San Leandro, CA

Data Jobs in San Leandro, CA

2 jobs found

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1d ago

Data Scientist

SirenOpt San Leandro, CA

San Leandro, CA

1d ago

$100k - $160k/yr Full time Anomaly Detection Artificial Intelligence Data

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Job Description

SirenOpt is hiring a Data Scientist for an on-site, customer-adjacent role on the Applications Engineering team. In this position, you will build and deploy machine learning models that translate complex sensor signals into practical predictions about material properties. You will work on forward-deployed proof-of-concept studies, validate models on novel materials, and partner with software and hardware teams to bring models into production.

What you’ll be doing

Build, calibrate, and validate predictive models that map sensor signal features to material properties
Design and evaluate model architectures and featurization strategies for small-data, high-dimensional scientific datasets
Apply techniques including regression, dimensionality reduction, probabilistic modeling, anomaly detection, and physics-informed ML
Create testing and validation frameworks that measure performance, including uncertainty quantification and out-of-distribution detection
Assess model robustness across sample types, process conditions, and instrument configurations
Prepare models and documentation for handoff to the software engineering team for production deployment
Analyze datasets from customer proof of concepts and translate findings into model improvement roadmaps
Compile technical reports and materials to deliver insights to customers
Collaborate closely with software and hardware engineering teams to move work from research into production

What you’ll bring

B.S. in Data Science, Statistics, Applied Mathematics, or a related quantitative science field with 3–5 years of applied ML/data science experience, or M.S. with 1–3 years (Ph.D. a plus, not required)
Hands-on experience building and validating predictive models (supervised and self-supervised) using Python
Ability to analyze multivariate, high-dimensional datasets and perform feature engineering and selection
Strong grounding in statistical modeling, including uncertainty quantification, regularization, covariate analysis, and feature importance methods
Comfort communicating technical findings to both technical and non-technical audiences

Tools you’ll use

Python, PostgreSQL

Benefits

Equity and salary compensation based on experience
Health, Dental, Vision plans
401(k) matching provided
20 days of PTO per year, plus approximately 15 paid US holidays per year

Additional preferences

Experience with time-series, spectroscopic, or other sensor-based signal data
Background in manufacturing, materials science, energy storage, semiconductors, or another physical science domain
Customer-facing or applications engineering experience in a technical product company
Experience deploying models in production software environments
Familiarity with data pipeline development (PostgreSQL or similar)
Fluency in Mandarin Chinese, Japanese, German, Korean, or another key stakeholder language

Location: On-site in San Leandro, CA

Compensation: USD 100,000 - 160,000 per year

Job Type: Full-Time

Minimum experience: 1 year

Education: M.S. or B.S. in Data Science, Statistics, Applied Mathematics, or a related quantitative science field

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3mo ago

Data & Analytics Engineer

Peterson CAT San Leandro, CA

San Leandro, CA

3mo ago Closed

$105k - $125k/yr Full time Analytics Artificial Intelligence Business Analytics

This position is no longer accepting applications (closed Jul 14, 2026).

Job Description

Peterson CAT is seeking an on-site Data & Analytics Engineer in San Leandro, CA to evolve its enterprise analytics platform with cloud data platforms, Power BI, and AI enabled workflows.

Responsibilities

Ingest and steward data through raw, transformed, and curated layers aligned to analytics needs.
Design and maintain cloud-based data pipelines using Snowflake and Microsoft Fabric, while continuing to support existing SSIS workloads and Azure Data Factory where applicable.
Create analytics ready datasets via SQL based transformations.
Develop and maintain reports, dashboards, and semantic models, primarily in Power BI.
Leverage Python and AI enabled workflows to speed data ingestion and schema discovery.
Accelerate source to target mapping and transformation logic with Python and AI driven workflows.
Speed ETL troubleshooting and optimization using Python and AI assisted workflows.
Enhance report and dashboard generation through Python and AI enabled processes.
Advance data validation, reconciliation, and impact analysis with AI powered workflows.
Uphold strong data quality, reconciliation, and documentation standards across data assets.
Support ingestion, modeling, and analytics enablement for finance and ERP platforms, including Microsoft Dynamics.
Build reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
Contribute to data and analytics standards, best practices, and frameworks within the evolving Data & Analytics Center of Excellence.
Collaborate with business, finance, and IT teams to define requirements, validate outputs, and deliver trusted analytics solutions.
Maintain punctual, regular, and predictable attendance.

Requirements

Bachelor's Degree from an accredited college in Data Science, Information Technology, Engineering, or a closely related field, plus at least three years of direct experience in data engineering, business intelligence, or analytics, or an equivalent combination.
On-site work capability with close collaboration to business, finance, and IT teams.
Strong SQL and data warehousing experience with hands-on work on modern cloud platforms (Snowflake, Microsoft Fabric, or similar), including ETL/ELT ingestion and transformations.
Experience using Python for data engineering tasks, automation, and AI-enabled workflows.
Hands-on experience building production reports and dashboards; Power BI is required, with other BI tools acceptable.
Experience with Microsoft integration tools, including SSIS and/or Azure Data Factory.
Proven experience supporting end-to-end data pipelines from ingestion through analytics and reporting.

Technologies

Snowflake
Microsoft Fabric
SQL Server Integration Services (SSIS)
Azure Data Factory
SQL
Power BI
Python
Microsoft Dynamics
Spark / PySpark

Benefits

Competitive wages
Generous benefits package
Promotional opportunities
Total compensation package in addition to base salary

Certifications, Licenses, Registrations

None required

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Data Jobs in San Leandro, CA

Data Scientist

Data & Analytics Engineer

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