Data Scientist

Data Scientist

Company details

Description of the offer

Prescient is the measurement industry’s new standard, a next-generation marketing intelligence platform built for modern brands. We help performance marketers, brand leaders, and data teams make faster, smarter media decisions by combining the statistical rigor of marketing mix modeling (MMM) with the speed, usability, and precision required to succeed in today’s dynamic media landscape.

Built by a team of creative math nerds, engineers, and marketing veterans, Prescient replaces outdated MMM and black-box attribution with OMEN: a radically better way to measure media performance.

We’re backed by world-class investors, trusted by forward-thinking consumer brands, and led by a team of marketing, data science, and technology veterans who believe better media performance starts with better decision-making.

About the Role

As a founding member of the data science team, you’ll be responsible for developing and delivering product analytics insights, building and enhancing machine learning models, addressing technical debt, and collaborating with cross functional teams to improve our product. This is a hands-on role where you’ll work across the full data science lifestyle, from data exploration to production model deployment.

What You’ll Do

Contribute to our codebase with product innovation and utility functions, ensuring continuous improvement of our data science processes
Lead quality assurance efforts to ensure high quality data flows into our machine learning models
Collaborate with Customer Success and Product teams to gain insights into user needs and provide educational support regarding data-driven solutions.
Solve modeling-related issues, tackle bug, and address technical debt within our machine learning infrastructure
Work autonomously in a smaller team environment, handling end-to-end project responsibilities
Follow and adhere to group’s standards such as SLAs, code styles, and development processes
Assist the team in monitoring pipeline health via observability tools and metrics
Participate in refactoring efforts as platform application needs evolve over time

What You Bring

Bachelor’s degree or higher in Data Science, Statistics, Mathematics or other hard sciences
>1-2 years of experience in a Data Science industry role or an advanced degree from an appropriate field

Tech Stack Requirements

• Must have experience in Python coding, SQL, data visualization tools, and (preferred) some experience with Pandas
• Experience building ML applications and interpreting associating output, including use of regression-based methods
• Exposure to working cross-functionally with other teams such as Product, Consumer Success, and/or Data Engineering
• Comfort with an array of statistical concepts and methods; (nice to have) experience with Bayesian reasoning and/or causal inference

Why Prescient

Work at the forefront of marketing science, data, and decision intelligence
Join a kind, ambitious, and expert-led team shaping a category
Meaningful ownership, high visibility, and the chance to grow with the company
Competitive salary, equity, benefits, and flexible remote work culture

Additional Perks:

• Health Insurance 100% covered (including family)
• 401k plan with company match
• Generous parental and paw-ternity leave
• $100 monthly wellness stipend

Location of employment

How to apply?