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Data Science Phd Jobs in Missouri (NOW HIRING)

Staff Data Scientist

California, MO ยท On-site

$150 - $200/hr

You have a Masters degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering or a related quantitative field * You have direct experience in deriving insights from ...

New

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Principal, Data Scientist

Cassville, MO ยท On-site

$110K - $220K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Principal, Data Scientist

Noel, MO ยท On-site

$110K - $220K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Principal, Data Scientist

Anderson, MO ยท On-site

$110K - $220K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Distinguished, Data Scientist

Noel, MO ยท On-site

$130K - $260K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Senior, Data Scientist

Cassville, MO ยท On-site

$90K - $180K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

(USA) Senior, Data Scientist

Noel, MO ยท On-site

$90K - $180K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

(USA) Senior, Data Scientist

Anderson, MO ยท On-site

$90K - $180K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Data Scientist

California, MO ยท On-site

$100 - $125/hr

MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields * Experience building production ML models deployed in real-world systems * Experience with geospatial ...

Showing results 21-40

Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

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

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What cities in Missouri are hiring for Data Science Phd jobs?

Cities in Missouri with the most Data Science Phd job openings:

Infographic showing various Data Science Phd job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Staff Data Scientist

1 DexCom Inc

California, MO โ€ข On-site

$150 - $200/hr

Other

Posted yesterday

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Job description

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team:

The product development analytics team collaborate with various design teams, including firmware, hardware, algorithm, sensor/membrane, and mechanical engineers to quantify and model the factors that influence product performance and reliability of on-market health sensing platforms.

Where you come in:
  • You will leverage large-scale bench, clinical, manufacturing, and real-world data to identify key drivers of product performance, reliability, and user experience
  • You enjoy learning and improving in a fast-paced environment
  • You enjoy the challenge of adapting and growing along with the quickly changing medical device and technology field
  • You rise to the challenge of finding new ways to improve upon existing methods
  • You like to work in close collaboration with team partners such as product owners, project managers, designers and other team members
  • You will design and build scalable analytical tools, dashboards, and data workflows that enable teams to efficiently visualize, and understand product behavior.
  • You will develop models, machine learning solutions, and advanced analytical methods to generate actionable insights that influence product development and business decisions
  • You will lead exploratory initiatives to evaluate new hypotheses, identify emerging opportunities, and improve existing methodologies.
  • You will provide technical leadership in data science and analytics, influencing study design, success metrics, and analytical strategy for key development programs.
What makes you successful:
  • You have proven industry experience applying data science, statistics, or machine learning to solve complex product, technology, or business problems
  • You have a Masters degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering or a related quantitative field
  • You have direct experience in deriving insights from health sensing time series data using statistical modeling, machine learning, or other analytical methods
  • You have excellent communication and presentation skills and are comfortable distilling complex technical information with varying internal and external stakeholders
  • You have advanced knowledge of SQL and statistical programming languages (e.g. Python, R, MATLAB).
  • You have direct experience handling and querying datasets and databases of various sizes and degrees of cleanliness
  • You have a deep understanding of statistical inference, experimental design, predictive modeling, uncertainty quantification, and data visualization.
  • You can independently manage and consult with stakeholders in complex projects to define success criteria and timelines
  • You have a proven track record of influencing decisions and driving measurable impact through data-driven recommendations
What youโ€™ll get:
  • A front row seat to life changing CGM technology.
  • Learn about our brave #dexcomwarriors community.
  • A full and comprehensive benefits program.
  • Growth opportunities on a global scale.
  • Access to career development through in-house learning programs and/or qualified tuition reimbursement.
  • An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
  • Travel Required: 0-5%
Experience and Education Requirements:

Typically requires a Bachelorโ€™s degree in a technical discipline, and a minimum of 8-12 years related experience or Masterโ€™s degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience.

Remote Workplace:

Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.

Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Dexcomโ€™s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.

AI in Hiring Notice: We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people.

Salary: $141,800.00 - $236,400.00 #DexcomUS

Since 1999, Dexcom has simplified and revolutionized diabetes management, positively impacting millions worldwide. At Dexcom, we're more than just a medical device company; we're a collective of visionary thinkers, trailblazers, and problem solvers. Our mission transcends the ordinary. We aim to revolutionize healthcare, one groundbreaking technology at a time.

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