Decision Scientist - Marketing Science Research & Analytics - Retail Media

Pleasanton, CA (Hybrid)

$95K/yr – $124K/yrSenior Level4+ years expFull time

Posted 7 weeks ago

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Job Summary

Own high-value analytics that tie campaign inputs to ROAS and drive GTM data products for leadership decisions.

  • Own cross-functional analytics linking audience, creative, and placement to measurable outcomes.
  • Lead scalable data-solution delivery with engineering partners and craft client-ready use cases for internal stakeholders.
  • Synthesize stakeholder needs and coach teams through training to accelerate evidence-based decision making.

Job Description

Responsibilities

  • Identify high-value business problems and translate complex analyses into clear, actionable recommendations for business partners and senior leaders.
  • Design and execute advanced analytical approaches to measure campaign performance, enhance measurement methodologies, and analyze customer behavior trends.
  • Quantify relationships between campaign components (e.g., audience, creative, placement) and Return on Ad Spend (ROAS).
  • Lead the GTM delivery of scalable, insight-driven data solutions in partnership with cross-functional teams.
  • Partner with Engineering teams to improve data pipelines and reporting infrastructure.
  • Navigate ambiguity with confidence, synthesize stakeholder needs, and proactively define analytical approaches to legacy and emerging challenges.
  • Communicate analytical findings, lead training sessions, and develop client-ready use cases for internal stakeholders.

Requirements

  • Bachelor’s degree in Mathematics, Statistics, Engineering, or an equivalent STEM degree strongly preferred.
  • 4 plus years of experience in analytics, data science, or decision science roles.
  • Expert-level SQL proficiency and strong experience working with data warehouses (GCP preferred).
  • Advanced Python skills for analytical workflows, modeling, and data validation, with hands-on experience in Databricks environments and version control via GitHub.
  • Proven experience working with large, complex, and imperfect datasets.
  • Excellent communication skills with the ability to surface insights and integrate recommendations that influence strategic decisions.
  • Strong data visualization and storytelling skills using tools such as Power BI, ggplot, plotly, or similar.

Preferred

  • 2 plus years of experience in Advertising, Media, or Retail Media Analytics.
  • Experience designing experiments or causal inference frameworks.
  • Strategic mindset with the ability to independently define analyses and develop lightweight data products with minimal guidance.

Benefits

  • Competitive wages paid weekly
  • Access to up to 50% of your earned wages before payday, via our partnership with Stream
  • Associate discounts
  • Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!)
  • Time off (vacation, holidays, sick pay). For eligibility requirements please visit myACI Benefits
  • Leaders invested in your training, career growth and development
  • An inclusive work environment with talented colleagues who reflect the communities we serve

Albertsons Media Collective

Real people delivering real results at scale. Albertsons Media Collective is the next-generation retail media network rooted in connections, technology and innovation.We are a media partner who supports growth and builds relationships to help our partners engage our shoppers where it matters most. As the retail media arm for Albertsons Companies, the second-largest grocery chain in the United States, we serve consumers in more than 2,278 locations across 30 states. We believe in bringing people together around the joys of food and strengthening the communities we serve, one neighborhood at a time. Our local roots and rich history mean we have a special relationship with our customers. From the first bag of dog food or the first box of diapers to every fresh ingredient for holiday dinners, we're in the business of helping our neighbors make memories. By embracing relationships and leveraging our unique first-party data, we help brands connect with the right customers at the perfect moment and time. And we help customers find the perfect products in the moments that matter most. In doing that, we foster growth, one family at a time, neighborhood by neighborhood, and brand by brand. We're on a mission to transform retail media by delivering what you've told us you want to see in a Retail Media Network. We're connecting you to what matters, nurturing collaboration, and arming you with robust, real-time insights that pave the way for sustainable growth. Our trusted expertise, innovative technology and one-of-kind connections are setting the new standard for media excellence. It's a post-cookie world, and it's time for traditional retail media networks to change. So let's get growing together.

Founded in 2022
Boise, Idaho, USA
184 employees (67 in marketing)

Traffic Signals

Monthly Visitors
15.3K
Traffic Source Mix
Search
29.7%
Direct
54.1%
Referral
4.6%
Social
10.2%
Paid
1.3%

Headcount Trend

Current headcount: ~184

Marketing Team

Marketing Team Size
65 (35% of company)
Median Career Experience
13 years
Median Tenure
3.6 years
Marketing Roles Posted (Last 30 Days)
1