Lead Data Scientist
Publicis Groupe
New York, NY, United States
27 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$159,003.0 - $179,712.0
Working hours
Regular working hours
Job source
Tech stack
Midjourney
Artificial Intelligence
Amazon Web Services
Information Engineering
Data Mining
Linux
Distributed Systems
R (Programming Language)
Apache Hadoop
Statistical Hypothesis Testing
Python (Programming Language)
Machine Learning
+8 more
Open Source Technology
SQL Databases
Systems Integration
Apache Spark
Generative AI
GPT
Unsupervised Learning
Programming Languages
Job description
As a Lead Data Scientist, you are our internal expert. You’ll develop and implement multi-faceted solutions for complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-synthesizing just the right elements of our technical and analytical offerings.
- Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
- Providing Internal expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and open-source programming.
- Providing thought leadership and innovation in process, technique, and implementation.
- Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
- Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
- Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.
Requirements
We’re looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes:
- Robust domain expertise in areas of statistical methods, machine learning, AI, distributed computing, and/or open-source programming languages
- Experience integrating a variety of data sources, methods, and applications to achieve specific objectives
- Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation.
- Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
- Demonstrated ability to communicate complex technical concepts to non-technical audiences
- Demonstrated passion for marketing analytical applications
- Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
- Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.
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