Principal Data Scientist - New Restaurants

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    "@type": "JobPosting",
    "title": "Principal Data Scientist - New Restaurants",
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    "datePosted": "2026-03-19T18:52:00+0000",
    "description": "<strong class=\"jdheading\">How We Work At Chick-fil-A</strong><br><br>Chick-fil-A,  Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills,  fostering inclusive teamwork,  and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly,  we ask Staff to seek wisdom,  expect the best,  accept responsibility,  respond with courage,  and think others first. <br><br> Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually,  strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. <br><div></div><strong class=\"jdheading\">Overview</strong><br><br><p><span style=\"font-size: 10pt; font-family: verdana, geneva;\">The Principal Data Scientist is a senior individual contributor responsible for defining and leading advanced analytical approaches to complex and ambiguous business problems. This role shapes modeling strategy and technical direction for high-impact analytics initiatives, primarily supporting Restaurant Development while influencing broader enterprise analytics capabilities. </span></p><p><br /><span style=\"font-size: 10pt; font-family: verdana, geneva;\">The role is responsible not only for building models but also for framing analytical problems, defining modeling approaches, and establishing reusable analytical patterns that other data scientists can build upon. The Principal Data Scientist works closely with cross‑functional partners including business stakeholders, data engineers, analysts, and product teams to translate large and complex problems into actionable insights.</span></p><p><br /><span style=\"font-size: 10pt; font-family: verdana, geneva;\">The ideal candidate combines deep expertise in statistical modeling, machine learning, and data analysis with strong problem‑solving and communication skills. This role contributes to high‑impact analytical initiatives and helps elevate analytical practices within project teams while remaining primarily focused on hands‑on modeling and technical delivery.</span></p> <br><strong class=\"jdheading\">Responsibilities</strong><br><br><p><strong><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Responsibilities – Advanced Analytics & Modeling</span></strong></p><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Define modeling approaches and analytical frameworks for complex or ambiguous problems where established solutions do not yet exist.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Apply predictive modeling, forecasting, classification, clustering, and other advanced analytics techniques to large datasets.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Explore and integrate diverse data sources including transactional, behavioral, demographic, geospatial, and operational data.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Build and validate models using best practices for feature engineering, experimentation, and model evaluation.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Translate analytical findings into clear insights and recommendations for business stakeholders.</span></li></ul><p> </p><p><strong><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Responsibilities – Technical Contribution</span></strong></p><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Develop production‑ready analytical models and support their integration into data platforms and business workflows.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Identify modeling risks early, including bias, data limitations, drift, and statistical assumptions that could impact model validity.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Collaborate with data engineers and analytics teams to ensure data quality, model reliability, and scalable implementation.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Contribute to the development of reusable analytical frameworks, code libraries, and modeling workflows.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Support the evaluation and selection of appropriate analytical techniques and tools for specific use cases.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Document analytical approaches, model assumptions, and results to ensure reproducibility and transparency.</span></li></ul><p> </p><p><strong><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Responsibilities – Cross‑Functional Collaboration</span></strong></p><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Partner with business stakeholders to understand analytical needs and translate business questions into data science solutions.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Communicate complex analytical results in a clear and concise manner to both technical and non‑technical audiences.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Contribute to cross‑functional analytics initiatives and collaborate with engineering, product, and analytics teams.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Provide guidance and knowledge sharing on modeling approaches and analytical methods within project teams.</span></li></ul> <br><strong class=\"jdheading\">Required Qualifications (Knowledge, Skills, & Abilities)</strong><br><br><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">6+ years of experience in data science, machine learning, or advanced analytics.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Strong understanding of statistical modeling, machine learning algorithms, and predictive analytics.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Proficiency in Python and SQL for data analysis and model development.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Experience working with large datasets and modern data platforms.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Strong problem‑solving, analytical thinking, and communication skills.</span></li></ul> <br><strong class=\"jdheading\">Preferred Qualifications (Knowledge, Skills, & Abilities)</strong><br><br><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">8+ years of experience in data science, machine learning, or advanced analytics.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Experience with distributed data processing frameworks such as Spark.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Exposure to cloud‑based analytics platforms such as AWS, Azure, or GCP.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Experience applying advanced analytics techniques such as geospatial analysis, optimization, or network modeling.</span></li></ul> <br><strong class=\"jdheading2\">Required Years of Experience</strong><br><br>6 <br><div></div><strong class=\"jdheading2\">Preferred Years of Experience</strong><br><br>8 <br><div></div><strong class=\"jdheading2\">Travel Requirements</strong><br><br>10% <br><div></div><strong class=\"jdheading2\">Required Level of Education</strong><br><br>Bachelor's degree or equivalent experience <br><div></div><strong class=\"jdheading2\">Preferred Level of Education</strong><br><br>Master's Degree <br><div></div><strong class=\"jdheading2\">Required Major/Concentration</strong><br><br>Statistics, Computer Science, Applied Mathematics, Data Science, Engineering, or a related quantitative field. <br><div></div><strong class=\"jdheading2\">Relocation Assistance Provided</strong><br><br>No<br><br><p><strong><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Responsibilities &ndash; Advanced Analytics & Modeling</span></strong></p><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Define modeling approaches and analytical frameworks for complex or ambiguous problems where established solutions do not yet exist.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Apply predictive modeling, forecasting, classification, clustering, and other advanced analytics techniques to large datasets.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Explore and integrate diverse data sources including transactional, behavioral, demographic, geospatial, and operational data.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Build and validate models using best practices for feature engineering, experimentation, and model evaluation.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Translate analytical findings into clear insights and recommendations for business stakeholders.</span></li></ul><p> </p><p><strong><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Responsibilities &ndash; Technical Contribution</span></strong></p><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Develop production‑ready analytical models and support their integration into data platforms and business workflows.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Identify modeling risks early, including bias, data limitations, drift, and statistical assumptions that could impact model validity.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Collaborate with data engineers and analytics teams to ensure data quality, model reliability, and scalable implementation.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Contribute to the development of reusable analytical frameworks, code libraries, and modeling workflows.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Support the evaluation and selection of appropriate analytical techniques and tools for specific use cases.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Document analytical approaches, model assumptions, and results to ensure reproducibility and transparency.</span></li></ul><p> </p><p><strong><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Responsibilities &ndash; Cross‑Functional Collaboration</span></strong></p><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Partner with business stakeholders to understand analytical needs and translate business questions into data science solutions.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Communicate complex analytical results in a clear and concise manner to both technical and non‑technical audiences.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Contribute to cross‑functional analytics initiatives and collaborate with engineering, product, and analytics teams.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Provide guidance and knowledge sharing on modeling approaches and analytical methods within project teams.</span></li></ul><br><br><ul><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">6+ years of experience in data science, machine learning, or advanced analytics.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Strong understanding of statistical modeling, machine learning algorithms, and predictive analytics.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Proficiency in Python and SQL for data analysis and model development.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Experience working with large datasets and modern data platforms.</span></li><li><span style=\"font-size: 10pt; font-family: verdana, geneva;\">Strong problem‑solving, analytical thinking, and communication skills.</span></li></ul>",
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