operations research scientist

University Of Washington

<div>Job Description
The GTMBA is a multi-national effort to provide high-quality moored buoy data in real-time for climate research and
forecasting. This position supports the deployment and maintenance of deep-ocean moored buoys in the global tropics to provide high-quality oceanographic and surface meteorological data for monitoring, forecasting, and understanding of the world&rsquo;s climate.
Job Duties
<ul><li>Cruise Planning (25%):
<ul><li>Frequently meets with GTMBA Management to ensure project objectives are on track and well executed.
</li><li>Prepares internal operational and logistics plans, including sensor and acoustic release needs, cruise operational plan, and mooring hardware design documents based on research priorities.
</li><li>Prepares detailed cruise planning documents for distribution to foreign partners. Initiates and maintains timely planning dialogue and logistics coordination with foreign and domestic partners on various platforms including vessels operated by NOAA, National Science Foundation (NSF), chartered vessels and international partners.
</li><li>Prepares health and safety documents for sea-going staff.
</li><li>Schedules, prepares, and leads pre- and post-cruise meetings.
</li><li>Assembles mooring equipment inventories and coordinates mooring plans with PMEL Engineering Division and PMEL mooring shop.
</li></ul></li></ul><ul><li>Coordinating Field Operations (30%):
<ul><li>Serves as primary point of contact within the project for field operations. Maintains communications with project personnel and international partners during research cruises to ensure critical time-sensitive information is received and necessary actions are taken.
</li><li>Performs real-time data quality analysis of wind, temperature, humidity, rainfall, shortwave and longwave radiation, barometric pressure, salinity and current velocity data from moored buoys and various other data sources.
</li><li>Maintains field operations statistics database.
</li><li>Prepares documentation related to scheduling and procurement of ship time as liaison between international partners, Project Director, Project Manager, and NOAA contracting officials.
</li><li>May assist Project Logistics Manager with shipping logistics as needed.
</li><li>Represents the GTMBA project on International Vandalism committee.
</li><li>Maintains intranet tables and documents relevant to GTMBA operations.
</li><li>Fields, directs and/or responds to public requests for GTMBA information, data, and graphics.
</li></ul></li></ul><ul><li>Supervising and Instrumentation Lab Management (30%):
<ul><li>Supervises junior scientist(s). Work with employee(s) to establish goals and performance time lines. Mentors employee(s) and serve as employee advocate. Conducts employee performance reviews.
</li><li>Serves as liaison between project mooring technicians, data scientists and managers. This includes writing and compiling notes that document instrument tests and upgrades, field experiments, procedural changes, software bugs, etc.
</li><li>Coordinates cruise staffing schedules and designates staffing assignments.
</li><li>Leads regular instrumentation lab staff meetings.
</li><li>Reviews and approves CICOES Travel / budget allocation for GTMBA.
</li><li>Coordinates and directs safety training for CICOES GTMBA employees.
</li></ul></li></ul><ul><li>Chief Scientist or Mooring Lead during GTMBA Cruises (15%):
<ul><li>May serve as Chief Scientist on GTMBA Cruises or senior technical representative on ships of opportunity whether domestic or international. Responsible for the successful recovery/deployment of GTMBA surface and subsurface moorings while at sea. This includes directing project staff and consulting with the ship&rsquo;s personnel in safely performing the deployments/ recovery mooring operations within the capabilities and limitations of the platform and crew.
</li><li>Lead and supervise moored buoy operations at sea during research cruises. Observe system components that are mounted on moored buoy platforms deployed from oceanographic research vessels and other large ships in a remote, deep ocean environment. Operate and maintain vessel-based oceanographic sensors, meteorological sensors, and mooring equipment.
</li><li>Planning and operational management of the GTMBA requires extensive and comprehensive experience with moored array buoy systems, including data management and field operations. The individual must have the ability to assess and make informed decisions on operational requirements that are critical to the success of the project. The work requires innovative and skillful improvisation to accommodate changing requirements that may arise as a result of programmatic shifts, changes in ship allocations, weather, and other emergencies. The field programs within the Project are international in nature and the individual must have the expertise to deal with a variety of technical, logistical, and cultural issues that develop in the execution of the Project&rsquo;s efforts. The individual must have demonstrated the ability to effectively present project objectives, plans and accomplishments to foreign and domestic research partners and have strong verbal and written skills.
</li><li>Real-time data quality analysis and operational communications activities require an on-call duty status on most weekends. Incumbent will be expected to train project personnel and international technicians and programmers in data management procedures and may supervise junior data management personnel. Research results are prepared for publication in conjunction with the principal investigator.
</li></ul></li></ul>Minimum Requirements
<ul><li>Master&rsquo;s Degree in Marine Science, Environmental Science, Physics, Engineering or related fields
</li><li>Four years of relevant experience
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul>Desired Qualifications
<ul><li>Knowledge of operations management and personnel management principals.
</li><li>Knowledge of ship-board oceanographic operations and experience working at sea.
</li><li>Demonstrated skill (at least 2 years of experience) with supervising employees.
</li><li>Demonstrated strong skill in verbal and written communication.
</li><li>Skill in monitoring/assessing the performance of individuals or organizations to make improvements or take corrective action.
</li><li>Skill in completing assignments accurately and with attention to detail.
</li><li>Skill with handling a variety of technical, logistical, and cultural issues that develop during field operations.
</li><li>Skill in data management.
</li><li>Ability to plan, assign, and/or supervise the work of others.
</li><li>Ability to plan, implement, and evaluate programs.
</li><li>Ability to occasionally work evenings, nights, and weekends as necessary.
</li><li>Ability to assess and make informed decisions on operational requirements critical to the success of the project.
</li><li>Ability to improvise and accommodate changing or unanticipated requirements.
</li><li>Demonstrated ability to effectively present project objectives, plans and accomplishments to research partners
</li><li>Knowledge of generally accepted accounting procedures and principles.
</li><li>Knowledge of budget control methods, policies, and procedures.
</li><li>Skill and comprehensive experience with moored array buoy systems
</li><li>Skill and experience conducting oceanographic field operations in foreign countries or with foreign institutions
</li><li>Skill with map-making software
</li><li>Ability to serve as Chief Scientist or senior technical representative on oceanographic research cruises
</li><li>Ability to maintain internet and intranet web pages
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$99,444.00 annual
Pay Range Maximum:
$120,000.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a temporary position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Research Scientist/Engineer IV- Field Research Operations Manager (Temporary)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. 
 
