mathematician

Peraton

<div><div><h5 class="jobSectionHeader"><b>About Peraton</b></h5>
<p>Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p>
</div><div><h5 class="jobSectionHeader"><b>About The Role</b></h5>
<div><p>The <b>Statistician/Mathematician</b><b> </b>specializes in collecting, analyzing, and interpreting data to solve and predict/ mitigate complex intelligence problems by applying statistical methods to provide insights that inform decision making. Responsibilities are, but are not limited to:</p><br>
<p></p><ul><li>Develop and apply mathematical theories and statistical methods to solve intelligence problems.</li>
</ul><ul><li>Collect, organize, interpret and summarize data to inform decision making to solve a broad range of problems.</li>
</ul><ul><li>Develop mathematical or statistical models of phenomena for analysis or computational simulation.</li>
</ul><ul><li>Design complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data.</li>
</ul><ul><li>Plan and perform data collection for projects, determining types/sizes of sample groups and parameters.</li>
</ul><ul><li>Prepares data for processing by organizing information and checking for inaccuracies.</li>
</ul><ul><li>Process large amounts of data for statistical modeling and graphic analysis/ metrics.</li>
</ul><ul><li>Develop software or work with developers to automate the collecting and processing of data.</li>
</ul><ul><li>Produce the results of analyses in graphs, charts, tables, and metrics.</li>
</ul><ul><li>Prepare products to describe and document findings and activities; provide briefings to decision makers.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Qualifications</b></h5>
<div><p><b>Required</b><b> Qualifications</b><b>:</b></p>
<ul><li>Bachelor&rsquo;s degree in a relevant field, such as Statistics/ Mathematics or Computer Science, with a minimum of 8 years of work experience.</li>
</ul><ul><li>Experienced in Statistics/ Mathematics application.</li>
</ul><ul><li>Analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.</li>
</ul><ul><li>Ability to work collaboratively with users and stakeholders.</li>
</ul><ul><li>Capacity to adapt to changing situations to prioritize tasks effectively.</li>
</ul><ul><li>Excellent communication, analytical, and problem-solving skills.</li><br>
</ul><p></p><p><b>Preferred Qualifications</b><b>:</b></p>
<ul><li>Master&rsquo;s degree in a relevant field, such as Statistics/ Mathematics or Computer Science.</li>
</ul><ul><li>Experienced in advanced analytics, machine learning, and data integration methodologies.</li>
</ul><ul><li>Experienced with intelligence databases, software, and analytical tools.</li>
</ul><ul><li>Experience working in the customer environment is preferred.</li><br>
</ul><p></p><p><b>S</b><b>ecurity</b><b> C</b><b>learance</b><b>:</b></p>
<p>This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.</p>
</div></div><div><h5 class="jobSectionHeader"><b>Details</b></h5>
<div><p><b>Target Salary Range:</b> $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.</p>
</div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.</p>
</div><div><p><b>Application Statements:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.</p>
</div><p><b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

Statistician/Mathematician

DataAnnotation

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 We are looking for an existing advanced mathematician to help train AI models.
 <br/>
 <br/>
 In this role, you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 <br/>
 <br/>
 <strong>
  Advantages Of Contracting With Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You'll be able to choose which projects you want to work on and when
  </li>
  <li>
   You work on your own schedule, on your own computer, from the comfort of your own home
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonus rates available on some projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
  </li>
  <li>
   A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
 <br/>
 <br/>
 #math
</div>


Mathematics - AI Trainer

Pinellas County Schools

<div>
 # of Jobs 1
 <br/>
 <br/>
 Hours per Day 7.5
 <br/>
 <br/>
 Work Hours 8:50am-4:20pm
 <br/>
 <br/>
 Temporary Position No
 <br/>
 <br/>
 Calendar Days 10-month (198 days)
 <br/>
 <br/>
 Salary
 <br/>
 <br/>
 For Salary Schedule, clickHERE. Please teachers' salary schedule
 <br/>
 <br/>
 Pay Grade -
 <br/>
 <br/>
 Pay Grade -
 <br/>
 <br/>
 Minimum Educational Requirements Bachelor's - Please see job description for specific requirements.
 <br/>
 <br/>
 Contract Type Full-Time
 <br/>
 <br/>
 Reports to SUPERVISOR
 <br/>
 <br/>
 Contact Person's Name Christina Malone
 <br/>
 <br/>
 Contact Person's Email malonech@pcsb.org
 <br/>
 <br/>
 <strong>
  Job Description.
  <br/>
  <br/>
 </strong>
 ClickHERE. View Attachment
</div>


