Senior Data Scientist

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    "description": "<h2>Overview</h2>\n<p>The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.</p>\n<p> </p>\n<p><strong>Life at Parkhill </strong></p>\n<p>At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers — we are neighbors who choose to live and work in the communities we serve.   </p>\n<p> </p>\n<p>Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you.  </p>\n<p> </p>\n<p>Parkhill is one of the largest architectural and engineering firms in the Southwest with 14 offices located throughout Texas, New Mexico, and Oklahoma. </p>\n<h2>Responsibilities</h2>\n<ul>\n <li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li>\n <li>Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.</li>\n <li>Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.</li>\n <li>Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.</li>\n <li>Apply AI and machine learning methods, including generative AI, to support data and AI use cases.</li>\n <li>Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.</li>\n <li>Contribute to the growth of Parkhill’s data science capabilities.</li>\n <li>Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.</li>\n</ul>\n<h2>Qualifications</h2>\n<ul>\n <li>Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field</li>\n <li>7+ years in data science, analytics, or AI roles</li>\n <li>Experience with AEC, engineering, or consulting environments</li>\n <li>Strong proficiency in Python or R, including relevant ML libraries</li>\n <li>Expertise in SQL and experience with data visualization tools (Power BI, Tableau)</li>\n <li>Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment</li>\n <li>Experience with generative AI frameworks</li>\n</ul>\n<p><strong>Benefits and Perks</strong></p>\n<p>We offer a comprehensive benefits program that supports the whole person. Our benefits include: </p>\n<ul>\n <li><p>Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.  </p></li>\n <li><p>Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.  </p></li>\n <li><p>Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.     </p></li>\n</ul>",
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