This Associate Statistician (Data Science Focus) will be a member of the USPA Data Analytics and Applied Sciences (DAAS) group. DAAS is a team of survey methodologists, statisticians, and Ph.D. social and behavioral scientists located in Ipsos offices throughout the US. DAAS researchers work across disciplines to develop custom, high quality data and analytic solutions, and produce empirical insights used throughout the USPA practice. DAAS researchers are passionate about research, data, problem-solving, and innovation.
Key Responsibilities
- 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.
- 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.
- Prepare internal and external data for analysis, and review data as they come in from the field.
- Serve as supporting author on client technical deliverables, as well as narrative proposals.
- Actively contribute to technical literature reviews and solutioning sessions in the domains of statistics, data science, causal inference, synthetic data, and data integration.
- 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.
- Interface with other technical teams across Ipsos to facilitate effective deployment of high performance computing resources.
The Ideal Candidate has the following Skills, Experience, and Attributes
- Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field.
- Between 2-6 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.
- Experience with Bayesian modeling and / or supporting the design and implementation of complex sampling and weighting plans a plus.
- 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.).
- Experience with Census, health, public opinion, and demographic data.
- Advanced skills in R and Python (must have experience using PyTorch); skill in SAS preferred.
- Ability to convey complex technical topics to non-technical audiences, both verbally and in written form.
- Proactive, and comfortable working within tight and shifting timelines. Ability to support multiple projects simultaneously, while maintaining a strong client service orientation.
- Unflagging attention to detail and commitment to the accuracy and completeness of information, quality of results, and robustness of findings.
- Team player with strong interpersonal skills, and the potential to grow as a multidisciplinary quantitative researcher in a dynamic and entrepreneurial organization.
- 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.
In order to comply with US Federal Government requirements, the successful candidate must be a US Citizen.
If you don’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’re applying to!
In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $100,000 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.
What’s in it for you:
At Ipsos you’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.
To find out more about all the great reasons to work at Ipsos, how we’re making an impact around the world, and more about our benefits and employee programs, please visit:
Why Work at Ipsos | US
Why Work at Ipsos | CA
Commitment to Diversity
Ipsos recognizes the necessity of building an inclusive culture that values each employee’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’ diverse employees who compile and analyze this data—they are the essence of who we are and what we do.
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.
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.
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About UsIpsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work! About the Team
The Public Affairs Service Line is the world leader in Social and Opinion Research. We work with clients on political and public opinion polling, citizen and stakeholder management, social policy improvement, sustainable development strategy and identifying societal trends and perceptions across several sectors. We assess how government and public affairs policies as well as societal trends and views impact our client’s brand/products/markets.
Skills Required
- Master's or PhD in statistics, biostatistics, data science, computer science, or relevant quantitative social/behavioral science
- 3-6 years experience in applied research settings (serving federal or state statistical or policy agencies preferred)
- Advanced skills in R
- Advanced skills in Python
- Experience using PyTorch
- Experience designing and implementing complex sampling and weighting plans, variance adjustments, and blending samples for survey inference
- Ability to prepare, review, and quality-check incoming data and prepare internal/external data for analysis
- Ability to communicate complex technical topics clearly to non-technical audiences (written and verbal)
- Ability to manage multiple projects under tight and shifting timelines, strong client service orientation
- Attention to detail and commitment to accuracy, completeness, and robustness of findings
- Experience with Bayesian modeling
- Formal training in longitudinal data analysis (growth curve, mixed effects, panel, survival, time series)
- Experience with Census, health, public opinion, and demographic data
- Skill in SAS
- Familiarity with high performance computing workflows and interfacing with technical teams
Ipsos Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ipsos and has not been reviewed or approved by Ipsos.
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Leave & Time Off Breadth — Time-off policies include generous vacation allowances, paid sick time, volunteer days, Summer Fridays, and an extra birthday day in some regions. Allowances in some markets increase with tenure and include options to buy or sell holiday time.
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Healthcare Strength — Health coverage spans multiple medical plans, dental and vision care, an Employee Assistance Program, and employer-funded income protection and life assurance in certain regions. Private medical coverage is offered for some levels, alongside mental health support resources.
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Parental & Family Support — Paid parental leave is available across regions, with multi-month options and equal maternity and paternity leave in the UK. Flexible working approaches and family-friendly policies are emphasized.
Ipsos Insights
What We Do
In our world of rapid change, the need for reliable information to make confident decisions has never been greater. At Ipsos we believe our clients need more than a data supplier, they need a partner who can produce accurate and relevant information and turn it into actionable truth. This is why our passionately curious experts not only provide the most precise measurement, but shape it to provide True Understanding of Society, Markets and People. To do this we use the best of science, technology and know-how and apply the principles of security, simplicity, speed and substance to everything we do. So that our clients can act faster, smarter and bolder. Ultimately, success comes down to a simple truth: YOU ACT BETTER WHEN YOU ARE SURE First listed on the Paris Stock Exchange: July 1, 1999 Total revenues in 2019: 2,003.3 million euros
