About Us:

We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.   

 

One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.

The Team The Digital Consumer Operations team is responsible for enabling best-in-class digital experiences across all DTC channels for Tommy Hilfiger and Calvin Klein. Within this team, the Consumer Analytics sub team delivers data-driven tools and capabilities that empower decision-making and optimize performance across media, eCommerce, and marketing. By integrating insights, automation, and scalable infrastructure, the team enhances consumer engagement and supports commercial growth in a fast-paced, omnichannel environment. The Position As E-commerce Data Scientist, you will leverage advanced analytics and data modeling techniques to uncover insights that drive commercial impact across PVH EMEA’s digital channels. Working within the wider Digital Consumer Analytics team and reporting into the eCommerce & Media Infrastructure lead, you will analyze consumer behavior, campaign performance, and on-site interactions to identify growth opportunities and support key business decisions. You will collaborate closely with digital marketing, product, media, and analytics stakeholders to build predictive models, segmentations, and test strategies that power smarter digital commerce experiences for Tommy Hilfiger and Calvin Klein. Key Responsibilities: Develop predictive models, segmentations, and data-driven recommendations to optimize eCommerce performance and media activation. Analyze large volumes of consumer, transaction, and behavioral data to identify trends, patterns, and performance drivers. Collaborate with cross-functional stakeholders to define analytical goals and translate them into actionable insights. Support A/B testing, experimentation frameworks, and conversion rate optimization strategies. Work closely with data engineers and analysts to access, transform, and validate datasets. Visualize and present findings to both technical and non-technical audiences in a clear and compelling way. Stay up to date with the latest data science methods, tools, and trends in eCommerce and digital marketing. Ensure high-quality documentation and reproducibility of models and analytical workflows. Note: Responsibilities include, but are not limited to, those listed above. The role may require additional tasks and duties as assigned to meet the needs of the department and organization. Measures of Success Delivery of data science models and insights that directly support commercial growth initiatives. Measurable impact on key performance indicators such as conversion rate, revenue per visitor, or campaign ROI. High stakeholder satisfaction with the clarity, actionability, and timeliness of analytics deliverables. Adoption of data-driven recommendations across product, media, and eCommerce teams. Development of repeatable and scalable analytical solutions to support business agility. Requirements Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2–4 years of experience as a data scientist or advanced analyst, preferably in an eCommerce or digital environment within (premium) fashion. Proficiency in Python or R for data analysis and modeling. Strong SQL skills and experience working with large-scale datasets and relational databases. Familiarity with machine learning techniques (e.g., clustering, regression, classification, recommendation engines). Experience with A/B testing, conversion optimization, or experimental design. Proficiency in data visualization tools (e.g., Tableau, Power BI, or Looker). Solid understanding of digital marketing metrics, funnel analytics, and customer behavior. Ability to translate complex findings into clear, business-relevant insights. Strong communication and presentation skills. Knowledge of cloud environments (e.g., GCP, AWS) and tools like BigQuery is a plus. Experience with Git, version control, and collaborative coding workflows. Detail-oriented with a focus on data quality, documentation, and reproducibility. Ability to work cross-functionally in a dynamic, fast-paced environment. Fluent in English; additional languages are a plus. Behaviors At PVH, how we act is as important as what we do. Here are some key behaviors we expect from our people: ENTERPRISE FIRST – we act in the best interests of PVH and its consumers beyond our own team, brand, region or market. DRIVE CHANGE – we lead by example and are optimistic about change. We challenge the status quo but fully commit once a decision is made. CREATE CLARITY – we are diligent in providing context and setting our priorities so we can be productive quickly. INSPIRE TRUST – we create safe spaces for debate and deliver on what we promise so people can learn to depend on us. TAKE ACCOUNTABILITY – we focus on work with the biggest business impact and give candid feedback to each other.

Your Wellbeing is Our Priority

In the heart of Amsterdam, PVH is home to the global headquarters of Tommy Hilfiger and the European offices of Calvin Klein.  

• Wellbeing: exclusive onsite gym and fitness classes, personal training, meditation studio, sports clubs, in-house physio, and receive access to our nutritional and wellbeing programs 

• Campus: extensive food and beverage offerings, top-notch restaurant, barista coffee bars, sky bar, monthly social events, weekly Thursday drinks, game nights, and campus-themed activities that will keep your social life busy 

• Develop your career: whether you lead a team or contribute your own expertise, everyone is a leader at PVH. PVH University curates and delivers training programs for you to continuously develop your professional and personal goals 

• Be at the forefront: stay closely connected to our brands, CALVIN KLEIN and TOMMY HILFIGER, and be a part of seasonal market launches, sample sales and receive employee discounts! 

Check out our Amsterdam Campus here.

PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.