scientist/engineer

BB&E

<div><p><b>Environmental Engineer/Scientist/Geologist</b></p><p>
BB&amp;E is an employee-owned, full service civil and environmental engineering and consulting firm, headquartered in Northville, Michigan, which services both the Federal and Industrial sectors throughout the United States. BB&amp;E team members provide Environmental Consulting, Facilities Engineering and Program/Project Management Services to Federal and private sectors.
</p>Position Summary<p>
BB&amp;E is seeking a dynamic and detail-oriented <b>Environmental Scientist/Engineer </b>to support AFCEC/CZP onsite at Lackland AFB, TX</p>
Job Duties &amp; Responsibilities<ul><li>
Provide scientific or technical guidance, support, and coordinate to governmental agencies and environmental programs.
</li><li>Review and implement environmental technical standards, guidelines, policies, and formal regulations that meet all appropriate requirements.
</li><li>Review applicability of federal and state regulations including but not limited to Clean Air Act (CAA), Clean Water Act (CWA), Safe Drinking Water Act (SDWA), Endangered Species Act (ESA), National Environmental policy Act (NEPA) related to Air Force operations at installations nationwide.</li><li>
Work closely with installation Regional Environmental Coordinators (RECs)/Regulatory Media Experts (RMEs) to support AFCEC missions.</li><li>
Collect, synthesize, analyze, manage, and report environmental data and/or environmental regulatory activities.
</li><li>Prepare high-quality deliverables used for tracking and managing data.</li><li>
Evaluate and interpret data from multiple sources.</li>
Provide meeting support<br>
<li>
</li></ul><br>
<br>
<b>Requirements</b><br>
<br>
Key Qualifications<ul><li><b>
U.S. Citizenship </b>and theability to obtain/maintain a NACI/CAC is<b> required</b></li><li><b>
Knowledge</b></li></ul><ul><li>
o Experience with State Legislatures and how to search in StateScape or another legislative program is required</li><li>
o Must have knowledge of prioritizing impacts in legislation for DoD Missions.</li><li>
o Must have knowledge of how legislation and regulations could impact the DoD</li><li><b>
Strong Communication Skills:</b> Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to diverse audiences</li><li><b>
Software: </b>Proficiency using MS Office including Excel, Word, and PowerPoint and portable document format (PDF)</li><li><b>
Self-Starter and Team Player:</b> Highly motivated, with the ability to perform at a high level of quality with minimal supervision; ability to work independently and as part of a diverse team of individuals to meet the needs of our clients
 </li></ul>Experience &amp; Education<ul><li><b>
Experience:</b> Three (3) to ten (10) years of experience with a bachelor&rsquo;s degree in engineering, Natural or Environmental Science, Physical Science, or Toxicology from an accredited university and have at least three (3) years of experience performing engineering and/or environmental duties related to Military Missions and Operation</li><li><b>
Education:</b> A minimum of a bachelor&rsquo;s degree in chemistry or environmental chemistry from an ABET (Accreditation Board for Engineering and Technology) accredited college or university is required</li></ul>
Physical Requirements<ul><li>
Ability to stand/walk/climb/kneel/crouch and remain in a stationary position/sit at least 60% of the time</li><li>
Ability to operate office equipment, including computer, copy machine, phone, etc.</li><li>
Ability to use hands to finger, handle or feel objects or controls; reach with hands and arms</li><li>
Capable of lifting over 25 lbs.</li><li>
Ability to see details of objects that are less than a few feet away</li><li>
Ability to understand the speech of another person, speak clearly so listeners can understand, and talk or hear both in person and by telephone</li></ul><br>
<b>
Benefits</b><p><b><br>
Compensation, Benefits &amp; Perks</b></p><ul><li>
Participation in the Employee Stock Ownership Plan &ndash; BB&amp;E is 100% employee-owned!</li><li>
Discretionary bonus</li><li><ul><li>Medical, Dental, and Vision Insurance with health care concierge</li><li>Employer provided Short-Term &amp; Long-Term disability</li><li>Employer-provided Life insurance</li><li>Employee options for supplemental life, supplemental accident, critical illness, hospital indemnity, and Identity theft protection benefits</li><li>Generous PTO plus 11 paid holidays</li></ul></li><li>
Traditional &amp; Roth 401(k) options with fully vested employer match</li><li>
Tuition reimbursement &amp; professional development</li><li>
Employee referral program</li><li>
Employee discounts</li><li>
Employee Assistance Program (EAP)</li><li>
Pet insurance discount</li><li><ul><li>Applies only to full-time employees</li></ul></li><li><i>BB&amp;E is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.</i></li></ul></div>

