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Job DescriptionBenefits: • 401(k), • Competitive salary, • Dental insurance, • Health insurance, • Team Management: Lead and mentor a team of data scientists, machine learning engineers, and big data specialists to foster professional growth and collaboration., • Project Planning: Oversee the planning and execution of data science projects, ensuring alignment with organizational goals and objectives., • Model Development: Build and optimize analytical models using machine learning, natural language processing, and statistical techniques to derive insights from large datasets., • Data Analysis: Analyze various data sources, including procurement, supply chain, and healthcare data, to inform business strategies and product development., • Problem Solving: Identify and address data development challenges, proposing innovative solutions to enhance data utilization across the organization., • Methodology Development: Lead the development and maintenance of methodologies that support product offerings, including statistical modeling and time-series analysis., • Stakeholder Collaboration: Work closely with business leaders and other departments to communicate analytical findings and drive data-driven decision-making.Required Skills and Qualifications, • Educational Background: Typically requires a Masters or Ph.D. in Statistics, Computer Science, Mathematics, or a related field., • Technical Expertise: Proficiency in data manipulation, visualization, and machine learning techniques, with experience in programming languages such as Python, R, or SQL., • Analytical Skills: Strong problem-solving abilities and a knack for statistical analysis to interpret complex data sets effectively., • Leadership Skills: Experience in managing teams and projects, with the ability to mentor junior data scientists and foster a collaborative environment.

Job Description Texas Scientific LLC is a biotech company locates nearby Texas Medical center in Houston. Our mission is to enhance the health and well-being of people by developing and providing high quality healthcare products and services accessible around the world. The R&D Laboratory is currently recruiting a Scientist level investigator in developing new in vitro diagnostic (IVD) products. Highly motivated individual who has relevant trainings and working experiences in immunology, biochemistry, molecular biology, and has passions in developing IVD products, is encouraged to apply. Job Responsibilities and Skills: • Preparing and reviewing regular laboratory protocols and standard operation protocols (SOPs) that will be used for analytical studies related to our existing and new products and for good laboratory practice., • Performing analytical studies for new products developed by R&D teams in our company, including preparing analytical study protocols and providing study reports, • Preparing reports of experimental results and documents required for regulatory registrations, • Establishing platforms for antibody or macromolecule labeling with colloidal gold, latex or other labeling technology in Texas Scientific lab in Houston, • Developing new technological platforms for in vitro diagnostic products, including fluorescent labeling, microfluidics, and microarray, • Performing other job-related duties as may be assigned and managing and supervise lab staff in the daily operational workload., • PhD / MS in immunology, biology or biomedical science related field with >5years research experience in life sciences or medical field are required., • Proven skilled hand-on techniques immunology or molecular biology laboratory. Knowledgeable of scientific publication preparations and search of public data base and literature., • Capable for lab equipment operation and maintenances of common lab equipment., • Capable of lifting and moving boxes up to 40 pounds., • The ability to prioritize and complete tasks and forecast in advance for ongoing projects., • A willingness to work hard and be creative in a fast-paced environment., • Accurate laboratory data recording and data processing., • Excellent troubleshooting and problem-solving skills including the ability to learn new assays quickly and design new protocol. This is a full-time on-site position.

Job Description If you have experience as an Andrology / Endocrinology Lab Supervisor and a passion for women's health and fertility, we have an exciting opportunity for you to join our team at Aspire HFI - Piney Point. This position will provide direction and supervision for all the complex andrology lab procedures required for infertility care and In-Vitro Fertilization (IVF). Responsibilities: • Provides day-to-day oversight of andrologists and all andrology lab procedures and practices., • Ensure and maintain regulatory compliance with appropriate agencies., • Maintain and monitor quality control measures & clinical data to ensure optimal laboratory performance and pregnancy outcomes., • Develop special expertise in the use of and continual improvement to the laboratory database., • Perform duties in accordance with laboratory policy including: the routine examination and analysis of semen samples after and during treatment cycles; preparation of semen specimens for treatment procedures; sperm cryopreservation procedures., • Data collection and submission for compliance reviews, re-certifications, and submissions of data to specified organizations., • Ensure optimal productivity and efficiency., • Maintain sperm cryopreservation records and storage of cryopreserved sperm., • Develop new techniques and implementing new procedures into the laboratory as clinically necessary, ensuring that all laboratory staff are trained and competent in the new procedures., • Work such hours as may be required for the proper, effective, and timely performance of the andrology laboratory, including weekends, according to the operational needs of the department and in support of the smooth and efficient running of the service., • Maintain quality control and assurance of the laboratory for COLA and CLIA compliance reviews., • Be aware of clinical data outcomes and be able to discuss with the clinical care team and/or physicians., • Ensure that the physical and environmental conditions of the laboratory are appropriate for the testing performed and provide a safe environment in which employees are protected from physical, chemical, and biological hazards., • Coordinate Testicular Sperm Aspirations with outside physicians when required., • Develop and maintain all weekend call schedules for the andrology team., • Contribute to team effort by maintaining an excellent rapport and working relationship between lab team, other departments within practice and the Prelude network, • High school diploma or GED required., • Bachelor's degree in medical or biological sciences strongly preferred., • Andrology Laboratory Scientist (ALS) certification required., • Meet state specific certifications/licensure requirements (e.g. Certified Lab Scientist (CLS) etc), if applicable., • Minimum of 5 years’ experience in human IVF laboratory required. ???? Comprehensive Health Coverage: Medical, dental, and vision plans for our full-time employees, along with complimentary basic life insurance, Employee Assistance Program, and long-term disability insurance. FREE or low-cost employee-only healthcare coverage option is also available. ????️‍????️‍????️‍???? Family Building Support: Take advantage of our comprehensive fertility benefits, adoption assistance, and surrogacy support to help grow your family. ???? Paid Parental Leave: Generous maternity, paternity, and partner leave so you can focus on what matters most. ???? Plenty of Paid Time Off: Start with 18 days of PTO annually and enjoy 11 paid holidays, including one floating holiday to use as you choose! ???? Retirement Ready: Invest in your future with our 401(k) plan, featuring a competitive company match and full vesting after just 2 years. ???? Lifestyle Spending Account: Access a company-funded account to reimburse expenses that boost your physical, financial, and emotional well-being. ???? Health Savings Account (HSA): If eligible, enjoy regular employer contributions to your HSA with every paycheck. ???? Rewards for Connections: Earn extra money with our Employee Referral Program—your network is invaluable! ???? Growth Opportunities: We support your career with continuing education reimbursement and dedicated time off for professional development. ???? Premium Calm Health Subscription: Enjoy a free premium Calm Health app subscription to support your mental wellness. ???? Emotional & Work-Life Support: Through our Employee Assistance Program (EAP) with SupportLinc, you'll have access to emotional well-being and work-life resources whenever you need them. ???? Extra Peace of Mind: Explore additional coverage options including Accident, Critical Illness, Hospital Indemnity, and Pet Insurance, to suit your needs.

Job Description Overview CTG is seeking to fill a Data Scientist - Artificial Intelligence position for our client. Location: Houston, TX Duration: 10 months Duties: * Lead the migration of conversational intents, entities, and dialog flows from IBM Watson Assistant to Google Cloud Dialogflow / CCAI Flow Designer. * Design, develop, and optimize conversational AI models to ensure high accuracy of natural language understanding (NLU) and enhanced user experience. * Collaborate with cross-functional teams to integrate AI solutions with APIs and existing digital/voice platforms. * Conduct testing and validation of migrated intents and flows, ensuring alignment with business requirements and customer expectations. * Monitor, troubleshoot, and improve AI-driven interactions post-migration for continuous optimization. * Document processes, best practices, and knowledge transfer materials for sustainable AI operations. Skills: * Hands-on experience with IBM Watson Assistant and Google Cloud Contact Center AI (CCAI), including Flow Designer and Dialogflow. * Strong background in conversational AI design, intent mapping, entity recognition, and dialog flow creation. * Proficiency in Python, R, or other relevant programming languages for AI/ML development. * Experience with API integration, data preprocessing, and machine learning pipelines. * Familiarity with cloud platforms (Google Cloud Platform preferred) and AI/ML services. * Strong analytical, problem-solving, and troubleshooting abilities. Experience: * Proven experience migrating conversational AI solutions between platforms, specifically Watson Assistant to Google CCAI. * Track record of implementing AI solutions in customer-facing digital or voice channels. * Experience collaborating in cross-functional teams, delivering complex AI projects on time. Education: * Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. * Relevant certifications in AI/ML, Google Cloud, or Watson Assistant are a plus. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.

