<p>Job Description: Technical Analyst – Data Science</p><p><br></p><p>We are seeking a highly analytical and technically skilled Technical Analyst – Data Science to support business needs through data analysis, solution development, and collaboration with cross-functional teams. This role blends technical expertise with business acumen to deliver impactful insights and scalable data solutions.</p><p>WKey Responsibilities:</p><ul><li>Analyze business processes and translate requirements into technical specifications</li><li>Design and develop scripts, APIs, and automation tools for advanced analytics</li><li>Build and maintain data pipelines to support data science initiatives</li><li>Collaborate with stakeholders and data scientists to define problems and implement solutions</li><li>Develop reports and visualizations to communicate insights and metrics</li><li>Ensure data quality and reliability across analytics workflows</li><li>Support Agile development processes including sprint planning and UAT</li><li>Document technical approaches and contribute to team knowledge sharing</li><li>Apply geospatial analysis techniques to support location-based decision-making</li></ul>

<p>Required Qualifications:</p><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, or related field</li><li>3–5 years of experience in a hybrid technical/business analyst role</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and stakeholder engagement abilities</li><li>Experience working with large-scale datasets and Agile teams</li></ul><p><br></p><p>Technical Skills:</p><ul><li>Programming & Scripting: Python, Java, SQL, R</li><li>Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, ETL, Data Modeling</li><li>Cloud & DevOps: AWS (S3, SageMaker)</li><li>Tools & Frameworks: Git, Jira, Confluence, PyCharm, Notebooks</li><li>Machine Learning & Deep Learning: Pandas, NumPy, Scikit-Learn, OpenCV, PyTorch, TensorFlow</li><li>GenAI/LLMs: Hands-on experience with generative AI tools and frameworks</li><li>Geospatial Tools: ArcGIS, QGIS, CARTO, or Python geospatial libraries</li></ul>

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