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Today

Data Scientist

SirenOpt San Leandro, CA

San Leandro, CA

Today

$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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8d ago

Senior Data Scientist - Radar and Sensor Analytics

FORTEM TECHNOLOGIES INC Lindon, UT

Lindon, UT

8d ago

Full time Senior Artificial Intelligence Data

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Job Description

The Senior Data Scientist role at Fortem Technologies Inc focuses on converting raw radar returns into actionable intelligence. The position supports object classification for Fortem’s TrueView radar systems and extends capabilities across additional sensor modalities and drone telemetry while delivering models that can be evaluated and monitored in production.

Responsibilities

Develop and deploy machine learning models to classify objects detected by Fortem’s TrueView radar systems, including drones, birds, aircraft, and clutter.
Analyze large volumes of radar returns and track data to identify features that improve detection and classification accuracy.
Collaborate with radar and FPGA engineering teams to understand signal processing pipelines and identify data-driven opportunities.
Build data pipelines and labeling workflows to curate and maintain high-quality training datasets.
Extend classification capabilities to additional sensor modalities and drone telemetry data over time.
Evaluate model performance in production, monitor for drift, and iterate on models and features.
Communicate findings, tradeoffs, and recommendations to engineering and product stakeholders.
Perform other related duties and tasks as assigned by engineering leadership.

Requirements

Master’s or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, or a related field, or equivalent experience.
5+ years of experience applying machine learning and data science to real-world sensor or time-series data.
Strong proficiency in Python and standard ML and data libraries, including NumPy, pandas, scikit-learn, PyTorch, and/or TensorFlow.
Experience working with radar, RF, or other raw sensor data.
Solid understanding of classification, signal processing, and feature engineering techniques.
Experience building and maintaining production ML pipelines.
Strong communication skills, including the ability to translate ML results for a broader engineering audience.

Preferred Skills

Experience with radar signal processing methods such as micro-Doppler, range-Doppler, and CFAR.
Experience with drone or UAS detection and classification.
Familiarity with sensor fusion or multi-target tracking algorithms.
Experience with edge deployment of ML models, including embedded or low-power inference.
Experience with MLOps tooling and model versioning.

Technology Stack

Python
NumPy
pandas
scikit-learn
PyTorch
TensorFlow
FPGA

Location and Experience

Location: Lindon, UT (onsite). Minimum experience: 5 years.

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Sensor Analytics Data Jobs

Data Scientist

Senior Data Scientist - Radar and Sensor Analytics

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