Website:
pathblends.com
Job details:
Company Description Path Blend Solutions specializes in delivering precision-matched IT talent to drive critical projects and initiatives. By combining expert profile optimization with access to verified job opportunities, the company connects employers with qualified professionals at the right time. Path Blend Solutions focuses on building strong partnerships with both clients and candidates to ensure long-term success. The organization values innovation, technical excellence, and a collaborative approach to solving complex business challenges.
Role Description The Sr. Data Scientist (GIS / Geospatial Analytics) – W2 role is a full-time, on-site position based in Hyderabad. The individual in this role will design and implement advanced geospatial analytics solutions, applying data science methods to location-based data to support business decision-making. Day-to-day responsibilities include acquiring, cleaning, and integrating diverse spatial datasets; developing predictive and descriptive models; and generating maps, dashboards, and visualizations that clearly communicate insights. The Sr. Data Scientist will collaborate with cross-functional teams to define analytical requirements, validate methodologies, and present findings to technical and non-technical stakeholders. The role also involves optimizing workflows, mentoring junior team members, and staying current with emerging GIS, geospatial, and data science tools and techniques.
Qualifications
- Strong proficiency in Data Science and Statistics, including modeling, hypothesis testing, and machine learning for geospatial data.
- Demonstrated experience in Data Analytics and Data Analysis to interpret complex spatial datasets and transform them into actionable insights.
- Ability to create clear and compelling Data Visualization outputs, such as maps, dashboards, and interactive reports.
- Hands-on experience with GIS tools and platforms (e.g., ArcGIS, QGIS, PostGIS) and geospatial libraries (e.g., GeoPandas, Shapely).
- Proficiency in programming languages commonly used in data science (such as Python or R) and SQL for data manipulation and analysis.
- Familiarity with big data or cloud-based analytics environments (e.g., AWS, Azure, GCP) and version control tools (e.g., Git).
- Excellent analytical, problem-solving, and communication skills, with the ability to collaborate in a multidisciplinary team environment.
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Geographic Information Systems, or a related quantitative field.
- Prior experience in a senior or lead data science role, particularly in GIS or geospatial analytics, is highly beneficial.
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