statistician

GAP Solutions, Inc.

<div>Position Objective: Provide expert statistical support for the Centers for Disease Control and Prevention's (CDC) Coronavirus and Other Respiratory Viruses Division&rsquo;s (CORVD) research and surveillance, including study design, advanced modeling (including Bayesian methods), and publication-quality interpretation of results.
Duties and Responsibilities:
<ul><li>Provide expert statistical support on complex epidemiologic/medical record/lab datasets.</li><li>
Support quantitative method development, including Bayesian approaches.</li><li>
Develop and diagnose statistical/mathematical models; interpret and present results.</li><li>
Contribute to publications and presentations; collaborate across CORVD/CDC teams.</li><li>
Introduce/extend innovative statistical approaches to address public health problems.</li></ul>
Basic Qualifications:<ul><li>
Demonstrated experience performing advanced statistical analyses and model development</li><li>
Ability to communicate statistical results clearly to non-statistical stakeholders</li><li>
Strong scientific writing/review capability for manuscripts/presentations</li><li>
Ability to obtain/maintain Public Trust suitability and comply with CDC policies</li></ul>
Preferred Qualifications:<ul><li>
Experience with Bayesian methods and complex study design</li><li>
Experience collaborating with multi-disciplinary public health research teams</li><li>
Familiarity with CDC-relevant statistical tooling/workflows (e.g., R/SAS environments)</li></ul>
<ul><li>This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
</li></ul>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.</div>

Statistician

US Department of Veterans Affairs

Research Statistician

Genius Sports

<div>
 
 
 JOIN OUR TEAM AT GENIUS SPORTS!
 
 
 
 
 
 
 
 WHO ARE WE?
 
 
 
 
 
 
 Genius Sports is the official data, technology, and commercial partner driving the connection between sports, betting, and media on a global scale. Our mission is to create a more sustainable sports data network powered by rich, official live data. To achieve this, we're seeking enthusiastic Statisticians to join our team and collect match data while attending live sporting events.
 
 
 
 
 
 
 ARE YOU PASSIONATE ABOUT FOOTBALL?
 
 
 
 
 
 
 If you love football and want to be part of the action while getting paid, this is your opportunity! We are looking for individuals in the
 
 Doha, Qatar
 
 area to collect official live data from football events.
 
 
 
 
 
 As a Statistician, you will use our user-friendly smartphone-enabled software to report live events, including every shot, goal, tackle, and save. Don&rsquo;t worry if you lack previous reporting experience - we provide comprehensive e-learning courses and practical training to ensure you&rsquo;re fully prepared to cover live games. This is the perfect chance for sports enthusiasts to earn extra income while doing something they love.
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 <ul>
 <li>
 Guaranteed base pay of &euro;50 per game
 </li>
 <li>
 A performance-based reward system
 </li>
 <li>
 Coverage of travel expenses
 </li>
 </ul>
 
 If you&rsquo;re eager to immerse yourself in the world of sports and want to be part of our global network of statisticians, we want to hear from you!
 
 
 
 
 
 
 JOB REQUIREMENTS:
 
 
 <ul>
 <li>
 Basic level in English
 </li>
 <li>
 Regular availability for a few hours on weekends and weekday evenings
 </li>
 <li>
 Familiarity with using a smartphone
 </li>
 <li>
 Willingness to travel
 </li>
 <li>
 A strong knowledge of football
 </li>
 <li>
 Reliability, commitment, organization, and integrity
 </li>
 <li>
 Exceptional attention to detail
 </li>
 </ul>
 
 
 
 
 
 GET TO KNOW US:
 
 
 
 For more information about our mission and values, visit:
 
 Genius Sports
 
 
 
 
 
 
 
 ARE YOU READY TO JOIN THE GENIUS SPORTS TEAM?
 
 
 
 If you&rsquo;re excited about this opportunity, we&rsquo;d love to hear from you! Apply now and become a vital part of our team!
 