Key job responsibilities 
<ul><li>Solve large scale and complex optimization problems for operating satellite constellations</li><li>Work with our peer teams and customers to design suitable software systems to fulfill the mission needs.</li><li>Write code for production cloud native software systems in Java and Python.</li><li>Utilize AWS and other Amazon technologies to build high-available software services.</li><li>Help on-board and mentor new team members.</li><li>Lead technical roadmap definition efforts and decide what software services to build.</li></ul> 
Export Control Requirement 
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. 
 
A day in the life 
As a Senior Applied Scientist, you will play a crucial role in the development of services to support the automation of the Leo mission. You will work with a dynamic group of passionate engineers and collaborators across peer teams to identify automation needs, design novel solutions that meet customer requirements, and write software to automate key behaviors for our constellation's space and ground assets. You will be building low-latency, highly-scalable architecture to generate and execute our mission plans safely and effectively. 
 
About the team 
The team builds software which supports the automated planning and execution of satellite activities, empowering humans to automate key tasks and take themselves out of the loop as we scale the Leo constellation. We own services that model spacecraft behaviors, predict future vehicle state, capture operational constraints on our system, and generate mission schedules that serve our customers while preserving vehicle health and safety.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Master's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Redmond - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Leo Autopilot

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Staff Data Scientist I &ndash; Matching, you will own the end-to-end matching and dispatch architecture for Careem&rsquo;s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.
 
 
 This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.
 
 
 
 
 What You'll Do
 
 
 
 
 
 1. Matching &amp; Dispatch Architecture Ownership
 
 
 
 <ul>
 <li>
 Design and own the end-to-end matching and dispatch systems for Food &amp; Groceries.
 </li>
 <li>
 Architect scalable assignment frameworks incorporating:
 </li>
 <ul>
 <li>
 Static and dynamic assignment
 </li>
 <li>
 Online matching under uncertainty
 </li>
 <li>
 Batch and pooling optimization
 </li>
 <li>
 Continuous re-optimization with dynamic events
 </li>
 </ul>
 <li>
 Establish robust optimization standards and best practices across the organization.
 
 
 </li>
 </ul>
 
 2. Multi-Objective Optimization &amp; Algorithm Development
 
 
 
 <ul>
 <li>
 Formulate and implement multi-objective optimization models balancing:
 </li>
 <ul>
 <li>
 Cost minimization
 </li>
 <li>
 SLA compliance
 </li>
 <li>
 Marketplace efficiency
 </li>
 </ul>
 <li>
 Develop and deploy:
 </li>
 <ul>
 <li>
 Min-cost flow and assignment models
 </li>
 <li>
 Graph-based optimization frameworks
 </li>
 <li>
 Custom solvers and OR-Tools based solutions
 </li>
 </ul>
 <li>
 Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
 </li>
 <li>
 Continuously refine matching quality under high-scale marketplace conditions.
 