Environmental Scientist/Engineer

Infotron

<div><div><div><b>Benefits:</b></div>
<ul><li>No additional benefits</li>
</ul></div><div><div><b>About the Role</b></div>
<div>Imagine writing code that doesn&rsquo;t just work&mdash;it makes a global impact. We're looking for a <b>Data Scientist / Developer</b> whose work will directly contribute to health, sustainability, and wellness innovations. From building robust data pipelines to developing intelligent systems, your contributions will enable personalized health solutions, clean water technologies, and sustainable agriculture practices.</div>
<div>This role goes beyond technical execution&mdash;you'll build tools and insights that influence millions and leave a lasting mark on public health and environmental well-being.</div>
<div>If you&rsquo;re looking for meaningful work that bridges advanced data science with real-world impact, we want to hear from you.<br>
</div>
<div><b>Role Overview</b></div>
<ul><li><b>Mission:</b> Turn complex data into actionable insights and products that support global wellness and sustainability.</li></ul>
<div><b>Key Responsibilities</b></div>
<ul><li>Design and maintain real-time data pipelines across health, product, and commerce domains.</li>
<li>Develop knowledge graphs integrating biological, demographic, and behavioral data.</li>
<li>Leverage Bayesian models, causal inference, and predictive techniques to drive insights.</li>
<li>Translate research into scalable APIs, dashboards, and services.</li>
<li>Collaborate across multidisciplinary teams to advance projects in health tech, agriculture, and packaging.</li>
<li>Optimize supply chain and agricultural data for sustainability impact.</li>
<li>Automate research workflows and contribute to publishable data science output.</li>
</ul> <div><b>Must-Have Qualifications</b>
</div><ul><li>Proven experience delivering large-scale ML or data systems end-to-end.</li>
<li>Proficiency in Python, SQL, PyTorch/TensorFlow, stream processing, orchestration tools, and graph databases.</li>
<li>Deep understanding of Bayesian statistics, causal modeling, and probabilistic programming.</li>
<li>Strong engineering practices: version control, testing, CI/CD, etc.</li>
<li>Excellent communication and ability to simplify complex concepts for stakeholders.</li>
</ul> <div><b>Preferred Qualifications</b>
</div><ul><li>Familiarity with health, biomedical, or consumer data.</li>
<li>Experience in Graph ML, contextual bandits, or RL-based personalization.</li>
<li>Exposure to mobile analytics or App Store/Play Store optimization.</li>
<li>Background in hardware, IoT, or field deployments.</li>
<li>Skills in literature mining, marketing science, or uplift modeling.</li>
</ul> <div><b>What You&rsquo;ll Gain</b>
</div><ul><li><b>Purpose-Driven Work:</b> Contribute to health, environmental, and wellness initiatives with real-world impact.</li>
<li><b>Cutting-Edge Environment:</b> Work at the intersection of AI, health science, and product development.</li>
<li><b>End-to-End Ownership:</b> Influence the entire product lifecycle&mdash;from research to deployment.</li>
<li><b>Global Reach:</b> Collaborate with teams across India, the U.S., and international programs serving millions.</li></ul><br>
<div>
</div></div><p>This is a remote position.</p></div>

