Data Scientist (GIS)

Education & Invention: • Advanced technical degree (Ph.D. or equivalent experience mandatory) • Publishing novel research in journals and conferences • Patents (including delivery of patented solution) Technical: • Excellent coding skills that include production software deployment • Data engineering, ML modelling, & decision science with terabyte or petabyte level data sources • Experience (concept to production) developing and deploying novel machine learning solutions • MLOps workflows with tools like AWS services (IAM, Lambda, S3, MLFlow), Databricks, or related. • Building productionized workflows involving large and disparate data sources (e.g. images, rasters, parquet, time-series, geo-tagged, text, and other unstructured data) • Building real-time & interactive dashboards involving spatiotemporal/GIS visualization tools (e.g. Folium, Plotly), and labelling systems like Super Annotate, Label box, Voxel51. • Debugging complex hardware & software systems, and associated data issues Communication & Leadership: • Influencing without authority, building rapport, persuading key collaborators, communicating progress/recommendations/methods/insights to stakeholders (e.g. product & delivery managers) • Scoping work & setting priorities, leading brainstorming sessions & proof of concept studies, organizing teams in an Agile style delivery environment, & executing with consistency • Define, quantify, and analyze key performance and customer value Indicators/metrics to support successful outcomes. Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.