's license What You Will Do You will apply quantitative and ecological expertise to support a wide range of environmental and water resource projects. Responsibilities include: - Work as a data scientist, including compilation and analysis of water quality and hydrologic data, to assist public and private sector clients in decision-making related to pollution controls in coastal and freshwater environments, in response to regulatory and/or policy directives. - Support projects involving watershed evaluations, source water protection, ecosystem restoration, and regulatory compliance - Contribute to the development of technical materials, including memoranda, documents, and/or presentations, that describe methods and results of scientifically rigorous and technically sound biological, water quality, and/or hydrologic evaluations, which may serve as supporting materials for environmental management decisions or environmental permit applications - Dive into and digest the environmental regulations relevant to Florida, including those associated with the Clean Water Act and associated regulatory programs (NPDES, TMDLs, BMAPs) and water supply programs (WUPs, MFLs) as well as other water‑resource programs. - Contribute to a collaborative, feedback‑driven team culture through internal discussions, project coordination, and problem‑solving - Contribute to the presentation of technical information to interdisciplinary internal teams and support meetings with clients, agency staff, and stakeholders in a clear and compelling manner - Participate in conferences, workshops, or networking events as appropriate - Deliver assignments on time and within budget - You will thrive in a fast‑paced environment balancing multiple responsibilities What’s Special About Our Team Our Southeast Biological Resources and Land Management team include environmental scientists, quantitative ecologists, hydrologists, planners, and technical specialists who support projects in water quality, hydrology, ecological monitoring program design and implementation, restoration design, and regulatory analysis. Much of our work focuses on watershed‑scale assessments, hydrobiological monitoring, permitting support, and data‑driven ecological evaluations that inform resilient, science‑based management decisions. What’s Special About ESA Joining ESA means becoming part of a close-knit team of environmental professionals who contribute to outstanding projects, improve environmental stewardship, and advance a more sustainable and resilient future for our communities and wild places. At ESA, we provide benefits such as medical, dental, and vision insurance (paid at 70% for you AND your family), annual allocations of company share through our ESOP, a 401(k) plan with company match, and paid vacation, sick leave, and holidays, to name a few. We also provide specific programs whether you want to further your technical expertise, sharpen your business acumen, or help lead the next generation of employee-owners. We want to support you in reaching your career goals through tuition reimbursement, professional development bonuses, and attendance at conferences. Who We Are We are a 100% employee-owned environmental consulting firm who values diversity and inclusion and celebrate the differences that make each of us unique. Our culture is built on mutual respect, recognizing that our variety of backgrounds, experiences, and perspectives leads to better solutions, which fosters our continued success for our employee-owners and clients. In accordance with ESA’s duty and responsibility to provide and maintain a safe workplace that is free of known hazards and to minimize the exposure to potential hazards, any employee who works from an ESA office or conducts any other in-person ESA work-related activity is required to submit their proof of vaccination status or have received an approved exemption and accommodation in states which this applies. If you are an applicant with a disability that requires a reasonable accommodation to complete any part of the application process or are limited in the ability—or unable to use—the online application system and need an alternative method for applying. Please include the following in your message so we can promptly address your request: - Full name - The best method to contact you (phone number and/or email address) - Title of Job Position Applied - Description of your accommodation request ESA is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. (EOE M/V/F/D)

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed. You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities. Requirements (not all need to be met): - Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. - Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. - Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. - Strong software development skills. - Strong verbal and written communication skills in Japanese. - Experience with or desire to learn: - Machine learning and other advanced analytical methods - Fluency in Python and/or R - pySpark and/or SparkR and/or SparklyR - Hadoop (Hive, Spark, HBase) - Teradata and/or another SQL databases - Tensorflow, and/or other statistical software including scripting capability for automating analyses - SSIS, ETL - Javascript, AngularJS 2.0, Tableau - Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus - Experience working with Manufacturing Execution Systems (MES) is a plus - Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position - Bachelor degree or equivalent experience About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.