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Data Scientist Project Manager Jobs in Iowa (NOW HIRING)

FARMER MAC

Data Scientist - Credit Analytics

Johnston, IA · On-site

$115K - $160K/yr

This Data Scientist will use data science, statistics, and machine learning techniques to develop ... projects * Follow Farmer Mac's model risk management and AI governance best practices * Provide ...

Deloitte

Data Scientist

Des Moines, IA

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 ...

Deloitte

Data Scientist

Davenport, IA · On-site

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 ...

B2E Marketing

Marketing Data Scientist

Des Moines, IA · On-site

Manage multiple projects in a fast-paced, collaborative environment. Core Skills & Qualifications * Bachelor's degree in Data Analytics or a related field. * 25 years of experience in data science ...

Circle

Sr. Data Scientist, Payments

Nevada, IA · On-site

$152K - $205K/yr

Proven experience in planning and driving analytical and data science projects. * Excellent analytical and problem-solving skills, with attention to detail. * Strong communication skills to convey ...

Kellton

Imaging Data Scientist

Johnston, IA

$75/hr

Imaging Data Scientist Location: Johnston, IA 50131 Locals only within 50-mile required onsite T/W ... Project Scope and Brief Description Work at the intersection of plant cell biology and applied AI ...

State of Iowa

Data Scientist 1

Des Moines, IA · On-site +1

$79K - $122K/yr

The Data Scientist will harness the Department's incredible wealth of data to develop analytical ... Experience in the management and administration of Analytical and Artificial Intelligence platforms ...

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Data Scientist Project Manager information

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often supplemented with certifications like PMP. Transitioning typically involves gaining experience in managing projects and understanding business objectives alongside technical expertise.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on problem-solving, domain expertise, and model validation. The demand for data science skills remains strong as organizations seek to leverage AI effectively.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists and analysts to ensure timely delivery of insights and solutions. They manage project scope, timelines, and resources, often utilizing tools like project management software and requiring knowledge of data science methodologies and business objectives.

Is 40 too late for data science?

For a Data Scientist Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering data analysis tools and programming languages like Python or R, regardless of age.
What are popular job titles related to Data Scientist Project Manager jobs in Iowa? For Data Scientist Project Manager jobs in Iowa, the most frequently searched job titles are:
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What cities in Iowa are hiring for Data Scientist Project Manager jobs? Cities in Iowa with the most Data Scientist Project Manager job openings:
Data Scientist Project Manager jobs near you
Data Scientist

Data Scientist

Indotronix International Corporation

Johnston, IA • On-site

Full-time

Posted 4 days ago

Job description

Data Scientist | Johnston, Iowa, United States Data Scientist - Corteva | Johnston, IA (C2C)
About the Role
Join Corteva's innovative Seed organization as a Data Scientist, supporting sales enablement and data-driven decision-making for agricultural manufacturing. Reporting initially to Greg, you'll partner with cross-functional teams to deliver applied analytics and predictive modeling solutions directly tied to impactful agricultural use cases. This junior to mid-level position is ideal for those with strong technical fundamentals who are eager to grow in a dynamic, business-focused environment.
Responsibilities
  • Develop, implement, and validate predictive models to forecast demand and optimize business decisions.
  • Collaborate with business stakeholders to translate organizational needs into actionable data science projects.
  • Analyze complex datasets to uncover insights that drive sales strategies and operational improvements.
  • Present findings and recommendations clearly to both technical and non-technical audiences.
  • Continuously improve modeling approaches and ensure robust, reliable analytics solutions.
  • Support project verification and documentation for data-driven initiatives.

Required Skills and Experience
  • Proficiency in Python for data analysis and machine learning.
  • Solid command of machine learning fundamentals, including effective problem framing.
  • Proven experience applying statistical and mathematical techniques to real-world business scenarios.
  • Strong communication abilities with the skill to clarify technical concepts.

Preferred Skills
  • Exposure to Databricks platform.
  • Background in engineering with modeling, math, or statistics expertise.
  • Experience in applied agriculture or manufacturing analytics.

Benefits
  • Career growth with opportunities to advance into a tech lead path.
  • Work on high-impact agricultural use cases in a collaborative, business-oriented environment.
  • Flexible work location with no residency requirement.
  • No face-to-face interview required for streamlined process.

How to Apply
Ready to make your mark in ag-tech? Submit your resume via our job portal. Candidates must be authorized to work in the U.S. without sponsorship. Background check and drug screen required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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