Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation. You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise. In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities. This role offers the opportunity to work with advanced technologies while contributing to our mission of enabling customers to make the world healthier, cleaner, and safer. REQUIREMENTS: • Advanced Degree plus 3 years of experience, or Bachelor's Degree plus 5 years of experience in data science and machine learning • Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, or related quantitative field • Advanced proficiency in Python, R, and SQL for data analysis and modeling • Expertise in machine learning frameworks including scikit-learn, TensorFlow, and PyTorch , LLM , Agentic AI. • Strong knowledge of cloud platforms (AWS, Azure) and big data technologies (Spark, Databricks) • Experience with data visualization tools (Power BI, Tableau) and dashboard development • Proficiency in statistical analysis, experimental design, and hypothesis testing • Demonstrated ability to translate complex business problems into analytical solutions • Experience with ETL processes and data pipeline development • Knowledge of DevOps practices and version control systems (Git) • Strong communication skills for presenting technical concepts to non-technical stakeholders • Ability to work independently and collaboratively in a team environment • Experience with natural language processing (NLP) and deep learning preferred • Domain knowledge in life sciences, healthcare, or clinical research valued • Strong problem-solving skills and attention to detail • Excellent project management and organizational abilities • Willingness to stay current with emerging technologies and industry trends

• Work closely with Senior team members to learn the algorithms and data structures that power WeRoad's core products, translating business needs into clear goal metrics and cost functions that ensure every model is solving the right problem • Work with Data Engineers and ML Engineers to build production-ready pipelines, evaluate model performance, and monitor model decay, keeping our systems reliable and accurate as travelers' behavior evolves • Co-design, develop, and deploy ML models for clustering, classification, ranking & recommendation, and forecasting directly influencing trip conversion rates, unsold capacity, and which experience each traveler sees, and when • Explore and integrate LLM-based approaches where relevant, from semantic search and embedding-based recommendation to AI-assisted content understanding • Stay current with relevant literature, propose new approaches, and use AI tools actively to accelerate development and raise the quality of your output, bringing fresh ideas into WeRoad • Design and implement A/B tests with a solid statistical framework to validate hypotheses before full rollout

TWÓJ ZAKRES OBOWIĄZKÓW: - Analiza i kontrola danych pod kątem odchyleń od planu, przygotowywanie raportów i dokumentacji. - Ręczne wprowadzanie do ewidencji transakcji nie ujętych w procesach automatycznych. - Sprawdzanie poprawności i kompletności danych na podstawie standardów zdefiniowanych przez klienta. - Przygotowanie danych do zaprezentowania interesariuszom. - Kontrola poprawności działania narzędzi zautomatyzowanych, zgłaszanie błędów do wsparcia technicznego. CZEGO OCZEKUJEMY: - Wykształcenie w obszarze: analiza danych, matematyka, controlling lub pokrewne. - Doświadczenie w pracy z danymi finansowymi/produkcyjnymi mile widziane. - Dobra znajomość języka niemieckiego w mowie i w piśmie na poziomie B2 – warunek konieczny. - Dobra znajomość języka angielskiego w mowie i w piśmie na poziomie B1/B2 – warunek konieczny. - Proaktywne nastawienie i samodzielność po okresie wdrożenia. - Dokładność i rzetelność, koncentracja na szczegółach. - Zorientowanie na potrzeby klienta, profesjonalizm w kontaktach z interesariuszami. - Biegłe posługiwanie się programem Excel oraz minimum dobre PowerPoint, doświadczenie w pracy z JIRA, BM Cognos, SAP CO mile widziane. CO OFERUJEMY: - Możliwość pracy zdalnej z całej Polski. - Zdobycie doświadczenia w firmie o wysokich standardach pracy i inspirującym środowisku. - Niezbędne wsparcie i stabilne zatrudnienie.

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities - You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers. - You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques. - You will develop and implement data science strategies that drive measurable business results. - You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. - You will interact with clients from diverse domains, addressing their challenging problems. - You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space. - You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines. Job qualifications Technical Skills - You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. - You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc). - You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. - You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. - You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. - You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. - You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. - You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. - You are aware of data privacy regulations and ethical standards when handling sensitive information. Professional Skills - You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. - You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. - You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. - You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. - You enjoy influencing others and always advocate for technical excellence while being open to change when needed. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.