Data Scientist / ML Engineer

All Points Logistics

<div><div><p><b>Data Engineer
 </b></p><div></div><div><div>Huntsville , Alabama
</div><p>Direct Hire
</p><p>Apr 9, 2026
</p></div></div><div><b><i>*US CITIZENSHIP REQUIRED*</i></b><br>
<b><i>*ACTIVE DoD SECRET CLEARANCE REQUIRED*</i></b><br>
<b><i>*THIS IS A SIX MONTH POSITION WITH POTENTIAL TO EXTEND*</i></b><br>
<br>
<b>DESCRIPTION OF POSITION/DUTIES:</b><br>
<br>
All Points is seeking a <b>Data Scientist / Data Engineer &ndash; Supply Chain Analytics</b> to support the <b>Army Materiel Command</b> at <b>Redstone Arsenal in Huntsville, AL</b>. This is a <b>six</b><br>
<b>month, full time position with potential to extend</b> and requires <b>100% on site support</b>. There is no remote work option. <b><i>THIS IS A SIX MONTH POSITION WITH POTENTIAL TO EXTEND.</i></b><br>
<br>
The selected candidate will support <b>Army Supply Chain Command Orchestration and Monitoring operations</b> as a hybrid data scientist and data engineer. This role operates at the intersection of <b>data engineering and applied machine learning</b>, owning both the <b>data pipelines</b> that move supply chain data and the <b>models and analytics</b> that extract operational insight.<br>
Working under the technical direction of a Senior AI Solutions Engineer, the candidate will build, optimize, and maintain production grade analytics that enable <b>supply chain mapping, disruption detection, and risk visibility</b> across priority weapons systems and materiel programs. This is a <b>mission driven, production cadence role</b>, not a research only position.<br>
<br>
<b><i>Duties may include but are not limited to:</i></b>
<ul><li>Build and maintain supply chain mapping constructs that trace multi-tier supplier relationships, component dependencies, foreign ownership indicators, and program linkages</li>
<li>Design, optimize, and maintain data pipelines ingesting supply chain data from government and commercial sources into Snowflake and downstream analytics environments</li>
<li>Develop and enhance disruption alerting models to detect supply chain stress signals, including single-source dependencies, supplier financial distress, geopolitical exposure, and lead-time anomalies</li>
<li>Apply machine learning and AI techniques to supply chain datasets, including entity resolution, anomaly detection, risk scoring, and predictive modeling</li>
<li>Write, optimize, and maintain complex SQL queries and Python-based transformation logic against Snowflake data warehouses</li>
<li>Produce analytic outputs that support Red Team vulnerability assessments, Blue Team mitigation planning, and executive decision-support dashboards</li>
<li>Participate in data quality validation, confidence scoring, and model monitoring workflows</li>
<li>Maintain pipeline documentation, data dictionaries, model artifacts, and data provenance per program governance standards</li>
<li>Support government-directed onboarding of new data sources, including schema mapping and integration into existing pipelines</li>
</ul><b>EDUCATION:
</b><ul><li>Bachelor&rsquo;s degree from an accredited college in a related discipline</li>
</ul><b>YEARS OF EXPERIENCE:
</b><ul><li>Eight (8) to ten (10) years of relevant experience preferred<br>
Minimum of four (4) years of combined data science and data engineering experience required</li>
</ul><b>SKILLS/CERTIFICATIONS:</b>
<ul><li>Demonstrated supply chain domain knowledge, including supplier networks, procurement data, logistics, or defense materiel programs</li>
<li>Proficiency in Python for data engineering, analytics, and machine learning workflows</li>
<li>Strong SQL skills, including complex queries, window functions, and performance optimization</li>
<li>Hands-on Snowflake experience in a production analytics environment</li>
<li>Experience building and maintaining ETL/ELT pipelines using orchestration frameworks (Airflow, dbt, Spark, or equivalent)</li>
<li>Experience applying ML or AI techniques to real-world structured datasets in production or near-production environments</li>
<li>Strong documentation practices supporting data lineage, auditability, and governance</li>
<li>Experience with defense supply chain datasets (CAGE codes, NSNs, DLA/GIDEP) preferred</li>
<li>Experience with entity resolution, graph-based supply chain mapping, or network analysis preferred</li>
<li>Familiarity with AWS or other cloud data platforms in GovCloud or regulated environments preferred</li>
<li>Familiarity with CUI handling and NIST 800-171 data governance requirements preferred</li>
</ul><b>SECURITY CLEARANCE:
</b><ul><li>US Citizenship required</li>
<li><b>Active DoD Secret security clearance required</b></li>
</ul>Positions with All Points are Full-Time, Direct, and include a comprehensive benefits package. For more information, please visit our Career Portal:<br>
<b>https://www.allpointsllc.com/careers/</b><br>
<br>
<b>ALL POINTS IS AN EQUAL OPPORTUNITY EMPLOYER</b></div></div>

