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

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

Target Resume Now

About the Role

As a Senior Data Scientist, you will solve complex marketing and business challenges by accessing, integrating, manipulating, mining, and modeling a wide array of data sources. This involves optimizing cross-channel media, customer experience, segmentation, targeting, and business strategy.

Responsibilities

• Translate and reframe marketing and business questions into analytical plans.
• Use distributed computing systems to ingest, access, and integrate disparate big data sources.
• Conduct extensive exploratory analysis to identify relevant insights, useful transformations, and analytical applications.
• Apply quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
• Build and test scalable data pipelines or models for real-time applications.
• Summarize, visualize, communicate, and document analytic concepts, processes, and results for technical and non-technical audiences.
• Collaborate with internal and external stakeholders to establish clear analytical objectives, approaches, and timelines.
• Share knowledge, debate techniques, and conduct research to advance the collective knowledge and skills of the Data Science practice.

Requirements

• 3+ years of professional experience in a data science or analytics role.
• Hands-on experience mining data for decision-focused insights.
• Hands-on experience running common statistical or machine learning procedures.
• Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS.
• Demonstrated interest in marketing analytical applications.
• Demonstrated self-starter who thrives in a fast-paced environment with a flat structure.
• Familiarity with Linux and/or Spark is preferred.
• Familiarity with prompt-based interaction and commonly used generative AI tools is a plus.

Skills

• Python
• R
• SQL
• Hadoop
• AWS
• Statistical modeling
• Machine learning
• Exploratory data analysis
• Data visualization
• Communication
• Collaboration
• Linux
• Spark
• Generative AI tools

Experience Level

• Senior

Education Level

• Bachelor's degree in a quantitative field
• Master's degree in a quantitative field

Salary/Compensations

• USD $88,540.00 - USD $127,155.00/Annually

Benefits

• Medical coverage
• Dental
• Vision
• Disability
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off

About the Company

• Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks.
• We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities.
• Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce.
• Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
• The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

Equal Opportunity

• Digitas is an equal opportunity employer.
• Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger.
• It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization.
• We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
• All your information will be kept confidential according to EEO guidelines.