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Urgently Hiring Data Science Engineer Jobs in Wisconsin

We're hiring high performers as proven as our products. Join us. ATI is seeking to hire a Data ... S. degree in computer science, engineering with a strong statistical and programming background.

We're hiring high performers as proven as our products. Join us. ATI is seeking to hire a Data ... S. degree in computer science, engineering with a strong statistical and programming background.

We're hiring high performers as proven as our products. Join us. ATI is seeking to hire a Data ... S. degree in computer science, engineering with a strong statistical and programming background.

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture ... Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property ...

Manager of Data Science

Hudson, WI · On-site

$140 - $210/hr

Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions. Workflow Management * Own delivery outcomes for data science and AI workstreams ...

Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well ... hiring rights. Wellness at CLA To support our CLA family members, we focus on their physical ...

Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well ... hiring rights. Wellness at CLA To support our CLA family members, we focus on their physical ...

WI · On-site

$95 - $130/hr

Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field (required) * Master's Degree in Data Science (preferred) * Seven years of experience in ...

We are actively hiring for a Senior Data Science Consultant, Insurance - Remote Your Role: This ... programming, along with the ability to translate complex findings into clear business ...

Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or ...

We are actively hiring for a Senior Data Science Consultant, Insurance - Remote Your Role: This ... programming, along with the ability to translate complex findings into clear business ...

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Urgently Hiring Data Science Engineer information

What does a data science engineer do?

An Urgently Hiring Data Science Engineer is responsible for quickly joining a team to design, develop, and implement data-driven solutions using advanced analytics, machine learning, and statistical methods. They work with large datasets, build data pipelines, and create predictive models to solve business problems. This role often requires collaborating with other engineers, data analysts, and business stakeholders to deliver actionable insights and support decision-making processes. The 'urgently hiring' aspect means employers are looking to fill the position as soon as possible due to immediate project needs or company growth.

What are the key skills and qualifications needed to thrive as a data science engineer?

To thrive as a Data Science Engineer, you need a strong background in statistics, programming (Python or R), and data modeling, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with machine learning frameworks (such as TensorFlow or Scikit-learn), big data tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is often expected, along with relevant certifications. Exceptional problem-solving, communication, and collaboration skills help you translate complex data insights into business value and work effectively with multidisciplinary teams. These skills and qualities are crucial for building effective data-driven solutions and maximizing organizational impact.

What are some common challenges faced by data science engineers when collaborating with cross-functional teams?

Data Science Engineers often work closely with product managers, software engineers, and business analysts, which can present challenges such as aligning on project goals, managing different priorities, and ensuring clear communication of complex technical concepts. It is crucial to translate data-driven insights into actionable business strategies that non-technical stakeholders can understand. Effective collaboration requires both technical expertise and strong interpersonal skills to bridge the gap between data science and other departments, ensuring that projects stay on track and deliver meaningful results.

What is the difference between Urgently Hiring Data Science Engineer vs Data Analyst?

AspectUrgently Hiring Data Science EngineerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentTech companies, startups, or industries requiring advanced modeling and machine learningBusiness intelligence, marketing, finance, or operations teams analyzing data for insights
Employer & Industry UsageUsed in industries focusing on predictive modeling, AI, and complex data solutionsCommon in industries needing data reporting, dashboards, and descriptive analytics

The main difference is that a Data Science Engineer focuses on building predictive models and machine learning solutions, requiring advanced technical skills, while a Data Analyst primarily interprets data through reports and visualizations. The urgency in hiring indicates immediate project needs for the Data Science Engineer role.

Are data science engineers still in demand?

Data science engineers are currently in high demand due to the increasing reliance on data-driven decision making across industries. They are sought after for their skills in machine learning, statistical analysis, and programming languages like Python and R, often requiring knowledge of big data tools such as Hadoop or Spark. The role remains critical as organizations prioritize AI and analytics initiatives.

What cities in Wisconsin are hiring for Urgently Hiring Data Science Engineer jobs?

Cities in Wisconsin with the most Urgently Hiring Data Science Engineer job openings:

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Milwaukee, WI • On-site

Full-time

Re-posted 28 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 30th 2026. 

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 30th 2026. 

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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