Overview

Lead Data Scientist

Location: Poland Work Arrangement: Remote

About This Role

Hyland is looking for a highly skilled and experienced Lead Data Scientist to join our team in Poland. In this role, you will design, develop, and deliver advanced machine-learning and AI-driven software capabilities that power Hyland's commercial products and platforms. You will blend deep engineering expertise with applied data science — enabling scalable features, intelligent automation, and production-ready ML systems. You will also serve as a trusted technical advisor to product engineering teams, helping shape AI feature roadmaps and elevate the organization's AI engineering maturity. If you are passionate about pushing the boundaries of AI and ML and thrive in a collaborative, innovation-driven environment, we'd love to hear from you.

Your Role Responsibilities? Here's What You'll Do.

• Design and implement robust, scalable machine-learning services and components for inclusion in customer-facing software; build efficient data pipelines to collect, clean, normalize, and transform structured and unstructured data used by ML features.
• Architect and implement model-training workflows, model-versioning strategies, and evaluation pipelines for ongoing improvement; optimize models for performance, cost, latency, and scalability across CPU/GPU environments.
• Prototype and evaluate new machine-learning models, deep-learning architectures, and embeddings strategies aligned to product needs; develop predictive, generative, and analytical models that enable automation, forecasting, classification, clustering, recommendations, or other product capabilities.
• Apply advanced statistical methods, A/B testing frameworks, and hypothesis-driven experimentation to validate model performance; conduct exploratory data analysis (EDA), feature engineering, and statistical evaluations to support model development.
• Operate as a technical expert and trusted advisor to product engineering teams, helping shape AI feature roadmaps and implementation strategies; communicate complex statistical or modeling concepts to engineers, architects, and product leaders in clear, actionable ways.
• Establish and evolve engineering standards for ML/AI development, including testing strategies, monitoring, observability, and reliability; provide mentorship and technical guidance to junior team members and help strengthen the organization's AI engineering maturity.

Technology Tools

• Python
• TensorFlow
• PyTorch
• scikit-learn
• Pandas
• Jupyter
• Tableau
• Plotly
• NoSQL Databases
• Vector Databases

Role Essentials

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical discipline (or equivalent experience); significant experience developing machine-learning or AI-based software systems in production environments.
• Mastery of Python and applied machine learning libraries (TensorFlow, PyTorch, scikit-learn, Pandas); deep understanding of statistical modeling, hypothesis testing, probability theory, and mathematical optimization.
• Demonstrated expertise with relational, NoSQL, big-data, or graph databases, with strong ability to architect data structures for ML workloads; experience building and deploying APIs, microservices, or distributed systems that run ML inference at scale.
• Strong experience with data visualization and model-explainability tools (Jupyter, Tableau, Plotly, or equivalent); ability to articulate complex technical concepts clearly in both written and verbal communication.
• Strong critical-thinking and analytical problem-solving abilities; experience mentoring or supporting developing engineers or data scientists. Up to 5% travel required.

What We'd Like to See (Preferred Skills)

• Stay informed on the latest advancements in AI, ML, LLMs, vector databases, and retrieval frameworks; demonstrated ability to transform emerging research into real-world product features.
• Ability to develop clear internal documentation on model behavior, data flows, architectural decisions, and operational considerations.
• Experience contributing to a shared knowledge base of best practices for ML engineering and applied data science across an organization.
• Proven ability to communicate complex statistical or modeling concepts to engineers, architects, and product leaders in clear, actionable ways.
• Proven track record of establishing and evolving engineering standards for ML/AI development, including testing strategies, monitoring, observability, and reliability.

Pay Transparency

Starting Base Salary Range: 280,000.00 – 320,000.00 PLN gross per month. The posted pay range represents the company's good faith estimate for this role. Actual compensation may differ based on relevant experience, skills, education, and work location.

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. © Hyland. All rights reserved.

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 Hyland.com.

#HylandLife

Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry‑leading content services platform. 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 make a significant impact on our communities. 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.