Job Description About Us Catalyst Labs is a specialized talent partner with a focus on recruiting top-tier engineers across Software, Data, and AI-driven domains. We are deeply embedded in our clients’ technical hiring operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems Our Client: A fast-growing technology company that embeds top engineering talent directly into customer environments to solve high-impact operational and data challenges. They help enterprises rapidly build and scale mission-critical applications that drive measurable business outcomes. The company bootstrapped to generate $25M in revenue and raised $6.7M in total funding, supporting its continued growth and expansion. Location: Hudson Yards, NY Work type: Full time, Hybrid (travel required 10 to 30% of the time) Overview This role is centered around partnering directly with customers to solve their most valuable and complex problems. As a Forward Deployed Software Engineer, you will work hand-in-hand with stakeholders to design, build, and maintain high-impact applications that drive real business change. Your day-to-day work involves understanding mission-critical objectives, transforming enterprise data into operational workflows, and delivering tools that executives and frontline teams rely on to make informed decisions. You’ll move fast rapidly iterating, building systems from scratch, and enabling organizations to modernize their operations at exceptional speed. Beyond writing code, you will play a key role in reshaping how entire teams operate by delivering powerful, data-driven solutions that directly influence business outcomes. Key Responsibilities * Work closely with customer stakeholders to understand their most critical business objectives and translate them into high-impact technical solutions. * Architect, develop, and maintain applications that operationalize enterprise data and drive measurable business outcomes. * Build end-to-end workflows using large structured and unstructured datasets in production environments. * Iterate rapidly, often building systems from scratch, to help customers transform their operations at exceptional speed. * Collaborate directly with executives, operators, and cross-functional teams to deploy tools that meaningfully improve business processes. * Own projects autonomously taking full responsibility for delivery, implementation, and long-term success. * Embed with customer teams as needed, providing both technical expertise and on-the-ground support. * Travel to client sites as required (typically 10 to 33%) to support implementations and ensure successful adoption. * Work hybrid/on-site at company offices (London, New York, Washington D.C., or Denver) and at customer locations during key phases of deployment. Qualifications Required * Bachelor’s or Master’s degree in Computer Science or a related field. * 1 to 5 years of experience as a fullstack engineer, data engineer, or FDE * Strong analytical and problem-solving skills, with the ability to break down complex challenges and deliver practical, production-ready solutions. * Proficiency in Python and/or TypeScript. * Demonstrated experience building applications that leverage large datasets in real-world production environments. * Proven track record of delivering measurable outcomes through codewhether as a software engineer, data scientist, or technical analytics lead. * Ability to work independently and own outcomes end-to-end while also collaborating effectively with technical and non-technical stakeholders. * Excellent communication and interpersonal skills to work closely with customers and internal teams. * Willingness to travel for customer implementations (10 to 33% depending on project). * Enthusiasm for working hybrid-in-person at one of the company’s office locations and onsite with customers. Preferred * Experience working with Palantir Foundry and/or AIP. * Experience delivering production ML or LLM-based solutions. * Experience building production React frontend applications. * Familiarity with Spark, distributed computing, or large-scale data processing frameworks. Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent to ensure your confidentiality throughout the hiring process

Job Description Overview: We are seeking a highly skilled senior Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT automated space asset scheduling solution with cutting-edge machine-learning algorithms and models. It is important for you to possess a passion and have experience with reinforcement learning (RL) models, managing complex data sets, and data fusion methodologies. Location: Houston - hybrid in the office 2-3 times a week What you will be doing: • Develop, train, and deploy RL models to analyze and interpret complex data, enhancing predictive accuracy and uncovering hidden patterns in large datasets while ensuring compliance with operational specifications., • Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness., • Containerize decision-making algorithms and capabilities for on-edge deployment., • Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements. What you will need:, • US Citizenship, Permanent Resident (Green) Card., • Ability to obtain and maintain a U.S. Government security clearance at the Secret/Top Secret level., • Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc., • 4-7 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role leveraging RL., • Comprehensive knowledge of numerical methods, probability, and statistics., • Experience with Python, Rust, and with data science tools like Numpy and Pandas., • Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras., • Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings., • Experience in data manipulation, analysis, and visualization., • Prefer experience in the space, satellite, or aerospace industry, with a focus on mission operations, systems engineering, or related domains., • Flexible Time-Off policy and company holidays, • Cost-effective health care, dental, and vision with company contributions, • 401k matching plan with company match, • Life insurance We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you. Company Information: Cognitive Space is delivering next-generation AI systems for the space industry through its CNTIENT platform, supporting several US Government agencies and the global space market. The company is unlocking the full use of space through AI for national security and economic prosperity in satellite operations, network management, and geospatial collections. Cognitive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law. Recruitment agencies and headhunters are prohibited from submitting resumes or CVs through this website or directly to Cognitive Space Management or team members. Cognitive Space Inc. does not accept unsolicited resumes from third-party agencies and will not compensate any agency without a signed agreement in place. Powered by JazzHR z1dgvFsTLO

Job DescriptionDescription: About us: At Texas Regional Physicians & Regenerative Medicine (TRP), we are committed to delivering safe, reliable, and state-of-the-art care. With specialties ranging from pain management to orthopedics, we provide a streamlined, patient-centered experience by bringing highly qualified physicians together under one roof. Our collaborative model eliminates the need for multiple offices, ensuring every patient receives a customized treatment plan that helps them look and feel their best. Job Summary: The Medical Laboratory Scientist (MLS) is responsible for performing accurate and timely diagnostic testing across multiple clinical disciplines, including waived, moderate, and high complexity procedures. This role supports patient care by ensuring precise reporting of laboratory results and contributing to operational excellence through collaboration and documentation. Key Responsibilities: • Clinical Testing & Result Reporting, • Perform and report waived, moderate, and high complexity tests in accordance with SOPs and regulatory guidelines (CLIA, COLA, etc.), • Validate patient results for accuracy, perform clinical correlation, and escalate abnormalities or critical values appropriately Instrument Maintenance & Quality Control: • Conduct daily, weekly, and monthly maintenance on assigned instrumentation, document all procedures per protocol, • Perform calibrations and calibration verifications per schedule, • Run daily quality controls, troubleshoot QC failures, document corrective actions, and ensure issues are resolved prior to patient testing, • Report equipment malfunctions as needed to minimize downtime to Lab lead or Director Operational Support: • Receive, label, and process specimens using two patient identifiers, • Ensure LIS and EMR data integrity by cross-checking orders, results, and transmission accuracy, • Maintain reagent inventory; ensure all materials are properly dated (received, opened, expiration) and stored, • Participate in maintaining and documenting laboratory logs, including quality control records, maintenance sheets, and reagent logs Professionalism & Collaboration: • Support ongoing training efforts by sharing knowledge and reinforcing best practices with peers and new staff, • Communicate clearly and professionally with physicians, patients, staff, and vendors, • Adhere to HIPAA, OSHA, CLIA, COLA, and all internal policies and protocols, • Participate in continuing education to maintain licensure and ensure technical proficiencyRequirements:, • Bachelor’s degree in Medical Technology, Clinical Laboratory Science, or a related chemical/biological science as defined by CLIA, • Certification as a Medical Laboratory Scientist (MLS) through ASCP or equivalent, • 2+ years of clinical laboratory experience preferred Skills & Tools Proficiency: • Experience with chemistry analyzers, Immunoassay, hematology equipment, hemostasis platforms, and point-of-care testing instruments, • Competency using EMR/LIS systems and Microsoft Office (Excel, Word, Teams), • Strong verbal and written communication skills, • PRN - Clinic Hours Monday - Saturday 9am-6pm

Job Description Data Scientist – Strategic Data Intelligence Location: Houston, TX (Onsite) Duration: Long-term / Ongoing About the Opportunity iSphere is on the hunt for a Data Scientist – Strategic Data Intelligence to join a forward-thinking team in Houston. This is a hands-on role where you’ll turn complex educational and operational data into meaningful stories and actionable insights that drive smarter decisions. You’ll collaborate with senior analysts, engineers, and business leaders to foster a strong, data-driven culture. What You’ll Do * Predictive & Trend Modeling: Develop predictive models and trend analyses to support planning and program evaluation. * Data Prep & Integration: Prepare data from Microsoft Fabric, SIS, ERP, and external systems for advanced analysis. * Visualization & Storytelling: Design Power BI dashboards that showcase key performance indicators and deliver clear data stories. * Statistical Analysis: Clean, merge, and transform data using statistical software (Python, R, or Stata). * Research Collaboration: Partner with department leads to define research questions and translate them into analytical strategies. * Pilot & Evaluation Support: Assist in pilot studies and evaluations of new academic or operational initiatives. * Exploratory Data Analysis: Uncover patterns and actionable insights through deep data dives. * Documentation: Maintain thorough records of code, logic, and assumptions used in all statistical work. * Continuous Learning: Stay on top of new methods, tools, and educational research practices. What We’re Looking For * Education: Bachelor’s degree in statistics, mathematics, data science, public policy, or a related field (Master’s preferred). * Experience: Minimum 3 years in applied data analytics, educational research, or statistical analysis; experience in public education, nonprofits, or social policy analytics is a plus. * Technical Skills: * Proficiency in SQL, Power BI, and at least one statistical programming language (Python, R, or Stata). * Strong ability to interpret and visualize complex datasets. * Familiarity with public education data and performance indicators. * Soft Skills: Excellent written and verbal communication skills, strong collaboration abilities, and a proven track record of meeting tight deadlines. * Certifications: Certifications in data analytics or visualization tools are a plus. Why iSphere For more than 20 years, iSphere has connected top professionals with meaningful projects. Our culture values relationships, responsiveness, and results. We believe in supporting our consultants with open communication, career development, and opportunities to make an impact.

