Culver City, CA

Data Jobs in Culver City, CA

5 jobs found

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30d ago

Senior Data Scientist

Accenture Culver City, CA

Culver City, CA

30d ago Closed

$87k - $294k/yr Full time Senior Agentic Ai Artificial Intelligence

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Accenture is looking for a Senior Data Scientist to join its Global Responsible AI team in Culver City, CA. In this onsite role, you will help design and operationalize enterprise-scale AI solutions with Responsible AI governance, combining hands-on machine learning work with policy-aware risk management and client advisory.

What you’ll do

Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy, risk, compliance, and operations teams to identify, assess, and prioritize high-value AI opportunities.
Translate complex business challenges into analytics, machine learning, generative AI, agentic AI, and decision-science problem statements.
Conduct exploratory and statistical analysis, hypothesis testing, experimental design, feature engineering, predictive modeling, and optimization.
Develop supervised and unsupervised machine learning solutions across use cases such as classification, regression, clustering, forecasting, recommendation, anomaly detection, and optimization.
Build deep-learning solutions using neural networks and architectures including transformers, convolutional models, sequence models, representation learning, and multimodal approaches.
Create NLP and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Develop generative AI applications with large language models and foundation models, including prompt engineering, embeddings, vector search, retrieval-augmented generation, fine-tuning, model adaptation, guardrails, and evaluation.
Design agentic AI solutions that integrate reasoning, planning, memory, tools, workflows, human oversight, and single- or multi-agent orchestration to support complex business processes.
Evaluate commercial, open-source, and internally developed AI models and platforms for performance, accuracy, robustness, cost, latency, scalability, security, privacy, explainability, maintainability, and operational fit.
Design experimentation frameworks, evaluation methodologies, benchmarks, test datasets, acceptance criteria, and performance metrics for traditional, generative, and agentic AI systems.
Work with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps, GenAIOps, and LLMOps practices.
Establish monitoring and observability for model performance, drift, bias, fairness, hallucination, toxicity, safety, latency, cost, resilience, and overall system reliability.
Assess AI use cases and systems for risk across fairness, transparency, explainability, privacy, security, robustness, human oversight, accountability, and regulatory compliance.
Design and implement Responsible AI operating models including governance structures, policies, standards, controls, risk-assessment methodologies, assurance processes, and supporting technology capabilities.
Advise clients on emerging AI legislation, regulation, standards, regulatory guidance, and industry practices, while tracking major developments and translating them into actionable guidance.
Support organizations in establishing AI inventories, classification and risk-tiering approaches, governance workflows, control libraries, documentation standards, testing frameworks, and ongoing monitoring.
Act as a subject matter expert in Responsible AI across broader data, AI, cloud, digital, and enterprise-transformation programs.
Shape and lead Responsible AI and AI-governance engagements from initial assessment and strategy through design, implementation, operationalization, and continuous improvement.
Engage in prospective client discussions, identify opportunities, shape solutions, develop proposals, and support sales conversations tied to AI, Generative AI, Agentic AI, and Responsible AI.
Lead client workstreams and multidisciplinary delivery teams, managing scope, outcomes, risks, dependencies, stakeholders, and delivery quality.
Communicate analytical findings, AI-system behavior, limitations, risks, trade-offs, and business implications to both technical and non-technical stakeholders.
Guide senior Accenture leaders and client executives on AI strategy, adoption, governance, risk, regulation, and emerging technology.
Engage with industry, policy, standards, regulatory, academic, and ecosystem stakeholders where appropriate.
Develop and present Accenture perspectives, methodologies, accelerators, research, and thought leadership on AI and Responsible AI.
Mentor data scientists and other practitioners by contributing reusable frameworks, standards, assets, accelerators, and communities of practice.
Support clients with AI strategy, capability development, technology selection, organizational change, workforce adoption, and responsible scaling of AI.

Core responsibilities success factors

Business value generated by AI and data-science solutions.
Quality, accuracy, reliability, robustness, adoption, and production performance of deployed AI systems.
Effective identification and mitigation of AI-related risks.
Compliance with applicable Responsible AI policies, governance requirements, standards, and regulatory obligations.
Successful implementation and adoption of AI-governance operating models, processes, controls, and assurance mechanisms.
Reduction in operational cost, cycle time, risk exposure, or manual effort.
Improvement in customer, employee, citizen, or broader business outcomes.
Scalability and reusability of AI architectures, methodologies, governance frameworks, and accelerators.
Successful delivery of client engagements and workstreams against agreed outcomes.
Contribution to client relationships, proposals, business development, and market-facing thought leadership.
Ability to influence senior client and Accenture stakeholders on AI strategy, Responsible AI, risk, and governance.
Development, mentoring, and growth of data science and AI talent.

Requirements

Minimum 6 years of relevant professional experience across data science, artificial intelligence, advanced analytics, Responsible AI, technology consulting, AI governance, or related disciplines.
Bachelor’s or Master’s degree in a quantitative/technical discipline.
Significant experience applying data science, machine learning, advanced analytics, or AI to real-world business problems.
Strong understanding of probability, statistics, experimental design, optimization, machine learning theory, and quantitative problem solving.
Proficiency in Python and data science/ML libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalents.
Experience designing, developing, validating, deploying, and monitoring machine learning models in production environments.
Practical experience with generative AI including large language models, foundation models, prompt engineering, embeddings, semantic search, retrieval-augmented generation, and model evaluation.
Experience working with structured, semi-structured, and unstructured data including textual, image, multimodal, transactional, or time-series datasets.
Strong SQL skills and experience working with modern data platforms, distributed-processing technologies, cloud platforms, and enterprise data environments.
Knowledge of software engineering practices including APIs, version control, automated testing, containerization, CI/CD, and production observability.
Experience with AI governance and risk disciplines such as Responsible AI, model risk, data ethics, privacy, security, compliance, or related risk management.
Working knowledge of AI-related policy, standards, regulation, regulatory guidance, or assurance approaches.
Ability to translate regulatory, ethical, policy, or risk requirements into practical governance processes, operating models, controls, and technology requirements.
Strong client-facing consulting skills including structured problem solving, executive communication, stakeholder management, workshop facilitation, and storytelling.
Experience shaping and delivering complex projects or workstreams involving multidisciplinary teams.
Strong written and verbal communication skills, with ability to explain complex technical, regulatory, and risk topics to senior stakeholders.

Technologies

Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost
SQL
MLOps, GenAIOps, LLMOps
APIs, containerization, continuous integration, continuous deployment
AWS, Microsoft Azure, Google Cloud

Benefits

Medical, dental, vision coverage
Life and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Priority skills and knowledge

Responsible AI and AI governance
AI regulation, policy, standards, and compliance
Generative AI and Agentic AI
Data and AI ethics
AI risk assessment and assurance
AI governance operating models
Governance structures, policies, standards, and controls
Model and AI-system evaluation
Stakeholder and executive management
Management consulting
Project and workstream leadership
Technology strategy and transformation

Bonus points if you have

A doctorate in a quantitative, technical, or closely related discipline.
Experience designing or deploying agentic AI systems, including tool-using models, orchestration frameworks, workflow automation, reasoning systems, or multi-agent architectures.
Experience with knowledge graphs, graph analytics, causal inference, reinforcement learning, simulation, operations research, or mathematical optimization.
Familiarity with vector databases, model gateways, model registries, feature stores, evaluation platforms, AI observability tools, and AI-control technologies.
Experience with major cloud and AI platforms such as AWS, Microsoft Azure, or Google Cloud.
Deep knowledge of AI governance, data privacy, cybersecurity, model risk management, algorithmic accountability, or emerging AI regulation and standards.
Experience developing AI risk-taxonomy, AI inventory, impact-assessment, control-testing, assurance, or monitoring frameworks.
Experience leading multidisciplinary teams or delivering enterprise-wide AI, data, governance, risk, or technology-transformation programs.
Published academic research, industry papers, white papers, standards contributions, patents, or other recognized thought leadership in Responsible AI, AI governance, AI policy, AI ethics, or related fields.
Experience engaging with regulators, standards bodies, policymakers, industry associations, or academic institutions.
Ability to independently lead complex client workstreams from problem definition through implementation.
Experience managing resources and stakeholders within a matrixed global organization.

