Senior Data Scientist- Incubation Lab

Overview

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.

Responsibilities

• 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!

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: https://www.nielseniq.com/global/en/ai-safety-policies.

#J-18808-Ljbffr