Data Scientist
📍 Location: Hyderabad 🏢 Work Arrangement: Hybrid – 2 days per week in the office
About the Role
We're looking for a curious and analytically driven Data Scientist to join our team and help turn complex data into meaningful insights that support business decisions. In this role, you'll work closely with business and department stakeholders to understand their goals, develop data-driven solutions, and communicate findings in clear, actionable ways.
This is a great opportunity for someone who is passionate about data, eager to grow their modeling and analytics skills, and excited to contribute to a team that values both technical rigor and practical impact. If you enjoy solving real business problems with data and technology, we'd love to hear from you.
Your Role Responsibilities? Here's What You'll Do.
- Perform analyses to gather information on business issues and trends; conduct basic to moderate risk analyses with oversight from team members; and collect, analyze, manipulate, and aggregate data from multiple sources to support informed decision-making.
- Develop basic models and apply foundational statistical and mathematical concepts — including supervised learning — to derive meaningful insights that directly support management decisions.
- Report on findings by summarizing analyses into clear, concise, and effective reports or presentations, adhering to data visualization best practices and maintaining accurate metrics and dashboards.
- Compose internal documentation detailing processes and findings, and regularly provide input on how to improve internal efficiencies while staying current with best practices and market trends.
- Create functions in R/Python to support data analysis workflows, and leverage advanced knowledge of Unix/Linux environments and data integrity auditing to ensure the quality and reliability of data outputs.
- Provide training and guidance on how to interpret and apply data to stakeholders across the organization, and assist with special projects as assigned.
- R & Python
- Unix / Linux
- Microsoft Excel (Advanced)
- Microsoft Office
- Relational Databases
- NoSQL Databases
- Big Data Technologies
- Graph Databases
Role Essentials
- Bachelor's degree with demonstrated success performing analyses and strong project management skills.
- Advanced Microsoft Excel data mining skills and proficiency in DS tools (R/Python), with the ability to create custom functions to support data analysis workflows.
- Understanding of relational, NoSQL, big data, and graph databases, paired with advanced knowledge of statistics and modeling approaches.
- Advanced understanding of chart selection and data visualization best practices, with the ability to communicate findings clearly and effectively to diverse audiences.
- Strong oral and written communication, critical thinking, and problem-solving skills, with excellent collaborative abilities applied within teams and across the organization.
What We'd Like to See
- Strong business and technology acumen, with the ability to understand and adopt new technologies as they emerge in the data science landscape.
- Organized and experienced at multi-tasking, with a demonstrated ability to focus on key issues and integrate information from a variety of sources.
- Proficient in Microsoft Office applications, with strong attention to detail and a structured approach to documentation and reporting.
- Demonstrated ability to provide training and guidance on data interpretation and application to both technical and non-technical stakeholders.
- Self-motivated and collaborative, with the ability to contribute meaningfully to special projects in a fast-paced, team-oriented environment.
About Hyland
Hyland is the pioneer of the Content Innovation Cloud™, delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation.
Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland's platform and services, please visit .
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About Hyland Life
Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry-leading . Our employees exude a contagious energy and are passionate about what they do – whether it's helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.
The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.
As we've grown to a company of nearly 4,000 strong, we have the opportunity to . We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.
Equal Opportunity Statement
Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.
