Santa Monica, CA

Data Jobs in Santa Monica, CA

4 jobs found

Include remote jobs

4d ago

Data Analyst

Disney Direct to Consumer Santa Monica, CA

Santa Monica, CA

4d ago

$98k - $131k/yr Full time Analytics Big Data Business Analytics

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Job Description

Disney Direct to Consumer is hiring a Data Analyst for the Subscriber Lifecycle & Commerce Analytics team in Santa Monica, CA (onsite). The team works to measure, understand, and continuously improve the purchasing and payment experience, with a strong focus on experimentation, analytics, dashboards, and stakeholder collaboration.

In this role, you will support data-driven decision-making across commerce by designing experiments, building analysis plans, and turning complex questions into clear, actionable insights. You will also partner with engineering and data science teams to produce reliable pipelines and enable self-service exploration for business users.

What you’ll do

Own the end-to-end experimentation lifecycle for commerce tests, including payments and fraud prevention, by defining success metrics, determining sample sizes, and validating randomization.
Collaborate with stakeholders such as Product, Data Science, and Business Operations to analyze user behavior, design and evaluate interventions in payment and monetization, and identify approaches to improve subscriber retention.
Build and maintain operational dashboards in Looker and Tableau to track performance over time, support exploratory analysis, and provide partners with self-service tools.
Convert complex business questions into analysis plans that include testable hypotheses, SQL queries, statistical results, impact estimation and measurement, and executive-ready presentations.
Partner with Analytics Engineering, Data Engineering, and Data Science to create pipelines on complex transactional data that make analysis and advanced modeling or AI use cases easier for business users.

What you bring

A Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or a related field.
3+ years of hands-on analytical experience using SQL to drive strategic analysis for product or business decisions.
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.
Solid foundations in applied statistics, causal inference, and experimentation mechanics in technology products.
Strong SQL proficiency, with experience working with Snowflake and/or Databricks to manipulate large datasets, build data pipelines, and interpret trends.
Expertise with data exploration and visualization tools, including Looker and Tableau.
Strong technical analysis ability to investigate issues, analyze causes, propose solutions quickly, document changes, and communicate organizational impact.
Experience documenting data requirements, data strategy, and data rules, including standardization, cleansing, and validation.

Technologies

SQL, Snowflake, Databricks, Looker, Tableau, Python, R

Preferred qualifications

Experience using Python and/or R for statistical analysis and model building.
Experience with global billing, payment processing, and/or fraud prevention.
Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.

Compensation: USD 97,500 - 130,700 per year.

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21d ago

Research Data Analyst

Sony Interactive Entertainment Santa Monica, CA

Santa Monica, CA

21d ago

$51 - $64/hr Full time Analytics Data Data Analysis

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Job Description

As a Research Data Analyst at Sony Interactive Entertainment, you will support the User Research team within Naughty Dog, turning player telemetry, feedback, and research output into actionable insights. This hybrid role is based in Santa Monica, CA, where your analysis will help guide creative and production decisions across gameplay systems and features.

You will work at the intersection of quantitative measurement and player understanding, partnering with game analytics, engineering, design, and user research. The goal is to identify patterns in player behavior, clarify where friction occurs, and recommend opportunities that improve experiences over time.

What you’ll do

Analyze gameplay telemetry, player feedback, and research findings to surface trends, friction points, and opportunities across systems and features.
Turn complex datasets into clear insights and recommendations that inform design, prioritization, and development strategy.
Build and maintain dashboards and reporting tools to communicate key metrics and progress over time using tools such as Tableau and Omni.
Collaborate with Sony Game Analytics, Gameplay, Engineering, and Design to support telemetry design, event tracking, and data quality.
Work with User Research to connect quantitative analysis with qualitative findings from studies and playtests.
Participate in research initiatives to understand player behavior firsthand and identify new measurement opportunities.

What you bring

3–5 years of experience in data analysis, analytics, UX research support, or a related field.
Experience working with telemetry data and game analytics workflows.
Strong analytical and statistical skills, including experience with SQL, Python, R, MongoDB, or similar tools.
Experience with analytics platforms such as Tableau, Looker, or similar platforms.
A strong curiosity about player psychology, motivation, and behavior.
High attention to detail, with ownership and accountability.
Ability to present information clearly to top management and key stakeholders.
A collaborative mindset and adaptability to changing video game production needs.

Technologies

Tableau, Omni, SQL, Python, R, MongoDB, Looker

Benefits

Medical
Dental
Vision

Preferred qualifications

Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Psychology, Human-Computer Interaction, Cognitive Science, or a related quantitative or research-focused field.
Familiarity with narrative, single player game research and player experience evaluation.
Solid understanding of probability, statistics, and applied mathematical reasoning.
Ability to interpret technical and research materials and communicate findings clearly in reports and presentations.
Strong technical curiosity and interest in how tools work under the hood.
Prior experience with AAA console or PC game development.

Location: Santa Monica, CA (hybrid). Compensation: USD 51–64 per hour. Minimum experience: 3 years.