</div>

Sports Statistician (Data Collection)

Kraft Heinz

<div><h2 class="jobSectionHeader">Job Description
</h2>Senior Principal Scientist, R&amp;D &ndash; Consumer Experience Statistician
Job Purpose
The Senior Principal Scientist for Consumer Experience is a high-impact R&amp;D leadership role responsible for the strategic integration of statistical expertise into the consumer research lifecycle. You will serve as the primary architect for experimental frameworks that drive product innovation and legally defensible global claims. Beyond data analysis, you will lead end-to-end consumer experience projects, manage an elite ecosystem of external research partners, and ensure the operational excellence of research facilities worldwide. This role requires a blend of advanced technical mastery and proactive project leadership to transform consumer insights into a competitive market advantage.
Essential Functions &amp; Responsibilities
<ul><li>End-to-End Project Leadership: Lead and oversee consumer experience projects from inception to completion, ensuring statistical rigor is embedded in the research design and that findings directly influence R&amp;D innovation roadmaps.
</li></ul><ul><li>Vendor Ecosystem &amp; Strategy: Define and maintain a preferred network of global consumer and sensory research agencies. Leverage extensive industry knowledge to select partners that offer cutting-edge methodologies and best-in-class data quality.
</li></ul><ul><li>Quality Assurance &amp; Facility Auditing: Conduct on-site audits of vendor facilities and research sessions to ensure compliance with protocols, data integrity standards, and best practices in sensory/consumer testing.
</li></ul><ul><li>Research Travel: Travel as necessary to observe research in the field, supervise complex data collection sessions, and ensure the execution of studies aligns with strategic objectives.
</li></ul><ul><li>Claims Substantiation: Lead the statistical design and analysis for consumer-centric research to support global product claims, ensuring all evaluations meet the highest standards for legal and regulatory defensibility.
</li></ul><ul><li>Methodological Innovation: Identify and implement emerging statistical techniques (e.g., Bayesian modeling, predictive analytics) to uncover non-obvious consumer insights and product white spaces.
</li></ul><ul><li>Consultative Influence: Act as a senior consultant to R&amp;D and Marketing leadership, translating complex statistical findings into compelling business narratives that guide executive decision-making.
</li></ul><ul><li>Regulatory &amp; Industry Influence: Maintain active engagement with professional associations and standards-setting bodies (e.g., ASTM, ISO) to stay ahead of emerging statistical, methodological, and claims-support standards and translate these advancements into internal best practices.
</li></ul>Expected Experience &amp; Required Skills
<ul><li>Master&rsquo;s degree (MS) in Statistics, Biostatistics, or a related quantitative field is required.
</li></ul><ul><li>A minimum of 7 to 10+ years of post-graduation practical experience, with a heavy emphasis on the Consumer Packaged Goods (CPG) or sensory research industries.
</li></ul><ul><li>Proven track record of managing large-scale external research agencies and navigating the vendor ecosystem to deliver high-quality results.
</li></ul><ul><li>Demonstrated experience leading multidisciplinary projects and providing senior-level guidance in a fast-paced R&amp;D environment.
</li></ul><ul><li>Expert knowledge of ANOVA, Multivariate Methods, DOE, Regression, Hypothesis Testing, and Power Analysis.
</li></ul><ul><li>Ability to audit and evaluate the technical capabilities of external research facilities and data collection methodologies.
</li></ul><ul><li>Deep understanding of multiple research methodologies (CLT, IHUT, Sensory Profiling) and the rigorous requirements for product claims support.
</li></ul><ul><li>Exceptional ability to &quot;story tell&quot; with data, presenting findings to both technical experts and non-technical executive audiences.
</li></ul><ul><li>Ability to work independently, manage high-stakes project commitments, and influence cross-functional peers without direct authority.
</li></ul><ul><li>Ability to travel up to XX% of the time for business needs
</li></ul>Work Environment &amp; Schedule
This position operates primarily in a hybrid work environment and is based at the Kraft Heinz R&amp;D Innovation Center in Glenview, IL. Our hybrid model provides flexibility based on business needs, allowing employees to work virtually up to two days per week, with an expectation to work on-site at least three days per week at the Glenview Innovation Center. In addition, this role may periodically be required to work from or visit the Kraft Heinz North American Headquarters at the Aon Center in downtown Chicago to support meetings with senior leadership, cross-functional partners, and key stakeholders.
Physical Requirements
Physical demands include but not limited to
<ul><li>List the job&rsquo;s physical requirements. (Mental requirements are not needed.)
</li></ul>This job description is not designed to cover or contain all duties or responsibilities that are required of the role. Duties or responsibilities may change or be added with or without notice.
Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz&rsquo; strategy and values.
New Hire Base Salary Range:
$120,800.00 - $151,000.00
Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors
Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family&rsquo;s needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
You&rsquo;ll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:
<ul><li>Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
</li><li>Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training
</li><li>Emotional &ndash; Employee Assistance Program , Wellbeing Programs, Family Support Programs
</li><li>Financial &ndash; 401k, Life, Accidental Death &amp; Dismemberment, Disability
</li></ul>Location(s)
Glenview R&amp;D Center 
 
Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact NAZTAOps@kraftheinz.com for assistance.</div>

Senior Principal Scientist, R&D – Consumer Experience Statistician

Simbi Labs India

About the Role We&rsquo;re seeking an experienced and detail-oriented Senior Statistician to join our analytics and research team. In this role, you&rsquo;ll leverage your statistical expertise to design studies, analyze complex datasets, and provide actionable insights that guide strategic decisions. You&rsquo;ll work closely with cross-functional teams, mentor junior analysts, and contribute to data-driven innovation across the organization.Key Responsibilities<ul><li>Design and execute statistical analyses for experimental, observational, and survey data.</li><li>Develop and validate predictive and inferential models using advanced statistical techniques (regression, ANOVA, Bayesian methods, time-series, etc.).</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and key drivers of outcomes.</li><li>Collaborate with data engineers and scientists to ensure data quality, accuracy, and consistency.</li><li>Provide statistical consultation to business, product, and research teams, translating technical results into clear, actionable insights.</li><li>Prepare technical reports, visualizations, and presentations for both technical and non-technical audiences.</li><li>Mentor junior statisticians and data analysts, promoting best practices in statistical modeling and data interpretation.</li></ul>Requirements<ul><li>Master&rsquo;s or Ph.D. in Statistics, Applied Mathematics, or a related field.</li><li>5&ndash;6 years of hands-on experience in applied statistics, data analysis, or quantitative research.</li><li>Strong command of statistical software and programming languages such as R, Python, SPSS, AMOS, MPLus, SAS, Mathematica, or Stata</li><li>Proficiency in SPSS, AMOS, MPlus, STATA, R, etc</li><li>Solid understanding of hypothesis testing, sampling methods, experimental design, regression modeling, and multivariate analysis.</li><li>Excellent problem-solving, analytical thinking, and communication skills.</li><li>Ability to work independently and manage multiple projects in a fast-paced environment.</li></ul>Job Type: Full-timePay: ₹20,000.00 - ₹40,000.00 per monthEducation:<ul><li>Master's (Required)</li></ul>Experience:<ul><li>Statistical analysis: 3 years (Required)</li></ul>Language:<ul><li>English, hindi (Required)</li></ul>Location:<ul><li>Delhi, Delhi (Required)</li></ul>Willingness to travel:<ul><li>75% (Required)</li></ul>Work Location: In person

Statistical Programmer

YO IT Consulting

<div>
 Contract
 
 
 Remote
 
 
 Role Description
 
 
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 
 
 Your Profile
 
 
 <ul>
 <li>
 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
 </li>
 <li>
 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
 </li>
 <li>
 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
 </li>
 <li>
 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
 </li>
 <li>
 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
 </li>
 <li>
 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
 </li>
 <li>
 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
 </li>
 <li>
 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
 </li>
 <li>
 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 </li>
 </ul>
</div>

R - Programming Software Engineer

SME Careers

<div>
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 
 </li>
 </ul>
 
 Your Profile
 
 
 <ul>
 <li>
 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
 </li>
 <li>
 Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
 </li>
 <li>
 Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
 </li>
 <li>
 Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
 </li>
 <li>
 Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
 </li>
 <li>
 Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
 </li>
 <li>
 Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
 </li>
 <li>
 Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
 </li>
 <li>
 Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
 </li>
 </ul>
</div>

R Engineer

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