Job Description SUMMARY: We are seeking a highly motivated and experienced R&D Scientist to join our dynamic, fast-paced team focused on driving innovation in the genomic diagnostics field. The R&D Scientist will play a critical role in developing new sequencing based diagnostic assays. This role is ideal for a scientist with a Ph.D. in molecular biology, biochemistry, genetics, or a related field, and a strong background in assay development and validation. The successful candidate will play a key role in developing and optimizing tissue biopsy and liquid biopsy workflows, contributing to the advancement of cutting-edge molecular diagnostic assays. The candidate will independently lead assay development projects while collaborating with cross-functional teams, both within and outside the department, under general supervision. REQUIRED QUALIFICATIONS: • Ph.D. in molecular biology, biochemistry, genetics, or related discipline., • Minimum of 3 years of hands-on experience in sequencing workflow and assay development, preferably in an industrial or clinical diagnostic setting., • Proven expertise in tissue FFPE, fine needle biopsy, and/or cfDNA sequencing workflows., • Strong understanding of molecular assay development and validation principles., • Proficiency in molecular biology techniques such as PCR, qPCR, NGS, and nucleic acid extraction., • Experience with data analysis tools and software relevant to NGS., • Excellent problem-solving skills and attention to detail., • Agility in learning new concepts and skills and applying them to R&D work., • Experience in R&D assay transfer to operation., • Experience working in a regulated environment (e.g., CLIA, CAP)., • Lead and contribute to the design, development, and optimization of molecular assays, with a focus on tissue and cfDNA workflows., • Develop DNA library preparation chemistry and workflow for FFPE tissue samples., • Refine chemistry and workflows for cell-free DNA library preparation., • Design and execute experiments, analyze data, and interpret results to support assay performance and troubleshooting., • Define assay performance metrics and collaborate with the validation team on designing verification & validation study., • Collaborate cross-functionally with bioinformatics, validation, automation, and clinical teams to ensure robust assay development, validation and transfer., • Maintain detailed records of experimental procedures, results, and protocols in accordance with regulatory and quality standards., • Present findings and updates to internal stakeholders and contribute to technical reports and publications., • Keep up to date with emerging technology and scientific trends, and contribute to new assay improvement or development ideas., • Evaluate assay improvement and novel ideas through experimental approach., • Adhere to the Code of Conduct as outlined in the Baylor Genetics Compliance Program., • Frequently required to sit, • Frequently required to stand, • Frequently required to utilize hand and finger dexterity, • Frequently required to talk or hear, • Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard. Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.

Job Description Overview: We are seeking a highly skilled Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT automated space asset scheduling solution with cutting-edge machine-learning algorithms and models. It is important for you to possess a passion and have experience with reinforcement learning (RL) models, managing complex data sets, and data fusion methodologies. Location: Houston - hybrid in the office 2-3 times a week What you will be doing: • Develop, train, and deploy RL models to analyze and interpret complex data, enhancing predictive accuracy and uncovering hidden patterns in large datasets while ensuring compliance with operational specifications., • Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness., • Containerize decision-making algorithms and capabilities for on-edge deployment., • Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements. What you will need:, • US Citizenship, Permanent Resident (Green) Card., • Ability to obtain and maintain a U.S. Government security clearance at the Secret/Top Secret level., • Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc., • 2-5 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role leveraging RL., • Comprehensive knowledge of numerical methods, probability, and statistics., • Experience with Python, Rust, and with data science tools like Numpy and Pandas., • Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras., • Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings., • Experience in data manipulation, analysis, and visualization., • Prefer experience in the space, satellite, or aerospace industry, with a focus on mission operations, systems engineering, or related domains., • Flexible Time-Off policy and company holidays, • Cost-effective health care, dental, and vision with company contributions, • 401k matching plan with company match, • Life insurance We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you. Company Information: Cognitive Space is delivering next-generation AI systems for the space industry through its CNTIENT platform, supporting several US Government agencies and the global space market. The company is unlocking the full use of space through AI for national security and economic prosperity in satellite operations, network management, and geospatial collections. Cognitive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law. Recruitment agencies and headhunters are prohibited from submitting resumes or CVs through this website or directly to Cognitive Space Management or team members. Cognitive Space Inc. does not accept unsolicited resumes from third-party agencies and will not compensate any agency without a signed agreement in place. Powered by JazzHR 7cn1NOybVs

Job DescriptionHETI has a great opportunity for a Senior Geologist/Senior Environmental Scientist/Senior Engineer with 10+ years experience in the environmental field. This role will be responsible for providing technical and business skills and contribute to advanced solutions in the environmental, chemical, commercial, manufacturing, government, energy, financial, insurance, and/or legal sectors. This job is 100% remote. The candidate should have experience managing consulting assignments, must work effectively in multi-disciplinary teams, is expected to be proficient in the analysis and communication of information, and must be able to work cooperatively with agencies, organizations, and individuals to guide decision-making. The successful candidate is also expected to be proficient in all facets of project management. He/she must demonstrate collaboration with colleagues throughout the organization. Key Responsibilities include but are not limited to: Client Management & Communication: • Serve as the primary point of contact for clients and stakeholders, providing regular updates on project status and outcomes., • Collaborate with project teams, including environmental engineers, geologists, and technicians., • Communicate complex technical information to clients and stakeholders in a clear and concise manner.Regulatory Compliance & Reporting:, • Interact and coordinate with regulatory agencies to obtain necessary approvals, permits, and closure documentation., • Prepare and submit comprehensive reports, including site investigation reports, risk assessment reports, remedial action plans, progress reports, and closure reports., • Be current and continue to be current on environmental regulations and guidelines.Remediation Planning/Implementation:, • Develop and implement effective remediation plans based on the findings of site investigations and risk assessments., • Design and oversee the implementation of remediation strategies, which may include excavation, soil vapor extraction, groundwater treatment, in-situ bioremediation, or other appropriate methods., • Ensure compliance with all applicable regulations, guidelines, and permits during the remediation process.Site Assessments:, • Manage/conduct comprehensive site investigations to identify potential sources of contamination, evaluate risks, and develop appropriate remediation strategies., • Collect soil, groundwater, and other environmental samples and analyze them in accordance with standard protocols and regulations., • Perform data interpretation, risk assessment, andmodeling to determine the extent and nature of contamination and its potential impact on human health and the environment.Quality Control:, • Implement quality control and assurance measures to ensure accurate and reliable data collection, analysis, and reporting., • Conduct periodic audits and reviews of project activities to verify compliance with project plans and regulations., • Identify and address any deviations or discrepancies in project execution promptly.The Ideal Candidate should have:, • Current PE or PG license, • Bachelors Degree in environmental science, geology, engineering, or a related field., • 10+ years experience conducting site investigations remediation and third party evaluations, • Solid understanding of environmental regulations, guidelines, and best practices related to contaminated site cleanup., • Excellent project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients, regulatory agencies, and project teams., • Attention to detail, critical thinking, and problem-solving abilities., • Knowledge of environmental sampling techniques and laboratory analysis methods.Founded in 1986, HETI is a full-service, nationwide environmental services company specializing in environmental and indoor air quality site assessment, site remediation, risk characterization, occupational health and safety services, and litigation/expert witness support. Through our network of offices throughout the U.S., we serve a variety of large and small businesses. We are an Equal Opportunity Employer and offer a competitive benefit package including base salary plus bonus opportunities and a friendly, flexible work environment. Flexible work from home options available.

