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Data Science Phd Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a PhD or Master's degree with one year experience in a ...

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

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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.

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The top searched job categories for Data Science Phd jobs in Minnesota are:

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

Data Science Phd jobs near you
Infographic showing various Data Science Phd job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Sr. Director, AI & Data Science

Wayzata, MN • On-site

Veracity Software Pvt. Ltd.
See more jobs at Veracity Software Pvt. Ltd.external

Full-time

Re-posted yesterday

Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a visionary leader for the role of Sr. Director, AI & Data Science. This role is responsible for uncovering and enabling high-impact applications of artificial intelligence across the business, partnering with leaders to identify innovative opportunities and ensuring responsible AI practices are embedded in every initiative.
Responsibilities:
• Partners with business leaders to identify and accelerate AI opportunities through re-imagining how work is performed, embracing new and modern optimization techniques and changing the pace by which business value is realized.
• Translates complex AI capabilities into compelling business narratives, presenting to and influencing non-technical audiences and senior stakeholders to drive informed strategic decisions and foster confidence in AI-driven innovation.
• Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies.
• Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption.
• Develops and sponsors a community of practice of global data scientists to drive reuse, awareness and alignment to further the company's adoption and value through analytics solutions.
• Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.
• Accountable for delivering measurable business outcomes from artificial intelligence investments, with responsibility for handling a significant budget and achieving defined value impact targets.
• Builds strategic partnerships and alliances with key business and industry entities to achieve organizational objectives and improve the value of investments.
• Manages team members to achieve organization goals, provides technical coaching & guidance, drives accountability for high performance and develops and sustains an environment for data scientists to thrive in an inclusive culture.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience
• Minimum of eight years of related work experience
• Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
• Confirmed ability to present to non-technical audiences
Preferred:
• Master's degree or PhD in data science, computer science, math, engineering or related field
• Five years of experience leading teams
• Experience driving analytics adoption and mobilizing business transformation through AI adoption
• Broad expertise of business processes and functions
• Proficient in communicating to senior executives on opportunity and value, relating to the audience at hand
• Experience working with continuous integration and delivery (CI/CD) pipelines
• Experience working with distributed computing frameworks
• Experience working with AWS
• Experience in software development environment and code management or versioning
• Experience in agriculture
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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