2033 Cleared Data Scientist/Data Engineer – Supply Chain Analytics (Secret Clearance Required)

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
  </li>
  <li>
   Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
  </li>
  <li>
   Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
  </li>
  <li>
   Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
  </li>
  <li>
   Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
  </li>
  <li>
   Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
  </li>
  <li>
   Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  </li>
  <li>
   Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  </li>
  <li>
   Strong knowledge of machine learning frameworks and libraries.
  </li>
  <li>
   Expertise in data preprocessing, feature engineering, and model selection.
  </li>
  <li>
   Familiarity with large language models and AI agent design.
  </li>
  <li>
   Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  </li>
  <li>
   Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience with vectorized databases and unstructured search engines is a plus.
  </li>
  <li>
   A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
  </li>
  <li>
   Publications or contributions to open-source projects are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

Mammoet

<div>
 <strong>
  Summary Of The Role
  <br/>
  <br/>
 </strong>
 <strong>
  National Talent Opportunity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Engineer for Industry Leader in Heavy lifting &amp; Transportation
  </li>
  <li>
   Working at Dubai, UAE
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Are you a Engineer in Mechanical or Civil disciplines?
  <br/>
  <br/>
 </strong>
 Mammoet Dubai is excited to invite aspiring engineers to embark on a thrilling journey in the world of heavy lifting and transportation. As an industry leader, we take pride in our commitment to engineering excellence and innovation. With our engineering department in Dubai expanding, we&rsquo;re looking for talented engineers to join our dynamic team.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 We're on the lookout for enthusiastic engineers specializing in Mechanical or Civil or related engineering discipline to join our dynamic team at Mammoet. If you're passionate about engineering and want to be a part of groundbreaking projects, Mammoet is the place for you.
 <br/>
 <br/>
 As part of our team, you will have the opportunity to:
 <br/>
 <br/>
 <ul>
  <li>
   Develop expertise in providing best-in-class engineering solutions for heavy lifting and transportation projects.
  </li>
  <li>
   Engage in both conventional methodologies and the development of innovative approaches.
  </li>
  <li>
   Learn, prepare, and select both existing and updated engineering statements and methodologies.
  </li>
  <li>
   Gain experience in developing drawings, calculations, visualizations, manuals and risk assessments.
  </li>
  <li>
   Ensuring efficient execution that delivers the right results for the customer
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <strong>
  WHAT YOU&rsquo;LL NEED
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A bachelor&rsquo;s degree in Mechanical Engineering, Civil Engineering, or a closely related field.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   English, fluent proficiency verbal and written
  </li>
  <li>
   Demonstrated ability to quickly grasp new concepts, technologies, and methodologies.
  </li>
  <li>
   Ability to remain resilient and effective amidst changing priorities, ensuring a seamless workflow.
  </li>
  <li>
   Exceptional ability to build and maintain positive relationships with team members, stakeholders, and external partners.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Whether you are just starting your career or have some professional experience, you are welcome to apply.
  </li>
  <li>
   Professional level experience in engineering operation practices and systems, HLT equipment, internal codes and standards
  </li>
  <li>
   Evidence of experience in a similar role, ideally in any/some of the following sectors: civil engineering, construction, renewables, oil and gas, offshore, ports and mining.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Get
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on world‑class projects: Be part of globally recognized, complex lifting and transport projects that push engineering boundaries.
  </li>
  <li>
   Pioneering Innovation: At Mammoet, we push the boundaries of what's possible in heavy lifting and transportation. Our engineers lead the way in developing cutting-edge solutions for some of the most complex projects worldwide.
  </li>
  <li>
   Global Impact: Join a company with a global footprint. Your work at Mammoet reaches far beyond borders, contributing to projects that shape the world's infrastructure and development.
  </li>
  <li>
   Diverse Team, Inclusive Culture: We believe in the power of diversity and inclusion. Our team comprises individuals from various backgrounds, cultures, and expertise. We thrive on the unique perspectives and experiences each team member brings to the table.
  </li>
  <li>
   Career Growth: Mammoet isn't just a place to work; it's a place to grow. We foster an environment that encourages continuous learning, skill development, and career advancement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WANT TO KNOW MORE?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take a look at mammoet.com
  </li>
  <li>
   Connect on Linkedin - www.linkedin.com/in/manish-kumar2
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 #mammoetcareers
 <br/>
 <br/>
 #Engineeringjobs
 <br/>
 <br/>
 #madeformammoet
</div>