Job Description Position Summary We are seeking an accomplished Principal Scientist to lead the validation of next-generation sequencing (NGS) assays for our expanding portfolio of clinical tests. This role will serve as the technical lead for end-to-end wet-lab assay validation, ensuring robust analytical and clinical performance for assays developed under CLIA/CAP/ NYS regulatory frameworks. The ideal candidate will combine deep technical expertise in NGS assay development with a strategic understanding of clinical diagnostics, playing a pivotal role in advancing high-quality genetic and oncology tests from concept to clinical launch. Key Responsibilities • Lead the planning, design, and execution of analytical validation studies for sequencing-based assays (e.g., germline, somatic, and liquid biopsy applications)., • Develop and maintain validation strategies, protocols, and reports compliant with CLIA/CAP/NYS and internal quality standards., • Collaborate cross-functionally with Assay Development, Bioinformatics, Quality, and Product teams to ensure alignment of validation strategy with assay design and clinical claims., • Establish acceptance criteria, reference materials, and performance metrics to support analytical and clinical validation., • Serve as the subject matter expert (SME) for NGS validation methods, study design, and regulatory expectations., • Analyze validation data and provide data-driven recommendations for assay optimization and product readiness., • Support regulatory or laboratory inspections and contribute to responses or corrective action plans as needed., • Mentor junior scientists and contribute to building a scalable validation function within the R&D organization., • Ph.D. in Molecular Biology, Genetics, Genomics, or related discipline, with 6+ years of relevant experience; or M.S. with 8+ years of experience in NGS assay development and validation., • Demonstrated track record of leading validation of clinical NGS assays under CLIA/CAP/NYS or equivalent regulatory frameworks., • Strong expertise in NGS library preparation, sequencing platforms, and assay performance characterization., • Deep understanding of analytical validation parameters (accuracy, precision, LoD, specificity, reproducibility, etc.) and their statistical evaluation., • Experience collaborating closely with bioinformatics teams for pipeline verification and integrated assay validation., • Familiarity with quality management systems (QMS), design control, and documentation best practices., • Excellent problem-solving, communication, and cross-functional collaboration skills., • Prior experience with oncology and germline clinical genetic testing., • Knowledge of NYS clinical test submission or FDA IVD development processes., • Experience managing or mentoring junior scientists., • Scientific rigor and attention to detail., • Strategic thinking with hands-on execution capability., • Collaborative mindset and strong communication across scientific and business functions., • Commitment to quality, compliance, and continuous improvement.

Job Description Position Title: Assistant Manager, RRPL Join our team of heroes! Reporting to the Component Production Manager, this position is responsible for managing operations in the Research and Recovered Product Laboratory (RRPL). Key duties include supervision of staff, maintenance of policies, procedures, and quality control practices and the coordination of clients, products and services intended for research and further manufacturing. Just For You: • Career advancement opportunities., • Competitive compensation and benefits package., • Embody our Core Values of Commitment, Integrity, and Respect, • Work to actively create experiences that inspire others to save lives, each and every day., • Embrace doing it right, making connections, and creating desired experiences., • Assume full responsibility for the RRP Laboratory including processes, products intended for research or further manufacturing, clients and resources., • Manage client base and coordinate production to meet client specifications, volumes, and expected delivery times., • Manage the processing, packing, and distribution of blood components, ensuring thorough and accurate documentation of packing manifests, shipping logs, and unit test results., • Manage all documents, shipment records, quality records, and billing reports to ensure they are complete, accurate, and timely., • Liaison with plasma entities to schedule shipments and ensure shipments are reconciled for billing purposes., • Reconcile billing and documentation discrepancies as reported., • Ensure products are properly manufactured according to cGMP, standard operating procedures, temperature storage requirements, and client specifications within required time limits., • Resolve issues related to component preparation or shipment problems and implement necessary corrective actions., • Manage updates to client material specifications, packing instructions, shipping instructions, coversheet and COA versions, and communication all changes to staff in the RRP area., • Administer training and competency assessments to new and incumbent staff., • Act as coach and mentor to staff to maximize staff’s professional development., • Serve as primary liaison with MIS for department hardware and software needs, and development of new, and revisions to existing reports and applications., • Communicate with clients, providing exceptional customer service to ensure all orders are met accurately and in the established time frame. Assist with client notifications of delayed payments., • Monitor equipment and supply inventory to ensure optimal levels are always available., • Ensure all laboratory equipment is maintained according to SOP and manufacturer’s guidelines., • Address any issues as required to maintain a safe and clean work area, including walk-in storage equipment., • Prepare data from various reports to determine productivity, KPIs, and goal achievements., • Manage or participate in special projects and process improvement in accordance with established policy., • Responsible for preparing and acting as the SME for internal and external quality audits and assessments of the RRPL area., • Assumes responsibilities for the Component Production Laboratory in the absence of the operations manager., • Enforce The Blood Center's policies on EEO, cGMPs, and Safety/Health to include ensuring that every component handled maintains the highest possible quality., • Degree in Biology, Chemistry, or related science field with minimum of three-years recent experience in a laboratory or blood component manufacturing facility., • Prior experience in plasma and blood component manufacturing highly desirable., • Medical Technologist/Clinical Laboratory Scientist (ASCP or equivalent) strongly preferred., • Minimum of two years of supervisory/management experience with direct reports. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee occasionally is required to sit and stoop, kneel, or crouch. The employee is frequently required to stand for long periods. The employee must occasionally lift and/or move up to 30 pounds. Employees are required to be familiar with and abide by the team lift requirements as specified in the Safety Program . Employee may occasionally push or pull wheeled containers weighing up to 150 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly exposed to blood and/or blood components, as well as any other biohazard materials. The employee is occasionally exposed to moving mechanical parts and risk of radiation. The noise level in the work environment is usually moderate. The employee is frequently exposed to extreme cold. Job duties involved an inherent potential for mucous membrane or skin contact with blood with a risk of exposure to Hepatitis and HIV. Who We Are: Since 1975, Gulf Coast Blood has been one of the nation’s largest community blood centers, serving 170 hospitals across 26 counties. Headquartered in Houston, we support the world’s largest medical complex—the Texas Medical Center—while operating 18 donor centers and hosting more than 7,000 mobile blood drives each year. As an FDA-accredited nonprofit, we provide high-quality human cellular material for both scientific and therapeutic use. Some Jobs Change Lives. Others Save Them. Think you have what it takes to save lives with us? We want to hear from you. EQUAL OPPORTUNITY EMPLOYER STATEMENT Gulf Coast Blood is an Equal Employment Opportunity Employer. Qualified applicants for positions are considered without regard to race/ethnicity, color, religion, national origin, age, pregnancy, sex, sexual orientation, gender identity, transgender status, military status, protected veteran status, disability status, genetic testing results, or any other basis or characteristic prohibited by applicable law, statute, regulation or Executive Order.

Job Description ARES Corporation is seeking candidates for our SkillBridge Program. We have multiple opportunities available across various disciplines and are excited to support transitioning service members as they take the next step in their careers. NASA Test Director – candidate will support and lead critical Artemis test operations as a Test Conductor, working closely with NASA. Plan test operations, execute test operations, and review lessons learned from test operations. Perform negotiations with various stakeholder organizations for test content, review of requirements, development of test procedures and identification of support requirements. Past experience in Test Management or Operations Management and oversite desired. Degrees: Engineering degree from ABET accredited engineering college. StratComm – any past experience in creating video, graphics, articles / web based informational content for online distribution. Organize/ Plan /Support outreach events and exhibits both onsite and offsite at various locations. Degrees: Marketing/Public Affairs, Communications, Event Mgmt, Hospitality, Project Mgmt, Board Support – any past experience in coordinating schedules or meeting, preparing agenda topics. Experience documenting and consolidate packages for review. Capturing meeting minutes, tracking action items through closure, teleconference setup, conference room setup / information sharing applications (e.g., Teams). Upload and maintain program-related records, sending outlook invitations and managing Distribution Lists. No degree required / any degree or experience with the above will do. Data Scientist / Analytics - Any experience in designing, developing, and maintaining BI dashboards, reports, and visualizations that track key metrics, schedule impacts, technical/logistical risk and integration performance. Leverage statistical modeling, data mining, and ML techniques to support predictive analytics, anomaly detection, and trend forecasting. Skilled in data storytelling to Sr leadership. Degree: Data engineering, Data Science, Computer Science, Math / Statistics, Systems Engineering, Business Analytics Risk – Any prior experience in risk mgmt, project risks, developing risk mitigation plans, and tracking risk mitigation progress. Documenting risk information such as risk statements, context, mitigation plan, and risk scoring. Any Active Risk Manager (ARM) exp a plus. Any experience facilitating risk review forums and developing presentations in support of element risk reviews. Degrees: Engineering, Business Admin, or other. ARES is an equal opportunity employer and complies with E-Verify. We believe in hiring a diverse workforce and fostering an inclusive culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. ARES shall abide by the requirements of 41 CFR 601.4(a), 60-300.5(a) and 60-741.5(a).