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30d ago

Machine Learning Engineer

Escalon Santa Monica, CA

Santa Monica, CA

30d ago Closed

$100k - $120k/yr Full time Artificial Intelligence Convolutional Neural Networks Deep Learning

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

Escalon is seeking a Machine Learning Engineer to design and implement intelligent systems that extract predictive signals and semantic meaning from computer vision and behavioral datasets. The role applies modern deep learning approaches to representation learning, enabling future action prediction, semantic matching, and similarity-based inference in real-world, real-time contexts.

This full-time, on-site position is based in Santa Monica, CA, with compensation listed at USD 100,000 to 120,000 per year. The position calls for 2 to 3 years of experience and a Bachelor's or Master's degree in a relevant field.

Responsibilities

Design and implement machine learning pipelines that encode visual inputs such as pose, face, and object/classification signals into shared embedding spaces for similarity and predictive tasks.
Build and fine-tune convolutional and transformer-based neural architectures for visual recognition and representation learning.
Develop encoding and embedding methods that support consistent comparison across multiple data types, including pose vectors, facial landmarks, and class labels.
Use techniques such as cosine similarity, distance metrics, and latent clustering to support behavioral inference and action prediction.
Support model training, evaluation, and deployment workflows, including data preprocessing, augmentation, hyperparameter tuning, and performance profiling.
Collaborate with engineers across computer vision, embedded systems, software, and UI/UX to integrate AI pipelines into real-time systems.
Produce clean, well-documented code and maintain version-controlled model artifacts and experiment logs.
Write technical documentation covering models, training procedures, evaluation criteria, and system integration.

Requirements

Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline.
2 to 3 years of experience in machine learning roles through internships, academic labs, or early career positions.
Strong understanding of Convolutional Neural Networks (CNNs) for image and video-based tasks.
Strong understanding of transformer architectures for vision or multimodal learning.
Strong understanding of embedding systems and vector space modeling for semantic and similarity-based tasks.
Strong understanding of encoding mechanisms and dimensionality reduction for latent representations.
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with pose estimation, facial recognition, or classification models (for example: OpenPose, MediaPipe, FaceNet, ResNet variants).
Experience training with structured and unstructured visual datasets.
Exposure to cosine similarity, triplet loss, contrastive learning, or temporal prediction modeling.
Strong computer science fundamentals including data structures, algorithms, and software design patterns.
Comfort working in Linux-based development environments and using Git.
A collaborative mindset with strong communication skills and willingness to learn across domains.

Technologies

Python, PyTorch, TensorFlow
Git
OpenPose, MediaPipe, FaceNet, ResNet
ONNX, TensorRT
MLflow, Weights & Biases
DVC
CLIP, DINO

Benefits

Comprehensive health coverage
Flexible PTO
A collaborative and intellectually driven team environment
The opportunity to work on cutting-edge AI systems supporting mission-critical applications

Bonus (Nice-to-Have)

Experience integrating vision-based AI models into embedded or robotics systems
Familiarity with ONNX or TensorRT for model optimization and deployment
Background in sequence modeling, recurrent architectures, or video-based action recognition
Exposure to multimodal AI systems that combine image, pose, and metadata representations
Familiarity with techniques such as CLIP, DINO, or self-supervised representation learning
Experience with MLOps or training orchestration tools including MLflow, Weights & Biases, or DVC

Other Requirements

Must be a US Citizen or a valid Green Card holder. Visa sponsorship is not available for this role.
Candidates must reside within a commutable distance of Santa Monica, California.

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3mo ago

Data Engineer, Deal Intelligence & Automation

Amazon Web Services, Inc. Santa Monica, CA

Santa Monica, CA

3mo ago Closed

$155k - $209k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Join Amazon Web Services, Inc. as a Data Engineer within the GDSP group. This onsite role is based in Santa Monica, CA with a compensation range of USD 154,600 to 209,100 per year. You will design, build, and maintain data pipelines, models, and platforms that power deal intelligence and automation across the organization. Partnering with product management and engineering, you will apply AWS services and generative AI to elevate data quality and unlock deeper insights.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance
401(k) matching
Paid time off
Parental leave
Basic Life & AD&D insurance
EAP
Mental Health Support
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
Medical Advice Line

Responsibilities

Design and sustain the backend data layer that supports analytics and visualization tools, ensuring data is clean, fresh, and optimized for downstream consumption
Convert business challenges into technical data requirements by collaborating with product management and stakeholders to define data products
Automate and optimize reporting workflows to enable self-service analytics at scale, reducing manual effort and accelerating time to insight
Create measurement frameworks and KPIs to quantify deal execution performance and operational health
Monitor, validate, audit, and document pipelines and data sources to maintain data quality
Leverage AWS services and generative AI to build advanced data solutions that improve efficiency and expand analytical capabilities

Requirements

Minimum of five years of data engineering experience
Experience with data modeling, warehousing, and constructing ETL pipelines
Proficiency in SQL
Experience in at least one modern scripting or programming language such as Python, Java, Scala, or Node.js
Experience mentoring team members on best practices

Technologies

SQL
Python
Java
Scala
NodeJS
Hadoop
Hive
Spark
EMR
AWS services
Generative AI

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Data Jobs in Santa Monica, CA

Data Analyst

Research Data Analyst

Machine Learning Engineer

Data Engineer, Deal Intelligence & Automation

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