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statistician

Ipsos

<div><p><b>Key Responsibilities
</b></p><ul><li>Support diverse USPA project teams in addressing client research needs via developing efficient and robust study designs, and executing comprehensive, advanced inferential and predictive analyses.
</li><li>Assist senior researchers in generating complex weighting adjustments using machine learning as well as classical statistical procedures, implementing variance adjustments for survey inferences, blending samples, and monitoring data quality.
</li><li>Prepare internal and external data for analysis, and review data as they come in from the field.
</li><li>Serve as supporting author on client technical deliverables, as well as narrative proposals.
</li><li>Actively contribute to technical literature reviews and solutioning sessions in the domains of statistics, data science, causal inference, synthetic data, and data integration.
</li><li>Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop visualizations and insights, and communicate results to clients and stakeholders.
</li>Interface with other technical teams across Ipsos to facilitate effective deployment of high performance computing resources.<br>
<li>
</li></ul><p></p><p><b>The Ideal Candidate has the following Skills, Experience, and Attributes
</b></p><ul><li>Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field.
</li><li>Between 3-6 years of experience (depending on credential) in an applied research settings, preferably serving Federal or state statistical or policy agencies in the domains of population and / or behavioral research.
</li><li>Experience with Bayesian modeling and / or supporting the design and implementation of complex sampling and weighting plans a plus.
</li><li>Formal training in one or more forms of longitudinal data analysis and their application to social and behavioral research (i.e., growth curve modeling, mixed effects models, panel methods, failure time / event history analysis, time series, etc.).
</li><li>Experience with Census, health, public opinion, and demographic data.
</li><li>Advanced skills in R and Python (must have experience using PyTorch); skill in SAS preferred.
</li><li>Ability to convey complex technical topics to non-technical audiences, both verbally and in written form.
</li><li>Proactive, and comfortable working within tight and shifting timelines. Ability to support multiple projects simultaneously, while maintaining a strong client service orientation.
</li><li>Unflagging attention to detail and commitment to the accuracy and completeness of information, quality of results, and robustness of findings.
</li><li>Team player with strong interpersonal skills, and the potential to grow as a multidisciplinary quantitative researcher in a dynamic and entrepreneurial organization.
</li>Flexible and comprehensive thinker with enthusiasm for learning and population research; solid foundation in the theoretical and practical aspects of applying statistics as well as data science tools and principles to custom, hypothesis-driven social and behavioral research.<br>
<li>
</li></ul><p></p><div><div><i>If you don&rsquo;t meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you&rsquo;re applying to!<br>
</i></div></div><div></div><div><div><i>In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $110,000 to $120,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.<br>
</i></div></div><div></div><div><div><b>What&rsquo;s in it for you:
</b></div></div><div><div><i>At Ipsos you&rsquo;ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.<br>
</i></div></div><div></div><div><div><i>To find out more about all the great reasons to work at Ipsos, how we&rsquo;re making an impact around the world, and more about our benefits and employee programs, please visit:</i><i><br>
</i>
<br>
Why Work at Ipsos | US
</div></div><div><div>Why Work at Ipsos | CA<br>
</div></div><div></div><div><div><b>Commitment to Diversity
</b></div></div><div><div>Ipsos recognizes the necessity of building an inclusive culture that values each employee&rsquo;s individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos&rsquo; diverse employees who compile and analyze this data&mdash;they are the essence of who we are and what we do.<br>
</div></div><div></div><div><div>We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.<br>
</div></div><div></div><div><div>Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.<br>
</div><div></div><div>#LI-TL1 #LI-Hybrid</div></div></div><p></p>

Statistician

DataAnnotation

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 We are looking for existing quantitative professionals to help train AI models. In this role, you will work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analyses, 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.
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 <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.
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 <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 $50-$100+ USD per hour, with bonus rates available on some projects
   <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. PayPal will handle any currency conversions from USD. Only applicants in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand will be considered for this role. This is an independent contractor position.
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 #datascience
</div>


Forecasting Analyst - AI Trainer

Explore 2+ Statistician in Washington this June. Find roles across top companies and apply now to boost your career.

2 statistician jobs In Washington

Statistician

Forecasting Analyst - AI Trainer