Job Description When you join Groundwater & Environmental Services, Inc. (GES), you are not a number – you become the reason for our success. You’ll have the opportunity to carve your own career path while working shoulder-to-shoulder with some of the most talented and dedicated professionals in the industry. By combining our unique talents and expertise, we help the world’s leading organizations solve their most complex environmental challenges. We work hard, and we have a lot of fun while we’re at it. Our core values are centered on doing what’s right – for our clients, our employees, and our community. Our employees benefit from a supportive, collaborative culture and an entrepreneurial spirit that promotes new ideas and shared learning. Groundwater & Environmental Services, Inc. (GES), an industry leader with a reputation for excellence in providing environmental consulting, engineering, compliance, and technical field services to clients in diverse market sectors, seeks an experienced Geologist or Environmental Scientist to support fieldwork and environmental remediation project activities in across Texas and LA. • Performs groundwater sampling, gauging and product bailing, and surveying., • Perform oversight of drilling activities (soil boring advancement and monitoring well installation events), • Collection of soil, groundwater, and air samples, • Support treatment system operation and maintenance (OM&M) activities., • Subcontractor coordination and oversight, • Compiles and completes field notes on each event/site., • Records data, prepares reports, provides analysis and interpretations of findings based on scientific experimentation and existing knowledge., • Completes quarterly groundwater monitoring reports., • Performs hydrogeological assessments regarding groundwater flows to identify contamination impact and related concerns., • Researches information relating to identifying geological formations and soil delineation studies and prepares reports and geological maps based on the findings., • A Bachelor's degree or higher in geology, environmental science, or related scientific discipline., • 1-4+ years of related experience., • The following knowledge / experience / certifications are a major plus, but not required, • Soil and groundwater sampling experience, • 40 HR OSHA Hazwoper, • Must be detail-oriented, and a team player with good communication, analytical, organization, and time management skills., • Requires local and regional travel (i.e. TN, KY) with overnights in a company-truck with all travel expenses paid up to 25% of the time. Our comprehensive benefits program includes: Hybrid workforce, medical, dental, vision, prescription, 401k, FSA, STD, LTD, New Parent Leave, 529 College Bound Fund, Tuition Assistance, Bonus Plan, and more. Employee benefits are available to regular full-time and part-time employees in accordance with our company policy. Groundwater & Environmental Services, Inc. (GES) believes that diversity and inclusion among our staff is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. At GES, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, gender, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity or expression, military and veteran status, and any other characteristic protected by law.

Job Description Empower Your Future: At MetOx International, we're pioneering the next era of energy security and abundance through breakthrough superconducting technology. As a Senior Data Scientist, you'll join a dynamic team committed to strengthening the world's energy systems to make them more resilient, efficient, and reliable. Based at our global headquarters in Houston, TX, the Senior Data Scientist will lead advanced analytics, modeling, and machine learning efforts across our manufacturing operations. In this role, you will partner closely with R&D, process engineering, quality, and operations to translate complex process challenges into data-driven insights that improve yield, quality, and scalability. This is a highly technical, hands-on role for someone who thrives at the intersection of process engineering, applied mathematics, and industrial data science, and who is excited to drive measurable impact in advanced materials manufacturing. Key Responsibilities • Process Analytics & Optimization, • Develops and deploys statistical models for process characterization, optimization, and quality control in superconductor manufacturing., • Designs and executes design of experiments (DOE) to identify critical process parameters and optimize production outcomes., • Implements statistical process control (SPC) methodologies including multivariate control charts and process capability analysis., • Conducts root cause analysis using advanced statistical techniques combined with process engineering knowledge., • Advanced Modeling & Machine Learning, • Builds physics-informed models that combine first-principles engineering with machine learning approaches., • Develops predictive models for yield optimization, defect detection, and predictive maintenance., • Applies time-series analysis and forecasting for process monitoring and anomaly detection., • Implements computer vision and machine learning solutions for automated quality inspection., • Mathematical Modeling & Simulation, • Applies advanced mathematical techniques including optimization theory, differential equations, and numerical methods to solve complex manufacturing challenges., • Develops digital twins and process simulation models for scenario analysis and process improvement., • Performs multivariate statistical analysis to understand complex interactions in manufacturing processes., • Builds decision support tools using mathematical optimization for production planning and resource allocation., • ⠀Data Infrastructure & Pipeline Development, • Designs and implements scalable data pipelines for real-time process monitoring across manufacturing operations., • Integrates data from multiple sources including SCADA systems, MES platforms, databases, and sensor networks., • Develops automated reporting systems for KPI tracking, process drift detection, and quality metrics., • Establishes best practices for data governance, version control, and reproducible research., • Technical Leadership & Collaboration, • Leads cross-functional data science projects involving R&D, process engineering, quality, and operations teams., • Mentors junior data scientists and engineers on statistical methods, machine learning, and best practices., • Translates complex process engineering challenges into tractable data science problems., • Communicates analytical findings and recommendations to technical and executive stakeholders., • Drives adoption of data-driven decision-making and advanced analytics across the organization., • Other duties as assigned Minimum Qualifications: • Bachelor's degree in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, Data Science, or related technical field., • 4 years of professional experience in data science or analytics within manufacturing, process engineering, or industrial R&D environments., • Demonstrated experience in statistical process control, design of experiments, and process optimization. Preferred Qualifications: • Master's or PhD in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, or related field., • Experience in process-intensive industries (semiconductor, chemical, pharmaceutical, or advanced materials manufacturing)., • Six Sigma Black Belt or equivalent process improvement certification., • Experience with superconductor manufacturing, electrochemistry, thin-film deposition, or related materials processes., • Publication record in process engineering, applied statistics, or machine learning., • Experience with industrial automation systems (SCADA, MES, OPC, MQTT). Knowledge, Skills, & Abilities: • Process Engineering & Domain Knowledge, • Deep understanding of manufacturing processes, unit operations, and process dynamics., • Expertise in statistical process control (SPC), process capability analysis (Cp, Cpk), and control chart theory., • Proficiency with design of experiments including factorial designs, response surface methodology, and Taguchi methods., • Knowledge of quality management systems and continuous improvement methodologies., • Strong foundation in mathematical modeling and advanced statistical methods, • Expert knowledge of multivariate statistics, time-series analysis, hypothesis testing, and Bayesian inference., • Strong foundation in linear algebra, calculus, differential equations, and optimization theory., • Experience with dimensionality reduction techniques (PCA, PLS, factor analysis)., • Understanding of numerical methods and computational algorithms., • Machine Learning & AI, • Advanced proficiency in machine learning techniques including regression, classification, ensemble methods, and neural networks., • Experience with computer vision and deep learning frameworks (TensorFlow, PyTorch, YOLO, etc.)., • Knowledge of model validation, cross-validation, and hyperparameter optimization., • Familiarity with MLOps practices for model deployment and monitoring., • Technical Programming & Tools, • Expert-level programming in Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Plotly)., • Proficiency with statistical analysis software (Minitab, JMP, or equivalent)., • Advanced SQL skills for complex data extraction and manipulation from manufacturing databases., • Experience with version control (Git), containerization (Docker), and CI/CD practices., • Familiarity with data visualization platforms (Grafana, Tableau, Power BI, Metabase)., • Soft Skills & Leadership, • Exceptional analytical and problem-solving abilities with attention to detail., • Strong communication skills with ability to explain complex mathematical and statistical concepts to diverse audiences., • Proven ability to lead projects and mentor team members., • Self-motivated with ability to work independently and manage multiple priorities., • Collaborative mindset with experience working across engineering, operations, and business functions., • Strategic thinking with ability to connect data insights to business objectives. Physical Demands: This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs. MetOx is proud to offer competitive benefits including: • Health, dental, and vision available on the first day of employment, • 401(k) match, • Paid parental leave & adoption assistance, • Educational reimbursement, • And more! We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Description The Space Radiation Analysis Group (SRAG) is seeking an experienced radiation scientist or analyst to support astronaut space radiation exposure assessment, risk modeling, and communication across exploration programs, including the International Space Station (ISS), Artemis, and Mars reference missions. This role requires expertise in space radiation dosimetry, transport modeling, radiation biology, and evidence-based human health risk assessment. The successful candidate will apply scientific and computational skills to characterize radiation exposures, assess health risks, and develop strategies to ensure astronaut safety and mission success. Must be able to obtain a Public Trust Security Clearance; due to contract requirements, U.S. Citizenship or U.S. Permanent Residency are required. Essential Duties & Responsibilities: • Serve as a subject matter expert on space radiation health risks, including cancer, CNS, cardiovascular, acute, and degenerative effects., • Direct and manage reviews of radiation health outcome evidence and countermeasure research., • Evaluate, synthesize, and present multidisciplinary findings relevant to astronaut risk models and international guidelines (NCRP, ICRP, BEIR, UNSCEAR)., • Maintain and curate a structured literature and evidence database for NASA and partner teams., • Translate biological and epidemiological research into operational risk frameworks and mitigation strategies., • Perform astronaut radiation exposure analyses for ISS, Artemis, and other missions. Operational & Communication Responsibilities: • Develop and present outreach materials and technical communications on emerging space radiation research., • Translate real-time space environment data into operational guidance during nominal, alert, and contingency radiation events., • Assist Space Environment Officers in flight rule development., • Provide group training on space radiation health risks. Knowledge, Skills & Abilities: • Energetic and positive attitude with learning agility and self-direction., • Strong organizational skills and ability to manage multiple concurrent analyses., • Excellent oral and written communication skills, with the ability to convey complex technical results to diverse audiences., • Critical and creative thinking, with demonstrated ability to synthesize across disciplines (physics, biology, medicine)., • Consensus-building skills within cross-functional NASA and contractor teams. Required Education & Experience: • Master’s degree in Physics, Radiation Health, Medical Physics, or a related discipline with ≥1 year of experience; or Ph.D. in a related field with ≥0.5 years of relevant experience., • Demonstrated experience with radiation transport tools (e.g., HZETRN, GEANT4, FLUKA, MCNP)., • Working knowledge of space radiation dosimetry and exposure assessment methodologies. Desired Education and Experience: • Advanced graduate degree in Radiation Biophysics/Biology., • Familiarity with tools such as Analytica, Zotero, Confluence, and computational languages (FORTRAN, C++, MATLAB, Python)., • Comprehensive understanding of NRC, NCRP, ICRP, BEIR, and UNSCEAR guidelines., • Knowledge of radiation-induced cancer risk assessment methods, SEER databases, and foundational literature on radiation cancer risk models. Join SRAG and contribute to groundbreaking research and operational strategies that ensure astronaut safety and advance human space exploration! Come break things (in a good way). Then build them smarter. We're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.” December 17, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Unlock opportunities for professional advancement & skill development. A well-established P&C client is looking for a data scientist with at least 7 years of predictive modeling experience. In this key technical position, you will design and build pricing & underwriting models, oversee end-to-end model development, and own data management for the modeling function. The ideal candidate will have a P&C insurance background, preferably in personal property pricing or commercial lines property. Must have strong collaboration skills, hands-on modeling experience with large-scale datasets, and expertise in SQL, R, or Python. (#57997) Compensation: • Salary range of $110-160K Locations:, • Remote, • Kingston, NY

