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Postdoc Data Science Remote Jobs in Minnesota (NOW HIRING)

Deloitte

GCP Manager

Minneapolis, MN · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Intermountain Health

Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in ... Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data ...

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Postdoc Data Science Remote information

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

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote Postdoc Data Scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is a Postdoc Data Science Remote position?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Minnesota? For Postdoc Data Science Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Minnesota look for? The top searched job categories for Postdoc Data Science Remote jobs in Minnesota are:
Postdoc Data Science Remote jobs near you
Infographic showing various Postdoc Data Science Remote job openings in Minnesota as of May 2026, with employment types broken down into 3% Internship, 27% Full Time, 51% Part Time, 3% Temporary, 13% Contract, and 3% Nights. Highlights an 100% Hybrid job distribution.
Solution Architect, Industrial Technology Pre-Sales (Remote)

Solution Architect, Industrial Technology Pre-Sales (Remote)

SymphonyAI

Minneapolis, MN • On-site, Remote

$63.25 - $83.50/hr

Full-time

Posted 11 days ago

Job description

Introduction
Job Title:
Solution Architect
Overview:
SymphonyAI Industrial is a global leader in Industrial AI, enabling manufacturers and asset-intensive enterprises to transform fragmented IT, OT, and edge data into real-time, contextual intelligence that improves uptime, throughput, and operational efficiency.
Our platform is built on Vertical AI - domain-aware models, ontologies, and knowledge graphs that understand industrial operations from day one. We are seeking a Solution Architect to join our customer applications team and play a defining role in shaping the future of our industrial AI platform.
This role is for a senior soultion architect with a deep curiosity for how systems really work - someone who enjoys reverse-engineering complex platforms, challenging assumptions, and designing forward-looking architectures while staying hands-on and closely connected to engineering teams.
Job Description
Responsibilities:
  • Collaborate with clients and our partners to understand their business needs, challenges, and objectives, proposing tailored AI solutions that deliver measurable value.
  • Recommend engineered features and AI models for specific industrial and/or supply chain applications while identifying required sensors/signals and other datasets.
  • Engage with product development, product management, software engineering, data science, and delivery teams to develop high-value AI products and solutions.
  • Provide critical inputs to the conceptual and detailed design of dashboards and front-end applications for industrial and/or supply chain use cases.
  • Support clients with domain expertise for data analysis, requirements translation, problem definition, root cause analysis, sales/engineering training and business case/ROI analysis.
  • Ensure successful customer delivery, value tracking, and demonstration of ROI for implemented AI solutions.

Required Skills & Qualifications:
  • Strong engineering domain expertise in one or more industrial verticals such as Power Generation, Oil & Gas, Metals, Mining, Chemicals, CPG, manufacturing or similar sectors.
  • Deep understanding of industrial assets (e.g., turbines, compressors, pumps, heat exchangers, motors) and their failure modes, or industrial processes (e.g., refining, smelting, chemical reactors, food processing) from a process monitoring and optimization perspective.
  • Hands-on expertise in supply chain domains, with the ability to contribute directly to the definition and build of data-driven supply chain solutions.
  • Demonstrated experience deriving actionable insights from industrial data and architecting AI-driven solutions for real-world industrial challenges.
  • Proven ability to engage with clients, understand their unique needs, and communicate technical solutions effectively to both technical and business audiences.
  • Strong collaboration skills, with experience working in cross-functional, agile teams spanning product, engineering, and data science.
  • Capability to develop technically rigorous training materials and deliver hands-on training for both engineering and sales audiences.
  • Technical mentorship experience, fostering growth and best practices within engineering teams.
  • Self-motivated, adaptable, and able to innovate quickly in a dynamic environment.

Requirements/Qualifications:
  • Bachelor's or Master's degree in a quantitative or engineering discipline.
  • 8+ years of experience in industrial data analysis and AI/ML-based solution development for industrial customers.
  • Software development experience in object oriented language.
  • Experience engaging and collaborating with US and European clients, demonstrating excellent communication and cultural adaptability.
  • Experience working across multidisciplinary teams covering product development, data science, software engineering, and delivery.
  • Excellent written and verbal communication skills.
  • Willingness to travel as required to support client success.

Preferred Skills & Qualifications:
  • Experience with Python-based data analysis tools, including Scikit-learn, NumPy, Pandas, and generative AI-based tools.
  • Skilled with data visualization libraries such as Matplotlib, Plotly, and Seaborn.

Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.
About Us
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

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