statistician

ICR, Inc.

<div><div><b>Bayesian Statistician (Data Scientist)</b><br>
Aurora, CO</div>
<div></div><div>Applications will be accepted on an ongoing basis.</div><br>
<div><br>
<br>
ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian statistics background.<br>
<br>
<b>Essential Job Responsibilities</b><br>
<br>
This Data Scientist will be expected to:</div>
<ul><li>Work independently on complex technical tasks that require in-depth data analysis methodologies and data/information collection</li>
<li>Develop unique technical solutions for applications in the intelligence field</li>
<li>Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements</li>
<li>Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required</li>
<li>Effectively handle concurrent technical tasks with conflicting priorities</li>
<li>Approach difficult problems with enthusiasm and creativity</li>
<li>Have the ability to change focus when necessary</li>
<li>Travel (up to 10%)</li>
</ul>
<div><br>
<b>Required Skills and Qualifications</b></div>
<ul><li>Active Top Secret Security Clearance with SSBI and SCI eligibility.</li>
<li>Experience with Bayesian statistics and time series analysis</li>
<li>Masters Degree in statistics with a minimum of Two (2) years of professional experience or PhD in statistics or related field
</li><li>Experience with computational analysis tools and developing software with at least one of the following programing language: Python (preferred), R, C++, MATLAB
</li><li>Experience with developing and applying advanced statistical/machine learning models and algorithms for one or more of the following: classification, clustering, anomaly detection, density estimation, data mining, pattern recognition, knowledge discovery</li>
<li>Experience with extracting and processing structured/unstructured data from various sources (e.g. databases, text files, web) and preparing data for analysis
</li><li>Collaborate with others in a multidisciplinary team environment to accomplish research goals
</li><li>Ability to work effectively in small-team settings to solve complex problems
</li><li>Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts
</li><li>Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information to customers</li>
</ul>
<div><br>
<b>Desired Qualifications</b></div>
<ul><li>Experience with the intelligence community
</li><li>Broad knowledge of statistical analysis, ML methods, and problem-solving skills
</li><li>Experience with: spatial statistics, multivariate statistics, Gaussian Process, Random Forest, Support Vector Machine, Natural Language Processing, Neural Networks
</li><li>Proficient with Python, Jupyter, Markdown
</li><li>Experience working with databases such as SQL and/or ELK stack
</li><li>Experience with creating data visualizations / dashboards</li>
</ul>
<div></div><div>Salary Range: $78,853 - $236,579</div>
<div></div><div>This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.</div><br>
<div></div>
<div></div><div><div><div>ICR, Inc. considers several factors when extending job offers, including but not limited to candidates&rsquo; key skills, relevant work and/or military experience, education, training certifications and work location.
</div>
<div></div><div><div><i>ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.</i></div></div></div></div></div><div></div>

Bayesian Statistician (Data Scientist) - Aurora, CO

Aga Khan University

<div><div>Research Specialist (Statistician), Paediatrics &amp; Child Health - MC - (260001R0)</div><div><div><br>
</div><p><b>Introduction:</b></p><p>
The Outreach and Research Program of the Department of Paediatrics and Child Health has ten community-based field sites across Pakistan (including four in Karachi) and focuses on research for betterment of women and child health. The Department has a Nutritional Research Laboratory as well as an Infectious Disease Research Laboratory that cater to the needs of its research projects. It has well-acclaimed work to its credit both at the national and international level.</p><p>
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.</p><p><b>
Responsibilities:</b></p><p>
 Specific responsibilities include to:</p><div><ul><li>
contribute to study design, protocol development, and statistical analysis planning</li><li>
perform sample size estimation, subject randomization, and database structuring</li><li>
manage, clean, and verify research data to ensure accuracy and completeness</li><li>
prepare derived datasets and perform descriptive and inferential statistical analyses using statistical software</li><li>
supervise data entry processes and conduct quality control checks on collected data</li><li>
generate tables, figures, and statistical outputs for reports and publications</li><li>
support manuscript preparation and correspondence with journals on statistical matters</li><li>
provide statistical support and guidance to research teams, residents, and faculty members</li></ul></div></div><div></div><div><div><br>
</div><p><b>Requirements:</b></p><p>
You should have:</p><div><ul><li>
master&rsquo;s degree in Statistics, preferably with additional certification</li><li>
at least three to four years of relevant experience in research or Public Health settings</li><li>
excellent command of statistical software such as Stata, R, and SPSS</li><li>
strong knowledge of data management, databases, and programming concepts</li><li>
proficiency in Microsoft Excel, Word, and PowerPoint for data analysis and presentation</li><li>
strong academic writing skills, including preparation of statistical analysis plans</li><li>
ability to explain statistical concepts clearly to non‑statistical audiences</li><li>
excellent verbal and written communication skills</li><li>
integrity and strong research ethics.</li></ul><p>
This is a close-ended position</p><div>
Comprehensive employment reference checks will be conducted.</div><div></div><div><b><br>
Disclaimer:</b></div><div></div><div><br>
The Aga Khan University is committed to the principles of equal employment opportunity for all employees and to providing employees with a work environment which is free from discrimination and harassment. All employment decisions at AKU are based on business needs, job requirements and individual&rsquo;s qualifications and experience, without regard to race, colour, caste or creed, national, social or ethnic origin, gender (except where gender is a bona fide occupational qualification). AKU does not discriminate among the job candidates on account of any of these characteristics.</div></div><div><br>
</div></div><div>
Primary Location: Pakistan-Karachi</div><div>
Organisation: Aga Khan University Pakistan</div><div>
Employee Status: Contractual</div><div>
Job Type: Experienced</div><div>
Job Posting: 30/04/2026, 12:33:23 AM</div><div>
Closing Date: 10/05/2026, 1:59:00 PM</div></div>

