Data Scientist

SEARGIN IS HIRING!

As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!

Currently, for the new Seargin project, we are looking for a Data Scientist.

Cooperation: b2b

Working model: Poland

This assignment will require occasional availability during morning hours in San Francisco, as part of the team is located there.

Team Description:

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 at Roche by directly supporting key strategic decisions across our global Partnering organization.

Responsibilities:

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.

As a Data Scientist, you will be a pivotal member of our team, responsible for:

Key Responsibilities:

• 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.

Basic Qualifications:

• 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).

Discover the Power of IT Excellence. Apply!

To learn more about Seargin, please visit our web page: www.seargin.com