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Data Science Phd Jobs in Missouri (NOW HIRING)

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 ...

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 ...

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 ...

Senior Data Scientist

Glenallen, MO · On-site

$150 - $200/hr

Master's or PhD preferred. Experience * 3‑5+ years of hands‑on experience in applied machine learning, data science, or AI engineering not just analytics. Demonstrated track record of shipping ML ...

New

Advanced degree (MS/PhD) in a quantitative field (CS, Stats, OR, Econ) is preferred. Why This Role ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Advanced degree (MS/PhD) in a quantitative field (CS, Stats, OR, Econ) is preferred. Why This Role ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Senior Manager, Data Science

Noel, MO · On-site

$110K - $220K/yr

Advanced degree (MS/PhD) in a quantitative field (CS, Stats, OR, Econ) is preferred. Why This Role ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Staff, Data Scientist (Pricing)

Anderson, MO · On-site

$110K - $220K/yr

What You'll Bring: * 8+ years in Data Science / Applied ML (or PhD + 5 years), with deep hands-on exposure to pricing, elasticity, or causal modeling. * Demonstrated experience delivering production ...

Staff, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

What You'll Bring: * 8+ years in Data Science / Applied ML (or PhD + 5 years), with deep hands-on exposure to pricing, elasticity, or causal modeling. * Demonstrated experience delivering production ...

What You'll Bring: * 8+ years in Data Science / Applied ML (or PhD + 5 years), with deep hands-on exposure to pricing, elasticity, or causal modeling. * Demonstrated experience delivering production ...

Staff Data Scientist

California, MO · On-site

$120 - $180/hr

Work directly with the Division Analytics Chief Data Engineer, frontend data visualization ... Science; 10 years with Masters; 8 years with PhD or an additional 4 years of related experience in ...

New

(USA) Senior, Data Scientist

Cassville, MO · 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 ...

Showing results 21-40

Data Science Phd information

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 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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$130K - $188K/yr

Full-time

Medical, Retirement

Posted 24 days ago


Job description

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness We are Proudly Connected. Purely Driven.Position SummaryDigital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You?ll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history. As an Expert Data Scientist at Nestl Purina, you'll support enterprise-wide AI and machinelearning usecase creation, deployment, and operationalization across critical business initiatives that drive significant value and transformative outcomes. This role sits at the intersection of technical depth and commercial impact, helping build the connected digital space that powers how we reach consumers across channels. You'll bring a consumer lens to your work, partnering with commercial teams to solve challenges across retail and direct consumer engagement, and translating emerging AI technologies into measurable business results. Lead the development and deployment of advanced machine learning, optimization, and AI solutions to solve complex business problems across the commercial organization Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise and consumer-facing applications Build and operationalize LLM-based solutions including retrieval augmented generation (RAG) pipelines, AI agents, copilots, and multimodal AI applications Partner with business and commercial leaders to translate strategic priorities into AI solutions and drive adoption across retail and consumer channels Guide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management Develop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions Mentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems Requirements Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field 7+ years of professional experience, with 5+ ofthose years in data science, advanced analytics, and machine learning 5+ years of experience with machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for predictive modeling and deploying AI solutions in a production environment 3+ years of experience in Python/SQL for advanced analytics, data engineering, and model development 2+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for various data science use cases 2+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design Other 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 teams to design AI-enabled workflows across areas such as campaign optimization, consumer engagement, pricing and promotion analytics, or digital commerce is preferred Knowledge of database systems, data warehousing, and distributed computing frameworks (e.g., SQL, NoSQL, Hadoop, Spark, or Ray) is preferred Understanding of agentic AI, knowledge graphs, and autonomous decision-making systems, along with expertise in GenAI models (e.g., GANs and diffusion models) and building LLM-based solutions such as RAG pipelines, copilots, and multimodal AI applications, is preferred Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management, including responsible AI principles such as fairness, explainability, hallucination detection, and AI risk management, is preferred Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestl, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration. The approximate pay range for this position is $130,000 to $188,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestl offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us It is our business imperative to remain a very inclusive workplace.To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestl. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestl seeks such skilled and qualified individuals to share our mission where you?ll join a cohort of others who have chosen to call Nestl home.The Nestl Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.This position is not eligible for Visa Sponsorship.Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.Job Requisition:409969