Duration: 12+ months
Duration:
The Data Scientist level 2 independently leads moderately complex analytics and machine learning initiatives, translating business challenges into data-driven solutions while providing technical leadership and mentoring junior staff. Responsibilities include designing, developing, and deploying predictive and prescriptive models; leading end-to-end analytics projects; engineering features; optimizing model performance; implementing model validation, testing, and monitoring frameworks; and communicating insights to both technical and non-technical stakeholders.
- The role requires a Bachelors or Masters degree in a quantitative field, 6-10 years of professional data science experience, strong proficiency in Python or R for production-ready workflows, SQL expertise with large-scale datasets, experience deploying models into production, and solid knowledge of statistical inference, machine learning, and experimentation design.
- Preferred qualifications include experience with MLOps and CI/CD pipelines, cloud-native data architectures, regulated industries, and effective use of AI coding assistants.
- Key competencies include independent problem-solving, stakeholder management, technical leadership, and strong business acumen.
- Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data.
- This role leads complex spatial analytics efforts, mentors less-experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights.
- The position requires deep expertise in data science techniques and hands-on experience with spatial analytics at scale.
- This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs.
- Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.
- Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years.
- Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact.
- Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs.
- Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued.
About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
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