Salary range: USD 87,400 - 293,800 per year.

Location: Culver City, CA (onsite).

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1mo ago

Data Scientist

Amazon.com Services LLC Culver City, CA

Culver City, CA

1mo ago Closed

$136k - $213k/yr Full time Marketing Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Data Scientist on the DISCO M&G team within Amazon Music, based in Culver City, California (onsite). The role centers on analyzing large-scale data, developing models and algorithms, and guiding identity, acquisition, and retention strategies across marketing, product, and engineering.

Responsibilities

Lead the research and development of models and science products that drive identity, acquisition, and retention initiatives for Amazon Music.
Collaborate with Marketing and Growth leadership to craft science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs.
Develop predictive models such as propensity, uplift, and causal inference to support targeted marketing, quantify incremental impact, and automate analyses of key metric variances.
Work with product, engineering, and marketing teams to assess the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
Examine experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention.
Collaborate with senior data scientists and product managers to define, propose, and validate success and guardrail metrics for identity and growth initiatives.
Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices to foster evidence-based decision making.

Requirements

Minimum of two years of experience as a data scientist.
More than three years of experience with data querying languages (eg SQL), scripting languages (eg Python), or statistical/mathematical software (eg R, SAS, Matlab).
Over three years of experience with machine learning and statistical modeling tools and techniques, including understanding factors that affect performance.
At least one year of experience working with or evaluating AI systems.
Experience applying theoretical models in real-world, applied environments.
Bachelor's Degree with five or more years of relevant experience, or a Master's Degree with two or more years of relevant experience.

Technologies

SQL
Python
R
SAS
Matlab
Perl

Compensation

Annual salary range: USD 136,000 - 212,800 per year.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance, option for Supplemental life plans
Employee Assistance Program (EAP) and Mental Health Support
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints.

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2mo ago

Financial Analyst – FP&A, Operations & Business Analytics

Oliveda International Inc. Culver City, CA

Culver City, CA

2mo ago Closed

$80k - $90k/yr Full time Accounting Accounting Operations Accounts Payable

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Oliveda International Inc. is expanding its Waterless Beauty division and seeks a capable Financial Analyst to partner across Finance, Operations, and Leadership. This onsite role in Culver City, CA offers a salary range of USD 80,000 to 90,000 per year and calls for a minimum of three years of relevant experience. The analyst will own reporting, forecasting, analytics, and internal controls to support growth and drive data-informed decisions across the business.

Responsibilities

Establish and continuously document the full Accounts Payable process, ensuring consistency and accuracy.
Manage the AP subledger and perform monthly reconciliations against the General Ledger.
Keep an aging payables ledger current and resolve any discrepancies.
Develop and sustain an auditable filing system for invoices, purchase orders, and payment records.
Assist in implementing Accounts Payable automation solutions.
Manage vendor master files with proper documentation and internal controls.
Analyze COGS, landed costs, and gross margin by SKU.
Support demand planning initiatives.
Develop freight and fulfillment cost models to inform procurement decisions.
Monitor inventory performance and its financial impact.
Collaborate with the Head of Finance to create and oversee the annual operating budget.
Prepare monthly financial reporting packages for executive leadership.
Lead monthly forecast updates and conduct budget variance analysis.
Build and maintain a rolling cash flow forecast.
Establish a single source of truth for key business metrics using Excel or Google Sheets.
Develop weekly and monthly KPI reporting.
Create dashboards tracking Revenue, Gross Margin, CAC, LTV, and ROAS.
Deliver financial analyses supporting pricing, promotions, bundling strategies, and commercial initiatives.
Maintain sales tax nexus tracking across multiple states and reconcile tax data from Shopify and other platforms.
Prepare sales tax filing schedules and coordinate with external accounting partners; reconcile collected versus remitted taxes and maintain exemption certificates.
Monitor regulatory changes affecting sales tax compliance and support audits while evaluating automation tools like TaxJar.
Support the monthly close through reconciliations and reporting.
Partner with Accounting, Operations, Marketing, and Leadership on financial initiatives.
Maintain financial models and reporting templates; prepare executive reporting materials and board presentations.
Serve as a resource for finance process improvements across the organization.

