Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Scientist 2, Client Analytics role.

Rezi rewrites your resume against Publicis Groupe Holdings B.V's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Scientist 2, Client Analytics posting at Publicis Groupe Holdings B.V — free, in seconds.

About the Role

The Data Scientist, II will support stakeholders by deploying projects from inception to insights, enabling business strategy and impact for clients. This role contributes towards automation, process improvement, and efficiency, demonstrating innovative thinking, passion, and cross-team collaboration. Establish strong working relationships with stakeholders.

Responsibilities

Deliver end-to-end Data Science projects including understanding business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, and explaining model results and insights.
Utilize AI, ML, and DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machines, neural networks, recommender systems, and attribution modeling to address business problems.
Improve existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters.
Provide requirements for developing analytical capabilities, platforms, and pipelines.
Present insights and recommendations to audiences of varying technical sophistication.
Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
Perform extraction, transformations, and loading from source systems and the data lake to analytics products using independently developed logic.
Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize core value-add functionality, enabling a multiplier effect experience within a collaborative team.
Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights.

Requirements

Master's or bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
2-4 years of experience as a Data Scientist deploying Data Science projects.
2+ years of coding skills in Python, PySpark, and SQL.
Deep understanding and hands-on experience with ML and DL Algorithms.
Good understanding of LLM, Gen AI, Databricks, and Cloud Systems (AWS or Azure).
Experience working with large datasets and developing scalable solutions.
Ability to work independently and deal with ambiguity.
Strong analytical and problem-solving skills.
Excellent presentation and communication skills.
Strong written and verbal communication skills.
Highly motivated and collaborative team player with strong interpersonal skills.
Must be work authorized in the United States on a full-time basis without the need for employer sponsorship now or in the future.

Skills

Python
PySpark
SQL
AI
ML
DL
Regression
Classification
Clustering
Tree-based algorithms
Support vector machine
Neural networks
Recommender system
Attribution modeling
LLM
Gen AI
Databricks
AWS
Azure
Data Science
Business Analytics
Quantitative analysis
Data analysis
Data processing
Feature engineering
Predictive modeling
Data visualization
Communication
Problem-solving

Location

Work Type

Flexible working arrangements
Work Your World' Program

Experience Level

2-4 years of experience as a Data Scientist
2+ years of coding skills

Education Level

Master's Degree in quantitative discipline
Bachelor's Degree in quantitative discipline

Salary/Compensations

USD $73,150.00 - USD $96,200.00/Annually

Benefits

Monetary assistance and support for Adoption, Surrogacy and Fertility
Monetary assistance and support for pet adoption
Employee Assistance Programs and Health/Wellness/Comfort reimbursements
Tuition Assistance
Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days
Matching Gifts programs
Medical coverage
Dental
Vision
Disability
401k
Medical and voluntary benefits for freelancers and temporary employees
Supplemental medical insurance
Transportation
Parking benefits
Legal benefits
Pet insurance
Auto and home insurance

About the Company

A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients.
The Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people.
Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing.
With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity.
We are an expanding network with more than 5,000 employees, with agency brands throughout our global offices.
The Automotive practice within Epsilon accelerates and drives growth for major players of the automotive industry, from Original Equipment Manufacturers (OEM) to Dealers big and small in the US and Canada.
Part of a 1,600-member global team, the practice offers the world’s largest automotive service reminder platform along with agency services and digital media solutions.
The Automotive Data Science team within Epsilon partner with both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making.
The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms.

Equal Opportunity

Publicis Digital Experience is an Equal Opportunity Employer.
Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.