Data Science Consultant

career • Mountain View, CA

6d • Onsite

About The Position

DeepLearning.AI is seeking a short-term Data Science Consultant to work directly with their COO and business unit leaders. The company has a significant amount of data from various sources (learning platform, Stripe, HubSpot, PostHog, customer.io, website analytics, NPS surveys) and a strong engineering capacity. The consultant will be responsible for building a robust analytical layer to translate business questions into metrics, analyze data, and establish a clean, durable data foundation. This role requires generating value quickly and iteratively building the architecture against real business questions.

Requirements

• 3+ years of experience as a data scientist.
• Strong analytical instinct.
• Ability to translate ambiguous business questions into well-defined metrics.
• Judgment to know which questions are worth answering.
• AI-native builder, leveraging latest tools and AI-assisted coding.
• Hands-on with SQL and Python.
• Comfortable doing real EDA.
• Enough engineering chops to collaborate with data eng team and make sound calls about data modeling, naming, and transformation layer design.
• Comfortable asking questions, making suggestions and pushing back in executive meetings.
• Practical bias - natural tendency to close projects and answer questions iteratively.

Nice To Haves

• Familiarity with platforms and data sources such as Stripe, HubSpot, PostHog, customer.io, Google Analytics.

Responsibilities

• Partner and work closely with the COO and data team on data analysis and modeling.
• Translate ambiguous business questions into well-defined metrics.
• Perform Exploratory Data Analysis (EDA) to answer business questions, including the 'why' behind them.
• Ship dashboards or analyses for stakeholders.
• Build out data models, naming conventions, and pipeline pieces to support metrics durably.
• Collaborate with the data engineering team on data modeling, naming, and transformation layer design.
• Ask questions, make suggestions, and push back in executive meetings.
• Iteratively answer questions and close projects.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed