Data Scientist

We are a part of ASTEK Group, which has been gathering experience in the global consulting and engineering services market since 1988. ASTEK Group is a global player in engineering and technology consulting, present on 5 continents.

What do we learn from other Group entities in our daily work? First and foremost: inspiration, objectives, good practices, innovative activities and values. In 2020, 2021, 2022 and 2023 we received the Great Place to Work certificate, and found ourselves among the 15 Best Workplaces in Poland in the category: large companies.

Our Client is is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. The Client is also the world leader in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management.

How about joining ASTEK Polska’s community of Data Scientist?

Salary:

• up to 1,400 PLN net + VAT/MD (B2B) depending on your professional experience

• up to 18,000 PLN gross/month (contract of employment)

Work model:

• Remote from POLAND

About the project:

Join our AI Emerging Technology & External Collaborations team, a strategic group focused on delivering AI-enabled solutions and harnessing emerging technologies to advance the Pharma and DIA Partnering business. We are at the forefront of innovation – building scalable data infrastructure, applying advanced data engineering practices, and integrating cutting-edge external capabilities to accelerate decision-making and unlock business value.

Our work spans across multiple high-impact initiatives, from developing intelligent data products to enabling end-to-end AI workflows. Whether it's structuring complex data ecosystems or collaborating with external research institutions, this is a unique opportunity to help shape the future of data and AI by directly supporting key strategic decisions across a global Partnering organization.

As a Data Scientist, you will play a critical role in shaping our data strategy and solving complex business challenges through the innovative application of machine learning. You will move beyond simply executing on requirements; you will be a thought partner who seeks out opportunities, defines the right questions to ask, and drives projects from ambiguity to impactful business outcomes.

Your day-to-day responsibilities include:

• End-to-End Model Ownership: Drive the entire machine learning lifecycle, from exploratory data analysis (EDA) and advanced feature engineering to model training, validation, deployment, and post-launch monitoring for performance and concept drift.
• Problem Formulation: Translate ambiguous business requirements and domain challenges into well-defined technical problems, testable hypotheses, and robust machine learning solutions.
• Rigorous Experimentation: Design, test, and validate multiple modeling approaches to find the optimal solution, establishing clear and relevant evaluation metrics that directly align with business goals.
• Technical Implementation & Deployment: Utilize our Triple AI SageMaker environment to efficiently train, deploy, and manage scalable models in a production setting.
• Data Storytelling & Visualization: Communicate complex model outputs and data-driven insights through compelling storytelling and clear visualizations, empowering business stakeholders to make informed, data-backed decisions.
• Product-Oriented Mindset: Develop a deep understanding of the business domain and product vision, ensuring that your work is not just technically sound but also delivers tangible and measurable value to the end-user.
• Collaborative Innovation: Actively collaborate with engineers, product managers, and business leaders, fostering a culture of shared knowledge, open feedback, and continuous improvement.
• Proactive & Agile Impact: Embody an entrepreneurial spirit and an agile mindset, proactively identifying opportunities for impact and focusing on delivering concrete business results and outcomes over exhaustive documentation.

You’re ideal for this role if you have:

• Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of hands-on professional experience in a data science role focused on building and deploying machine learning models.
• Strong proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
• Solid proficiency in SQL for complex data querying, transformation, and analysis.
• Experience building models for business applications such as forecasting, classification, clustering, or regression.
• Familiarity with at least one major cloud platform (AWS, GCP, Azure).
• 5+ years of experience in a product-focused data science environment.
• Ideally, direct hands-on experience using Amazon SageMaker for model development, training, and deployment.
• Proven experience implementing and managing model monitoring systems to detect data and model drift in a production environment is highly desired.
• A forward-looking interest in the application of Generative AI, with an enthusiasm to learn how to combine LLMs and other generative techniques with traditional machine l- earning as part of your professional development in the role.
• Hands-on experience with MLOps principles and tools (e.g., MLflow, Kubeflow, feature stores).
• Demonstrated ability to thrive in a dynamic environment, taking complete ownership of ambiguous problems and driving them to resolution.
• Exceptional communication and data storytelling skills, with a proven ability to listen, understand business context, and influence both technical and non-technical audiences.
• A strong portfolio of completed data science projects that demonstrates a focus on delivering business impact.

Your personality:

• You are a team player
• You are focused on long-term cooperation
• You easily adopt to changes

Added value for you:

• Long-term cooperation
• Possibility to choose preferred type of cooperation (regular job contract with all benefits or flexible B2B contract)
• Technical trainings, certificates and upskilling
• Competence Center mentoring - you will be a member of CC community from the first day of your work. You’ll have a chance to develop your skills, participate in various conferences and share your knowledge and experience with people who face the same challenges in their daily work
• Clear career path
• Employee benefits package
• Friendly work atmosphere, social events and team-building meetings

Need more information? Contact me: [email protected]

It’s not about you? Recommend us your friend and get a bonus up to 7,000 PLN Link: https://astek.pl/system-rekomendacji/

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