Job Description EnSafe is accepting applications for a Senior Technical Professional to join our team in one of our primary office locations, which include: Charleston, South Carolina; Houston, Texas; Jacksonville, Florida; Pensacola, Florida; Huntsville, Alabama; and Memphis, Tennessee. Candidates must be willing to work at an EnSafe Office location listed above. Relocation assistance is available to meet this expectation. What We Are Looking for: A Senior Technical Professional who is a problem-solver and environmental strategist who can provide senior technical support to multiple project teams. An Engineer/Geologist/Environmental Scientist who enjoys working on various projects in an environment that fosters creativity, collaboration at all levels, and professional growth. EnSafe empowers staff to practice our profession passionately and without limitations. What You Will Be Doing: • Providing senior technical support to project teams working across multiple offices nationwide, including strategic problem-solving, regulatory support, and meeting with clients and subcontractors., • Overseeing the quality assurance/quality control of deliverables for projects and tasks managed by others., • Reviewing Work Plans and/or Sampling and Analysis Plans, as well as other project deliverables (e.g., Remedial Investigations, Feasibility Studies, Proposed Plans, Records of Decisions, Five-Year Reviews) developed by project teams., • Preparing high-level technical reports, as needed, to support complex strategic or regulatory issues., • Working with dynamic project teams and mentoring junior staff., • Maintaining and developing relationships with existing EnSafe clients through excellent quality of work, responsiveness, and service., • Project sites will include Superfund sites, large, complex federal facilities/military installations, and commercial/industrial properties. What You Will Need: • U.S. Citizenship is required., • BS in Geology, Engineering, Biology, Chemistry, Environmental Science, or related field., • Minimum of 12 years of experience., • Knowledge and experience navigating projects under RCRA and CERCLA frameworks., • Experience preparing Uniform Federal Policy Sampling and Analysis Plans., • Experience working on projects under the Department of Defense., • Previous experience executing projects under federal assessment, remediation, and munitions programs., • Previous experience with PFAS investigation, fate and transport, and response actions., • Knowledge and understanding of chemistry/data validation, statistics, modeling, and risk assessment, sufficient to coordinate with specialty teams/subject matter experts on a routine basis. About Us: EnSafe began as a two-person firm in 1980, navigating complex regulatory compliance issues on behalf of our clients. We nurture our people with growth and development opportunities. We build enduring, trustful relationships with each of our clients, with a focus on high ethical, quality, and safety standards. We maintain and enrich this reputation by attracting high-quality people and retaining them for the long term. At EnSafe, we are dedicated to fostering a diverse and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles at our company. EnSafe is committed to being an EEO employer and all qualified candidates will receive consideration without regard to race, color, religion, national origin, citizenship, age (except for bona fide occupational qualifications), sex, disability, sexual orientation, gender identity, marital status, military or veteran status, any other status protected by federal, state, or local law, or association with a person on the basis on one or more of the foregoing. Check us out on the web at #LIMJ

Launch Your Career with Cook Systems Ready to elevate your career? ___, a certified veteran-owned IT consulting firm, has been transforming businesses and careers since 1990. Whether you’re aiming to work with a Fortune 500 company or a small business, we’ve got you covered. Our core values—integrity, investment, and innovation—drive everything we do, ensuring you grow and succeed in a dynamic, supportive environment. We understand the importance of work-life balance and personal growth. Our cutting-edge IT consulting partners and FastTrack talent program are designed to help you excel. Join our forward-thinking team where excellence and creativity are valued every day. Check out what our associates have to say on ___. Ready to take your career to new heights? Cook Systems is where your journey to success begins! Summary: As an Industrial Data Scientist & Optimization Specialist Consultant, you will be integral to designing, implementing, and commissioning advanced analytics projects. Your work will support the Digital Industrial Transformation strategy through developing, maintaining, and improving mathematical optimization models. This role offers the opportunity to drive strategic transformation and positively impact industrial operations. Responsibilities: • Translate industrial and operational needs into advanced analytics requirements and insights., • Design and implement industrial data science solutions to optimize performance, quality, and maintenance., • Develop and deploy energy optimization solutions, including the complete industrialization process., • Effectively communicate complex analytical results and ideas to stakeholders and decision-makers., • Train and support engineers in advanced analytics and optimization techniques., • Research and develop optimization algorithms focusing on energy efficiency and sustainability. Qualifications: • Master's degree or equivalent in Chemical Engineering, Process Systems Engineering, Mathematics, Computer Science, or a related quantitative field with a strong chemical/process background and specialization in Data Science, Machine Learning, Modeling, Simulation, and/or Optimization., • Relevant work experience in Data Science techniques and technical skills in developing mathematical optimization solutions for complex real-world problems within chemical industrial operations., • Minimum of 7 years of experience preferred., • Strong background in chemical and process engineering with expertise in applying mathematical optimization techniques and using tools like CPLEX and Gurobi., • Proficient in machine learning, including supervised, unsupervised, and reinforcement learning, with hands-on skills in Python, Azure, and Dataiku., • Experienced in handling and querying industrial data from historian databases (e.g., PI, IP21) and using tools like Power BI and SEEQ for analysis and visualization. #L1-Onsite Why Work with Us At Cook Systems, we don’t just offer jobs—we build futures. Our team is the heart of everything we do, and we’re committed to supporting you with benefits that go beyond the basics. We want you to feel secure, valued, and empowered from the very beginning of your journey with us. When you join Cook Systems, here’s what you can look forward to: • Your Health, Your Way: Choose from two comprehensive medical plans through Blue Cross Blue Shield, complete with dental and vision coverage. With access to one of the nation’s largest networks, you’ll get the care you need for yourself and your family—wherever life takes you., • Peace of Mind, Every Step of the Way: Protect what matters most with life, critical illness, and accident insurance through Unum. Because your loved ones deserve security no matter what the future holds., • Flexibility for Life’s Needs: Save money and plan ahead with a Flexible Spending Account and Daycare FSA through Navia, helping you manage healthcare and dependent care expenses on your terms., • Bridging the Gaps: Unexpected costs? No problem. Our Health Gap Insurance through Sunlife helps ensure you’re covered when it counts., • Your Future Starts Now: Dream big with our 401(k) retirement plan through The Standard. After just six months, you will be eligible to participate, because your future deserves a strong foundation. At Cook Systems, you’re not just another employee—you’re a vital member of our team. Here, your ideas matter, your contributions shine, and your career will thrive. Together, we innovate, grow, and celebrate success every step of the way. Are you ready to be part of something bigger? Let’s build the future together at Cook Systems. #IND1 #LI-CS1