Research Specialist (Statistician), Paediatrics & Child Health - MC

DataAnnotation

<div>
 Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
 <br/>
 <br/>
 We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning &mdash; but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.
 <br/>
 <br/>
 That's where you come in.
 <br/>
 <br/>
 As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.
 <br/>
 <br/>
 To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  </li>
  <li>
   Flexible schedule: choose which projects you take on and when you work.
  </li>
  <li>
   Competitive pay: projects are paid hourly starting at $50-$100+/hr, with bonuses for high-quality and high-volume work.
  </li>
  <li>
   Impact: help shape the future of AI systems built to reason about data and analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
  </li>
  <li>
   Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
  </li>
  <li>
   Write clear technical explanations and well-documented analytical code.
  </li>
  <li>
   Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of hands-on experience in a quantitative role or research environment &mdash; such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
  </li>
  <li>
   Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
  </li>
  <li>
   Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
  </li>
  <li>
   Fluency in English (native or bilingual level) with strong writing skills.
  </li>
  <li>
   A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
  </li>
  <li>
   Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).
   <br/>
   <br/>
  </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.
 <br/>
 <br/>
 #datascience
</div>


Forecasting Analyst - AI Trainer

University of Wisconsin-La Crosse

<div><h2 class="jobSectionHeader"><b><i>Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
</i></b></h2><p></p><h2 class="jobSectionHeader"><b>Position Title:
</b></h2>Math Specialist
<p></p><h2 class="jobSectionHeader"><b>Job Category:
</b></h2>Academic Staff
<p></p><h2 class="jobSectionHeader"><b>Employment Type:
</b></h2>Regular
<p></p><h2 class="jobSectionHeader"><b>Job Profile:
</b></h2>Learning Center Specialist NE
<p></p><h2 class="jobSectionHeader"><b>Job Duties:
</b></h2><p>The Math Specialist will provide one-on-one and small-group instruction and tutoring to TRIO Student Support Services (SSS) participants for a learner-centered approach to meeting success outcomes. As the supervisor for peer tutors in the program, this position will provide onboarding, training, and oversight of student-employee performance goals. As liaison for SSS, the Math Specialist works closely with UWL math department faculty and Tutoring &amp; Learning Center leadership to maintain relationships and align support practices according to curricular expectations. SSS-eligible students include first-generation, low-income students and students with disabilities. This position reports directly to the Director of SSS.
 </p><p></p><p>The review of applications starts on <b>May 17 </b><b>, </b>2026 . Applications received on or before <b>May 17 </b><b>th </b>are prioritized and review will continue until the position(s) is/are filled. Initial interviews will be conducted virtually, with shortlisted candidates invited to campus.
</p><p></p><p>UW-La Crosse does not offer H-1B or other work authorization visa sponsorship for this position. Candidates must be legally authorized to work in the United States at the time of hire and maintain work authorization throughout the employment term. If you have questions regarding this, please contact Human Resources at 608-785-8013.
</p><p></p><h2 class="jobSectionHeader"><b>Key Job Responsibilities:
</b></h2><p><b>Academic Support &amp; Assessment
</b></p><p></p><ul><li><p>Provide personalized academic support focused on clarifying concepts and improving problem-solving skills while empowering students with confidence-building experiences.
</p></li><li><p>Assess SSS participants&rsquo; math and science skills and learning needs based on major to identify learning gaps and develop customized improvement plans.
</p></li><li><p>Stay current with course material or course outcomes in specific subject areas, utilizing technology, web-based resources, and/or online tutoring platforms in support of student learning needs.
</p></li><li><p>Provide tutoring support for the enhancement of student study skills, time management, and financial literacy goals.
</p></li><li><p>Provide exceptional customer service by building relationships with students, staff, and faculty. Demonstrate and practice cultural sensitivity, understanding and respect for a range of student needs in the university setting.
</p></li></ul><p><b>Peer Tutor Coordination
</b></p><p></p><ul><li><p>Recruit, train, and supervise peer tutors to support students in math, business, and science coursework.
</p></li><li><p>Assess applicant skills using transcripts and faculty references to determine suitability of skills as tutor for specific courses at UWL.
</p></li><li><p>Establish tutoring schedule in collaboration with student employees and SSS team for publication prior to week one of each semester.
</p></li><li><p>Provide oversight for onboarding tasks in coordination with HR.
</p></li><li><p>Lead and motivate peer tutors by developing them professionally and personally.
</p></li><li><p>Create, deliver and facilitate ongoing training needs specific to SSS populations, grant expectations, and office procedure.
</p></li><li><p>Facilitate monthly check-in meetings with employees in both one-on-one and team building efforts.