Engineer

Transwestern

<div><p>Four dynamic, integrated companies make up the Transwestern enterprise, giving us the perspective to think broadly, deeply and creatively about commercial real estate. Clients and investors rely on us for expertise that spans institutional and opportunistic investment, development, hospitality, and brokerage and asset services. Our award-winning, collaborative culture empowers team members with resources and independence to work across boundaries in pursuit of innovative solutions, reinforcing a reputation for service excellence that translates to measurable results. Through offices nationwide and alliance partners around the globe, we positively impact the built environment and our communities while fostering a work climate that champions career vitality for all. Learn more at transwestern.com and @Transwestern.</p><p></p><p>
Part of the Transwestern companies, Transwestern Real Estate Services (TRS) strives to add value for investors, owners, and occupiers across all commercial property types. Fueled by a holistic perspective of the real estate life cycle, agility and creativity are hallmarks of our approach, while vast national resources and sound market intelligence underpin customized recommendations and property solutions.
</p><p></p><p>Transwestern is built on a common purpose - <i>Empowering Good People to do Extraordinary Things Together</i>. We are committed to the hiring of smart, passionate, hard-working people who understand the benefits of both collaboration and independence.</p><p></p><p><b>
POSITION SUMMARY:</b></p><p></p><p>
The Building Engineer is responsible for completing work orders, grounds maintenance, painting, caulking, HVAC, plumbing, drywall, electrical and completing maintenance on buildings as needed. The Building Engineer will perform general preventive maintenance and corrective repair of buildings, industrial systems, equipment and grounds. The Building Engineer will also monitor the building operations and performance.</p><p></p><p><b>
ESSENTIAL JOB FUNCTIONS:</b></p><ul><li><p>
Perform preventive maintenance and corrective repair of buildings, industrial systems, equipment, and grounds.
</p></li><li><p>Inspect building systems including fire alarms, HVAC, and plumbing to ensure operation of equipment is within design capabilities and achieves environmental conditions prescribed by client.</p></li><li><p>
Perform assigned repairs, emergency, and preventive maintenance.
</p></li><li><p>Complete maintenance and repair records as required.</p></li><li><p>
Take the lead to troubleshoot and repair of buildings and installed systems to include, but not limited to: plumbing systems, kitchen equipment, roofs, drains, and HVAC.</p></li><li><p>
May be required to direct mechanics, technicians, and outside contractors on assigned projects.</p></li><li><p>
Respond quickly to emergency situations, summoning additional assistance as needed.</p></li><li><p>
Maintain an energy management program to ensure measures are taken to operate all systems in the most efficient manner to keep operating costs at a minimum.</p></li><li><p>
Maintain the building lighting system, including element and ballast repairs or replacements.</p></li><li><p>
Perform other duties as assigned.</p></li></ul><p><br>
</p><p><b>POSITION REQUIREMENTS:</b></p><ul><li><p>
High school diploma or general education degree (GED) and a minimum of two years of related experience and/or trade school training or equivalent combination of education and experience.</p></li><li><p>
A minimum of 3 years building maintenance experience.</p></li><li><p>
Thorough knowledge in all building systems operations, maintenance and repair.</p></li><li><p>
Appropriate license/permit for trade as may be required, i.e. Journeyman or Master Electrician License or City Licenses, such as Refrigeration Certificate of Fitness, High Pressure Boiler License, High Pressure Steam Operator, etc.)
</p></li><li><p>Knowledgeable in energy management systems, techniques, and operations.</p></li><li><p>
Basic skills with Microsoft Office Outlook, Word, and Excel.</p></li><li><p>
Must have a thorough understanding of HVAC, electrical and building automation systems.</p></li><li><p>
Ability to understand and give general instructions in standard situations.
</p></li><li><p>Operate and use necessary manual and power-driven tools.</p></li><li><p>
Strong organizational and analytical skills.</p></li><li><p>
Strong customer service orientation.</p></li><li><p>
May require shift work, overtime and/or on call duties.</p></li><li><p>
Stooping, standing, climbing and frequent lifting of a minimum of 50 lbs. of equipment (pump, tools, ladders) and ability to safely install rigging/lifting device.</p></li><li><p>
May be required to work extended periods of time without relief when responding to priority/emergency situations (including overtime type assignments).</p></li><li><p>
Climb ladders and stairs.</p></li></ul><p><br>
</p><p><b>WORK SHIFT:</b></p>
First Shift (United States of America)<p><br>
</p><p><b>LOCATION:</b></p>
Chesapeake, VA<p></p><p>
This is a <b>dynamic, on-site role</b> that places you at the heart of the action. As a result, an essential function of this position is working on-site. Remote or hybrid options are not available. Being on property allows you to build strong relationships with clients and tenants, respond in real time, and make a visible impact every day.</p><p></p><p><b>
ABOUT US</b></p><p>
Transwestern&rsquo;s Guiding Principles are woven into the fabric of our firm and underscore the value of each individual team member. We embrace inclusion &ndash; not only as the right thing to do, but as a reflection of who we are. It is our responsibility and heartfelt desire to create an environment that elevates the human spirit and brings out the best in everyone.</p><p></p><p>
Different backgrounds, life experiences and cultures shape our individual perspectives and ultimately generate the best results for our clients. Strategic human capital planning combined with development initiatives foster a work environment that celebrates uniqueness and champions the achievements attained through collaboration.</p><p></p><p>
Please note that all candidates selected for an offer of employment are subject to pre-employment background checks, which may include but are not limited to, based on the role for which they have been selected: criminal history, education verification, social media review, motor vehicle records, credit history, and professional license verification. In addition, your employment with Transwestern is subject to successfully passing a drug screen check <i>prior </i>to your starting with the Company along with satisfactory references.</p><p></p><p><b><i>
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have your story. We want to hear it. We encourage you to apply today so that you may become a part of the Transwestern story.</i></b></p></div><p></p>