 
 </li>
 </ul>
 
 3. Real-Time Systems &amp; Production Delivery
 
 
 
 <ul>
 <li>
 Build production-grade real-time matching systems using Python, Spark, and Trino.
 </li>
 <li>
 Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
 </li>
 <li>
 Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
 </li>
 <li>
 Lead performance monitoring, diagnostics, and system optimization.
 
 
 </li>
 </ul>
 
 4. Experimentation &amp; Impact Measurement
 
 
 
 <ul>
 <li>
 Define evaluation metrics aligned with marketplace and operational objectives.
 </li>
 <li>
 Design and run controlled experiments to quantify matching improvements.
 </li>
 <li>
 Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
 </li>
 <li>
 Ensure decisions translate into measurable improvements in efficiency and SLA performance.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 6&ndash;8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
 </li>
 <li>
 Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Optimization and assignment algorithms
 </li>
 <li>
 Graph modeling and min-cost flow problems
 </li>
 <li>
 Multi-objective optimization
 </li>
 <li>
 Dynamic and online decision systems
 </li>
 </ul>
 <li>
 Hands-on experience with OR-Tools or custom optimization solvers.
 </li>
 <li>
 Proficiency in Python, SQL, Spark, and distributed data systems.
 </li>
 <li>
 Experience building real-time or near-real-time decision systems.
 </li>
 <li>
 Strong understanding of experimentation and performance evaluation in marketplace systems.
 </li>
 <li>
 Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;ll provide you
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Staff Data Scientist I - Matching

Abbott

<div>Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
ABOUT ABBOTT DIAGNOSTICS:
The key to successful treatment and full recovery is often fast, accurate diagnosis. Abbott&rsquo;s life-changing tests and diagnostic tools provide insights that enable smarter, faster decisions and transform the way the world is managing health.
Our pioneering technology spans the world of healthcare operations &mdash; with medical diagnostic instruments, tests, automation, and informatics solutions for hospitals, reference labs, blood centers, emergency departments, physician offices, and clinics.
Our location in Lake Forest, IL currently has an opportunity for a Senior Scientist, Technical Support
WHAT YOU&rsquo;LL DO
<ul><li>Lead complex investigations, design changes, and on‑market product issue resolution to improve product availability.</li><li>
Partner with cross‑functional teams to assess impact and deliver effective technical solutions.</li><li>
Apply strong product, process, and operational knowledge using sound scientific and data‑driven methods.</li><li>
Ensure adherence to Quality and Safety standards in all activities.</li><li>
Plan and execute projects efficiently while documenting work to established procedures.</li><li>
Anticipate and resolve customer issues through a deep understanding of product performance and clinical utility.</li><li>
Communicate effectively across teams, mentoring others and aligning work to business priorities.</li></ul>
EDUCATION AND EXPERIENCE YOU&rsquo;LL BRING
Required
<ul><li>Bachelor's degree required in a scientific/technical discipline.</li><li>
6 years of experience in a related scientific/technical field.</li><li>
Advanced degree(s) may offset required years of experience.</li></ul>
Experience You&rsquo;ll Bring<ul><li>
Strong data analysis and systems experience</li><li>
Project team experience, including leading or supporting complex initiatives</li><li>
Knowledge of change control, investigations, and/or lab processes</li><li>
Proven technical problem‑solving and root‑cause analysis skills</li><li>
Experience mentoring others and collaborating cross‑functionally</li><li>
Familiarity with statistical, project management, and Six Sigma tools</li><li>
Exposure to diagnostics, immunoassay technologies, and/or operations (manufacturing or quality)</li><li>
Customer‑facing experience resolving technical issues</li></ul>
WHAT WE OFFER
At Abbott, you can have a good job that can grow into a great career. We offer:<ul><li>
Training and career development, with onboarding programs for new employees and tuition assistance</li><li>
Financial security through competitive compensation, incentives and retirement plans</li><li>
Health care and well-being programs including medical, dental, vision, wellness and occupational health programs</li><li>
Paid time off</li><li>
401(k) retirement savings with a generous company match</li><li>
The stability of a company with a record of strong financial performance and history of being actively involved in local communities</li></ul>
Learn more about our benefits that add real value to your life to help you live fully: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal. 
The base pay for this position is $78,000.00 &ndash; $156,000.00. In specific locations, the pay range may vary from the range posted.</div>

Senior Scientist Operations

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are You Ready to Redefine How the World Receives Its Packages? 
 