</p></li></ul><p><b>Administrative Duties
</b></p><p></p><ul><li><p>Maintain student records necessary for evaluations of grant assessment and academic support objectives.
</p></li></ul><p><b>SSS Outreach and Campus Involvement
</b></p><p></p><ul><li><p>Assist in outreach efforts to new SSS-eligible students by participating in campus events including, but not limited to, START (new first-year student orientation), TREK (new transfer student orientation), Campus Close-ups, and Involvement Fest.
</p></li><li><p>Present to classes and student organizations about the services offered through SSS.
</p></li></ul><p><b>Collaborative Community Engagement
</b></p><p></p><ul><li><p>Foster a welcoming community and cultivate students&rsquo; sense of belonging.
</p></li><li><p>Establish and maintain mentoring relationships with learners to help overcome barriers through referrals among SSS team members and campus partners.
</p></li><li><p>Assist in planning SSS events and participate in department, division, and campus-wide activities to promote belonging as well as the enrollment and retention of SSS participants.
</p></li><li><p>Serve as primary SSS liaison to Tutoring &amp; Learning Center as well as Math, Chemistry, Physics, and Biology Departments.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Department:
</b></h2><p>TRIO Student Support Services
</p><p></p><h2 class="jobSectionHeader"><b>Compensation:
</b></h2><p>$24.23 / hour
</p><p></p><h2 class="jobSectionHeader"><b>Required Qualifications:
</b></h2><ul><li>Bachelor&rsquo;s degree in math, math education, chemistry, biology, science, or related fields.
</li><li>Experience tutoring, teaching or instructing students in math or sciences.
</li><li>Experience empowering students and facilitating student success.
</li><li>Excellent interpersonal skills.
</li><li>Computer literacy.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h2><ul><li>Master&rsquo;s degree or higher in the sciences, math, education, or related fields.
</li><li>Minimum 2 years&rsquo; experience instructing and/or tutoring at the post-secondary level.
</li><li>Experience working with TRIO-eligible populations (first-generation college students, individuals from low-income households, or individuals with a documented disability).
</li><li>Knowledge of, or experience working in, TRIO Programs.
</li><li>Familiarity with student retention issues and strategies.
</li><li>Similar experience or background as that of TRIO participants.
</li><li>Additional training and study.
</li></ul><p></p><h2 class="jobSectionHeader"><b>How to Apply:
</b></h2><p>Required application documents
</p><p>Cover letter (that addresses the required and preferred qualifications)
</p><p>CV / Resume
</p><p></p><h2 class="jobSectionHeader"><b>Contact Information:
</b></h2><p>Luke Fannin lfannin@uwlax.edu
</p><p></p><h2 class="jobSectionHeader"><b>Special Notes:
</b></h2><p></p><p><b>Application deadlines
</b><br>
<b>TO ENSURE CONSIDERATION: Priority consideration is given to those candidates who apply by the listed &lsquo;First Review Date&rsquo;. </b>Applications received after that date may be considered at the discretion of the search committee. Application materials will be evaluated, and the most qualified applicants will be invited to participate in the next step of the selection process. Incomplete and/or late application materials may not receive consideration. If you have questions regarding this recruitment, or if you are not able to complete the application online due to a disability or system problem, please contact the Office of Human Resources.
<br>
<br>
<b>Confidentiality of Applicant Materials
</b><br>
UWL is a state agency and subject to Wisconsin&rsquo;s Open Records Law. UWL will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin&rsquo;s Open Records law. In certain circumstances, the identities of &ldquo;final candidates&rdquo; and/or the identity of the appointed applicant must be revealed upon request.
<br>
<br>
<b>CBC &amp; Reference Check Policy
</b><br>
All candidates for employment are subject to a pre-employment screening which includes a criminal background check, work authorization, and verification of education. It will also require you and your references to answer questions regarding sexual violence and sexual harassment.
</p><p></p><p><b>Annual Security and Fire Safety Report (Clery Act)
</b><br>
For the UWL Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.uwlax.edu/student-life/student-resources/annual-security-report/ or contact the University Police Department at 608.785.9000.
</p><p></p><p><b>INFORMATION ABOUT YOUR BENEFITS
</b><br>
Your benefits add an additional 40%+ to the overall financial package from the university.
<br>
Highlights include:
</p><ul><li><p>Paid vacation for 12-month positions.
</p></li></ul><ul><li><p>Excellent flexible health insurance with low co-pays and good coverage.
</p></li></ul><ul><li><p>Paid holidays and paid sick days.
</p></li><li><p>After 5 years of employment, you become vested in our retirement system which ensures income post-career.
</p></li></ul><ul><li><p>Benefits at UWL are highly competitive with local industry and some of the strongest in state and nation.<br>
</p></li></ul><p><br>
Benefit eligibility is determined at the point of hire. This information is provided for illustrative purposes only. Benefits are also pro-rated based on the appointment percentage.
</p><p></p><p><b>UW is an Equal Opportunity Employer
</b><br>
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.</p></div>