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>United States</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p>
Requires a Master's Degree in Data Scientist and 1 year of experience. Experience as a Software Engineer is acceptable, or any suitable combination of education, training or experience thereof.<br>
</p></div></div></div></div></div><div><div><div><div><p>Skills Required</p><div>
:</div></div><div><p>
Cloud &amp; Big Data, AI, ML</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p>
Position is for a Data Scientist (internal title: Research Scientist) responsible for designing, building, and implementing enterprise-level data warehouses and data lakes for corporate clients. Duties include, but are not limited to: Build and maintain data warehouses, data lakes, and modern analytics platforms to support high-volume data processing and reporting; data science techniques, including predictive modeling, clustering, and regression, to extract insights and support informed decision-making; Leverage advanced AI/ML approaches including deep learning, NLP, unsupervised learning, and reinforcement learning to improve forecasting accuracy, automate processes, and generate business insights; Lead the design and development of scalable data pipelines and ETL workflows, ensuring data is accurate, accessible, and ready for analytics; Engage with clients to understand business challenges and translate them into practical, data-driven solutions; Implement generative AI and Retrieval-Augmented Generation (RAG) systems to enhance analytics applications and automate knowledge retrieval; Collaborate with business analysts, architects, and data scientists to deliver integrated solutions combining traditional data engineering with advanced AI capabilities; Ensure data quality, governance, and compliance by implementing validation frameworks and monitoring systems for large-scale data operations; Migrate legacy systems and mainframe workflows to scalable cloud or hybrid platforms to improve performance and support modernization initiatives; Develop interactive dashboards and reporting solutions to provide visibility into KPIs, operational metrics, and analytical outputs; Integrate big data processing frameworks to manage high-volume structured and unstructured datasets and improve analytical efficiency; Conduct performance optimization for data pipelines, ML workloads, and cloud systems to reduce latency and improve scalability; Implement CI/CD workflows for data engineering and machine learning components to ensure consistent deployment and version control; Document system architectures, data workflows, and AI model behavior to support knowledge transfer and regulatory compliance; and stay current with emerging technologies, including Agentic AI, cloud-native services, and next-generation ML frameworks, and evaluate their applicability to enterprise use cases.</p><br>
<p><br>
Jobsite: Position allows for hybrid employment (three days on-site and two days remote), but must be willing to travel to various unanticipated jobsites within the U.S. Frequency of travel is unanticipated.</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
Up to 1 year</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13743</p></div></div></div></div></div></div></div></div></div><p></p>

Data Scientist

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