What if your algorithms defined the most efficient path for millions of deliveries &mdash; every single day? At Amazon, we're building the science that makes that possible, and we're looking for exceptional scientists to help lead the way. 
 
The Last Mile Routing &amp; Planning organization develops the software, algorithms, and tools that power the &quot;magic&quot; of home delivery. Our planning and routing intelligence systems drive billions of daily decisions &mdash; enabling safe, efficient, and frustration-free routes for drivers across the globe. 
 
What You'll Do 
 
In this role, you'll sit at the intersection of state-of-the-art research and real-world impact. You will: 
<ul><li>Design and build algorithms that solve large-scale, complex logistics problems</li><li>Synthesize data from diverse sources to identify high-value business opportunities</li><li>Provide research direction and data-driven insights to guide strategic decisions</li><li>Translate complex technical approaches into clear communication for scientists, engineers, and business stakeholders</li><li>Partner closely with scientists and engineers in a collaborative, high-impact environment</li></ul> 
What You'll Work On 
 
We have an exciting and growing portfolio of research areas, including: 
<ul><li>Routing for same-day and grocery deliveries</li><li>Planning for electric and autonomous vehicles</li><li>District-level and stop-level planning</li><li>Forecasting solutions for diverse delivery programs</li></ul> 
All of this is powered by the latest methods in Operations Research (OR), Machine Learning (ML), and Generative AI &mdash; at a truly global scale. Successful candidates will lead one or more of these problem spaces. 
 
What We're Looking For 
 
<ul><li>Deep expertise in Operations Research and/or Machine Learning methods</li><li>Proven experience applying these methods to large-scale, real-world business problems</li><li>Ability to translate models into production-ready code in Python or Java</li><li>Strong communication skills &mdash; you can explain complex technical concepts to diverse audiences</li><li>A bias for action and an iterative mindset when tackling ambitious research challenges</li></ul> 
Why Amazon 
 
We're passionate about your growth. Whether you want to explore emerging technologies, take on broader scope, or accelerate your career trajectory, we'll invest in helping you get there. Our business is scaling fast &mdash; and so are the opportunities for the people who build it. 
 
If you're driven by the challenge of optimizing one of the world's most complex logistics systems and excited to see your work impact millions of customers daily, we'd love to hear from you. 
 
Key job responsibilities 
<ul><li>Invent and design novel solutions for scientifically complex problem areas, and identify opportunities for invention within existing and new business initiatives</li><li>Deliver large-scale, high-impact solutions to complex problems in support of medium-to-large business goals</li><li>Shape the design of scientifically complex software systems, personally contributing significant portions of the critical scientific novelty</li><li>Apply mathematical optimization, machine learning, and Generative AI techniques to develop solution methodologies for in-house decision support tools and software</li><li>Research, prototype, simulate, and experiment with models &mdash; and actively participate in their production-level deployment in Python or Java</li><li>Engage with the broader scientific community by publishing research articles and participating in leading research conferences</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of programming in Java, C++, Python or related language experience</li><li>PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience building machine learning models or developing algorithms for business application</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>3+ years of solving business problems through machine learning, data mining and statistical algorithms experience</li><li>3+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually 
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Last Mile Science

Patricio Enterprises

<div>LOCATION: Pentagon

STATUS: Open/Actively Interviewing

TRAVEL: Up to 10%

CLEARANCE: TS/SCI

BENEFITS: 401K, Life/Health/ Dental/Disability Insurance, Flexible Paid Leave, and Tuition Reimbursement 

DESCRIPTION:
This position supports the JRO-CBRND of the J8 CJCS in development of military advice through the assessment of capability gaps, needs validation, and integration of joint capability to prevent use or prevail in a CBRN environment. Specifically, the position is designed to perform a broad range of operations research analysis for unique data problems requiring creativity, innovative use of techniques, advanced approaches, and/or new technologies. 


