DATA SCIENTIST
ABOUT YOU:
This role is a member of the Data Science team, which is focused on developing advanced analytic models to understand consumer behaviors. The incumbent works directly with various business groups across the organization (Yearbook, Scholastic and College) to understand needs for advanced analytics and insights and recommend solutions to those needs.
YOU WILL:
- Support. Develop presentations around insights and tell compelling stories with the data, deliver results to constituents at different levels: strategic, tactical, operational and across business units (Yearbook, Scholastic, College).
- Update and Maintain. Integrate and prepare large, varied datasets, both internal consumer behaviors as well as external and 3rd party data sources such as consumer demographics, to gain a holistic understanding of consumer behaviors and preferences.
- Develop. Build and maintain predictive and machine learning models by using techniques such as logistic regression, gradient boosted trees, random forest and recurrent neural networks. Build and maintain unsupervised learning algorithms such as consumer segmentations using techniques such as k-means and KNN. Create and maintain recommender systems such as next best action, product affinities, likeliness of upsell at checkout, etc. Develop and maintain systems to continuously monitor model performance, such as model and feature drift.
- Advise. Oversee the implementation of the models into production AWS/Snowflake environments – ensure models are scoring properly.
- Strengthen. Analyze complex consumer data such as purchase transactions, demographic/psychographics, website behavior and email marketing data. Dig beneath the surface of a problem to ascertain the “Why” in the backend data, uncover the true reasons data patterns and skews may be showing up, and convert those findings into clearly understandable, data-backed recommendations, to influence future member engagement strategies.
- Help. Recommend campaign test designs and experiments to test hypotheses, such as A/B testing, champion/challenger testing, etc. Collaborate with the data engineering team to gather the right data from the right systems, as well as make recommendations for continuous data improvement and cleanliness pipelines.
- Typical/expected % of overnight travel. None to Minimal.
YOU HAVE:
- Experience. At least 3 years’ relevant experience, including, but not limited to: Statistical modelling and advanced machine learning techniques, including supervised and unsupervised methods, experience in cloud-based ML/AI technologies – preferably in the Snowflake and AWS environments, programming experience in Python and/or R (both preferred) and SQL, experience using big data (billion+ rows) across numerous systems and platforms, specifically in spotting and fixing standard data anomalies seen at this scale, experience in presenting & communicating complex projects to non-technical teams.
- Education. Undergraduate degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or a relevant Engineering discipline. Preferred masters level degree in a quantitative discipline such as computer science, mathematics, machine learning, applied statistics or relevant engineering discipline.
- Technical Skills. Understanding of big data principles and technologies with working knowledge of data integration using established methodologies and technologies.
- Attention to Detail. Ability to balance hands-on coding and modelling (existing and new models) on a frequent basis with being able to summarize findings and present insights to non-technical teams. Continuous Integration and Delivery (CI/CD) experience, preferably in Snowflake/AWS environments.
- Collaboration & Drive. Team player with a collaborative mindset, always prioritizing impact for the business. Innovative mindset – relentless curiosity of big data and its ability to predict consumer behavior. Preferred experience in a retail setting and familiar with typical advanced analytic algorithms used, such as consumer segmentation, consumer lifetime value, propensity to purchase models and recommendation engines.
LOVE WHERE YOU WORK:
We care about your health. We offer competitive healthcare (health, dental, vision, coverage) in addition to voluntary benefits including home and car insurance, pet insurance, flexible spending account, amongst many more.
We invest in your future. Our 401K plan has immediate vesting, so you can start saving for retirement right away.
We believe in flexibility. We offer a hybrid schedule with on-site work 3 days a week.
We want you to unplug when needed. We believe in taking your time off without guilt and offer accrued paid time off and company paid holidays. *For Washington residents, you will receive 13 vacation days, 8 paid sick leave, 8 company paid holidays, and family paid leave.
We care about your development. We support tuition reimbursement after 6 months of service.
We believe in pay transparency. The salary range is $80,000 to $90,000 with annual bonus eligibility.
APPLICATION DEADLINE: October 31, 2025
ABOUT US:
Jostens leads the student commemoration market and has been serving local communities for over 125 years. We work with thousands of K-12 schools, colleges and universities each year, and have the honor of partnering with beloved sports teams and esteemed organizations across the country. Our iconic products — like yearbooks, letter jackets, class jewelry and championship rings — keep meaningful traditions alive and inspire millions of people to celebrate their unique stories, milestone moments and biggest accomplishments every year. We have 13 first-class facilities across the globe, from North America to the Caribbean. Watch a short video about us here.
ALL ABOUT TECHNOLOGY:
Our Technology organization combines planning, analysis, and development in combination with both enterprise retail and manufacturing platforms as well as custom development using primarily Java, web services, and web application frameworks like ReactJS/NodeJS. The Technology organization manages priorities through a centralized quarterly planning in close collaborative with business decision-making and strategy, directly supporting leadership in Marketing, Sales, Digital & Operations. Delivery is managed through typically an agile, two-week scrum or Kanban methodology leveraging a suite of Atlassian products. The Technology teams are structured organizationally to focus on key platforms and the business units that they. Though the utilization of best-in-class technical software, such as AWS, Tableau, SAP BPC, Oracle EBS, Salesforce, & Microsoft 360, you will get to play a critical role in determining technology solutions that steer our business. Jostens allows for a hybrid work setting that focuses on creating professional and personal development. We can’t wait to show you what our Technology Team has to offer at Jostens!
AMERICANS WITH DISABILITIES ACT (ADA):
Jostens is committed to the full inclusion of all qualified individuals. If reasonable accommodation is required to fully participate in the job application or interview process, or to perform the essential functions of the position, please reach out to our HR team at recruiter@jostens.com or (952) 830-3300.
Jostens is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.
California Privacy Policy: https://www.jostens.com/about/california-employee-privacy-policy