Requirements

Bachelor's degree in Finance, Accounting, Economics, or a related field.
3–6+ years of experience in Financial Planning & Analysis, Corporate Finance, Accounting, or Financial Analytics.
Experience in high-growth consumer brands, retail, beauty, CPG, or eCommerce environments is strongly preferred.
Strong grounding in budgeting, forecasting, financial modeling, and variance analysis.
Experience with Accounts Payable and financial controls.
Advanced Microsoft Excel and Google Sheets skills with the ability to build scalable financial models.
Power BI or other visualization tools experience is a plus.
Shopify experience is highly desirable.
Knowledge of inventory accounting, supply chain finance, and gross margin analysis.
Familiarity with sales tax compliance across multiple states is preferred.
Excellent analytical, communication, and organizational skills.
Ability to work independently with limited oversight while managing multiple priorities in a fast-paced environment.

Technologies

Excel
Google Sheets
Power BI
Shopify

Benefits

Medical
Dental
Vision
401(k)
Paid Time Off
Health insurance

Job Details

Job Type: Full-Time, On-site (Culver City, CA)

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2mo ago

Data Engineer

Amazon.com Services LLC Culver City, CA

Culver City, CA

2mo ago Closed

$132k - $179k/yr Full time Amazon Quicksight Analytics AWS

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Join Amazon.com Services LLC in Culver City, CA on site as a Data Engineer with a salary range of USD 132,100 to 178,800 per year. This role centers on designing, building, and scaling Prime Video's data infrastructure and pipelines to enable reporting, analytics, and AI enabled insights for Global Operations. You will shape data models, governance, and automation to support forecasting, capacity planning, and self service analytics.

Responsibilities

Design, develop, and maintain scalable, automated data pipelines and ETL/ELT processes that ingest, transform, and deliver data to support business reporting and analytics needs.
Architect data infrastructure for agentic AI and Model Context Protocols MCP including structured pipelines, usage data capture, and systems that power AI enabled self service analytics and reporting.
Build and maintain data lakes, data warehouses, and APIs ensuring reliable, performant access to clean, well governed data. Optimize storage, queries, and AWS infrastructure costs.
Create logical data models that drive physical design, enabling BI analytics teams to build self service reporting on a solid foundation. Support forecasting and capacity planning at scale.
Establish data quality frameworks, monitoring, and alerting to ensure accuracy, completeness, and freshness. Drive governance best practices including lineage tracking, documentation, and access controls.
Own instrumentation strategy for key platforms, ensuring comprehensive data capture across operational workflows.
Partner cross functionally with BI engineers, analysts, operations, science, and tech teams to translate data requirements into scalable solutions.

