Ipsos in US · 3 hours ago
Senior Data Scientist, Creative Excellence
New York, NY
Full-time
Hybrid
Mid, Senior Level
$110K/yr - $140K/yr
7+ years expIpsos is one of the world’s largest research companies, and they are seeking a Senior Data Scientist to support the development of Creative Spark AI, an AI-enabled capability for predicting and explaining ad performance. The role involves designing AI models, conducting experiments, and translating client needs into actionable insights.
Health CareMarket Research
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 of ad performance across distinct ad environments and verticals
Integrate new features into experimental models and quantify their impact on prediction accuracy, robustness, and interpretability, and summaries the uplift (or lack thereof) for CRE senior management decision-making
Document feature definitions, derivation logic, and performance impact for replicability
Design and execute experiments and benchmarks comparing different feature sets, algorithms, or model configurations (e.g. classical ML, deep learning, NLP / CV approaches)
Use appropriate evaluation metrics (e.g. accuracy, AUC, RMSE, calibration, stability across segments) and validation schemes (cross-validation, hold-out, time-based splits) to ensure 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
Act as an advocate for, and owner of, new products and solutions that grow incremental revenue on top of CRE’s core, traditional business
Develop an understanding of Ipsos’ Creative Excellence business and its evolution into new spaces
Translate this understanding into new solutions, along with global and US product teams, which answer client questions consistently, efficiently and accurately utilizing ML, Gen AI and survey methods
Drive the transformation of Ipsos ‘s business model through the strategies use of synthetic data
Enhance insight generation, augmenting traditional data methods, and enabling advanced market simulations
Support innovative product development, new revenue streams, and greater value from data assets
Help translate stakeholder business and research questions into robust, documented analytical workflows, aligned with Ipsos’ methodologies and AI governance
Present modelling results, feature impacts, and recommendations in a 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
When relevant, support client-facing presentations or proposals with concise, well-structured analytical inputs
Qualification
Required
Master's degree (or equivalent) in Data Science, Statistics, Applied Mathematics, Computer Science, Econometrics, or a related quantitative field
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
Prior exposure to production or near-production environments (e.g. working on models that are deployed, monitored, and iterated)
Computer Vision, GenAI and NLP
Strong proficiency in Python and the main data & ML libraries (e.g. pandas, NumPy, scikit-learn, plus optionally TensorFlow / PyTorch / CatBoost / XGBoost)
Good working knowledge of SQL and experience querying large analytical datasets (e.g. in BigQuery or similar cloud warehouses)
Demonstrated understanding of core ML concepts: Feature engineering, regularization, model selection, cross-validation, Evaluation metrics for regression / classification, Bias, overfitting, drift, and robustness issues
Strong analytical and problem-solving skills, with attention to detail and methodological rigor
Ability to understand business and research problems and translate them 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 clearly defined workstreams, while actively seeking feedback when needed
Excellent communication skills
Preferred
PhD is a plus but not required for this role
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, or Predictive modelling on survey, panel, or customer behavior data
Benefits
Generous PTO
Healthcare plans
Wellness benefits
Flexible workplace policy
Company
Ipsos in US
In our world of rapid change, the need for reliable information to make confident decisions has never been greater.
5001-10000 employees
H1B Sponsorship
Ipsos in US has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2022 (1)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2016-11-11Acquired
Leadership Team
Alice Wang
Chief Financial Officer
Jaime Mellen
COO - US Automotive & Mobility Development
Recent News
Canadian News Wire
2022-12-06
2022-05-22
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