Jostens · 10 hours ago
Data Scientist
Minneapolis, MN
Full-time
Hybrid
Mid Level
$80K/yr - $90K/yr
3+ years expJostens is a leader in the student commemoration market, serving local communities for over 125 years. They are seeking a Data Scientist to develop advanced analytic models to understand consumer behaviors and work with various business groups to provide insights and recommendations.
Consumer GoodsManufacturingRetail
Responsibilities
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 3 rd 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
Qualification
Required
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
Undergraduate degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or a relevant Engineering discipline
Understanding of big data principles and technologies with working knowledge of data integration using established methodologies and technologies
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
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
Preferred masters level degree in a quantitative discipline such as computer science, mathematics, machine learning, applied statistics or relevant engineering discipline
Continuous Integration and Delivery (CI/CD) experience, preferably in Snowflake/AWS environments
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
Benefits
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.
Company
Jostens
Jostens provides school related products in the United States.
1001-5000 employees
H1B Sponsorship
Jostens has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$640MKey Investors
Koch Equity Development
2024-11-12Private Equity· $450M
2024-11-12Debt Financing· $190M
2018-12-26Acquired
Leadership Team
Michael Burgess
Chief Executive Officer
Alejandro Montoya
Chief Financial Officer
Recent News
Company data provided by crunchbase