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Data Science Phd Jobs in Missouri (NOW HIRING)

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site

Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar. * Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar. * Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

bioMérieux

Sr. Data Scientist

Hazelwood, MO · On-site

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO · On-site

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Masters or PhD preferred * Work Exerpience in ISO or FDA regulated environment preferred Knowledge ...

Nestle

Expert Data Scientist

Saint Louis, MO

$130K - $188K/yr

Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred * Experience partnering with Marketing, Sales, and Consumer Insights ...

Walmart

Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Master's degree or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, Data Science, or a related quantitative field. * 10+ years of experience in Data Science, Machine ...

Walmart

Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Master's degree or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, Data Science, or a related quantitative field. * 10+ years of experience in Data Science, Machine ...

Walmart

Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Master's degree or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, Data Science, or a related quantitative field. * 10+ years of experience in Data Science, Machine ...

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Data Science Phd information

What can you do with a doctorate in data science?

A doctorate in data science prepares individuals for advanced roles such as data scientist, research scientist, or machine learning engineer, often involving complex data analysis, modeling, and algorithm development. It enables expertise in programming languages like Python or R, statistical methods, and data management tools, opening opportunities in academia, industry, and research institutions.

What are the key skills and qualifications needed to thrive as a Data Science PhD, and why are they important?

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.

Is PhD worth it for data science?

A PhD in data science can enhance expertise in advanced analytics, research, and specialized skills, which may lead to higher-level roles and increased salary potential. However, it also requires significant time and financial investment, and many data science positions value practical experience and skills in programming, machine learning, and data manipulation over formal degrees.

What is the salary of a PhD in data scientist?

A Data Science PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Advanced degrees and expertise in machine learning, statistical analysis, and programming tools like Python or R can lead to higher compensation, especially in tech and research sectors.

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.

Is 40 too late for data science?

Data science PhDs can pursue careers at any age, including at 40 or older. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

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 popular job titles related to Data Science Phd jobs in Missouri? For Data Science Phd jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Science Phd jobs in Missouri look for? The top searched job categories for Data Science Phd jobs in Missouri are:
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Infographic showing various Data Science Phd job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science Advisor - Hybrid

Cigna

Saint Louis, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 237 frontline employees who took The Breakroom Quiz

27th of 890 rated healthcare providers

Job description

Join Evernorth Health Services' Enterprise Data Science team and help solve healthcare's most complex challenges. As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth. This role offers the opportunity to work on high-impact initiatives, partner with senior leaders, and shape the future of data-driven healthcare solutions.
Responsibilities
  • Lead the design and delivery of advanced data science solutions that align to business and clinical priorities.
  • Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive measurable outcomes.
  • Translate complex data into clear insights and recommendations for business and technical stakeholders.
  • Partner with cross-functional teams (IT, Clinical, Operations) to deliver end-to-end analytics solutions.
  • Apply advanced analytical methods including segmentation, regression, and time-series analysis to solve business problems.
  • Create scalable data pipelines and leverage big data technologies to support analytics initiatives.
  • Present findings to senior leaders to influence strategy and decision-making.
  • Provide thought leadership and mentor others on data science best practices and emerging technologies.

Required Qualifications
  • 5+ years of experience in data science, advanced analytics, or a related field.
  • Strong programming skills in Python, R, SQL, or similar tools.
  • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Experience developing predictive models using methods such as regression, decision trees, or neural networks.
  • Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS).
  • Knowledge of healthcare data and systems (e.g., claims data, ICD-10) and ability to apply insights to real-world challenges.
  • Ability to communicate complex findings to both technical and non-technical audiences.
  • Strong collaboration, problem-solving, and critical thinking skills.

Preferred Qualifications
  • Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar.
  • Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.
  • Experience with data visualization tools such as Tableau.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 107,700 - 179,500 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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