Data Scientist - Energy (Oil & Gas) Houston, TX (Hybrid) About this position: Context Labs is seeking a Data Scientist to support the deployment of Context Labs’ Decarbonization as a Service™ platform, built on our Immutably™ Data Fabric technology. The candidate will perform research and analysis required by customer projects to deploy data-driven business products related to greenhouse gas mitigation within the energy industry. Responsibilities include understanding, integration, testing and analysis of data from a wide variety of data sources, developing and documenting methodology for scalable emissions analytics, building and testing predictive models for the anomaly detection and other use cases. This is a diverse role requiring skills from software development to applied mathematics and statistics. This position reports to the Data Science Architect. In this role you will: • Perform exploratory and diagnostic data analysis to derive business insights., • Implement emissions calculations in robust and reproducible way., • Apply state-of-the-art data mining and machine learning methods to real-world problems., • Develop and validate predictive models using classification, regression, or time series techniques., • Process, cleanse, and verify the integrity of data used for analysis., • Work with engineering and business stakeholders to define requirements and resolve ambiguities., • Communicate results and insights clearly to both technical and non-technical audiences., • Succeed by exhibiting strong curiosity and problem-solving mindset., • Collaborate closely with colleagues in our Cambridge, MA, and Amsterdam, NL offices., • Contribute to an agile, cross-functional team culture of continuous learning., • Anything else as may reasonably be required by the company. Experience: Domain Expertise • Industry experiences working with energy, utilities or industrial datasets (e.g., oil and gas, renewables, or emissions)., • Familiarity with concepts from engineering system modeling, thermodynamics, or process simulation. Data Science & Analytics • Strong skills in Exploratory Data Analysis (EDA), feature engineering and data storytelling., • Proficient in Python for data science and machine learning, using tools like scikit-learn, XGBoost, NumPy and Pandas., • Experience developing and validating supervised ML models (classification, regression and time-series)., • Comfortable working with large, messy datasets in cloud-based environments., • Ability to communicate complex analytical findings clearly to a variety of stakeholders., • Familiarity with SQL or other structured query tools. Bonus if you have: • Familiarity with Pyspark, Delta Lake or other distributed computing tools., • Experience deploying models using lightweight frameworks (eq. Flask, FastAPI, Streamlit)., • Knowledge of data ontologies, knowledge graphs or semantic modeling., • PhD or academic research experience in a related discipline (e.g. Chemical, Mechanical or Petroleum Engineering, Data Science, or Computer science and engineering)., • Experience with emissions estimation or climate analytics. Why you’ll like it here: • Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery., • We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change., • Context Labs’ mission is to transform complex data into continuously proven information. Powered by Immutably™, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world’s most complicated, persistent problems. We understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you’re interested in applying, please do so. Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at . Who we are: Context Labs is dedicated to sourcing, organizing, and contextualizing the world’s climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data (AGD™), providing insights and solutions to inform markets. Context Labs mission is to provide the world’s trusted data fabric platform, delivering Asset Grade Data to customers using the Immutably™ Enterprise Data Fabric platform, deploying machine learning, Artificial Intelligence, and cryptographic blockchain technologies, for context-driven insights. Building on the Immutably™ Enterprise Data Fabric platform, the company has deployed customer service layers (1) Decarbonization-as-a-Service™ (DaaS™), tailored to accelerate the Global Energy Transition, and its (2) CLEAR Path™ platform to enable customers to optimize value creation with the highest quality carbon credits. The company was formed out of MIT (Massachusetts Institute of Technology) research and is comprised of a leadership team that has been instrumental in the at-scale growth of the Internet, in prior companies. The company has offices in Amsterdam, Cambridge, Mass., and Houston. We are a team that is hiring and growing! Learn more about Context Labs here:

Location: Hattie Mae White Department: IT - BI DW - Data Warehouse Area:Northwest Contract Months:12 Salary Range: $84,127.00 – $138,810.00 Academic Year: 25-26 The Data Scientist – Strategic Data Intelligence supports the development of analytical models, dashboards, and insights that inform key district decisions in areas such as attendance, student achievement, staffing, and equity. This role transforms complex data into meaningful stories using statistical techniques and visualization tools. The Data Scientist collaborates with senior analysts, engineers, and business leaders to generate insights from both instructional and operational data, playing a vital role in building a data-driven culture within Houston ISD. 1. Assist in developing predictive models and trend analyses that support planning and program evaluation., 2. Prepare data from Microsoft Fabric, SIS, ERP, and external systems for analysis., 3. Design Power BI dashboards that present key performance indicators and support data storytelling., 5. Support pilot studies and evaluations of new academic or operational initiatives., 6. Conduct exploratory data analysis to uncover patterns and actionable insights., 7. Document code, logic, and assumptions used in statistical work., 8. Stay informed on new methods, tools, and educational research practices., 9. Perform other job-related duties as assigned. Bachelor’s degree in statistics, mathematics, data science, public policy, or a related field required. Master’s preferred. Minimum of 3 years in applied data analytics, educational research, or statistical analysis. Prior work in public education, nonprofits, or social policy analytics a plus. • Proficiency in SQL, Power BI, and at least one statistical programming language (Python, R, or Stata), • Strong ability to interpret and visualize complex datasets, • Familiarity with public education data and performance indicators, • Excellent written and verbal communication skills, • Ability to collaborate with cross-functional teams and meet tight deadlines, • Certifications in data analytics or visualization tools a plus None. Works under the direction of the Senior Data Scientist and Director. May lead project-specific tasks. Works independently on defined tasks and applies analytical thinking to identify trends and anomalies. None. Identifies inconsistencies or limitations in datasets and proposes methods to address or adjust for them. Findings influence program evaluations, academic interventions, and resource allocations. Collaborates with data engineers, academic teams, and decision-makers. Explains findings to both technical and non-technical audiences. Builds positive relationships with internal stakeholders by delivering thoughtful, user-centered data solutions. Office environment. Must balance multiple short- and long-term projects in a fast-paced setting, hybrid setting available. Houston Independent School District is an equal opportunity employer.

Project Lead Experience Building Data Sets Presenting to A-C level executives Must have Cogito experience AWS Certification is a MUST Key Responsibilities • Team Management: Lead and mentor a team of data scientists, machine learning engineers, and big data specialists to foster professional growth and collaboration., • Project Planning: Oversee the planning and execution of data science projects, ensuring alignment with organizational goals and objectives., • Model Development: Build and optimize analytical models using machine learning, natural language processing, and statistical techniques to derive insights from large datasets., • Data Analysis: Analyze various data sources, including procurement, supply chain, and healthcare data, to inform business strategies and product development., • Problem Solving: Identify and address data development challenges, proposing innovative solutions to enhance data utilization across the organization., • Methodology Development: Lead the development and maintenance of methodologies that support product offerings, including statistical modeling and time-series analysis., • Stakeholder Collaboration: Work closely with business leaders and other departments to communicate analytical findings and drive data-driven decision-making., • Educational Background: Typically requires a Masters or Ph.D. in Statistics, Computer Science, Mathematics, or a related field., • Technical Expertise: Proficiency in data manipulation, visualization, and machine learning techniques, with experience in programming languages such as Python, R, or SQL., • Analytical Skills: Strong problem-solving abilities and a knack for statistical analysis to interpret complex data sets effectively., • Leadership Skills: Experience in managing teams and projects, with the ability to mentor junior data scientists and foster a collaborative environment., • Communication Skills: Excellent verbal and written communication skills to convey complex analytical concepts to non-technical stakeholders.