Math Specialist

Growth Analyst - AI Trainer

The Home Depot

<div><b>Position Purpose:</b><p>
The Sr. Statistical Forecast Analyst position is responsible for the development of The Home Depot sales forecast at the Store/SKU level. With input from the appropriate Replenishment Analysts, they establish Store/SKU clustering, Seasonal selling profiles and exception reporting criteria for their assigned product categories. They will make appropriate adjustments as dictated by forecast accuracy. The Sr. Statistical Forecast Analyst will work collaboratively with the Replenishment Analysts in reviewing and resolving the forecast exceptions and ensuring the business strategies are appropriately implemented and maintained in the system. They will be required to interpret data based on specific statistical criteria and to synthesize the findings from the analysis. The Sr. Statistical Forecast Analyst will lead strategic process improvement initiatives by analyzing business processes, procedures and monitoring the progress. The Sr. Statistical Forecast Analyst will mentor and assist Statistical Forecast Analyst as necessary.</p><b><br>
Key Responsibilities:</b><ul><li>
50% Develop statistical forecast models by SKU/Store groups, establish parameters for exception reporting and make appropriate revisions as indicated from the Forecast exception reporting. Track forecast accuracy at various product and store hierarchy levels. Identify and mitigate sources of forecast variance through collaboration with Inventory Analysts and Upper Management. Establish business rules for shaping customer demand in collaboration with functional partners regarding product seasonality, product knowledge and Merchandising strategies. Ensure forecast models are adjusted for changing business strategies and product assortments.</li><li>
10% Establish business rules for shaping customer demand in collaboration with functional partners regarding product seasonality, product knowledge and Merchandising strategies. Ensure forecast models are adjusted for changing business strategies and product assortments.</li><li>
10% Share insights, challenge assumptions and identify drivers of forecast variance with appropriate Replenishment analysts and Management. The associate will provide formal training and on-going mentoring for the Replenishment Analysts.</li><li>
30% Will take a leadership role in driving the functionality and processes of the forecasting environment. Analyze, identify and implement opportunities for improvements to the forecasting process. Contributes significant participation in cross functional projects by developing timelines and coordinating teams across each area, ensuring on time delivery of goals and requirements.</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
Position generally reports to a Manager or Sr. Manager</li><li>
Responsible for helping others and providing on-the-job training or guidance</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><br>
<b>
Physical Requirements:</b><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Strong analytical and statistical skills. Must be familiar with and comfortable with methods for organizing, handling and evaluating large amounts of data.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
Previous experience with demand forecasting or supply chain replenishment in an environment with high numbers of store/sku records. Prior experience leading teams and/or managing projects.</li><li>
Advanced computer skills to retrieve, manipulate, analyze and interpret large amounts of data. Experience with MS Office Excel and Access.</li><li>
Prior experience using Teradata DCM forecasting software, or a similar advanced demand forecasting tool.</li><li>
Proficient in business process evaluation and procedure development; demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Masters Degree with an emphasis in Supply Chain Management or Economics.</li></ul><br>
<b>
Minimum Education:</b><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
5</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problem solving.</li><li>
Solid understanding and use of statistical software to manipulate, analyze and interpret data.</li><li>
Proficient in business process evaluation and procedure development; demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Strong written and verbal communications skills. Ability to persuade or influence others.</li><li>
Strong self starter with ability to work with little supervision.</li></ul></div>

Senior Statistical Forecast Analyst

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11 statistician jobs Near Me

Bayesian Statistician (Data Scientist) - Aurora, CO

Research Specialist (Statistician), Paediatrics & Child Health - MC

Forecasting Analyst - AI Trainer

Forecasting Analyst - AI Trainer

Math Specialist

Growth Analyst - AI Trainer

Senior Statistical Forecast Analyst