Data Scientist Experimentation

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Data Scientist Adyen is looking for a Senior Data Scientist with deep expertise in statistical hypothesis testing, experimental design, and quantitative research methods to join the Experimentation Platform team in Amsterdam. We want to significantly increase the breadth of Experimentation at Adyen and that requires cutting-edge statistics. You will help to research and implement innovative hypothesis testing approaches that drive experimentation at industry-leading scale. You will also work with a diverse set of users, advocating and mentoring on best practices in experimental design, interpretation of results, and evidence-based decision-making. In this role, you will:  * Research and implement industry-leading statistical methods to provide robust statistical signals across multiple business domains and contexts, optimising for time-to-signal and experiment quality; * Develop and apply a deep knowledge of Adyen’s specific domain context in order to prioritise statistical methodologies and approaches that maximise business value; * Stay up-to-date with the latest research and developments in statistical hypothesis testing; * Collaborate closely with your multi-disciplinary team of backend/frontend/data engineers to help scope and define requirements for new platform features, ensuring statistical methods are integrated appropriately; * Collaborate with data scientists across Adyen to identify opportunities for the novel application of statistical and data science techniques to challenging problems; * Work closely with platform users to provide guidance and enable them for success; promoting experiment-driven culture and product development practices. Who You Are: * You have 5+ years of experience as a data scientist, including 2+ years working on an experimentation platform (or similar); * You have a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field; * You have a strong theoretical understanding of advanced frequentist and Bayesian hypothesis testing (e.g. sequential testing, e-processes, etc) as well as causal inference techniques and a proven track record of implementing such methods at scale; * You have experience designing and analysing controlled experiments in an applied setting to provide tangible business outcomes; * You have experience leveraging a big data framework to create the pipelines needed to gather experiment data; * You have a strong understanding of software engineering practices as well as data engineering principles; * You have strong familiarity with the standard data science toolkit, such as (py)spark, Pandas, SciPy, numpy, and Airflow; * You have an experimental mindset with a launch fast and iterate mentality; * You have proven experience in leading projects from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.   This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Polarsteps

YOUR EXPEDITION AT POLARSTEPS - DATA SCIENCE Over the past 10 years, Polarsteps has grown massively through word-of-mouth, thanks to our product and tech department building a top-quality user experience for all our travelers. As our data scientist you will sit within the Growth & Marketing department of the organization. You will help shape Polarsteps growth strategy by analyzing our constraints, developing models, and measuring the impact of product, growth and business initiatives. Partnering with the Head of Growth, you’ll turn data into strategies that guide prioritization of new initiatives and accelerate insights for our product teams. You’ll collaborate with our cross-functional teams of product, marketing and designers to scale insights and drive efficient growth. With 20M+ users and ratings of 4.8 and 4.7 on the app stores and features in multiple Google and Apple showcases, we've got an impressive past. But we’re even more excited for the future, and you’ll play a crucial role in the growth and direction of Polarsteps as we grow to 100M+ users around the globe. YOUR ITINERARY What your journey at Polarsteps will look like day-to-day. * Develop data-driven strategies to drive the growth of Polarsteps users in our key marktes * Apply statistical methods to deep-dive and breaking down changes to find/understand causal relationships to help inform business decisions. * Build, monitor and sustain scalable dashboards to track our growth, engagement and monetization metrics. * Communicate to the organization as a whole about growth metrics to help them understand what’s working and what isn’t and help them understand how to drive up MAUs * Contribute to quarterly and yearly planning through growth modellingen and impact forecasting. * Collaborate closely with our product managers, growth and marketing department to understand growth drivers and guide strategic decisions. * Present insights and recommendations to senior stakeholders, influencing the course of our business * Support our senior management team with reporting to external parties (current and prospective investors) THE EQUIPMENT IN YOUR BACKPACK What we’re hoping you’ll bring with you. ✅ 5+ years analyzing insights from data using tools such as Python/R and SQL. ✅ Hands-on experience supporting B2C Mobile app organizations with their growth strategy ✅ Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data ✅ Worked with product analytics and reporting tools (e.g., Mixpanel, Amplitude, Appsflyer, Adjust, Looker, Meta Base etc.). ✅ Have a background in Economics/Business, Computer Science, Statistics, Engineering or other relevant field. ✅ Excellent communication skills, both written and verbal, with the ability to present analyses and insights in clear, impactful formats. 1ST CLASS POLARSTEPS EXTRAS Some cool things to make the journey extra sweet. * A yearly free flight or train ride to a random location! Give our Teleporter a spin here. * A shiny MacBook to work your magic on. * Hybrid working, our way. Work from home and the office, we ask everyone to be in the office 2 days a week. It’s how we stay flexible, focused, and meaningfully connected in person. * An extensive home office set-up, everything from noise-canceling headphones to a standing desk. * 30 days of vacation (for adventures or sitting on the couch, it's up to you). * Two paid Culture Days for days that are important to you but not recognized by the official Dutch calendar. * The option to switch up your zoom background by working from another country for up to 8 weeks a year. * A personal development budget for that curious mind of yours! * A pension plan to help you save for those around-the-world retirement trips. * Delicious daily team lunches. * Awesome monthly parties, as well as team trips away. * A lively office in downtown Amsterdam, with travel costs reimbursed. * Free Polarsteps Travel Books to contain all your far-flung adventures. At Polarsteps, we believe the best products are built by people as diverse as the travelers using our apps! That's why we specifically encourage people underrepresented in the tech industry to apply for a role with us. Because we believe that diversity, be it age, race, sexual orientation, physical ability, ethnicity, or gender identity, makes both the world and the workplace better. Think this is the path for you? Find out more about how we hire.