Requirements

Bachelor's degree in business, engineering, statistics, computer science, mathematics or a related field
3+ years of data engineering experience
3+ years of experience with big data technologies such as Hadoop, Hive, Spark, or EMR
Experience with data modeling, warehousing, and building ETL/ELT pipelines
4+ years of experience with one or more query languages (SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala)
Experience with Python or another scripting language for data processing
Knowledge of data schema design including normalization, relational models, and dimensional models
Cross team collaboration skills and effective written and verbal communication when interfacing with stakeholders, peers, and executives
Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, continuous deployments, testing, and operational excellence
Experience using BI tools such as Tableau or QuickSight to visualize data

Technologies

Hadoop, Hive, Spark, EMR
SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala
Python
Tableau, QuickSight
AWS: S3, Redshift, SageMaker, Kinesis, Lambda, EC2
Informatica, Airflow, ODI, SSIS, BODI, Datastage

Benefits

Health insurance
Employee Assistance Program EAP
Mental health support
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign on payments
Restricted stock units RSUs

Preferred Qualifications

Advanced Degree MS in engineering, technology, statistics, analytics, or finance
Experience using BI tools Tableau, QuickSight to visualize data
Experience developing, scaling, and governing global operations standards and infrastructure across matrixed organizations
Experience with ETL tools such as Informatica, Airflow, ODI, SSIS, BODI, or Datastage
Experience architecting and operating solutions built on AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
Experience in large scale workforce, operations, or capacity planning functions
Experience in data mining and working with large scale, complex datasets in a business environment
Experience in statistical analysis using tools such as R, SAS, or Matlab

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3mo ago

DATA ENGINEER II

Sony Pictures Entertainment Inc. Culver City, CA

Culver City, CA

3mo ago Closed

$120k - $160k/yr Full time Analytics Bigquery Cloud Platform

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

The Data Engineer II role at Sony Pictures Entertainment builds and maintains ELT pipelines that power analytics, reporting, and AI/ML applications within the Insights, Strategy and Analytics team. Based in Culver City, CA with a hybrid work arrangement, this role collaborates with stakeholders across production, distribution, and marketing to enable data-driven decision making.

Responsibilities

Ingest new data sources into SPE's Snowflake data platform, partnering with central IT and cloud operations to define ingestion requirements and verify that pipelines meet business needs.
Translate complex business use cases into robust data models using dbt and SQL, ensuring scalable analytics capabilities.
Apply analytics engineering best practices to maintain data asset quality, reliability, and performance.
Participate in agile, fast-paced project teams building ISA tools; source and harmonize data from diverse systems to deliver consumption-ready data for data scientists and visualization leads, achieving measurable business impact.
Uphold data quality, integrity, and security standards across platforms and pipelines; collaborate with IT, engineering, and Infosec on governance and compliance efforts.
Communicate effectively with non-technical stakeholders to capture business requirements and work with technical partners across disciplines to design elegant solutions.
Contribute to a high-performance team culture that emphasizes ownership, accountability, and continuous improvement.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus.
5+ years of experience in data engineering, analytics engineering, or a related technical role in a production environment.
Proven ability to work with complex data domains and organize data assets for analytical use.
Interest in business concepts related to television production and distribution is a plus.
Advanced skills in SQL and Python.
Experience building transformation pipelines in dbt is strongly preferred.
Proficiency with modern cloud data platforms (Snowflake, GCP/BigQuery, AWS/Redshift) and with pipeline orchestration tools.
Familiarity with CI/CD workflows, version control, and automated testing frameworks to meet data quality standards.
Exposure to generative AI technologies and interest in AI-driven approaches to data engineering and analytics workflows.
Excellent communication and stakeholder management skills, with a curiosity to understand business systems and data origins.
Strong problem-solving abilities and meticulous attention to detail.

Technologies

Snowflake
GCP/BigQuery
AWS/Redshift
dbt
SQL
Python

Benefits

Annual incentive
Comprehensive benefits

Preferred Qualifications

Industry Experience: Experience in the media and entertainment industry is a plus, but candidates from other industries are welcome to apply.
Passion for Entertainment: A genuine interest in film and television is appreciated but not mandatory.

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Data Jobs in Culver City, CA

Senior Data Scientist

Data Scientist

Financial Analyst – FP&A, Operations & Business Analytics

Data Engineer

DATA ENGINEER II

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