Data Scientist Hybrid

Description

Company Summary:

At Young Innovations, we foster a dynamic environment where team members make an impact every day as part of a collaborative, inclusive culture. Together, we serve the dental profession and their patients, united in our mission of achieving a Lifetime of Oral Health™

We embrace diverse perspectives and encourage bold thinking, challenging traditional approaches with a bias for action. Whether you’re looking to expand your skills or grow your career, Young is here to support your goals and continuous learning. At Young, YOU are at the core of what we do.

Position Overview:

The Data Scientist will drive adoption and implementation of artificial intelligence, machine learning, and strategic analytics within our global data Fabric environment. This Data Scientist is ideal for someone with a strong foundation in statistical analysis, machine learning, and natural language processing, particularly in the application and fine-tuning of Large Language Models (LLMs). This professional will bring expertise in correlation analysis, predictive modeling, and the ability to work with large, complex datasets to drive data-driven decision-making across the organization.

You’ll like this role if:

• You like building processes from the ground up
• Partnering across the business
• Wearing multiple hats in a face paced environment

Why You’ll Love Working Here:

• Medium sized company – not too big, not too small – just enough to get things done and see your impact.
• Did we say benefits? Full medical, dental, vision, 401k, parental leave, paid holidays, paid time off, and more!
• You will have the ability to create everything from the ground up and fully own this function.

Who you’ll work with:

• Stakeholders from all across the business – IT, Supply Chain, Finance, Marketing, and more.

What You’ll Do:

• AI/ML Development & Integration 
  • Integrate large language models (LLMs)—such as OpenAI, BERT, and LLaMA—into business processes and products to enable text summarization, classification, personalized recommendations, and conversational interfaces.
  • Build and optimize predictive models using advanced machine learning techniques to support forecasting, customer segmentation, retention strategies, fraud detection, and other high-impact business functions.
  • Stay up to date with advancements in AI/ML, NLP, and data analytics; proactively recommend new tools, frameworks, and best practices to enhance capabilities.
• Statistical & Analytical Modeling
  • Perform statistical analyses to uncover correlations and causal relationships across structured and unstructured data, identifying key drivers of business performance and emerging trends.
  • Develop customer segmentation frameworks by analyzing behavioral, transactional, and demographic data to support personalized marketing and engagement initiatives.
  • Translate complex results into clear, actionable insights through dashboards, visualizations, and reports for both technical and non-technical audiences.
  • Leverage large-scale datasets (e.g., customer interactions, transaction records) using distributed computing and modern data platforms to support data-driven decision-making.
• Cross Functional & Strategic Collaboration
  • Partner with Product, Marketing, Commercial, Customer Service, Finance, and Operations teams to understand analytical needs and deliver impactful solutions.
  • Support enterprise-wide initiatives, including M&A data integration and other strategic analytics projects.

Qualifications

What You’ll Bring:

• Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field;
• Masters, MBA and/or PhD a plus
• 3+ years of professional experience in data science, analytics, or machine learning roles
• Hands-on experience working with and implementing Large Language Models (LLMs) and NLP techniques
• Experience working in a private equity is a plus

Technical Skills

• Strong foundation in statistical analysis and predictive modeling, including correlation analysis, hypothesis testing, regression, classifications, and time-series forecasting using tools like Phython (SciPy, statsmodels), R, or SaaS
• Experience working with large datasets and data warehouses using SQL and cloud platforms (i.e. AWS, GCP, Azure)
• Strong proficiency in Python and experience with ML frameworks (ie. PyTorch, TensorFlow)

The pay range reflects the minimum and maximum target for the position at the time of posting. Within the range, the compensation will be determined based on education/training, skill set, experience, and other organizational needs.

Physical Requirements/Working Locations:

Hybrid Environment

This position follows a hybrid work model, combining both remote and in-office responsibilities. Employees in this role are expected to work from a designated office location on scheduled days each week, while completing the remainder of their work remotely from a home office or approved location. This structure is designed to balance flexibility with in-person collaboration, allowing for team engagement, meetings, and on-site support when needed. Candidates should have the ability to maintain a reliable remote work setup, as well as the flexibility to commute to the office as required. Success in this role requires strong communication, time management, and the ability to seamlessly transition between remote and in-office work environments.

Young Innovations, Inc. is an Equal Opportunity Employer and E-Verify participating employer.