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$36.4K

$88.7K

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How much do operations research phd jobs pay per year?

As of Aug 15, 2026, the average yearly pay for operations research phd in Boca Raton, FL is $88,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $109,300.00 per year, depending on experience, location, and employer.

What is an operations research PhD?

Operations Research PhDs are experts who have completed a doctoral program focused on advanced analytical methods to help make better decisions and solve complex problems. Their studies involve mathematics, statistics, computer science, and engineering principles to develop models and algorithms used in industries such as logistics, finance, healthcare, and manufacturing. With a PhD, they often pursue careers in academia, industry research, or consulting, applying their expertise to optimize systems and processes.

What are some common challenges faced by operations research PhDs when transitioning from academia to industry roles?

One common challenge for Operations Research PhDs moving into industry is adapting to the faster-paced environment where solutions often need to be practical and implemented quickly, rather than purely theoretically optimal. Additionally, communicating complex analytical methods to non-technical stakeholders and working within cross-functional teams requires strong collaboration and interpersonal skills. Industry roles may also demand proficiency with industry-specific tools and the ability to manage multiple projects with shifting priorities. Embracing these challenges can accelerate professional growth and lead to rewarding career advancement.

What are the key skills and qualifications needed to thrive as an operations research PhD?

To thrive as an Operations Research PhD, you need advanced analytical skills, a strong foundation in mathematics and statistics, and a doctoral degree in operations research or a related quantitative field. Expertise with optimization software (like CPLEX or Gurobi), programming languages (such as Python, R, or MATLAB), and familiarity with data analysis tools are typically required. Strong problem-solving abilities, effective communication, and the ability to work collaboratively distinguish top performers in this role. These skills enable professionals to develop data-driven solutions to complex business problems and communicate insights to stakeholders, driving organizational efficiency and innovation.

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Cities near Boca Raton, FL with the most Operations Research Phd job openings:

Operations Research Phd jobs near you
Infographic showing various Operations Research Phd job openings in Boca Raton, FL as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $88,749 per year, or $42.7 per hour.

Senior Data Scientist

Haystack News

Fort Lauderdale, FL • Remote

Full-time

Re-posted 4 hours ago

Job description

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

MINIMUM QUALIFICATIONS

  • PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field

  • 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).

  • Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.

  • Proficiency in causal inference methods to measure product impact.

  • Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.

  • Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.

  • Strong experience with SQL (e.g. postgres, snowflake, etc).

PREFERRED QUALIFICATIONS:

  • Experience working on consumer-facing products with millions of users.

  • Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).

  • Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.

  • Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

RESPONSIBILITIES

  • Build statistical and machine learning models to improve content discovery and user engagement.

  • Work closely with ML engineers to translate models and insights into production systems.

  • Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.

  • Apply causal inference methods to understand the impact of potential product changes.

  • Define and build new ML features using text and multimodal embeddings and GenAI.

  • Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.