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Digitas North America · 1 day ago

Senior Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$89K/yr - $142K/yr

3+ years exp

Digitas North America is a Networked Experience Agency focused on creating magnetic experiences for brands. As a Senior Data Scientist, you will solve complex marketing and business challenges by building predictive models and analyzing diverse data sources to optimize customer experiences and business strategies.

Marketing & Advertising

Responsibilities

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

Qualification

Machine LearningData MiningPythonSQLHadoopAWSStatistical AnalysisLinuxSparkGenerative AI ToolsAnalytical Skills

Required

3+ years professional experience in a data science or analytics role

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

Demonstrated interest in marketing analytical applications

Demonstrated self-starter who thrives in a fast-paced environment with flat structure

Preferred

Familiarity with Linux and/or Spark

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