Math

Bayer

<p></p><div><p><b>At Bayer we&rsquo;re visionaries, driven to solve the world&rsquo;s toughest challenges and striving for a world where 'Health for all Hunger for none&rsquo; is no longer a dream, but a real possibility. We&rsquo;re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining &lsquo;impossible&rsquo;. There are so many reasons to join us. If you&rsquo;re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there&rsquo;s only one choice.</b></p><br>
<p></p>
<p><b>
Sr. Machine Learning Researcher, Domain-Aware Modeling &amp; Scientific Machine Learning</b></p><p></p><div><br>
<div>
<p>We are seeking a Sr. Machine Learning Researcher with strong expertise in the mathematical foundations of machine learning and scientific computing to develop next-generation domain-aware models for agriculture. This role sits at the intersection of applied mathematics, domain-aware modeling, and deep learning, with the goal of building models that respect and encode the underlying structure of biological and environmental systems. You will design principled, interpretable, and generalizable AI architectures that integrate scientific knowledge from genetics to crop physiology to environmental dynamics- into data-driven frameworks. Your work will directly enable transformative applications in genomic selection and genome editing target identification, accelerating the development of improved crop varieties worldwide.</p></div><div><br>
<p>
</p></div><div><p><b>YOUR TASKS AND RESPONSIBILITIES</b></p>
</div>
<div><p>The primary responsibilities of this role are:</p>
</div>
<div><ul><li><p>Scientific ML Model Development: Design, build, and validate domain-aware machine learning models (e.g., biology-informed, and hybrid mechanistic-statistical architectures) that incorporate prior scientific knowledge into learning algorithms for agricultural and genomic applications.</p>
</li>
</ul></div><div><ul><li><p>Mathematical Framework Design: Develop novel architectures and loss functions that embed biological constraints, conservation laws, symmetry properties, or known functional relationships into neural network training, ensuring physically and biologically consistent predictions.</p>
</li>
</ul></div><div><ul><li><p>Genomic Selection &amp; Editing Enablement: Architect models that leverage high-dimensional genomic, phenomic, and environmental data to predict complex trait outcomes, identify causal genetic variants, and prioritize genome editing targets with quantified uncertainty.</p>
</li>
</ul></div><div><ul><li><p>Uncertainty Quantification: Implement rigorous uncertainty quantification frameworks (Bayesian deep learning, ensemble methods, probabilistic surrogate models) to provide decision-makers with calibrated confidence estimates on model predictions.</p>
</li>
</ul></div><div><ul><li><p>Interdisciplinary Collaboration: Partner with geneticists, plant biologists, agronomists, environmental scientists, and software engineers to translate domain expertise into model architecture decisions and validate model outputs against biological ground truth.</p>
</li>
</ul></div><div><ul><li><p>Scalable Deployment: Work with engineering and IT teams to transition research prototypes into production-grade models integrated within breeding and discovery pipelines, ensuring reproducibility, scalability, and maintainability.</p>
</li>
</ul></div><div><ul><li><p>Research Contribution: Contribute to publications in leading venues, participate in the internal scientific community, and stay at the frontier of scientific machine learning methodology.</p>
</li>
</ul></div><div><ul><li><p>Documentation &amp; Communication: Prepare comprehensive technical documentation, present findings to both technical and non-technical stakeholders, and build organizational trust in AI-driven decision-making.</p></li></ul><br>
</div>
<p></p><div><p><b>WHO YOU ARE</b></p>
</div>
<div><p>Bayer seeks an incumbent who possesses the following:</p></div><div><br>
<p>
</p></div><div><p>Required:</p>
</div>
<div><ul><li><p>PhD in one of the following or closely related fields:</p>
</li>
</ul></div></div><div><div><ul><li><div><ul><li><p>Machine Learning / Deep Learning</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Applied Mathematics</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Computational Science &amp; Engineering</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Physics</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Chemical, Mechanical, or Biomedical Engineering</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Computer Science (with scientific computing or numerical methods focus)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Statistics / Probabilistic Modeling</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Another related quantitative discipline with demonstrated depth in mathematical modeling</p>
