ZipRecruiter

Log In

Gridware
Gridware

60 Gridware Data Jobs Hiring Near You

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $260K/yr

Work closely with Data Engineering and Platform Engineering teams to ensure ML systems integrate cleanly with broader Gridware infrastructure and operational standards. * Improve CI/CD pipelines for ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$245K - $260K/yr

Work closely with Data Engineering and Platform Engineering teams to ensure ML systems integrate cleanly with broader Gridware infrastructure and operational standards. * Improve CI/CD pipelines for ...

Gridware

Software Engineering Manager

San Francisco, CA · On-site

$200K - $240K/yr

Familiarity with distributed systems, event-driven architectures, or real-time data processing * Alignment with Gridware's mission to modernize and harden critical infrastructure $200,000 - $240,000 ...

Gridware

Regulatory Assoicate

San Francisco, CA

Work closely with Gridware's customer success, sales, data, and R&D teams to produce materials and analysis for educating customers and regulators. * Support the filing requests of our utility ...

next page

Showing results 1-20

All JobsGridware Data Jobs

Gridware Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most popular job types at Gridware?
    What are the most popular jobs at Gridware?
    What are the most popular categories at Gridware?
    Infographic showing various Data job openings at Gridware in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
    Senior Data Scientist, Forecasting

    Senior Data Scientist, Forecasting

    Gridware

    San Francisco, CA

    Full-time

    Posted 29 days ago

    Job description

    About Gridware
    Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

    Role Description:
    As a Senior Data Scientist, you will be directly embedded into Gridware’s operations and analytics team and play a critical role in helping forecast weather based events, staffing of analysts, and gain a deeper understanding of how dynamic Gridware’s operations center can be.
    Responsibilities
    • Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload.
    • Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns.
    • Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories.
    • Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring.
    • Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions.
    • Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.
    Required Qualifications
    • 5+ years of experience building and deploying models into production environments
    • Experience with forecasting models
    • Strong programming skills with demonstrated proficiency in Python and SQL
    • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
    • Experience working cross-functionally with operations or business stakeholders
    Bonus Qualifications
    • Experience working with weather data
    • Experience with Geospatial tooling (GIS tools, GeoPandas, etc.)
    This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

    Benefits
    Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
    Paid parental leave 
    Alternating day off (every other Monday)
    “Off the Grid”, a two week per year paid break for all employees. 
    Commuter allowance 
    Company-paid training