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42 Rocket Software Data Scientist Jobs Hiring Near You

Rocket Software, Inc.

Software Engineer III

Bentonville, AR · On-site

$49 - $65.75/hr

Good understanding of computer science fundamentals: algorithms, data structures, etc. acquired ... Go (good to have) Rocket Software Inc. is committed to creating a diverse environment and is proud ...

Rocket Software

Compensation Analyst

OR · Remote

$59.50K - $80.33K/yr

... data. Travel Requirements: Minimal, infrequent travel Information Security: Information security is everyone's responsibility. A fundamental principle of information security at Rocket Software is ...

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What is it like to work at Rocket Software?

Rocket Software is a company that values collaboration, innovation, and customer satisfaction, fostering a culture of teamwork and mutual support among its employees. The company's structure is organized into various teams, including product development, sales, and customer support, allowing employees to work closely with colleagues from diverse backgrounds and expertise. Working at Rocket Software may appeal to individuals who are passionate about technology, enjoy solving complex problems, and are motivated by the opportunity to contribute to the development of software solutions that make a meaningful impact in various industries.
What other companies are hiring for Data Scientist jobs?
What are the most popular jobs at Rocket Software?
What are the most popular categories at Rocket Software?
Infographic showing various Data Scientist job openings at Rocket Software in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 53% Physical, and 47% Remote job distribution.
AI Engineer (Agentic Operations) - NLP

AI Engineer (Agentic Operations) - NLP

Rocket Software, Inc.

Bentonville, AR • On-site

$97.50K - $117K/yr

Full-time

Posted 2 days ago

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description Summary:
Rocket's Data Modernization Business Unit aids customers in managing, governing, and maximizing the value of their enterprise data assets. Our clientele comprises many Fortune 500 companies, including some of the world's largest banks, insurance companies, and manufacturing organizations. We are currently seeking motivated and innovative individuals to join our applied machine learning team. This is an opportunity to play a crucial role in the continued evolution of our world-class solutions.
Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation. They will be responsible for understanding and adapting current research. The position requires a deep understanding of computational linguistics, image processing, and Python programming. The selected candidate will be part of a collaborative team dedicated to building, fine-tuning, and deploying state-of-the-art models to solve real-world problems in information management, data intelligence, content automation, audit, and analytics. This presents an opportunity to create tremendous business value as we assemble a world-class applied machine learning team.
Essential Duties and Responsibilities:
  • Consult with key internal and external stakeholders to understand and frame model requirements and potential applications.
  • Design, develop, and deploy machine learning models using tools and platforms optimized for distributed machine learning.
  • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.
  • Evaluate the applicability of current research to our problem domain and software solutions.
  • Collaborate closely with software engineers to integrate the trained models into end-user applications.
  • Develop sound analytic plans based on available data sources, business partner needs, and required timelines.
  • Manage deliverables across multiple projects in a deadline-driven environment and projects related to a wide variety of business settings.
  • Present results, insights, and recommendations to both technical and non-technical stakeholders.

Required Qualifications:
  • 5+ years of industry experience.
  • Experience in the professional management of junior data scientists within projects and their continuous professional development.
  • Expertise in Python, Linux, and ML, familiarity with SQL.
  • Demonstrated ability to find creative and practical solutions to complex problems.
  • Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources.
  • Demonstrated ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions.
  • A quick learner, highly adaptable to the needs of internal collaborators in a dynamic environment.
  • Efficiency in managing multiple projects.
  • Excellent communication and interpersonal skills.
  • Must be comfortable working in a team-oriented environment.

Preferred Qualifications:
  • Master's degree in Statistics, Computer Science, Mathematics, Economics, or directly related fields.

While all the above qualifications are important, we also value candidates who display a strong passion for continued learning, possess a spirit of innovation, and show high adaptability in a fast-paced work environment.
Diversity, Inclusion & Equity:
At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.
Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process.
Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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About Rocket Software

Sourced by ZipRecruiter

Thousands of companies around the world depend on Rocket to solve their most challenging business problems by helping them run their critical infrastructure, business processes, and data, as well as extending the value of these assets to take advantage of cloud and mobile computing, advanced analytics, and other future innovations. From the clothes we wear to the cars we drive, Rocket solutions power the back-end systems that thousands of brands interact with every day. At Rocket, software has always been about people--not just ones and zeroes. We're people solving problems for other people, and we strive to treat our customers, partners, and fellow Rocketeers with humanity.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Waltham, MA, US

Year founded

1990

Social media

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