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.

Requirements

• 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. Familiarity with Linux and/or Spark preferred.
• Demonstrated interest in marketing analytical applications.
• Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
• Familiarity with prompt-based interaction and commonly used generative AI tools is a plus.

Preferred

• Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus.

Benefits

• medical coverage
• dental
• vision
• disability
• 401K
• parental and family care leave
• family forming assistance
• tuition reimbursement
• flexible time off