Primary duties will include (but not limited to):
<ul>
<li>Performs a broad range of operations research analysis for unique data problems requiring creativity, innovative use of techniques, advanced approaches, and/or new technologies.</li>
<li>Establishes assumptions, measures effectiveness of approaches, and evaluates available alternatives.</li>
<li>Utilizes scientific inquiry in the independent development of mathematical models and computer programs to evaluate and predict the ability to support assigned data projects, studies, or problems.</li>
<li>Evaluates impacts of new technologies on current systems and policies and provides conclusions and recommendations that have a major impact on decisions regarding requirements definition, planning and acquisition of major upgrades, and new system capabilities.</li>
</ul>
KNOWLEDGE AND SKILLS:
<ul>
<li>Knowledge of CBRN Defense and CWMD plans, policies, doctrine, capabilities, organizations, and general efforts within DoD.</li>
<li>Knowledge of Joint Strategic Planning System (JSPS) and Joint Staff Task Management Tool (TMT).</li>
<li>Provide expert judgments concerning the validity of assumptions made and the criteria to evaluate alternatives.</li>
<li>Develop mathematical, statistical, and other automated system models for identification, collection, storage, and analysis of data used to support assigned projects and studies.</li>
<li>Provide analysis reports using statistics, graphs, images, and lists that communicate results to senior leadership.</li></ul> 
EDUCATION / EXPERIENCE:
<ul>
<li>A bachelor's degree or master's Degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics; AND,</li>
<li>Guiding and overseeing the use of advanced analytical, mathematical, or statistical theories, principles, concepts, methods, and techniques to generate information, recognize patterns, and predict outcomes and their respective probabilities.</li>
<li>5-10 years of relevant technical area experience.</li>
<li>A minimum of three (3) years&rsquo; experience on the Joint Staff, OSD, COCOM or Service staff desired.</li></ul> 


EOE. Protected Veterans/Individuals with Disabilities. 
Patricio Enterprises Inc. is an equal opportunity employer. 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.</div>

Operations Research Analyst (8643)

The One 23 Group

<div>Description:

At The One 23 Group, our mission is to set the benchmark for excellence in government services. We empower our clients in the Department of War, Intelligence Community, and Federal Civilian sectors to excel with our advanced capabilities. Our dedication lies in fostering a people-first culture, underpinned by steadfast ethical principles. Embracing innovative technologies and process improvements, we are steadfast in our journey toward a future that is both bright and transformative.
Our expertise spans Enterprise IT, Mission IT and Cyber. With our global footprint, we place a strong emphasis on nurturing our people and culture, which forms the core of our successful strategies in leadership and financial management. We pride ourselves on our extensive experience and effective approach, ensuring that we lead with both innovation and integrity.
Requirements:

Position:
We are seeking a highly motivated and analytically driven Operations Research Analyst to join our team in support of our Department of Homeland Security (DHS) customer.
This role focuses on applying data analytics, statistical methods, and modeling techniques to support the development and application of simulation models representing real-world operations at U.S. Ports of Entry (POEs). The successful candidate will work with operational data to develop baseline models, conduct scenario analysis, and provide decision support to government stakeholders.
Key Responsibilities:<ul><li>Analyze operational datasets to understand system behavior, including arrival patterns, processing times, and throughput</li><li>Develop analytical inputs and assumptions to support simulation models</li><li>Support the development and application of discrete event simulation models</li><li>Conduct scenario analysis to evaluate impacts of changes in staffing, infrastructure, or processes</li><li>Validate model outputs against real-world data and refine assumptions as needed</li><li>Translate operational processes into structured analytical frameworks</li><li>Communicate findings and recommendations to technical and non-technical stakeholders</li><li>Support development of synthetic environments through integration of data, models, and visualization tools</li></ul>
***This is a hybrid position. Two (2) to three (3) days in the Herndon office and may be asked to go into the Ronald Reagan Building in Washington, DC one (1) to two (2) times per quarter.
Essential Skills &amp; Qualifications<ul><li>Proficiency in Python, R, or similar analytical programming languages</li><li>Strong foundation in statistics, data analysis, and quantitative problem solving</li><li>Experience working with structured datasets using tools such as Excel, SQL, or similar platforms</li><li>Experience working with time-based or event-based datasets</li><li>Experience or familiarity with simulation modeling (discrete event, Monte Carlo, or agent-based)</li><li>Exposure to operations research techniques (e.g., queueing theory, system modeling, optimization)</li><li>Experience analyzing transportation, logistics, or service systems</li><li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li><li>Experience supporting federal clients or working in DHS environments</li><li>Ability to communicate technical concepts clearly to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>Active DHS Public Trust BI or higher-level clearance within DHS.</li></ul>
Requirements<ul><li>Bachelor&rsquo;s degree in Operations Research, Industrial Engineering, Data Science, Mathematics, Engineering, or a related quantitative field</li><li>3&ndash;5 years of relevant experience in data analytics, operations research, modeling, or a related discipline</li><li>U.S. citizenship is required</li></ul>
Travel within the United States is required. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. No H1B Visas sponsorship.</div>

Operations Research Analyst

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