Position Summary

Premise is growing, and we are looking to add a Manager, Solutions Engineering to lead a team of analysts, data scientists, and coders, providing technical and analytical guidance while helping devise a range of creative solutions to our customer’s non-traditional needs. This position will be managing our data science and analytics pod within the Data Solutions team, which is responsible for all customer-facing deliverables for the company. This pod focuses on everything from scripting and data quality/management to analysis, visualization, and finished reports and works closely with the broader team’s methodologists, statisticians, and analysts to deliver compelling, comprehensive solutions to our customers.

The Data Solutions team handles all non-portal-based requirements for customers across our three verticals – public security, international development, and commercial – so you will have exposure to the full range of customer use cases and help provide insights across numerous subject areas. You will also have the opportunity to innovate with data visualization, analysis, and enrichment to enhance the rich attributes of Premise data, while also conducting internal investigations into our network and user behavior to optimize those elements for our customers. This person/team is a customer-centric advocate responsible for identifying and executing solutions that meet the customer’s needs and provide insight/value against a range of opportunities.

***This is an onsite position based out of our Washington, DC office.

What You Will Do

• Manage a team of data scientists, coders, and analysts to hit weekly deliverable goals and continue professional development, while also ensuring their products meet our high quality standards and are scalable whenever possible.
• Empathize with and understand customer needs, analyzing data from their perspective to identify goals, key performance indicators/metrics, and analytics to enhance customer satisfaction and our product’s overall value.
• Balance quick turn customer deliverables with longer term research into our/client data to unearth insights/potential improvements while still hitting deadlines.
• Communicate/collaborate with other internal technical and implementation teams, making recommendations and refinements based on research/recurring customer requests to continue improvement in key performance indicators/metrics and deliver winning product experiences and outcomes.
• Troubleshoot issues “hands on” while demonstrating/teaching a pragmatic, data-driven problem-solving approach that is iterative, methodical, and measured to tackle internal and client requirements.
• Communicate regularly with internal stakeholders to provide progress updates, next steps, and best practices to both technical and nontechnical audiences
• Create/automate/optimize data pipelines to aid data collection/analysis efforts and work to integrate the data into other algorithms and visualization tools/platforms.
• Create documentation for code and internal processes to develop best practices for both the Data Solutions team and broader company.
• Utilize Python and packages to write code towards data wrangling, enrichment, statistical analysis, and visualization of both spatial and non-spatial data.
• Apply strong quantitative background and experience in applied statistical analysis (e.g. time series, panel data, geospatial data, survey design).
• Identify and leverage opportunities to continually improve data quality, systems, processes, and standards.

What You Bring Along

• BS or MS in Economics, Geography, Mathematics, Data Science, Computer Science, etc. or equivalent work experience & analytical skills.
• Advanced level SQL writing skills (Google BigQuery a plus but not necessary).
• DevOps experience with cloud deployment of code, applications and/or pipelines CI/CD (e.g. Cloud functions, Kubernetes, containers, app/compute Engine)
• 5+ years experience with Python and associated packages for statistical analysis, machine learning, and computer vision.
• Experience taking complex, imperfect collection goals/questions and identifying insights of interest from a large amount of data, using a range of analytical tools and techniques in support of operations (minimum 2 years)
• Ability to work both collaboratively with a cross-functional team spread across multiple time zones and independently as an onsite ambassador, displaying critical thinking, creativity, and problem solving skills to achieve customer goals
• Experience working with Looker, Tableau or some other data visualization platform (minimum 3 years)
• Strong communication skills with the ability to breakdown, explain, and demonstrate complex concepts in an easy-to-understand manner to multiple levels of management (both internal and external)
• Passion for learning and sharing knowledge with the team around you.
• Experience with data analysis, quality, cleaning, and extraction/validation tools.
• Experience with QGIS, Shapely, or GeoPandas for geospatial data processing.
• Experience with visualization tools like Periscope Data, Data Studio, Tableau, ArcGIS a plus.

What You Get

• Competitive compensation and 401k plans
• Comprehensive medical/dental/vision coverage for you and your family
• Access to Health Savings Accounts and Flexible Savings Accounts
• Unlimited time off + paid holidays
• Opportunities for equity shares
• Dependent-care Flexible Spending Accounts, plus fertility support and coverage of $15,000
• Commuter transit and parking subsidies
• Daily lunch and snacks on-site