Company Description
Read this first: If you have what it takes for this job, but don't meet all the criteria within the job description, we encourage you to apply. We'd like to connect with you to see what skills and experience you could bring to our team.
Publicis Media is one of Publicis Groupe’s four solution hubs, aligning all of Publicis Groupe’s media agencies and operations. Publicis Groupe (Euronext Paris Exchange: FR0000130577; CAC 40 index), is the world’s third largest communications group. The Data, Technology and Innovation Global Practice was created to deliver best-in-class programmatic solutions as well as to consolidate Publicis Media’s data and technology to transform our business from a service business to a platform business.
Job Description
Publicis Media is seeking a talented and motivated Junior Data Scientist to join our dynamic team. As a Junior Data Scientist, you will work closely with agency teams to onboard and analyze data, provide valuable insights, and contribute to the development of data-driven solutions. In addition, the role will develop and troubleshoot the engine of the application. This role offers an excellent opportunity for professional growth and learning in a fast-paced agency environment.
Core Responsibilities:
- Utilize Python programming skills to extract, transform, and troubleshoot script implementation.
- Deploy application containers to AWS
- Expert in different types of regressions (e.g. OLS, elastic net, random effects, Bayesian)
- Apply solid statistical background to design and implement modeling methodologies.
- Collaborate with clients to understand their data needs and requirements, and assist in the onboarding process.
- Work in an agency-facing role, interacting directly with teams to understand their objectives and deliver impactful solutions.
- Apply medium-level knowledge of Marketing Mix Model to perform modeling and analysis
- Troubleshoot and address teams’ operational challenges, ensuring proper functionality and accurate results.
- Contribute to the development and enhancement of data-driven solutions, leveraging your expertise to improve processes and methodologies.
- Stay updated with industry trends and advancements in data science, identifying opportunities to leverage new tools and techniques.
- Performs other duties as assigned or requested based on the needs of the team and business.
Qualifications
- 2 to 4 years of practical experience in Python programming, including data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong statistical background with knowledge of statistical modeling techniques, hypothesis testing, and experimental design.
- Familiarity with marketing analytics and advertising measurement, ideally including marketing mix modeling and attribution models.
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Mathematics, or a related discipline).
- Demonstrated experience working with teams in a professional setting, showcasing excellent communication and interpersonal skills.
- Ability to troubleshoot and resolve operational challenges.
- Strong problem-solving skills with the ability to analyze complex data sets and derive actionable insights.
- Proactive attitude with a keen interest in staying updated with the latest advancements in data science and analytics.
- Familiarity with cloud computing platforms (e.g., AWS) is a plus.
Additional Information
Compensation Range: $70,000 - $105,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.
All your information will be kept confidential according to EEO guidelines.
REQ # 23-6172