Lead Data Scientist

The Lead Data Scientist is responsible for designing, developing, and delivering advanced machine-learning and AI-driven software capabilities that power Hyland’s commercial products and platforms. This role blends deep engineering expertise with applied data science, enabling scalable features, intelligent automation, and production-ready ML systems.

• 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.

• Conduct exploratory data analysis (EDA), feature engineering, and statistical evaluations to support model development.

• Apply advanced statistical methods, A/B testing frameworks, and hypothesis-driven experimentation to validate model performance.

• 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.

• Optimize models for performance, cost, latency, and scalability across CPU/GPU environments.

• Stay informed on the latest advancements in AI, ML, LLMs, vector databases, and retrieval frameworks; transform them into real-world product features.

• Develop clear internal documentation on model behavior, data flows, architectural decisions, and operational considerations.

• Establish and evolve engineering standards for ML/AI development, including testing strategies, monitoring, observability, and reliability.

• Contribute to a shared knowledge base of best practices for ML engineering and applied data science across the organization.

• 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.

• Provide mentorship and technical guidance to junior team members and help strengthen the organization’s AI engineering maturity.

• 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.

Remuneration Disclosure: 

·         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. 

·         The remuneration includes all components related to the role, such as: 

o    Base salary 

o    Performance-related/Commission bonus eligibility (if applicable to role)

o    Benefits: Flexible Workplace Policy, Healthcare coverage, PPE Pension scheme, Life Insurance, Multisport Card and 5 additional days off per year 

o    Wellbeing: Eyeglasses reimbursement, Eyeglasses reimbursement, Employee Assistance Program, Online Wellness sessions, Movement challenges and Nutrition programs 

o    Other Recognition & gifts programs 

·         Reach out to your Hyland Recruiter for more information! 

Regulatory Information: 

Hyland’s internal Remuneration Regulation, in accordance with the Polish Labour Code, establishes a transparent remuneration system for employees in Poland and specifies additional salary components. Final candidates will receive the relevant Remuneration Regulation provisions in advance to ensure transparency and support informed decision-making. 

Recruitment Process and Non-Discrimination: 

·         This job posting and the related hiring process is designed and structured to be gender-neutral and inclusive, also in accordance with Article 183ca § 3 of the Polish Labour Code. 

·         In compliance with Article 22¹ § 1 point 6, we do not request information about your current or previous salary. 

·         We encourage applicants to share their salary expectations for this role. 

Why Join Us?: 

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability status, veteran status, marital status, or any other characteristic protected by law. 

If you require reasonable accommodations during the recruitment process, please let us know. We’ll do our best to support you and set you up for success.