Technical Analyst (Data Science) - 179520

We’re Hiring! Our key client is hiring and looking to add a Technical Analyst (Data Science) to their team. Please check the description below and reach out to us for more details if you are interested. Pay Rate: $68.32/hour on W2 Work Type: Hybrid – Houston, TX 77002 Work Schedule: 1st Shift | 8:00 AM – 5:00 PM CST Duration: 6-month contract with possible extension Job Overview: Under general supervision, the Technical Analyst will support business needs analysis and data/analytical solution development. This role blends technical expertise with business analysis to design, test, and implement solutions that enhance operational efficiency through advanced analytics. The ideal candidate will be skilled in working with large spatial and temporal datasets, collaborating with cross-functional teams, and delivering actionable insights. Key Responsibilities: Analyze business processes and translate requirements into technical/analytical specifications. Design and develop scripts, APIs, and automation tools for advanced analysis. Build and maintain data pipelines for analytics. Collaborate with stakeholders and data scientists to define problems, document solutions, and support implementation. Develop/improve reports and visualizations to communicate insights and metrics. Ensure data quality and reliability for analytics and insights. Participate in Agile development processes, including sprint planning, backlog grooming, and UAT. Prepare technical documentation and contribute to team knowledge sharing. Apply geospatial analysis techniques and tools for location-based decision-making. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. 3–5 years of experience in a hybrid technical/business analyst role. Technical Skills Required: Programming & Scripting: Python, Java, SQL, R Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, Data modeling, ETL Cloud & DevOps: AWS (S3, SageMaker) Tools & Frameworks: Git, Jira, Confluence, PyCharm, Notebooks Machine Learning & Deep Learning: Pandas, NumPy, Scikit-learn, OpenCV, PyTorch, TensorFlow GenAI/LLMs: Hands-on experience with generative AI tools and frameworks Geospatial Tools: ArcGIS, QGIS, CARTO, or Python geospatial libraries Knowledge, Skills & Abilities: Strong analytical and problem-solving skills. Experience with large-scale datasets and advanced data mining. Excellent communication and stakeholder engagement abilities. Self-driven, collaborative, and customer-focused mindset. Experience working in Agile environments and cross-functional teams. Raise PBC is committed to a policy of nondiscrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religious creed, national origin, ancestry, age, disability, genetics, gender identity, veterans' status, sexual orientation, or any other characteristic protected by law. Raise PBC is an equal-opportunity employer encouraging diversity in the workplace. #USVM Job Type: Contract Pay: $68.32 per hour Benefits: Dental insurance Health insurance Vision insurance Work Location: In person