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Cost Optimization Jobs (NOW HIRING)

US Mobile

Data Scientist (Cost Optimization)

New York, NY · On-site

$140K - $190K/yr

Data Scientist, Cost Optimization** to own the unit economics of our network costs. You'll build the models and optimizations that decide the most cost-efficient configuration for every line on our ...

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How much do cost optimization jobs pay per year?

As of Sep 6, 2026, the average yearly pay for cost optimization in the United States is $97,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $114,000.00 per year, depending on experience, location, and employer.

What is a cost optimization?

A Cost Optimization job focuses on analyzing and improving a company's spending to maximize efficiency and reduce waste. Professionals in this role assess business operations, procurement, and financial strategies to identify cost-saving opportunities. They work closely with various departments to implement best practices, streamline processes, and negotiate better terms with suppliers. The goal is to ensure that resources are allocated effectively while maintaining quality and performance.

What does a cost optimization professional do?

A Cost Optimization professional typically spends their day analyzing spending patterns, evaluating operational processes, and identifying areas for efficiency improvement across departments. They collaborate closely with teams in finance, procurement, and operations to implement cost-saving strategies and monitor progress. The role often includes preparing reports, presenting findings to management, and ensuring cost reduction initiatives align with company goals. This dynamic position offers the opportunity to make a significant impact on the organization's financial performance while working in a collaborative, results-driven environment.

What are the key skills and qualifications needed to thrive in cost optimization?

To thrive in Cost Optimization, you need strong analytical skills, business acumen, and a background in finance, operations, or supply chain management. Familiarity with data analysis tools such as Excel, SQL, ERP systems, and certifications like Six Sigma or Lean Management are often valuable. Attention to detail, effective communication, and problem-solving abilities help professionals stand out in this role. These skills are crucial for identifying savings opportunities, collaborating with stakeholders, and implementing sustainable cost-saving initiatives.

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Cost Optimization jobs near you
Infographic showing various Cost Optimization job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $97,048 per year, or $46.7 per hour.

Data Scientist (Cost Optimization)

US Mobile

New York, NY • On-site

$140K - $190K/yr

Full-time

Posted 18 days ago

Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We're getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It's working - we're The Wirecutter's favorite cellular carrier, and Consumer Reports has named us the top-rated mobile carrier two years in a row.*
And we're building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn't for everyone. If you work fast, flexibly, and collaboratively - without compromising standards - we want to hear from you.
We're looking for a **Data Scientist, Cost Optimization** to own the unit economics of our network costs. You'll build the models and optimizations that decide the most cost-efficient configuration for every line on our networks, validate those models against real financial data, and turn your analysis into decisions the business acts on. This is decision science more than machine learning - and business judgment matters as much as the math.
Responsibilities:
  • Build and run the cost models and optimizations that determine the most efficient plan configuration across our subscriber base.
  • Validate cost models against carrier invoices and financial data; investigate and resolve discrepancies.
  • Monitor, forecast, and manage pooled usage and network spend, recommending corrective actions with quantified impact.
  • Model pricing and contract scenarios on actual usage data to support commercial decision-making.
  • Move recommendations into production through automated, auditable workflows, and verify outcomes.
  • Design, build, and maintain the underlying data models using dbt, Redshift, and related tools.
  • Use AI tooling to accelerate modeling, analysis, SQL/dbt work, and documentation.

Requirements:
  • 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics - ideally where your recommendations carried real financial impact.
  • Hands-on experience formulating and solving optimization problems (linear programming, cost modeling, marginal-cost analysis, or similar) that informed real business decisions.
  • Strong business judgment, with experience owning a commercial or cost recommendation end-to-end.
  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.
  • Proficiency in Python.
  • Experience validating analytical models against external financial data (invoices, bills, or settlements).
  • Demonstrated use of AI in your day-to-day workflow - LLM-assisted coding or prompt-driven data exploration.
  • Strong communication skills, with a bias toward clear recommendations and measurable business impact.

Nice to Have:
  • Telecom, MVNO, or other usage-based/wholesale cost domain experience; cloud cost management (FinOps).
  • Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar).

Benefits and Perks:
  • Competitive Salary
  • Gym reimbursement
  • Commute reimbursement
  • Flexible working hours
  • Professional development stipend
  • Flexible time off
  • Cell phone service (up to $100/mo)

$140,000 - $190,000 a year
Think you're a good fit? Apply here to learn more!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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