Data Scientist

PUBLICIS GROUPE-posted about 2 months ago
Full-time • Entry Level
Southfield, MI
5,001-10,000 employees
Professional, Scientific, and Technical Services
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

Part of the overall Analytics Group, the Data Science team is responsible for all data modeling, algorithm development, and creating machine learning and AI models. They develop techniques such as regression, classification, clustering, natural language processing (NLP), and more. Additionally, they focus on marketing analytics, using advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness. ● Core Responsibilities: Data Modeling, Feature Engineering, Sentiment Analysis, Propensity Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc. ● Primary Tools: Databricks, Azure Synapse, Alteryx, Python, SQL As a Data Scientist, you will leverage your strong technical skills and experience to develop data science and AI solutions. This role requires a deep understanding of data science and machine learning techniques and the ability to collaborate with various teams to ensure data quality and actionable insights. Specifically, the Data Scientist will:

  • Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects.
  • Work closely with cross-functional teams, including analysts, product managers, and domain experts, to understand business requirements, formulate problem statements, and deliver relevant data science solutions.
  • Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources.
  • Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems.
  • Own and manage complex ETL pipelines to clean, preprocess, and transform large datasets.
  • Identify and engineer relevant features to enhance model performance and accuracy.
  • Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
  • Communicate findings and recommendations through comprehensive reports and engaging presentations.
  • Support wider agency initiatives.
  • Show up - be accountable, take responsibility, and get back up when you are down.
  • Make stuff.
  • Share so others can see what's happening.
  • Ensure the accuracy and reliability of data through rigorous QA processes.
  • Validate model outputs to ensure they meet business requirements.
  • Conduct unit tests and validation checks on data and models.
  • Perform A/B testing to evaluate model performance and impact.
  • Document all data analysis and modeling processes.
  • Maintain comprehensive records of data sources, methodologies, and results.
  • Ensure compliance with data governance and security policies.
  • A Bachelors'/Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field.
  • 1+ years of industry experience in a data science/data analysis/statistical analyst role.
  • Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL.
  • Familiarity with relational, SQL, and NoSQL databases.
  • Knowledge of scripting in SQL and Python using OOP concepts.
  • Experience with PowerBI or Tableau.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
  • Strong communication skills to effectively convey complex findings to non-technical stakeholders.
  • Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams.
  • Critical thinking to analyze data and derive meaningful insights.
  • Databricks experience is a big plus point.
  • Knowledge of statistical analysis tools such as R is a plus.
  • Experience in DevOps or MLOps is a plus.
  • Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus.
  • Experience in the marketing domain is preferred.
  • Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.
  • Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Data Scientist Resume Examples
•
Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service