Cradle

THIS IS CRADLE Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia. We're an experienced team of just over 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues. We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities. WHAT WE'RE LOOKING FOR We are looking for a (Senior) Scientist to join our Large Libraries team and drive the development of novel high-throughput screening capabilities. In this role, you will work on developing novel methods to screen protein variant libraries (e.g. antibodies) that complement our existing yeast display and FACS capabilities. You will push beyond established protocols and develop methods to interrogate vast sequence-function landscapes, generating massive-scale datasets with >10^6 data points. These datasets will power the Cradle AI/ML platform models, strengthening design recommendations, accelerating protein optimization, and deepening our understanding of protein performance. Over time, your efforts will enable our customers to engineer better proteins, faster across biotechnology applications. RESPONSIBILITIES Method Development & Execution * Develop and optimize cutting edge workflows for high-throughput protein library screening and characterization, exceeding 10^6 data points * Build and optimize in vitro and cell-based assay pipelines across multiple display and screening modalities * Design, build, and execute experimental frameworks for library construction, screening, and data generation at scale * Establish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization Technical Leadership * Drive and lead projects from experimental design through data delivery * Identify opportunities to improve throughput, data quality, repeatability, and workflow efficiency. * Collaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions. Cross-functional Collaboration * Partner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline. * Communicate results, insights, and technical challenges effectively across disciplines. * Contribute to shaping the scientific direction of the Large Libraries team and meaningfully contribute to the advancement of the Cradle platform. YOUR BACKGROUND Missing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. In the application form you will have a chance to spark our curiosity by telling us something groundbreaking you have worked on. * PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field. * Demonstrated creativity in method development: you have invented or substantially adapted workflows, not just executed established ones. * Excitement to learn, contribute, and drive innovation in an early stage startup environment. Be comfortable with ambiguity and a fast paced environment. * Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment. * Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized. NICE-TO-HAVES Experience with one or more of the following would be an advantage: * Large-scale DNA library construction methodologies (>10^6 variants) * Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display) * Flow cytometry and FACS * Next-generation sequencing library preparation, QC, and bioinformatic analysis tools (Illumina, Nanopore, PacBio). * Experience with statistically rigorous experimental design and data quality assessment * High-throughput data analysis or familiarity with scripting languages (Python, R) * Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers) Learning more about the BioEngineering team We're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1, link 2) or watch our webinar on lab automation. OUR COMMITMENT TO INCLUSIVE HIRING Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply. AI DISCLOSURE Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team. A NOTICE ABOUT RECRUITMENT SCAMS Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.