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Data Science Associate Jobs in Lincoln, NE (NOW HIRING)

penlink

Associate Product Manager

Lincoln, NE · On-site

The Associate Product Manager supports the development and delivery of Penlink products by helping ... Partner with Software Engineering, UX, QA, Data Science, Sales, and other teams to clarify ...

Instinct

R&D - Associate Scientist

Lincoln, NE · On-site

Data collection, entry, analysis, and reporting * Responsible for all testing protocols including ... Science is preferred * 3+ years relevant work experience in product development in the food ...

Nelnet

Director, Credit Risk Management

Lincoln, NE · On-site

$200K/yr

Engineering or Data Science background with production machine learning experience. Model ... Our hybrid work environment allows associates living within 30 miles of an office location to work ...

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Data Science Associate information

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$50.1K

$59.2K

$112.3K

How much do data science associate jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science associate in Lincoln, NE is $59,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $51,800.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Lincoln, NE?

The most popular types of Data Science jobs in Lincoln, NE are:

What job categories do people searching Data Science Associate jobs in Lincoln, NE look for?

The top searched job categories for Data Science Associate jobs in Lincoln, NE are:

What cities near Lincoln, NE are hiring for Data Science Associate jobs?

Cities near Lincoln, NE with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Lincoln, NE as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,235 per year, or $28.5 per hour.

Associate Product Manager

penlink

Lincoln, NE • On-site

Full-time

Posted 18 days ago

Job description

Description
Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it's about improving the world and keeping safe the places we call home.
We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits - even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking a Associate Product Manager to join our Innovation team.
The Associate Product Manager supports the development and delivery of Penlink products by helping translate customer and business needs into clear requirements and actionable solutions. Working closely with Product Managers and cross-functional teams, this role conducts research and analysis, documents requirements, supports product discovery and prioritization, and helps ensure products deliver value to our customers. This is an early-career product role designed to develop the skills and experience needed to grow into broader product management responsibilities.
YOUR RESPONSIBILITIES
  • Support Product Managers in defining product requirements, priorities, and plans for assigned products and initiatives.
  • Gather and analyze customer, business, and product information to identify needs, gaps, and opportunities.
  • Translate business and customer needs into clear requirements, user stories, acceptance criteria, workflows, and other documentation.
  • Partner with Software Engineering, UX, QA, Data Science, Sales, and other teams to clarify requirements and support product development.
  • Conduct customer, market, and competitive research to support product decisions.
  • Analyze product data, customer feedback, and other information to identify trends and inform recommendations.
  • Support product discovery, feature prioritization, backlog refinement, roadmap planning, and release activities.
  • Participate in Agile ceremonies and help ensure requirements and priorities remain clear throughout development.
  • Assist with testing and validation of new functionality to ensure solutions meet requirements and user needs.
  • Support post-release feedback and analysis to identify opportunities for product improvements.
  • Develop a working understanding of PenLink's products, customers, industry, and competitive landscape.
  • Stay informed on emerging technologies, including AI and machine learning, and their potential applications.
  • Other responsibilities as assigned.

Requirements
YOUR COMPETENCIES & EXPERIENCE
  • 0-2 years of experience in product management, business analysis, technology, or a related field preferred.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills with the ability to work effectively with technical and non-technical stakeholders.
  • Ability to gather information, identify key insights, and translate findings into clear requirements and recommendations.
  • Strong attention to detail and ability to create clear, organized documentation.
  • Ability to understand business processes, user workflows, and customer needs.
  • Collaborative, curious, and comfortable working across multiple teams.
  • Self-motivated with the ability to manage multiple priorities and meet deadlines.
  • Comfortable asking questions, challenging assumptions, and seeking solutions.
  • Basic understanding of software development concepts, Agile methodologies, APIs, databases, or cloud technologies.
  • Familiarity with product management or business analysis practices such as requirements gathering, user stories, process mapping, or backlog management.
  • Comfort working with data, spreadsheets, reporting tools, or other analytical resources.
  • Familiarity with AI/ML concepts is a plus.
  • Bachelor's degree in Business, Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • Experience working in an Agile software development environment is preferred.

This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.

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