Quantitative Analyst (Master’s in Applied Math/Statistics) – Paid Media Optimization

Chicago, IL (Hybrid)

Salary Not AvailableMid Level1+ years expFull time

Posted 2 months ago

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Job Summary

Drive client paid media strategy using PSAI AI tools across Google Ads, Facebook, and other key platforms while aligning campaigns with business goals.

  • Own development of media buying strategies and ensure campaigns meet client objectives.
  • Must-have: Master’s degree in a quantitative field (or in progress).
  • Standout: Collaborate with AI product and analytics teams to boost data-driven optimization.

Job Description

Responsibilities

  • Leverage PSAI’s AI-powered software to build smarter, more efficient paid media campaigns across Google Ads, Facebook, and other key platforms.
  • Tailor strategies for clients to ensure their campaigns align with their business goals and deliver the maximum possible impact.
  • Lead the development of media buying strategies, ensuring they are cost-effective, efficient, and aligned with client objectives.
  • Ensure that all campaigns are strategically aligned, set up for success, and optimized to achieve the highest possible performance for clients.
  • Act as a strategic advisor for your clients, providing expert insights on best practices for paid media, creative strategies, and performance optimization.
  • Work closely with clients to understand their business goals and tailor paid media strategies to meet those objectives.
  • Educate clients on the effective use of PSAI software and advertising platforms to help them navigate their digital marketing journey.
  • Build strong, long-term relationships with clients, becoming a trusted advisor and ensuring client satisfaction through continued optimization and growth.
  • Collaborate with our AI product and analytics teams to ensure advertising campaigns are continuously learning and improving from the data.
  • Continuously analyze key performance indicators (KPIs), such as CTR (Click-Through Rate), CPC (Cost Per Click), ROI, conversion rates, and other important metrics across multiple paid media channels.

Requirements

  • Master’s degree completed or in progress in: Applied Mathematics, Statistics, Data Science, Quantitative Methods, Operations Research, or related field
  • Strong analytical foundation in topics like: Statistical inference, regression, forecasting, optimization, experimental design, or modeling
  • Ability to work with performance data and communicate insights clearly (technical and non-technical audiences)
  • Highly organized, detail-oriented, and comfortable managing multiple workstreams
  • Interest in AI tools, automation, and data-driven decision systems
  • Familiarity with Google Analytics, Ads Manager platforms, and reporting workflows
  • Working knowledge of Python or R (helpful for analysis, not required)

Preferred

  • 1–3 years experience in paid media / PPC / performance marketing (Google Ads, Meta Ads, etc.)

Benefits

  • Innovative Environment: Be part of a forward-thinking company that values creativity and encourages the exploration of new ideas.
  • Professional Growth: Access opportunities for continuous learning and career advancement within a supportive and dynamic team.
  • Comprehensive Benefits: Enjoy a competitive salary, performance-based bonuses, flexible work arrangements, and a robust benefits package.
  • Collaborative Culture: Work in a team-oriented environment where collaboration and mutual respect drive our success.

Predictive Sales AI a Spectrum Communications & Consulting LLC Brand

With proven success across many industries over 30 years, we have accumulated the blueprint to scaling your home services business. Growth requires leads and our machine learning technology gives you the ability to be in control of your lead generation

Founded in 1992
Boca Raton, Florida, USA
72 employees (25 in marketing)

Traffic Signals

Monthly Visitors
16.9K
Traffic Source Mix
Search
20.4%
Direct
59.1%
Referral
12.2%
Social
7.6%
Paid
0.6%

Headcount Trend

Current headcount: ~72

Marketing Team

Marketing Team Size
23 (32% of company)