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Senior Economics Data Science Jobs in Minnesota (NOW HIRING)

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Mayo Clinic

Data Science Analyst

Rochester, MN

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: • Provides data ...

Mayo Clinic

Data Science Analyst

Rochester, MN

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

About the Role We are seeking an experienced Senior Data Scientist to join a collaborative ... fast-paced data science team focused on delivering measurable business value through machine ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences. * Proficiency in Python, including ...

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Senior Economics Data Science information

What is a senior economics data scientist?

Senior Economics Data Scientists are experienced professionals who use advanced data analysis, statistical modeling, and economic theory to solve complex business and policy problems. They collect, process, and interpret large datasets to provide actionable insights, forecast trends, and inform decision-making at a strategic level. Typically, they work closely with interdisciplinary teams, lead research projects, and may mentor junior analysts. Their work often spans sectors such as finance, government, technology, and consulting, where data-driven economic insights are crucial.

What are the typical collaboration opportunities for a senior economics data scientist within a cross-functional team?

As a Senior Economics Data Science professional, you’ll frequently collaborate with economists, product managers, engineers, and business analysts. Your role will involve designing experiments, building predictive models, and translating complex economic insights into actionable strategies for stakeholders. You’ll often participate in cross-functional meetings to align on objectives, share data-driven findings, and help guide product or business decisions. This collaborative environment not only strengthens the impact of your work but also provides exposure to diverse perspectives and opportunities for career growth.

What are the key skills and qualifications needed to thrive as a senior economics data scientist, and why are they important?

To thrive as a Senior Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by an advanced degree (e.g., MS or PhD) in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with statistical modeling tools, and familiarity with databases like SQL are essential, along with knowledge of machine learning frameworks. Strong communication, problem-solving abilities, and collaboration skills help translate complex data insights into actionable business recommendations. These skills are crucial for driving data-driven decision-making and delivering impactful economic analysis in a business environment.

What is the difference between Senior Economics Data Science vs Data Analyst?

AspectSenior Economics Data ScienceData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fieldBachelor's degree in Economics, Statistics, or related field
Work EnvironmentAdvanced analytics, modeling, economic research, cross-functional teamsData collection, reporting, basic analysis, business support
Employer & Industry UsageFinancial services, consulting, tech, government agenciesRetail, marketing, healthcare, finance

Senior Economics Data Science roles focus on complex economic modeling, predictive analytics, and strategic insights, often requiring advanced degrees. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Senior Economics Data Scientists engage in more sophisticated modeling and economic research, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Economics Data Science jobs in Minnesota?

The most popular types of Economics Data Science jobs in Minnesota are:

What are popular job titles related to Senior Economics Data Science jobs in Minnesota?

For Senior Economics Data Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Economics Data Science jobs in Minnesota look for?

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

What cities in Minnesota are hiring for Senior Economics Data Science jobs?

Cities in Minnesota with the most Senior Economics Data Science job openings:

Senior Economics Data Science jobs near you

Sr. Director, AI & Data Science

Veracity Software Pvt. Ltd.

Wayzata, MN • On-site

Full-time

Re-posted 15 days ago

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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