Data Scientist (38948)

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    "description": "<p style=\"text-align:justify\"><strong>Company Summary:</strong></p>\n\n<p>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&trade;</p>\n\n<p>We embrace diverse perspectives and encourage bold thinking, challenging traditional approaches with a bias for action. Whether you&rsquo;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.</p>\n\n<p><strong>Position Overview:</strong></p>\n\n<p>The Data Scientist will drive adoption and implementation of artificial intelligence, machine learning, and strategic analytics within our global data Fabric environment.&nbsp;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.</p>\n\n<p><strong>You&rsquo;ll like this role if:</strong></p>\n\n<ul>\n\t<li>You like building processes from the ground up</li>\n\t<li>Partnering across the business</li>\n\t<li>Wearing multiple hats in a face paced environment</li>\n</ul>\n\n<p><strong>Why You&rsquo;ll Love Working Here:</strong></p>\n\n<ul>\n\t<li><span dir=\"ltr\" lang=\"EN\">Medium sized company &ndash; not too big, not too small &ndash; just enough to get things done and see your impact.</span></li>\n\t<li><span dir=\"ltr\" lang=\"EN\">Did we say benefits? Full medical, dental, vision, 401k, parental leave, paid holidays, paid time off, and more! </span></li>\n\t<li><span dir=\"ltr\" lang=\"EN\">You will have the ability to create everything from the ground up and fully own this function. </span></li>\n</ul>\n\n<p><strong>Who you&rsquo;ll work with:</strong></p>\n\n<ul>\n\t<li>Stakeholders from all across the business &ndash; IT, Supply Chain, Finance, Marketing, and more.</li>\n</ul>\n\n<p><strong>What You&rsquo;ll Do: </strong></p>\n\n<ul>\n\t<li><strong>AI/ML Development &amp; Integration&nbsp;</strong>\n\n\t<ul>\n\t\t<li>Integrate large language models (LLMs)&mdash;such as OpenAI, BERT, and LLaMA&mdash;into business processes and products to enable text summarization, classification, personalized recommendations, and conversational interfaces.</li>\n\t\t<li>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.</li>\n\t\t<li>Stay up to date with advancements in AI/ML, NLP, and data analytics; proactively recommend new tools, frameworks, and best practices to enhance capabilities.</li>\n\t</ul>\n\t</li>\n\t<li><strong>Statistical &amp; Analytical Modeling</strong>\n\t<ul>\n\t\t<li>Perform statistical analyses to uncover correlations and causal relationships across structured and unstructured data, identifying key drivers of business performance and emerging trends.</li>\n\t\t<li>Develop customer segmentation frameworks by analyzing behavioral, transactional, and demographic data to support personalized marketing and engagement initiatives.</li>\n\t\t<li>Translate complex results into clear, actionable insights through dashboards, visualizations, and reports for both technical and non-technical audiences.</li>\n\t\t<li>Leverage large-scale datasets (e.g., customer interactions, transaction records) using distributed computing and modern data platforms to support data-driven decision-making.</li>\n\t</ul>\n\t</li>\n\t<li><strong>Cross Functional &amp; Strategic Collaboration</strong>\n\t<ul>\n\t\t<li>Partner with Product, Marketing, Commercial, Customer Service, Finance, and Operations teams to understand analytical needs and deliver impactful solutions.</li>\n\t\t<li>Support enterprise-wide initiatives, including M&amp;A data integration and other strategic analytics projects.</li>\n\t</ul>\n\t</li>\n</ul>\n",
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