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Senior Data Scientist - MMM (marketing Mix Modelling)

Own the end-to-end design, development, and deployment of MMM models for the platform
Madrid
Senior
yesterday
NielsenIQ

NielsenIQ

Provides global consumer and retail measurement, analytics, and insights to help businesses understand markets, shoppers, and performance.

Senior Data Scientist - MMM (Marketing Mix Modelling)

As a Senior Data Scientist, Incubation Lab, you will be focused on designing, developing & scaling cutting-edge marketing analytics solutions to strategic client business problems. You will be joining an innovation & client first culture, where creative thinking and entrepreneurial spirit are championed, fostered, and harnessed into the next-gen features of our evolving marketing analytics platform. You will be responsible for designing and building high-performance models & ML/AI algorithms and ensuring the accuracy & reliability of our platform's insights.

Job Description

Design and develop advanced analytic solutions to cutting-edge client business problems in the world of marketing analytics, leveraging techniques across applied statistics, econometrics, machine learning, natural language processing, computer vision, and other AI disciplines

Deliver actionable insights & consultation to external clients leveraging developed solutions, models, & algorithms

Collaborate with product development stakeholders to integrate solutions into our marketing analytics platform, ensuring continued innovation-to-product pipeline

Continuously evaluate and refine models & algorithms to improve accuracy and efficiency

Serve as a primary L2 support resource for escalated issues, bugs, & blockers with deployed models & algorithms

Stay up to date with the latest advancements in marketing science, machine learning, and AI, and work with the Incubation Lab Lead to identify opportunities to apply them to our platform

Foster a culture of innovation and experimentation within the team by serving as a mentor & talent multiplier to peers and juniors on the team

Qualifications

6+ years of relevant experience in a data or decision science field

Master's degree or above in Statistics, Mathematics, Econometrics, Computer Science, or a related Data Science field

Strong theoretical and practical knowledge of statistical modeling, in both Frequentist and Bayesian frameworks

Strong theoretical and practical knowledge of ML/AI algorithms

Proficiency in programming languages such as Python, R, and SQL

Proficiency in working in code editors such as VSCode, RStudio, Jupyter Notebooks

Familiarity with product development tools & apps, namely: Jira, Confluence, Git

Desired Skillsets:

Previous experience in the marketing or advertising industry is a plus

Excellent problem-solving and analytical skills

Demonstrated leadership and communication skills

Strong sense of urgency and accountability to drive client outcomes

Able to work collaboratively with internal & external teams

Capable of maintaining positive client relationships in complex situations & resolving client issues

Strong logic, deductive reasoning, problem-solving, and critical thinking skills

Strong project management skills and ability to manage multiple priorities

If you're passionate about the next gen of marketing science and want to make a significant impact on the future of the marketing analytics industry, we encourage you to apply!

Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles.

NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.

For more information, visit NIQ.com

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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Senior Data Scientist - MMM (marketing Mix Modelling)
Madrid
Marketing
About NielsenIQ
Provides global consumer and retail measurement, analytics, and insights to help businesses understand markets, shoppers, and performance.