Ipsos in US
Job Description
Within Ipsos, the Creative Excellence team helps clients understand what makes advertising effective across TV, digital, social, and other media channels. A core strategic solution is Creative Spark AI, an AI-enabled capability that predicts and explains ad performance at scale and globally. In this role you will support the development and evolution of this solution and create new products that leverage the framework for market opportunities.
What We Offer
The opportunity to work with cutting‑edge AI and data technologies in a production environment, in partnership with experienced data scientists and engineers in the Generative AI & Data Science department.
A culture that values curiosity, scientific rigor, collaboration, and continuous learning.
The chance to grow into more senior or specialized roles (e.g., lead data scientist, AI product specialist, or domain expert in creative analytics).
Role Summary Contribute to the design and experimentation of the AI models and features that power Creative|Spark AI and related solutions. Experiment with alternative measurement and modelling best practices that may become independent products or solutions. Ensure experimentation and custom analyses align with Creative|Spark AI global methodology. Translate research brief into modelling problems (data, features, approach, evaluation) and deliver actionable insights to decision makers. Work autonomously on clearly defined problems, collaborate closely with lead data scientists and engineers, and progressively take ownership of more complex workstreams.
Key Responsibilities
Feature and model development – design, engineer, and test new model variants from survey, coded, or digital data sources to improve prediction accuracy and explainability across distinct advertising environments and verticals.
Integrate new features into experimental models and quantify their impact on accuracy, robustness, and interpretability, summarizing results for senior management decision‑making.
Document feature definitions, derivation logic, and performance impact for reproducibility.
Design and execute experiments and benchmarks comparing different feature sets, algorithms, or model configurations (classical ML, deep learning, NLP/CV).
Use appropriate evaluation metrics (accuracy, AUC, RMSE, calibration, stability across segments) and validation schemes (cross‑validation, hold‑out, time‑based splits) for robust conclusions.
Maintain clear experiment logs and documentation (notebooks, reports, dashboards) so results can be reviewed, reproduced, and reused by CRE and GADS teams.
Contribute to continuous improvement of modelling best practices for Creative|Spark AI.
Advocate for new products and solutions that generate incremental revenue on top of CRE’s core business.
Translate understanding of Ipsos’ Creative Excellence business into new solutions with global and US product teams, consistently delivering accurate responses using ML, Gen AI, and survey methods.
Drive transformation of Ipsos’s business model through the strategic use of synthetic data, enhance insight generation, and enable advanced market simulations.
Support innovative product development and new revenue streams, maximizing value from data assets.
Help translate stakeholder business and research questions into robust analytical workflows aligned with Ipsos’ methodologies and AI governance.
Present modelling results, feature impacts, and recommendations in clear, non‑technical language to CRE stakeholders.
Collaborate with business‑facing teams to frame and refine client questions, ensuring feasibility and methodological rigor.
Contribute to internal training, playbooks, and knowledge sharing on our core AI solution.
Support client‑facing presentations or proposals with concise, well‑structured analytical inputs when relevant.
Skills & Qualifications Education
Master’s degree (or equivalent) in Data Science, Statistics, Applied Mathematics, Computer Science, Econometrics, or a related quantitative field.
PhD is a plus but not required.
Experience
7–10 years of professional experience as a Data Scientist in applied machine learning.
Hands‑on experience building and evaluating supervised learning models (regression/classification) in real‑world use cases.
Experience in product management or technical lead roles is a plus.
Experience in at least one of the following:
Marketing, advertising, media, or market research;
Predictive modelling on survey, panel, or customer behaviour data.
Prior exposure to production or near‑production environments (e.g., models that are deployed, monitored, and iterated).
Technical Skills
Computer Vision, Gen AI, and NLP expertise.
Strong proficiency in Python and core data & ML libraries (pandas, NumPy, scikit‑learn; optionally TensorFlow, PyTorch, CatBoost, XGBoost).
Good working knowledge of SQL and experience querying large analytical datasets (e.g., BigQuery).
Demonstrated understanding of core ML concepts: feature engineering, regularization, model selection, cross‑validation, evaluation metrics, bias, overfitting, drift, and robustness.
Experience with NLP or Computer Vision applied to creative content (scripts, storyboards, video/image/audio).
Experience with cloud platforms, ideally Google Cloud Platform.
Experience with experiment tracking and MLOps tools (MLflow, model registries, CI/CD for ML).
Strong analytical and problem‑solving skills with attention to detail and methodological rigor.
Ability to translate business and research problems into concrete analytical approaches.
Comfortable working in cross‑functional teams (data science, engineering, research, client service).
Curious, pragmatic, and eager to learn from both technical and non‑technical colleagues.
Able to work autonomously on well‑defined workstreams while seeking feedback when needed.
Excellent communication skills.
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 $110,000 to $140,000. 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 (generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.
Benefits To learn more about all the great reasons to work at Ipsos, our benefits, and employee programs, please visit:
Why Work at Ipsos | US .
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 behaviours 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.
About Us Ipsos is one of the world’s largest research companies and is the only one primarily managed by researchers, ranking as the #1 full‑service research organization for four consecutive years. With over 75 different data‑driven solutions and a 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. We help some of the biggest companies solve their biggest problems, serving more than 5,000 clients globally.
About The Team The Creative Excellence Service Line helps our clients attain best‑in‑class advertising that drives business results. We do this by aiding Creative Development (help with creating advertising), Creative Assessment (help with assessing advertising and providing guidance to improve it), and Creative In‑Market (ad tracking once the advertising is launched).
#J-18808-Ljbffr
What We Offer
The opportunity to work with cutting‑edge AI and data technologies in a production environment, in partnership with experienced data scientists and engineers in the Generative AI & Data Science department.
A culture that values curiosity, scientific rigor, collaboration, and continuous learning.
The chance to grow into more senior or specialized roles (e.g., lead data scientist, AI product specialist, or domain expert in creative analytics).
Role Summary Contribute to the design and experimentation of the AI models and features that power Creative|Spark AI and related solutions. Experiment with alternative measurement and modelling best practices that may become independent products or solutions. Ensure experimentation and custom analyses align with Creative|Spark AI global methodology. Translate research brief into modelling problems (data, features, approach, evaluation) and deliver actionable insights to decision makers. Work autonomously on clearly defined problems, collaborate closely with lead data scientists and engineers, and progressively take ownership of more complex workstreams.
Key Responsibilities
Feature and model development – design, engineer, and test new model variants from survey, coded, or digital data sources to improve prediction accuracy and explainability across distinct advertising environments and verticals.
Integrate new features into experimental models and quantify their impact on accuracy, robustness, and interpretability, summarizing results for senior management decision‑making.
Document feature definitions, derivation logic, and performance impact for reproducibility.
Design and execute experiments and benchmarks comparing different feature sets, algorithms, or model configurations (classical ML, deep learning, NLP/CV).
Use appropriate evaluation metrics (accuracy, AUC, RMSE, calibration, stability across segments) and validation schemes (cross‑validation, hold‑out, time‑based splits) for robust conclusions.
Maintain clear experiment logs and documentation (notebooks, reports, dashboards) so results can be reviewed, reproduced, and reused by CRE and GADS teams.
Contribute to continuous improvement of modelling best practices for Creative|Spark AI.
Advocate for new products and solutions that generate incremental revenue on top of CRE’s core business.
Translate understanding of Ipsos’ Creative Excellence business into new solutions with global and US product teams, consistently delivering accurate responses using ML, Gen AI, and survey methods.
Drive transformation of Ipsos’s business model through the strategic use of synthetic data, enhance insight generation, and enable advanced market simulations.
Support innovative product development and new revenue streams, maximizing value from data assets.
Help translate stakeholder business and research questions into robust analytical workflows aligned with Ipsos’ methodologies and AI governance.
Present modelling results, feature impacts, and recommendations in clear, non‑technical language to CRE stakeholders.
Collaborate with business‑facing teams to frame and refine client questions, ensuring feasibility and methodological rigor.
Contribute to internal training, playbooks, and knowledge sharing on our core AI solution.
Support client‑facing presentations or proposals with concise, well‑structured analytical inputs when relevant.
Skills & Qualifications Education
Master’s degree (or equivalent) in Data Science, Statistics, Applied Mathematics, Computer Science, Econometrics, or a related quantitative field.
PhD is a plus but not required.
Experience
7–10 years of professional experience as a Data Scientist in applied machine learning.
Hands‑on experience building and evaluating supervised learning models (regression/classification) in real‑world use cases.
Experience in product management or technical lead roles is a plus.
Experience in at least one of the following:
Marketing, advertising, media, or market research;
Predictive modelling on survey, panel, or customer behaviour data.
Prior exposure to production or near‑production environments (e.g., models that are deployed, monitored, and iterated).
Technical Skills
Computer Vision, Gen AI, and NLP expertise.
Strong proficiency in Python and core data & ML libraries (pandas, NumPy, scikit‑learn; optionally TensorFlow, PyTorch, CatBoost, XGBoost).
Good working knowledge of SQL and experience querying large analytical datasets (e.g., BigQuery).
Demonstrated understanding of core ML concepts: feature engineering, regularization, model selection, cross‑validation, evaluation metrics, bias, overfitting, drift, and robustness.
Experience with NLP or Computer Vision applied to creative content (scripts, storyboards, video/image/audio).
Experience with cloud platforms, ideally Google Cloud Platform.
Experience with experiment tracking and MLOps tools (MLflow, model registries, CI/CD for ML).
Strong analytical and problem‑solving skills with attention to detail and methodological rigor.
Ability to translate business and research problems into concrete analytical approaches.
Comfortable working in cross‑functional teams (data science, engineering, research, client service).
Curious, pragmatic, and eager to learn from both technical and non‑technical colleagues.
Able to work autonomously on well‑defined workstreams while seeking feedback when needed.
Excellent communication skills.
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 $110,000 to $140,000. 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 (generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.
Benefits To learn more about all the great reasons to work at Ipsos, our benefits, and employee programs, please visit:
Why Work at Ipsos | US .
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 behaviours 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.
About Us Ipsos is one of the world’s largest research companies and is the only one primarily managed by researchers, ranking as the #1 full‑service research organization for four consecutive years. With over 75 different data‑driven solutions and a 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. We help some of the biggest companies solve their biggest problems, serving more than 5,000 clients globally.
About The Team The Creative Excellence Service Line helps our clients attain best‑in‑class advertising that drives business results. We do this by aiding Creative Development (help with creating advertising), Creative Assessment (help with assessing advertising and providing guidance to improve it), and Creative In‑Market (ad tracking once the advertising is launched).
#J-18808-Ljbffr