• Advance our recommendation and personalization logic by designing and validating new statistical approaches - from improved segmentation models and engagement scoring to causal uplift estimation and multi-touch attribution. • Own the experimentation framework for the team: design rigorous A/B and multivariate tests, develop methodologies to handle complex measurement challenges (novelty effects, interference, long-term effects), and ensure results are interpreted correctly. • Tackle complex analytical problems that require going beyond descriptive statistics - building predictive models, running causal inference analyses, and decomposing metric movements into their drivers. • Partner closely with the Senior Analyst to turn user journey insights into statistically grounded targeting and personalization strategies. • Collaborate with the ML Engineering Data Scientist to ensure that statistical models and experimental findings can be produced and integrated into the recommendation engine. • Define and refine the metrics and success criteria used to evaluate personalization quality, ensuring we measure what actually matters for users and for the business. • Own the offline evaluation framework: build and maintain counterfactual evaluation methods, replay-based policy estimation, and offline screening pipelines that let the team assess 10 ideas offline for every 1 tested live - dramatically accelerating iteration speed. • Map and measure the interplay between editorial rules and personalization logic - systematically investigating when and how rules like hardcoded IP placements, content diversity constraints, or curated onboarding slots interact with ML-optimized recommendations, and designing experiments to quantify the trade-off. • Communicate complex statistical findings clearly and confidently to non-technical stakeholders, and advocate for methodological rigor across the team.

• Own the production recommendation infrastructure: maintain and improve the systems that serve personalized content to millions of users, ensuring reliability, low latency, and scalability as the catalog and user base grow. • Research and prototype advanced recommendation algorithms: explore newer approaches - deep learning-based models, contextual bandits, session-based recommendations, graph-based methods - evaluate their potential, and run controlled experiments to validate uplift before production. • Produce ML models and pipelines: take prototypes (from yourself or from the team's Data Scientist) and turn them into production-grade, monitored, maintainable features integrated into the live recommendation engine. • Design scalable infrastructure: anticipate bottlenecks and design systems that can handle larger catalogs, more complex segmentations, and higher traffic - including serving layer optimization, caching strategies, and pipeline orchestration. • Build and maintain data pipelines in DBT and Databricks, ensuring clean transformations, data quality, and robust experimentation frameworks that the team can rely on. • Monitor model health in production: define retraining strategies, detect drift, and ensure recommendation quality is measured and maintained over time. • Collaborate closely with the Data Scientist and Senior Analyst to translate statistical insights and business requirements into engineering decisions.

The Opportunity: Profil poszukiwanej osoby Avantor poszukuje osoby do zespołu Global Payroll, odpowiedzialnej za wsparcie w zapewnianiu terminowej, zgodnej i precyzyjnej obsługi procesów płacowych na rynkach europejskich. Stanowisko przeznaczone jest dla osób zainteresowanych pracą z danymi, dokładnością i doskonaleniem procesów w środowisku międzynarodowym. Wymagania - Minimum 3 lata doświadczenia w obszarze europejskich procesów płacowych. - Doświadczenie we współpracy z zewnętrznymi dostawcami usług płacowych (np. ADP, Safeguard). - Umiejętność analizy danych płacowych oraz pracy z dużymi zestawami danych. - Bardzo dobra organizacja pracy, wysoka dbałość o szczegóły oraz samodzielność. - Rozwinięte kompetencje interpersonalne oraz nastawienie na współpracę. - Znajomość języka angielskiego na poziomie minimum C1 (w mowie i piśmie). - Zaawansowana znajomość programu Excel. Mile widziane: - Certyfikacja z zakresu payroll lub międzynarodowych procesów płacowych. - Doświadczenie w pracy z Workday, w tym z integracjami PECI. - Znajomość dodatkowych języków obcych. - Umiejętność funkcjonowania w dynamicznym środowisku i przy zmieniających się priorytetach. Zakres obowiązków - Zapewnianie terminowej i prawidłowej realizacji listy płac zgodnie z lokalnymi regulacjami oraz polityką Avantor. - Weryfikowanie wyników procesów płacowych, w tym raportów „gross-to-net”, analiz odchyleń, plików płatniczych oraz deklaracji ustawowych. - Przygotowywanie i uzgadnianie zapisów księgowych w ramach miesięcznych zamknięć oraz współpraca z działem finansów. - Realizowanie płatności pozacyklicznych, takich jak wypłaty końcowe, premie czy prowizje. - Obsługa zapytań dotyczących obszaru płac od pracowników, zespołów HR, przełożonych oraz instytucji zewnętrznych. - Monitorowanie zmian w lokalnych przepisach oraz współpraca z dostawcami usług payrollowych w zakresie zapewniania zgodności. - Przygotowywanie cyklicznych raportów płacowych (miesięcznych, kwartalnych, rocznych). - Utrzymywanie aktualnej dokumentacji procesowej. - Wsparcie podczas audytów wewnętrznych i zewnętrznych. - Zapewnianie poufności przetwarzanych danych oraz zgodności z politykami ochrony informacji. Co oferujemy - Umowa o pracę - Kartę Medicover Sport oraz pakiet medyczny Lux Med — z możliwością objęcia członków rodziny. - Ubezpieczenie grupowe na atrakcyjnych warunkach. - Świadczenia z Funduszu Socjalnego. - Program poleceń pracowniczych (nagroda po zakończeniu okresu próbnego osoby poleconej). - Bezpłatny dostęp do kawomatów i bufetu do określonego miesięcznego limitu. - Bezpłatny parking i dogodne połączenia komunikacją miejską. - Możliwość rozwoju zawodowego w globalnych strukturach Avantor oraz udział w projektach o międzynarodowym zasięgu. #LI-Remote Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. 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The Scientific Curation Team at SciBite-Elsevier is fundamental to our Software Solutions. The team manages high quality ontologies and produces curated vocabularies which feed into our technology stack. We also work with teams across Elsevier to deliver training, content and innovative solutions to our customers to support their Scientific discoveries. As a SciBite-Elsevier curator, you will be integral in creating content, and helping solve key challenges for our Life-Science customers. Key Responsibilities: · Working to deliver exceptional customer support. The successful candidate will work with teams across Elsevier and partner companies to deliver bespoke customer solutions. · Updating and continual improvement of SciBite’s key scientific content. · Organizing the ontology pipeline to deliver ontologies into the heart of SciBite tools, for the Life Sciences and beyond. · Demonstrating and training customers on use of SciBite tools. · Writing blogs, reports and papers, and giving presentations at public meetings and workshops. · Developing SOPs, and devising and implementing key curation workflow improvements Qualifications/Skills/Experience: · PhD or MSc in a Life Sciences subject · Strong interpersonal skills, and confident in representing Elsevier at customer and public meetings · Experience of building and working with biomedical ontologies · Experience curating biological/clinical data within a pharma/drug discovery/life sciences environment
 · Familiarity with major bio and chemo-informatics public databases and ontologies · Bring the right ‘Can Do’ approach to fit our company culture · Experience of working independently and under pressure · Ability to identify problems and apply creative solutions · Excellent written, verbal and presentation skills Additionally, any experience in the following would be advantageous: · Experience in customer-facing or Professional Services roles · A scripting language such as Python, accessing RESTful APIs, use of regular expression · Using Git/GitHub · Exposure to text-analytics and text-mining and an understanding of how these can aid drug discovery and development · Interest in Machine Learning / AI We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.