<p>Job Title: Data Scientist (with Data Engineering Expertise)</p><p>Location: Atlanta GA</p><p>Hybrid 3 days onsite</p><p><br></p><p>Overview</p><p>We are looking for a highly motivated and skilled Data Scientist who also brings strong Data Engineering capabilities. This is a hybrid role with a primary focus on data science—developing advanced analytics and predictive solutions—while also requiring flexibility to support data engineering efforts and responsibilities when needed (you will be deeply analytical, technically proficient, and capable of leveraging tools like Databricks, SQL, ETL pipelines, PySpark, and Python as well).</p><p>In this position, you’ll have end-to-end ownership of identifying and understanding data-driven business opportunities and translating them into actionable, predictive, and scalable analytics solutions. You’ll take ownership of converting data into actionable insights that drive business value and support our customers' strategic goals.</p><p>You'll build data-driven applications that solve real-world business challenges and partner with both internal teams and customers to deliver high-impact outcomes. This is a strategic and hands-on role where curiosity, technical expertise, and a passion for creating value through data are essential. If you're passionate about solving complex business problems with data and enjoy working in a fast-paced, customer-focused environment, this role is for you.</p><p><br></p><p>Key Responsibilities</p><p>Data Science</p><ul><li>Partner with customers and internal stakeholders to identify business opportunities and deliver predictive, actionable solutions</li><li>Develop data-driven applications that solve real-world customer problems</li><li>Stay current with trends in machine learning and AI, and apply best-in-class tools, libraries, and technologies</li><li>Serve as a subject matter expert on generating insights from data and developing machine learning models</li><li>Design and build intuitive, interactive data visualizations to communicate findings</li><li>Lead pilot projects with customers, measure business value and impact</li><li>Transition successful pilots into production-ready commercial applications</li><li>Collaborate with platform architects to ensure designs align with security and architecture best practices</li><li>Review code and solutions before deployment to ensure quality and performance</li><li>Work with and oversee contractors to deliver high-quality outcomes</li></ul><p>Data Engineering</p><ul><li>Design and develop high-performance data ingestion pipelines using Azure Databricks and Azure Data Factory</li><li>Work with event-based streaming technologies to process real-time data</li><li>Architect and implement scalable Data Lakehouse solutions</li><li>Support development and delivery of related components such as APIs and search functionality</li><li>Evaluate and select tools based on technical performance and customer requirements</li><li>Operate within Agile and DevOps frameworks to deliver iteratively from proof-of-concept to production</li><li>Ensure all engineering solutions meet security and enterprise architecture standards</li><li>Perform thorough code reviews to maintain high-quality standards</li></ul>

<p>Data Science Qualifications</p><ul><li>Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field</li><li>Strong grasp of algorithms, data structures, and software design principles</li><li>Strong forecasting experience- Time series forecasting, algorithms for forecasting, building predictive algorithms MLL algorithms</li><li>Experience with classification and regression modules</li><li>Hands-on experience with machine learning, NLP, and deploying models to production</li><li>Proficiency in Python and at least one JVM-based language (e.g., Java, Scala)</li><li>Proficiency in PySpark</li><li>Strong SQL and database design skills</li><li>5+ years of experience building and deploying end-to-end data science solutions</li><li>Analytical thinker with strong problem-solving abilities</li><li>Excellent written, verbal, and interpersonal communication skills</li><li>Thrives in a dynamic, fast-paced environment with shifting priorities</li><li>Proven ability to collaborate cross-functionally and influence stakeholders</li><li>Demonstrated commitment to fostering a diverse and inclusive workplace</li><li>Retail industry is a must have for the role</li></ul><p>Data Engineering Qualifications</p><ul><li>3+ years of relevant experience in data engineering roles</li><li>Strong knowledge of data management principles and best practices</li><li>Proven experience designing and building ETL pipelines</li><li>Expertise in Databricks, SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB, and PySpark</li><li>Experience working with both structured and unstructured data</li><li>Background working in DevOps environments and familiarity with CI/CD practices</li><li>Ability to evaluate the scalability and performance of different tools and solutions</li></ul><p><br></p>

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