Category
Global Science Organization
Job Location
Culver City, California
Tracking Code
17362
Position Type
Full-Time/Regular
Data Scientist
Who We Are
Ipsos 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’re proud to share we’ve received our Great Place to Work Certification for 2022!
About Global Science Organization (GSO), Data Science, and Al Lab:
The Data Science & AI Lab of the Ipsos GSO is a uniquely positioned group within Ipsos. We serve as the global R&D capability bridging data science with market research offerings. The team develops analytic tools, builds data science models for pilot studies and internal stakeholder analytics innovations, and consults on a broad range of data and research best practices. Working in a collaborative and supportive environment, we seek to expand what is possible in market research with data science.
What makes this role important at Ipsos?
The Data Science & AI Lab of the Ipsos GSO is a uniquely positioned group within Ipsos. We serve as the global R&D capability bridging data science with market research offerings. The team develops analytic tools, builds data science models for pilot studies and internal stakeholder analytics innovations, and consults on a broad range of data and research best practices. Working in a collaborative and supportive environment, we seek to expand what is possible in market research with data science.
We’re looking for someone with a deep interest in data, analytics, and technology. We need someone that possesses the technical ability to write production-level code, quickly learn new models and technology, pivot when necessary, and perform the requisite R&D to implement innovative data science methods for a diverse set of applications. People who are successful in this role have a learner's passion, are uncanny upskillers, show an extraordinary attention to detail, the ability to work well on a small team, and have a self-starter approach to problem-solving and debugging.
What You Can Expect To Be Doing
- Work closely with team members on design and execution of large-scale modeling efforts, contributing to analytics libraries and integrating statistical theory
- Collaborate on engineering new data science products by translating needs identified with stakeholders into analytic frameworks that can be built into polished user-facing tools
- Build, maintain, and enhance existing codebases
- Synthesize academic research, tech innovations, and cloud scalability, to elevate business value for clients, both current and prospective
- Validate analytics innovations from marketing science and data science teams globally
- Provide consulting for internal teams and clients on data engineering and hygiene, areas for improving process efficiency, and data science algorithms and results
This might be the job for you if you have:
- High proficiency writing R and/or Python, including the ability to produce and maintain reusable and modular codebases.
- Bachelor’s degree
- Desire to work in a highly collaborative, fun, consensus-oriented environment.
- Experience in analytics, extracting and surfacing value from quantitative data.
- Attentive learner with excellent time-management skills.
- Ability to lucidly communicate data science concepts verbally and in written form.
Pluses
- Professional or academic experience with modern techniques and algorithms in machine learning and statistical computing such as neural networks, genetic algorithms, Bayesian modeling, data fusion, drivers analysis, clustering, predictive analytics, network analysis, Monte Carlo, and agent-based models.
- Experience developing data science models in cloud platforms (e.g. GCP, AWS).
- Working knowledge of SQL and experience with database design and administration.
- Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
- Large dataset manipulation. Experience in distributed storage and computing.
- Experience in the field of Market Research.
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!
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.
Benefits
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
US -
https://www.ipsos.com/en-us/careers/opportunities-ipsos
CA - https://www.ipsos.com/en-ca/opportunities-ipsos
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.
Job Duration
Regular/At-Will
