Sr. Python Data Science Software Engineer - ESRI
Redlands, CA 92373
About the Job
OverviewThe ArcGIS platform is an expansive spatial data science platform, incorporating both specialized geospatial data science tools and cutting-edge open source components, helping our users develop workflows that power modern business and make the world a better place for future generations
Be part of the team that deepens this integration by expanding the scope of geospatial data exploration and data analysis pipelines empowering users to tackle complex problems and communicate those results.Data science continues to evolve, and this senior role is intended for an engineer with existing data science experience who wants to make an impact by bridging the gap between research activity and a platform enabling a broad base of users to perform data science
This includes incorporating innovations in columnar databases and efficient analytic operations crossing the CPU / GPU boundary, understanding modern data science workflows in a spatial context, and integrating knowledge across scientific and software engineering domains
These efforts will provide building blocks of a system which meshes organizations' existing data science workflows with the depth and power of the ArcGIS platform system of record.ResponsibilitiesSpearhead the expansion of our python data science experience within ArcGISDesign the integration of geospatial data exploration and data analysis pipelines with innovations in the broader data science ecosystem (such as the Arrow columnar database or GPU based analysis)Represent a broad range of data science users who work at the intersection of spatial analysis and broader data science workflowsHelp spatial data science workflows mesh well with other data science workflows to streamline our users' work and the reach of our existing tools and technologyWork with multiple teams to design, implement and deploy the technologies within the ArcGIS productsRequirements5+ years of practical experience solving problems using a broad range of data science toolsExtensive experience with data frames, such as Pandas, Geopandas, R, or polarsExperience with Notebooks and their use in data scienceExperience with practical data science languages such as Python, R, or JuliaExperience performing data extraction, transformation, and loading from multiple sourcesStrong communication skills, including conveying complex topics to non-technical audiencesBachelor's in computer science, geography, statistics, mathematics, physics or a similar fieldRecommended QualificationsExperience interacting with AWS, Azure, or other cloud serviceExperience producing data visualizations using tools such as matplotlib, seaborn, or bokehExperience handling massive batch/streaming data using big data tools, such as Apache SparkExperience working with modern data workflows, such as Streamlit or DuckDBExperience building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniquesExperience with lower-level development stacks such as C++, Rust, or CUDAA fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes’ theorem, Random Forests, time series analysis, and moreExperience with software development best practices (version control)Experience with applied statistics conceptsExperience with spatial and GIS conceptsMaster’s in computer science, geography, statistics, mathematics, physics or a similar field#LI-AL1#LI-HybridTotal RewardsEsri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth
Base salary is one component of our total rewards strategy
Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.A reasonable estimate of the base salary range is$118,976—$194,688 USDThe CompanyAt Esri, diversity is more than just a word on a map
When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work
We believe in having a diverse workforce that is unified under our mission of creating positive global change
We understand that diversity, equity, and inclusion is not a destination but an ongoing process
We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work
Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology
For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law
If you need reasonable accommodation for any part of the employment process, please email
Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.Esri Privacy Esri takes our responsibility to protect your privacy seriously
We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Be part of the team that deepens this integration by expanding the scope of geospatial data exploration and data analysis pipelines empowering users to tackle complex problems and communicate those results.Data science continues to evolve, and this senior role is intended for an engineer with existing data science experience who wants to make an impact by bridging the gap between research activity and a platform enabling a broad base of users to perform data science
This includes incorporating innovations in columnar databases and efficient analytic operations crossing the CPU / GPU boundary, understanding modern data science workflows in a spatial context, and integrating knowledge across scientific and software engineering domains
These efforts will provide building blocks of a system which meshes organizations' existing data science workflows with the depth and power of the ArcGIS platform system of record.ResponsibilitiesSpearhead the expansion of our python data science experience within ArcGISDesign the integration of geospatial data exploration and data analysis pipelines with innovations in the broader data science ecosystem (such as the Arrow columnar database or GPU based analysis)Represent a broad range of data science users who work at the intersection of spatial analysis and broader data science workflowsHelp spatial data science workflows mesh well with other data science workflows to streamline our users' work and the reach of our existing tools and technologyWork with multiple teams to design, implement and deploy the technologies within the ArcGIS productsRequirements5+ years of practical experience solving problems using a broad range of data science toolsExtensive experience with data frames, such as Pandas, Geopandas, R, or polarsExperience with Notebooks and their use in data scienceExperience with practical data science languages such as Python, R, or JuliaExperience performing data extraction, transformation, and loading from multiple sourcesStrong communication skills, including conveying complex topics to non-technical audiencesBachelor's in computer science, geography, statistics, mathematics, physics or a similar fieldRecommended QualificationsExperience interacting with AWS, Azure, or other cloud serviceExperience producing data visualizations using tools such as matplotlib, seaborn, or bokehExperience handling massive batch/streaming data using big data tools, such as Apache SparkExperience working with modern data workflows, such as Streamlit or DuckDBExperience building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniquesExperience with lower-level development stacks such as C++, Rust, or CUDAA fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes’ theorem, Random Forests, time series analysis, and moreExperience with software development best practices (version control)Experience with applied statistics conceptsExperience with spatial and GIS conceptsMaster’s in computer science, geography, statistics, mathematics, physics or a similar field#LI-AL1#LI-HybridTotal RewardsEsri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth
Base salary is one component of our total rewards strategy
Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.A reasonable estimate of the base salary range is$118,976—$194,688 USDThe CompanyAt Esri, diversity is more than just a word on a map
When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work
We believe in having a diverse workforce that is unified under our mission of creating positive global change
We understand that diversity, equity, and inclusion is not a destination but an ongoing process
We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work
Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology
For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law
If you need reasonable accommodation for any part of the employment process, please email
askcareers@esri.com
and let us know the nature of your request and your contact informationPlease note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.Esri Privacy Esri takes our responsibility to protect your privacy seriously
We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Source : ESRI