Empower Your Future: At MetOx International, we’re pioneering the next era of energy security and abundance through breakthrough superconducting technology. As a Senior Data Scientist, you’ll join a dynamic team committed to strengthening the world’s energy systems to make them more resilient, efficient, and reliable. Based at our global headquarters in Houston, TX, the Senior Data Scientist will lead advanced analytics, modeling, and machine learning efforts across our manufacturing operations. In this role, you will partner closely with R&D, process engineering, quality, and operations to translate complex process challenges into data-driven insights that improve yield, quality, and scalability. This is a highly technical, hands-on role for someone who thrives at the intersection of process engineering, applied mathematics, and industrial data science, and who is excited to drive measurable impact in advanced materials manufacturing. Key Responsibilities • Process Analytics & Optimization, • Develops and deploys statistical models for process characterization, optimization, and quality control in superconductor manufacturing., • Designs and executes design of experiments (DOE) to identify critical process parameters and optimize production outcomes., • Implements statistical process control (SPC) methodologies including multivariate control charts and process capability analysis., • Conducts root cause analysis using advanced statistical techniques combined with process engineering knowledge., • Advanced Modeling & Machine Learning, • Builds physics-informed models that combine first-principles engineering with machine learning approaches., • Develops predictive models for yield optimization, defect detection, and predictive maintenance., • Applies time-series analysis and forecasting for process monitoring and anomaly detection., • Implements computer vision and machine learning solutions for automated quality inspection., • Mathematical Modeling & Simulation, • Applies advanced mathematical techniques including optimization theory, differential equations, and numerical methods to solve complex manufacturing challenges., • Develops digital twins and process simulation models for scenario analysis and process improvement., • Performs multivariate statistical analysis to understand complex interactions in manufacturing processes., • Builds decision support tools using mathematical optimization for production planning and resource allocation., • ⠀Data Infrastructure & Pipeline Development, • Designs and implements scalable data pipelines for real-time process monitoring across manufacturing operations., • Integrates data from multiple sources including SCADA systems, MES platforms, databases, and sensor networks., • Develops automated reporting systems for KPI tracking, process drift detection, and quality metrics., • Establishes best practices for data governance, version control, and reproducible research., • Technical Leadership & Collaboration, • Leads cross-functional data science projects involving R&D, process engineering, quality, and operations teams., • Mentors junior data scientists and engineers on statistical methods, machine learning, and best practices., • Translates complex process engineering challenges into tractable data science problems., • Communicates analytical findings and recommendations to technical and executive stakeholders., • Drives adoption of data-driven decision-making and advanced analytics across the organization., • Other duties as assigned Minimum Qualifications: • Bachelor's degree in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, Data Science, or related technical field., • 4 years of professional experience in data science or analytics within manufacturing, process engineering, or industrial R&D environments., • Demonstrated experience in statistical process control, design of experiments, and process optimization. Preferred Qualifications: • Master’s or PhD in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, or related field., • Experience in process-intensive industries (semiconductor, chemical, pharmaceutical, or advanced materials manufacturing)., • Six Sigma Black Belt or equivalent process improvement certification., • Experience with superconductor manufacturing, electrochemistry, thin-film deposition, or related materials processes., • Publication record in process engineering, applied statistics, or machine learning., • Experience with industrial automation systems (SCADA, MES, OPC, MQTT). Knowledge, Skills, & Abilities: • Process Engineering & Domain Knowledge, • Deep understanding of manufacturing processes, unit operations, and process dynamics., • Expertise in statistical process control (SPC), process capability analysis (Cp, Cpk), and control chart theory., • Proficiency with design of experiments including factorial designs, response surface methodology, and Taguchi methods., • Knowledge of quality management systems and continuous improvement methodologies., • Strong foundation in mathematical modeling and advanced statistical methods, • Expert knowledge of multivariate statistics, time-series analysis, hypothesis testing, and Bayesian inference., • Strong foundation in linear algebra, calculus, differential equations, and optimization theory., • Experience with dimensionality reduction techniques (PCA, PLS, factor analysis)., • Understanding of numerical methods and computational algorithms., • Machine Learning & AI, • Advanced proficiency in machine learning techniques including regression, classification, ensemble methods, and neural networks., • Experience with computer vision and deep learning frameworks (TensorFlow, PyTorch, YOLO, etc.)., • Knowledge of model validation, cross-validation, and hyperparameter optimization., • Familiarity with MLOps practices for model deployment and monitoring., • Technical Programming & Tools, • Expert-level programming in Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Plotly)., • Proficiency with statistical analysis software (Minitab, JMP, or equivalent)., • Advanced SQL skills for complex data extraction and manipulation from manufacturing databases., • Experience with version control (Git), containerization (Docker), and CI/CD practices., • Familiarity with data visualization platforms (Grafana, Tableau, Power BI, Metabase)., • Soft Skills & Leadership, • Exceptional analytical and problem-solving abilities with attention to detail., • Strong communication skills with ability to explain complex mathematical and statistical concepts to diverse audiences., • Proven ability to lead projects and mentor team members., • Self-motivated with ability to work independently and manage multiple priorities., • Collaborative mindset with experience working across engineering, operations, and business functions., • Strategic thinking with ability to connect data insights to business objectives. Physical Demands: This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs. MetOx is proud to offer competitive benefits including: • Health, dental, and vision available on the first day of employment, • 401(k) match, • Paid parental leave & adoption assistance, • Educational reimbursement, • And more! We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We are looking for a Lead AI/Data Scientist for our top Energy Trading client. We need someone who is a do-er with proven execution experience. This is a full-time position without sponsorship. This position is onsite 5 days a week in Houston.

WORKSITE: 1430 Enclave Pkwy, Houston, TX 77077 Be responsible for guiding the successful delivery of analytic solutions to internal customers. Design and execute research and tackle open-ended data problems related to AI, ML, predictive modeling, data mining, and research on large-scale, complex data sets using statistical, machine learning, graph modeling, text mining, and other modern techniques. Collaborate with various teams and provide periodic updates through presentations and prototype demonstrations. The role involves working on multiple projects simultaneously and formulating key business requirements. Help to develop, analyze, draw conclusions, and present results to business users. Research and assess next-generation technologies for data-driven solutions in digital production. Generate innovative ideas, establish new research directions, and shape and execute technical projects. Develop data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization. Work with business and engineering teams to implement robust and scalable industrial software solutions. Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Communicate ideas, plans, and results effectively through oral and written reports. Participate in technical forums, events, and conferences. Apply experience in digital production, machine vision, and Generative AI using large language models (LLMs). Work with technology platforms such as Dataiku, Google Cloud Platform (GCP), and Microsoft Azure. MINIMUM EDUCATION: Master's degree in Computer Science or related disciplines (e.g., Mathematics, Applied Science, Engineering) with demonstrated research capability. MINIMUM EXPERIENCE: 3 years of experience as Data Scientist in data analytics, machine learning, data visualization, cloud platform technologies, digital production, machine vision, Generative AI using large language models (LLMs), technology platforms such as Dataiku, Google Cloud Platform (GCP), Microsoft Azure, and oil and gas domain knowledge. -

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools., • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks., • Collaborate with data scientists to translate models into production-ready code., • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise., • Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model., • Expereince implementing scenario simulation algorithms., • Work independently to break down complex problems into actionable development tasks., • Ensure code quality, scalability, and maintainability in a production environment., • Contribute to sprint planning, documentation, and cross-functional collaboration., • Collaborate, coach, and learn with a growing team of experienced Data Scientists., • Stay connected with external sources of ideas through conferences and community engagements, • 8 years of experience working as a Data Scientist, • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research., • Proficiency in Python, SQL, and PySpark., • Experience with Databricks or similar enterprise cloud environments., • Experience with production-level coding and deployment practices., • Familiarity with basic machine learning techniques and mathematical optimization methods., • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.

Location: Hattie Mae White Department: IT - BI DW - Data Warehouse Area:Northwest Contract Months:12 Salary Range: $92,540.00 – $152,691.00 Academic Year: 25-26 The Senior Data Scientist – Strategic Data Intelligence leads advanced analytics, modeling, and predictive insights for Houston ISD’s enterprise systems. This role focuses on data from Finance, Budgeting, Procurement, HR, and other ERP domains. The Senior Data Scientist works across departments to develop models that inform operational decision-making, forecast resource needs, and identify efficiency opportunities. The role plays a key part in ensuring HISD leverages Microsoft Fabric and Power BI to build intelligent, automated data tools that support a modern, cloud-based ERP landscape. 1. Build and maintain statistical and machine learning models using data from enterprise systems., 2. Partner with Finance, HR, Procurement, and Budgeting teams to understand strategic data needs., 3. Develop forecasts, classification models, or cluster analyses to optimize operations., 5. Publish clear documentation and visual explanations of findings to both technical and non-technical audiences., 6. Collaborate with data engineers and architects to ensure models are reproducible and scalable., 7. Evaluate external datasets and economic indicators to enhance district forecasting., 8. Mentor other analysts and data professionals within the department., 9. Perform other job-related duties as assigned. Master’s degree in data science, statistics, applied mathematics, or related quantitative field required. Ph.D. preferred. Minimum of 6 years in data science, analytics, or quantitative research. Experience with ERP or operational systems in education, government, or large enterprises preferred. • Advanced experience with Python, R, or other statistical programming languages, • Strong SQL and data modeling skills, • Experience using Power BI and Microsoft Fabric for data analysis, • Knowledge of ERP data structures (finance, HR, procurement), • Strong communication and data storytelling abilities, • Preferred certifications: Microsoft Certified: Data Scientist Associate, Azure Data Scientist Associate Serves as a senior contributor and thought leader within the Strategic Data Intelligence team. May lead projects or mentor junior analysts. Applies independent judgment to solve complex, ambiguous problems. Chooses modeling approaches, variables, and algorithms based on context and stakeholder needs. May provide input on software, tools, or external data subscriptions needed to support modeling. Translates large-scale, messy data into actionable insights and predictive tools. Identifies gaps and inefficiencies in data collection or usage. Models and forecasts directly influence staffing, budgeting, procurement, and other enterprise decisions across HISD. Presents models, insights, and scenarios to senior district leadership, department heads, and peer analysts. Provides expert-level support to business units seeking to improve operations using predictive and statistical tools. Office or hybrid setting. Extended screen time and data review required. May work long hours during major forecasting periods. Houston Independent School District is an equal opportunity employer.