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Data Scientist Quantitative Analyst Jobs (NOW HIRING)

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning * Proficiency with tools such as ...

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

Quantitative Analyst II

Scottsdale, AZ ยท On-site

$70K - $75K/yr

Master's Degree in Economics, Statistics, Data Science, Computer Science, or a related field ... quantitative role * Solid proficiency in data analysis, querying, and working with large and ...

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

The job is for someone who analyzes big sets of data to help manage risks in financial markets ... Master's degree or equivalent experience in finance, economics, accounting, computer science, or ...

New

Quantitative Analyst II

Scottsdale, AZ ยท Hybrid

$70K - $75K/yr

Master's Degree in Economics, Statistics, Data Science, Computer Science, or a related field ... quantitative role * Solid proficiency in data analysis, querying, and working with large and ...

Quantitative Analyst II

Scottsdale, AZ ยท On-site

$70K - $75K/yr

Master's Degree in Economics, Statistics, Data Science, Computer Science, or a related field ... quantitative role * Solid proficiency in data analysis, querying, and working with large and ...

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

... Quantitative Analyst, Big Data Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering ...

The job is for someone who analyzes big sets of data to help manage risks in financial markets ... Master's degree or equivalent experience in finance, economics, accounting, computer science, or ...

New

Data Scientist

San Francisco, CA ยท On-site

$90.14 - $112.68/hr

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity ... Apply quantitative analysis and statistical modeling to uncover customer behavior and trends * Act ...

At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning * Proficiency with tools such as ...

Quantitative Analyst

Columbus, OH ยท On-site

$77K - $90K/yr

The Quantitative Analyst will manage and support high-impact research projects, primarily focusing ... Bachelor's degree in Statistics, Data Science, Economics, Math, Behavioral Science or related field ...

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Data Scientist Quantitative Analyst information

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$29.5K

$125.5K

$194.5K

How much do data scientist quantitative analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data scientist quantitative analyst in the United States is $125,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $154,500.00 per year, depending on experience, location, and employer.

What does a quantitative Data Scientist do?

A quantitative Data Scientist analyzes large datasets using statistical and mathematical models to identify patterns and inform decision-making. They often use programming languages like Python or R, and tools such as SQL and machine learning algorithms, to develop predictive models and optimize processes. Strong analytical skills and knowledge of finance, economics, or related fields are typically required.

Will AI replace Data Analyst?

AI can automate routine data analysis tasks, but Data Analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role is evolving to include skills in machine learning tools and programming languages like Python or R, but human judgment remains essential for nuanced analysis and business context. Therefore, AI is more likely to augment than fully replace Data Analysts.

How much do quant data scientists make?

Quantitative data scientists typically earn between $100,000 and $200,000 annually, with experienced professionals and those in financial hubs earning higher salaries. Compensation often includes bonuses and stock options, especially in finance and hedge fund environments, and requires strong skills in programming, statistics, and financial modeling.

Is 40 too late for data science?

Data scientists and quantitative analysts can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R, and building a strong portfolio. Age is less a barrier than demonstrated expertise and adaptability in this rapidly evolving field.

What is a Data Scientist Quantitative Analyst job?

A Data Scientist Quantitative Analyst combines data science and quantitative analysis to extract insights from large datasets, build predictive models, and support data-driven decision-making. They use statistical methods, machine learning, and programming skills to analyze financial markets, business performance, or customer behavior. Typically, they work in finance, tech, or consulting industries to solve complex problems and optimize strategies.

What are the typical day-to-day responsibilities of a Data Scientist Quantitative Analyst?

On a daily basis, a Data Scientist Quantitative Analyst manages and analyzes large datasets, develops predictive models, and interprets quantitative results to provide actionable insights for their organization. This role often involves collaborating with product managers, engineers, and business stakeholders to define project goals, design analytical approaches, and present findings in a clear, impactful manner. You may also be expected to automate data processes, maintain documentation, and stay updated on the latest analytical and industry trends. The work is dynamic and requires a balance of independent research and team-based problem solving.

What are the key skills and qualifications needed to thrive in the Data Scientist Quantitative Analyst position, and why are they important?

To thrive as a Data Scientist Quantitative Analyst, you need a solid background in statistics, data analysis, machine learning, and programming (often in Python or R), typically supported by an advanced degree in a quantitative field. Experience with data visualization tools, statistical modeling platforms, and database systems, as well as familiarity with industry certifications such as CFA or related analytics credentials, are highly valued. Strong problem-solving, critical thinking, and effective communication skills help professionals present complex findings and work collaboratively across departments. These abilities are crucial for transforming data into actionable business insights and supporting strategic decision-making.

More about Data Scientist Quantitative Analyst jobs
What cities are hiring for Data Scientist Quantitative Analyst jobs? Cities with the most Data Scientist Quantitative Analyst job openings:
What are the most commonly searched types of Data Scientist Quantitative Analyst jobs? The most popular types of Data Scientist Quantitative Analyst jobs are:
What job categories do people searching Data Scientist Quantitative Analyst jobs look for? The top searched job categories for Data Scientist Quantitative Analyst jobs are:
Infographic showing various Data Scientist Quantitative Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $125,500 per year, or $60.3 per hour.
Data Scientist

Data Scientist

Cymertek

San Antonio, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Data Scientist
LOCATION
San Antonio, TX 78208
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
Are you passionate about uncovering insights from complex data and driving data-informed decision-making? We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing, modeling, and transforming data into actionable solutions. In this position, you will collaborate with cross-functional teams, leverage advanced analytics techniques, and apply innovative tools to solve challenging problems. If you excel at blending technical expertise with creative thinking to deliver impactful results, we'd love to have you on our team!
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist, Quantitative Analyst, Big Data Specialist, etc.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Analyze and interpret complex data
  • Develop predictive models
  • Communicate data findings clearly
  • Design and implement algorithms
  • Ensure data quality and integrity
  • Collaborate with cross-functional teams

REQUIRED SKILLS
  • Proficiency in data manipulation tools (e.g., Python, R)
  • Experience with machine learning techniques
  • Strong statistical analysis skills
  • Knowledge of data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with big data technologies (e.g., Hadoop, Spark)
  • Experience with data cleaning and preprocessing

DESIRED SKILLS
  • Experience with cloud platforms (e.g., AWS, GCP)
  • Knowledge of deep learning techniques
  • Expertise in natural language processing (NLP)
  • Understanding of database management systems
  • Experience in deploying models to production
  • Strong problem-solving and critical thinking abilities

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.