Senior Marketing Decision Scientist II

SpaceX

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $201,000–$212,000 / yr
Posted: 7 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $206k

$125k most similar roles pay here $224k

This role pays more than 71% of similar roles. Most pay $135,000–$214,700 — the shaded band above. At the midpoint, this role pays about $206k versus about $175k for comparable roles.

Based on 239 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

Most-posted roles

View all roles at SpaceX

At a glance

TL;DR · Senior Marketing Decision Scientist II

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As a Senior Marketing Decision Scientist II at Instacart, you will join the Marketing Data Science and Analytics team to drive data-driven growth by measuring, forecasting, and optimizing marketing performance across various channels. You’ll collaborate with channel marketers, finance partners, and data engineers to deliver models and experimentation frameworks that inform multi-million-dollar decisions. Your responsibilities include owning complex measurement initiatives, designing experiments, building predictive models using SQL and Python/R, and creating executive-ready dashboards in Looker or Mode. With experience in marketing analytics and proficiency in SQL, Python/R, you will thrive in a fast-paced startup environment where analytical rigor is key.

Skills

SQL Python R Looker Mode Snowflake BigQuery Redshift Git Marketing Mix Models Bayesian approaches PyMC Stan Privacy-conscious measurement Analytics engineering dbt Airflow LTV forecasting Optimizely Feature flagging MLOps

What you'll do

Own end-to-end marketing measurement strategy across multiple channels.
Design and analyze experiments to quantify lift and inform decision-making.
Build predictive models using SQL, Python, or R for budget allocation.
Create executive-ready dashboards tracking KPIs and translating insights.
Partner with finance and marketing leadership on forecasting and planning.

What we're looking for

6+ years of experience in marketing analytics or data science.
Advanced proficiency in SQL and Python/R for data analysis.
Experience designing and analyzing marketing experiments.
Proven track record implementing marketing measurement approaches.
Ability to build business-facing dashboards using Looker, Tableau, Mode.
Bachelor’s degree in a quantitative field or equivalent experience.

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