Data Scientist Application Deadline: 30 July 2025 Department: Data and AI Employment Type: Full Time Location: Dallas, Texas Description As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities * Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. * Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. * Strong programming skills in Python or PySpark. * Solid understanding of supervised + unsupervised learning algorithms and concepts. * Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. * Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. * Outstanding verbal and written communication skills. * Excellent presentation and whiteboarding skills. * Experience communicating highly technical concepts to non-technical audiences. * Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise * Bachelor's degree in computer science or related field * Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. * AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior consulting and business development experience a plus. Benefits * A culture that both wows our customers and employees; * Variety of challenging projects, and the ability to work with leading-edge technologies; * Competitive salary & group benefits; * Generous training and education opportunities; * Diverse team social events; * Be part of a team that believes in diversity, inclusion, and a fun atmosphere!