Senior Data Scientist
Publicis Groupe
New York, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 142KJob location
New York, United States of America
Tech stack
Midjourney
Amazon Web Services (AWS)
Data Mining
Linux
Distributed Systems
R
Hadoop
Statistical Hypothesis Testing
Python
Machine Learning
SQL Databases
Real Time Systems
Spark
Generative AI
Information Technology
GPT
Data Pipelines
Unsupervised Learning
Job description
- Translating and reframing marketing and business questions into analytical plans.
- Using distributed computing systems to ingest, access and integrate disparate big data sources.
- Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.
- Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
- Building and testing scalable data pipelines or models for real-time applications.
- Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
- Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
- 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 3+ years professional experience in a data science or analytics role, which typically includes:
- A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
- Hands-on experience mining data for decision-focused insights.
- Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
- Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
- Demonstrated interest in 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.