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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Visualization (Power BI) - **Company:** Conch Technologies - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $140,000.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, ArcGIS (Software), Microsoft Azure, Continuous Integration, Data Transformation, Data Presentation, Data Visualization, R (Programming Language), Monitoring of Systems, Machine Learning, NumPy, PostGIS, Power BI, Tensorflow, Standard Sql, SciPy, Software Deployment, Tableau (Software), Digital Twin, Feature Engineering, Pytorch, Large Language Models, Pandas, Containerization, Scikit Learn, Information Technology, Statistics Packages, Geospatial Data Abstraction Library (GDAL), Deployment Automation, Real Time Data, Plotly, Machine Learning Operations, Lidar, Data Pipelines, Powerapps - **Published:** August 6, 2026 - **Apply:** https://www.careerjet.com/jobad/us8a064707b8c69cd08eac1352c27f9ac0 ## About the Role We are seeking an experienced Data Scientist Visualization with strong expertise in Power BI to join a growing analytics and data science team. The ideal candidate will have a proven background in data science, advanced analytics, machine learning, data visualization, and scalable data pipeline development. This role requires a combination of technical expertise, business acumen, and the ability to transform complex data into actionable insights for both technical and non-technical stakeholders. Power BI expertise is required. Experience with Power Apps is a plus. Key Responsibilities, * Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Geography, or a related quantitative field with 5+ years of experience; OR * Bachelor's degree with 10+ years of relevant experience. Experience * 10+ years of hands-on experience in data science, analytics engineering, machine learning, and advanced analytics. * 5+ years of client-facing consulting or solution delivery experience. * Proven experience delivering analytics solutions from concept through production deployment. Technical Skills * Strong expertise in Power BI for dashboard development, visualization, reporting, and data storytelling. * Experience with Power Apps is preferred. * Advanced Python programming experience using Pandas, NumPy, SciPy, Polars, and related libraries. * Strong SQL and data modeling expertise. * Experience with R programming. * Deep knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and Statsmodels. * Experience with time-series forecasting, predictive analytics, feature engineering, and statistical modeling. * Strong geospatial analytics experience using ArcGIS, GeoPandas, PostGIS, GDAL/OGR, PDAL, or similar technologies. * Experience building and deploying solutions on Azure, AWS, or GCP. * Knowledge of MLOps practices including CI/CD, containerization, model monitoring, experiment tracking, and deployment automation. * Experience with Tableau, Plotly/Dash, or other visualization platforms is a plus. Preferred Qualifications * Experience within transportation, aviation, construction, engineering, infrastructure, or facilities operations. * Exposure to BIM, VDC, digital twins, IoT, telemetry, or operational technology systems. * Experience working with LiDAR, imagery, sensor data, and geospatial datasets. * Familiarity with foundation models, multimodal AI, and advanced analytics applications. * Experience with product incubation, innovation initiatives, or startup methodologies. * Strong understanding of responsible AI, model explainability, governance, and regulatory compliance. Key Competencies * Exceptional analytical and problem-solving abilities. * Strong communication and presentation skills. * Ability to explain complex technical concepts to business stakeholders. * Leadership mindset with experience mentoring teams and driving best practices. * Self-starter capable of working independently in a fast-paced environment. ## Description * Design, build, and maintain scalable and reusable data pipelines that integrate structured, unstructured, geospatial, LiDAR, and real-time data from multiple sources. * Develop and deploy advanced analytical, statistical, and predictive models including machine learning, time-series forecasting, causal inference, and geospatial analytics. * Create and operationalize interactive dashboards, visualizations, and analytical interfaces using Power BI and other visualization platforms. * Translate complex analytical findings into meaningful business insights and recommendations. * Lead the development of innovative data-driven products and solutions by collaborating with business stakeholders and technical teams. * Perform exploratory data analysis, feature engineering, model development, validation, deployment, and monitoring. * Build and optimize data transformation workflows supporting digital delivery and operational programs. * Establish and promote best practices in data science, analytics, visualization, model governance, and responsible AI. * Drive knowledge sharing and technical leadership across teams and business units. * Collaborate with clients and internal stakeholders to define requirements, scope projects, and deliver impactful analytical solutions., Duration: 12 Months Business Analyst to support enterprise analytics and visualization initiatives. 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