</li>
</ul></div></li></ul></div><div><ul><li><p>Demonstrated research output (publications, thesis work, or applied projects) in scientific machine learning, numerical methods for differential equations, or data-driven modeling of physical/biological systems.</p>
</li>
</ul></div><div><ul><li><p>Proficiency in modern deep learning frameworks (PyTorch, JAX, or TensorFlow) and scientific computing libraries.</p>
</li>
</ul></div><div><ul><li><p>Experience formulating and solving problems involving high-dimensional, structured, or multi-modal data.</p>
</li>
</ul></div><div><ul><li><p>Strong communication skills and willingness to collaborate across disciplines.</p></li></ul><br>
</div>
<p></p><div><p>Preferred:</p>
</div>
<div><ul><li><p>5+ years post-PhD relevant experience</p>
</li>
</ul></div><div><ul><li><p>Demonstrated experience with one or more of the following domain-aware modeling paradigms:</p>
</li>
</ul></div><div><ul><li><div><ul><li><p>Physics-Informed Neural Networks (PINNs)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Biology-Informed Neural Networks (BINNs) / Visible Neural Networks (VNNs)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Neural Ordinary/Partial Differential Equations (Neural ODEs/PDEs)</p>
</li>
</ul></div></li></ul></div><div><ul><li><div><ul><li><p>Operator learning methods (e.g., DeepONet, Fourier Neural Operator)</p>
</li>
</ul></div></li></ul></div></div><div><div><ul><li><div><ul><li><p>Hybrid mechanistic&ndash;data-driven models</p>
</li>
</ul></div></li></ul></div><div><ul><li><p>Experience with Bayesian inference, Gaussian processes, hierarchical models, or probabilistic programming.</p>
</li>
</ul></div><div><ul><li><p>Familiarity with nonlinear dynamics, dynamical systems theory, or systems biology modeling.</p>
</li>
</ul></div><div><ul><li><p>Background in surrogate modeling, model reduction, or multi-fidelity methods.</p>
</li>
</ul></div><div><ul><li><p>Exposure to genomics data structures (e.g., variant matrices, linkage disequilibrium, population genetics) or quantitative genetics (e.g., genomic BLUP, marker-effect models) - not required, but valued.</p>
</li>
</ul></div><div><ul><li><p>Experience deploying ML models into production environments (MLOps, containerization, cloud-based HPC).</p>
</li>
</ul></div><div><ul><li><p>Experience collaborating in interdisciplinary research teams spanning experimental and computational scientists.</p>
</li>
</ul></div><div><ul><li><p>Familiarity with ensemble methods, gradient-boosted models, kernel methods, or classical statistical learning as complementary tools.</p></li></ul><br>
</div>
<p></p><div><p>Employees can expect to be paid a salary of approximately $120k-170k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant&rsquo;s location, market data/ranges, an applicant&rsquo;s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.</p></div><div><br>
<p>
</p></div><div><p>This posting will be available for application until at least 6/26/26.</p></div><br>
</div><div>
<div></div><div><br>
<div><div><b>YOUR APPLICATION</b></div><br>
<div></div>
</div><br>
<br>
</div></div><div></div><div><div><div><div><p>Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.<br>
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.<br>
<br>
Bayer is an Equal Opportunity Employer/Disabled/Veterans<br>
<br>
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.</p></div><br>
<div></div>
</div><br>
<div><div>Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.</div>
<div></div>
</div><br>
<br>
<div></div><div><div>Bayer is an E-Verify Employer.</div></div><br>
<div></div>
<div>
</div><br>
<br>
<br>
<div></div><div><div><b>Location:</b></div> <div>United States : Residence Based : Residence Based || United States : Missouri : Creve Coeur
</div></div><br>
<div></div><div><div><b>Division:</b></div> <div>Crop Science</div>
</div><br>
<div></div><div><div><b>Reference Code:</b></div> <div>871164</div><br>
<div></div>
<div></div>
</div><br>
</div></div><div></div><div><div><br>
<br>
<div><div><b>Contact Us</b></div>
</div><br>
<br>
<div></div><div><div><b>Email:</b></div> <div>hrop_usa@bayer.com</div></div></div></div></div>

Sr. Machine Learning Researcher, Domain-Aware Modeling & Scientific Machine Learning

Search 4+ Mathematician jobs near you this June. New roles added regularly across leading industries. Apply today.

4 mathematician jobs Near Me

Statistician/Mathematician

Mathematics - AI Trainer

Math

Sr. Machine Learning Researcher, Domain-Aware Modeling & Scientific Machine Learning