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Phd Data Scientist Jobs in Springfield, MO (NOW HIRING)

Responsible for the development of Wet/Liquid/Paste dairy systems and dairy flavors for food and dairy industries from concept/opportunity through commercialization (at the customer). This person

Role Title: Medical Writer / Clinical Document Author Role Type: Contractor Location: Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer's project

Role Title: Medical Writer / Clinical Document Author Role Type: Contractor Location: Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer's project

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply

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Phd Data Scientist information

See Springfield, MO salary details

$41.8K

$150.1K

$221.5K

How much do phd data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for phd data scientist in Springfield, MO is $150,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $154,600.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

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

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are popular job titles related to Phd Data Scientist jobs in Springfield, MO?

For Phd Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Phd Data Scientist jobs in Springfield, MO look for?

The top searched job categories for Phd Data Scientist jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Phd Data Scientist jobs?

Cities near Springfield, MO with the most Phd Data Scientist job openings:

Principal Scientist

Springfield, MO • On-site

Full-time

Re-posted 28 days ago


Dairy Farmers Of America rating

7.2

Company rating: 7.2 out of 10

Based on 169 frontline employees who took The Breakroom Quiz


Job description

Responsible for the development of Wet/Liquid/Paste dairy systems and dairy flavors for food and dairy industries from concept/opportunity through commercialization (at the customer). This person will be relied upon as an expert related to dairy flavors and emulsions including dairy science research, innovation, development, applications; relating to new product/solution development; but also, for formulation cost-out opportunities, process improvements, new technology scouting. Key driver of organic growth through monetization of the opportunity and innovation pipeline.

Job Duties and Responsibilities:

  • Research dairy science, food science and equipment for the purpose of innovating new technologies and the development of intellectual property (IP) for DFA
  • Develop new wet and dry dairy systems, dairy flavors, dairy emulsions and solutions using DFA's plethora of ingredient options and manufacturing capabilities
  • Reformulate products and stream-line processes appropriate to reduce cost
  • Perform applications testing simulating the customer's end use to ensure the products developed exceed the customer's expectations for taste, functionality, and nutrition
  • Utilize sensory science tools, available in the Innovation Center, to give data points to the customer demonstrating expectations are met/exceeded
  • Perform pilot plant testing to ensure a successful scale-up for DFA manufacturing and ultimately the end customer
  • Drive the commercialization of new products by partnering with the process technology team in the plants
  • Support the customer in scale up and commercialization to ensure DFA people and products are part of the scale up and launch
  • Effectively operate pilot plant equipment, for new products, cheeses, flavors and emulsion systems development.
  • Develop effective concepts for benchtop sessions, in partnership with sales, to generate wins with customers
  • Support sales in determining customer needs, problems, insights, and strategy that would ultimately require a DFA solution.
  • Proactively initiate action plans to maintain, improve and develop the DFA solutions and capabilities
  • Inspire and excite DFA customers through demonstration of unique new products and applications that are relevant to their consumers
  • Partner with sales to understand customer's future needs, their brands, and strategies to anticipate new areas of capability development and innovative ideas for end use categories
  • Provide technical and applications expertise to support the customer
  • Drive opportunities to commercialization internally and close with the customer
  • Co-create and effectively utilize the product lifecycle management (PLM) process and adhere to the Scientific Development Standards Process, including version control, development notes and documented learnings
  • Effectively utilize CRM (Salesforce.com) as a tool to manage status of the opportunities, project milestones in the pipeline and track KPIs related to the opportunity pipeline continually improving our R&D service to customers, ultimately leading to faster speed-to-market driving increased customer connectivity.
  • Collaborate with and influence technical sales, customer support and other stakeholders to "solve for yes"
  • Contribute to technical content and make and review presentations for commercialization activities
  • Provide effective, timely and relevant reporting to leadership
  • Apply strong knowledge of the DFA's capabilities - including understanding the functional and technical aspects of the products and how DFA's capabilities differentiate us from others in the industry
  • Demonstrate a "never stop learning" mindset and influence others to adopt this mindset
  • Active participation in commercial project review by offering guidance and mentorship
  • The requirements herein are intended to describe the general nature and level of work performed by employee, but is not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as required

Education and Experience

  • B.S. Degree in food, dairy or biological science related discipline
  • Masters or PHD desirable
  • 8+ years of industry experience in R&D
  • Proven career advancement in dairy flavors, natural, process and cheese sauces and products
  • Demonstrated staff leadership attributes or staff management experience
  • Proven successful track record in new product development with multiple examples of commercialized products/solutions directly or under your leadership
  • Desired areas of expertise:
    • Fermentation and enzyme modification of dairy products and ingredients for flavor and functionality improvement or development
    • Knowledge of flavor compounding utilizing paste and liquid flavor systems
    • Working and advanced knowledge of natural, processed cheeses and dairy sauces' manufacturing
    • Excellent knowledge of dairy flavors application across the food and dairy industries and market segments
    • Ability to create paste, liquid and dry flavor formulations and products
    • Dairy science and Dairy Microbiology

Knowledge, Skills and Abilities

  • Food safety programs and food safety by design
  • Food regulatory & labeling laws including both: USDA & FDA
  • Strong leadership and team building abilities
  • Exceptional communication skills
  • Ability to solve complex customer demands and problems
  • Self-driven and committed to hands on work habits
  • Ability to initiate, drive and adapt to change
  • Ability to balance heavy workload and manage multiple tasks
  • Must have the ability and capability to interact and communicate with the most senior levels of the organization
  • Able to read, write, and speak English

Travel:

  • 15%-25% (1-2 times per quarter)

An Equal Opportunity Employer including Disabled/Veterans


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