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Math Major Computer Science Minor Jobs in Kendall, FL

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline * Strong communication and collaboration skills ...

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline * Strong communication and collaboration skills ...

A bachelor's degree in computer science, information technology, mathematics or a related field is considered equivalent to 2 years' of relevant experience. * Experience in the service or ...

If you are also comfortable tutoring Math, that is a strong plus and can increase your schedule ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

If you are also comfortable tutoring Math, that is a strong plus and can increase your schedule ... Computer or laptop with microphone and camera. A stylus pen is highly recommended for clear ...

... computer science, statistics, mathematics, or a related quantitative field • Solid foundation in statistics and experimental design • Strong communication and collaboration skills -- you're ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

Showing results 41-60

Math Major Computer Science Minor information

See Kendall, FL salary details

$9

$24

$56

How much do math major computer science minor jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for math major computer science minor in Kendall, FL is $24.35, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $27.84 per hour, depending on experience, location, and employer.

What is a math major computer science minor?

A Math Major with a Computer Science Minor typically works in fields that require strong analytical and computational skills, such as data science, software development, finance, or applied mathematics. They use their mathematical background to solve complex problems and their computer science knowledge to implement algorithms or develop software solutions. Common roles include data analyst, software engineer, actuarial analyst, or quantitative researcher. Their unique skill set allows them to bridge the gap between theoretical math and practical computing applications.

What types of entry-level roles are available for candidates with a background as a math major and computer science minor?

Math Majors with a Computer Science Minor are frequently hired for entry-level positions such as data analyst, software engineer, quantitative analyst, research assistant, or business intelligence associate. In these roles, you may analyze data, write code, develop algorithms, or assist in software development projects, often as part of a collaborative, cross-functional team. This combination of skills opens doors to diverse industries including finance, technology, consulting, healthcare, and academia. As you gain experience, there are ample growth opportunities toward more specialized or senior positions such as data scientist, machine learning engineer, or quantitative researcher.

What are the key skills and qualifications needed to thrive in the math major computer science minor position, and why are they important?

A Math Major with a Computer Science Minor should have strong analytical, mathematical, and programming abilities, often supported by a bachelor's degree in mathematics with coursework in algorithms, data structures, and statistical analysis. Familiarity with tools like Python, MATLAB, R, or SQL, and experience using version control systems such as Git, are commonly required in technical roles. Excellent problem-solving, attention to detail, and strong communication skills help individuals collaborate effectively and present technical findings clearly. These skills and qualifications are vital for solving complex problems, driving data-driven decision-making, and succeeding in interdisciplinary technical environments.

What can I do with a math major computer science minor degree?

A math major with a computer science minor prepares graduates for roles such as data analyst, software developer, or quantitative analyst. These positions often require strong problem-solving skills, programming knowledge in languages like Python or Java, and understanding of algorithms and data structures.

What can you do with a math major and computer science minor?

A math major with a computer science minor qualifies for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require strong problem-solving, programming skills, and knowledge of algorithms, with common tools including Python, Java, or SQL.

What jobs can I get with a math major computer science minor?

A math major with a computer science minor can pursue roles such as data analyst, software developer, quantitative analyst, or operations researcher. These positions often require strong analytical skills, programming knowledge in languages like Python or Java, and familiarity with data analysis tools or algorithms.

What cities near Kendall, FL are hiring for Math Major Computer Science Minor jobs?

Cities near Kendall, FL with the most Math Major Computer Science Minor job openings:

Infographic showing various Math Major Computer Science Minor job openings in Kendall, FL as of August 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 100% In-person job distribution, with an average salary of $50,644 per year, or $24.3 per hour.

Applied Scientist- Pricing

Miami, FL • On-site

$156K - $335K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role
We're looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.
This role will contribute to our broader valuation and pricing ecosystem and we're looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.
You'll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.
We're a small, nimble team, so there's ample opportunity to shape both the modeling direction and how these systems get used in production decision-making.
What You'll Need
  • Experience developing quantitative models to support real-world decision-making under uncertainty
  • Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
  • Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
  • Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
  • Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
  • Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have
  • Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
  • Background in real estate, housing, finance, or adjacent marketplace domains
  • Familiarity with distributed data processing tools such as Pyspark
  • Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
  • Experience working with large language models (LLMs) or vision-language models (VLMs)

What You'll Do
  • Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
  • Develop demand and conversion models using both pre-listing and post-listing signals
  • Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
  • Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
  • Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
  • Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
  • Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component

Compensation
The base pay range for this position is $156,800-$335,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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