Data Scientist Strategic Analytics

Ulta Beauty • Bolingbrook, IL

75d • $102,900 - $120,000

About The Position

Experience the possibilities of our progressive, omnichannel approach to beauty retail. At Ulta Beauty, our Marketing team is applying the latest technologies to personalize the buying experience of true beauty enthusiasts-in ways that surprise and delight. Building love and loyalty, one communication, one experience, one brilliant idea at a time. We represent the perfect blend of strategy and creativity. Of tactics and analytics. To make Ulta Beauty a brand guests will advocate for. Growing share of heart. Delivering with disciplined consistency. Whether your deepest passion is for design or content, strategy or data, or some combination of all things marketing, Ulta Beauty will provide significant latitude to explore your talents and passions, with opportunities to stretch and deepen, to grow and build. Truly, the possibilities are beautiful.

Requirements

• 3+ years of professional experience in analytical functions, preferably for marketing analytics use cases
• Advanced degree preferred in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc.
• In-depth knowledge of statistical techniques and machine learning concepts (e.g., multivariate regression, statistical inference, Supervised- and unsupervised learning, etc.) and experience applying these to use cases
• Proven fluency in Python and scientific related frameworks (e.g., Scikit Learn, Numpy, SciPy etc.)
• Experience with SQL and related data access and analysis tools to mine data, identify insights, and extract features
• Hands-on experience with cloud computing platforms, preferably Google Cloud Platform
• Hands-on experience with designing, deploying, and maintaining machine learning pipelines
• Hands-on experience working with Databricks
• Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
• Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
• Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations
• View the 'big picture' and drive towards business results
• Comfort working in a dynamic, research-oriented team

Nice To Haves

• Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, MLflow, Jenkins, etc.)
• Experience working with customer-level data within Retail, e-commerce or related industries
• Experience developing and deploying deep learning and AI models in production environments
• Experience with Apache Spark (PySpark, and Spark ML)
• Experience with deep learning frameworks (e.g., Tensorflow, Torch, etc.)
• Knowledge of software development principles and architectures (Agile Software Development, etc.)
• Understanding of causal and uplift models

Responsibilities

• Design and develop advanced analytical models to optimize communication and operational tactics, while generating overall efficiencies across Ulta Beauty
• Research and implement new machine learning approaches and techniques to drive innovative analytical solutions that solve business problems and identify insights
• Explore our rich, omnichannel and customer data assets across our 45M+ Ultamate Rewards loyalty program members to construct analytical solutions for improving and personalizing Ulta Beauty guests' experiences
• Develop a strong partnership and collaboration with internal Ulta Beauty teams and external advertising partners, performing as a key partner who consults on how to attain business goals through advanced analytics
• Explain and present complex analytical approaches and model results in a concise manner to drive alignment and outcomes from business partners
• Assess and understand the cost/benefit relationship of developing and deploying learned models based on changing business needs
• Ensure data integrity and quality by leveraging proven methodologies, including data reconciliation, data integration and data audits
• Continue driving a data driven culture across Ulta Beauty and mentoring less experienced team members on AI/ML techniques and MLOps

Benefits

• The pay range for this position is $102,900.00 - $120,000.00 / Year
• Opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan
• Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits
• Part-time positions are eligible for dental, vision, life, and disability benefits

What This Job Offers

• Job Type: Full-time
• Industry: Health and Personal Care Retailers
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees