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Machine Learning Geospatial Jobs in Cupertino, CA

... machine learning, and external market data to drive profitable growth. What You'll Bring | Skills ... geospatial analysis, or related retail growth disciplines. • Experience working with external ...

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Machine Learning Geospatial information

See Cupertino, CA salary details

$23

$35

$57

How much do machine learning geospatial jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning geospatial in Cupertino, CA is $35.96, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $41.83 per hour, depending on experience, location, and employer.

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What job categories do people searching Machine Learning Geospatial jobs in Cupertino, CA look for? The top searched job categories for Machine Learning Geospatial jobs in Cupertino, CA are:
What cities near Cupertino, CA are hiring for Machine Learning Geospatial jobs? Cities near Cupertino, CA with the most Machine Learning Geospatial job openings:
Infographic showing various Machine Learning Geospatial job openings in Cupertino, CA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $74,798 per year, or $36 per hour.

Sr Store Analytics Manager

Tailored Brands

Dublin, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Tailored Brands rating

6.8

Company rating: 6.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

27th of 104 rated fashion retailers


Job description

Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands include Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore, which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites.
About the Job
We currently have an exciting opportunity for a Sr Store Analytics Manager to join the Tailored Brands Enterprise Analytics team. The Sr Store Analytics Manager is the lead analytical partner for store-growth decisions. You will help shape where Tailored Brands grows, how new opportunities are evaluated, how store maturity and network effects are understood, and how store tests and investments are measured after launch. This is a senior strategy-and-analytics role for someone who can pair quantitative rigor with executive-ready communication.
What You'll Do | Key Accountabilities
• Translate complex forecasts and analytical findings into clear business recommendations, including risks, sensitivities, and executive-ready decision frameworks.
• Establish and standardize analytical methodologies, assumptions, governance practices, and decision frameworks across store-growth initiatives.
• Lead store maturity and sales ramp analyses to validate long-term performance assumptions and establish the foundation for next-generation forecast capabilities.
• Design, execute, and communicate test-and-learn analyses for new store openings, remodel programs, market activations, and other strategic investments.
• Develop and enhance predictive models that improve location selection, forecast accuracy, and understanding of drivers of store performance, including emerging work in gravity modeling, co-tenancy analysis, and market potential estimation.
• Leverage internal performance data and external datasets-including mobility, consumer spend, demographic, and competitive intelligence sources-to evaluate market opportunities, quantify demand potential, and strengthen store-growth recommendations.
• Partner closely with Real Estate, Store Operations, Merchandising, Finance, Data Engineering, and executive leadership to align analytical recommendations with business strategy.
• Mentor analysts and contribute to the long-term analytics roadmap by identifying new opportunities to apply advanced analytics, machine learning, and external market data to drive profitable growth.
What You'll Bring | Skills & Experience
• Bachelor's degree in Analytics, Statistics, Economics, Mathematics, Business, Data Science, Geography, or a related quantitative field; advanced degree preferred.
• 10+ years of experience in analytics, strategy, retail, real estate, consulting, consumer insights, or a related field.
• Strong SQL, Excel, and Python skills, with experience transforming large datasets into actionable business recommendations.
• Experience building, evaluating, or operationalizing forecasting models, predictive analytics, experimentation frameworks, or other decision-support methodologies.
• Familiarity with location intelligence, trade-area analytics, site selection, market planning, geospatial analysis, or related retail growth disciplines.
• Experience working with external data sources such as mobility, consumer spend, demographic, competitive, or market intelligence datasets.
• Strong analytical problem-solving skills, including the ability to evaluate uncertainty, quantify risk, and develop data-driven recommendations
• Proven ability to communicate complex analyses and recommendations to senior leaders and cross-functional stakeholders.
• Experience partnering across functions including Real Estate, Operations, Finance, Merchandising, Data Science, or Data Engineering.
• Curiosity, strong business judgment, and a continuous-improvement mindset with a passion for using data to drive growth decisions.
Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.
Work Environment, Physical & Mental Demands
• Ability to sit and work at a computer keyboard for extended periods of time
• Ability to stoop, kneel, bend at the waist, and reach daily
• Able to lift and move up to 25 pounds occasionally
• Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
• Hours regularly 40 hours per week, as work dictates, from a remote office location
Benefits
This role is eligible for healthcare including medical, dental and vision, retirement savings (401k with a company match), income protection programs such as life, accident and disability insurance, paid time off for sick leave, vacation, bereavement, jury duty, and holidays, wellbeing program, commuter, adoption assistance, education assistance, legal services, and employee merchandise discounts. For more detailed information go Tailoredbrands.com/working-here/people-culture.
Work-Life Balance
We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as:
• Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development
• Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend
• Holiday Early Departure | close out early the business day before a company observed holiday
The starting salary for this position is $122,700 - $188,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $255,694. Other compensation may include a 10% Annual Incentive Plan (AIP) bonus paid out according to policy. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable.
Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

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