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13 results for Data Scientist in Orange, CA

Data Engineer

Beverly Hills, CA
remote
Temporary / Contract
50 - 53 USD / Hourly
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations. Responsibilities: • Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin. • Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment. • Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems. • Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy. • Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions. • Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards. • Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows. • Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments. • Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
2026-06-08T00:00:00Z

Database Engineer

Irvine, CA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Database Engineer to support the performance, stability, and scalability of a modern data platform in Irvine, California. This role focuses on building dependable data pipelines, improving platform operations, and ensuring data assets remain governed, accessible, and cost-efficient in a production environment. The ideal candidate brings strong hands-on experience with Databricks, Spark, Python, SQL, and SQL Server, along with the ability to troubleshoot issues across orchestration, storage, and source system connectivity. Responsibilities: • Oversee daily health and uptime of Databricks pipelines, job schedules, compute resources, Delta Lake datasets, and warehouse environments to maintain consistent platform performance. • Design, build, and refine Spark-based data processing workflows in Databricks notebooks across bronze, silver, and gold layers, including incremental ingestion patterns using Auto Loader and streaming frameworks when needed. • Support and enhance workflow orchestration through Databricks Workflows and Apache Airflow, with attention to data delivery timelines, reliability targets, and operational continuity. • Administer data governance controls in Unity Catalog by managing schemas, permissions, lineage visibility, and catalog structures within a regulated environment. • Maintain and optimize Microsoft SQL Server databases used as source and downstream data stores, improving query execution, indexing strategy, schema organization, and overall system efficiency. • Track compute utilization and platform spend by implementing monitoring, alerting, and resource tuning practices that improve predictability and cost control. • Investigate and resolve end-to-end production issues involving failed jobs, data validation concerns, evolving schemas, and connectivity or authentication problems with upstream systems. • Contribute to shared operational ownership by creating documentation, runbooks, and support procedures that strengthen team coverage and reduce dependency on any one individual. • Produce clear technical documentation for pipeline design, platform operations, and maintenance practices to support long-term scalability and team collaboration.
2026-06-10T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Business Intelligence (BI) Engineer

Santa Ana, CA
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Business Intelligence (BI) Engineer to join a team in Santa Ana, California, in a contract-to-permanent role. This position focuses on building scalable analytics and data solutions across modern Microsoft platforms while turning complex business needs into clear reporting and insight tools. The ideal candidate brings strong experience in BI engineering, data modeling, and enterprise reporting, along with the ability to collaborate closely with technical teams and business stakeholders. Responsibilities: • Build, test, and support enterprise BI and analytics solutions using Microsoft Azure services such as Azure SQL Database, Microsoft Fabric, Azure Synapse Analytics, and Azure Data Lake. • Create dynamic dashboards, reports, scorecards, and visual storytelling assets in Power BI to support decision-making across the business. • Manage the Power BI Service environment, including workspace administration, gateway configuration, security setup, deployment workflows, and governance practices. • Partner with stakeholders to define reporting goals, convert business requirements into scalable data solutions, and deliver meaningful analytical insights. • Develop and refine semantic layers, dimensional models, and enterprise datasets to improve reporting accuracy, usability, and performance. • Build and maintain ETL and data integration workflows using tools such as Azure Data Factory, Microsoft Fabric Dataflows, Informatica, and related technologies. • Apply data security, governance, and quality standards, including row-level security and compliance controls, across reporting platforms. • Coordinate with onsite, offshore, and cross-functional teams to keep projects on schedule, support delivery milestones, and maintain execution quality. • Provide technical leadership to BI developers and analysts through mentoring, guidance, reviews, and knowledge sharing. • Contribute to analytics modernization efforts by recommending cloud-based improvements, supporting self-service reporting, and exploring AI-enabled analytics opportunities.
2026-06-12T00:00:00Z

Data Migration Specialist

Downey, CA
onsite
Temporary / Contract
30 - 35 USD / Hourly
We are seeking a Data Migration Specialist to support a large-scale ERP/HCM implementation initiative. This role is ideal for professionals with backgrounds in Business Systems Analysis, Data Migration, or System Configuration Analysis who have hands-on experience managing data migration activities across the full implementation lifecycle.The ideal candidate will bring strong technical data management capabilities, a disciplined approach to process and file governance, and the ability to perform detailed variance analysis—particularly in payroll-related data. This individual must also be comfortable operating in a structured client-facing environment with clear escalation protocols and high professional standards. Key Responsibilities<ul><li>Execute data migration activities in support of large-scale ERP or HCM system implementations.</li><li>Build, maintain, and validate configuration data tables for target system setup.</li><li>Map legacy system values and structures to new system configurations and target-state data models.</li><li>Perform detailed payroll variance analysis to identify discrepancies, document findings, and group root causes into actionable categories.</li><li>Support data validation, reconciliation, and issue resolution throughout migration and testing cycles.</li><li>Maintain strict version control and ensure adherence to mandatory peer QA checklist processes.</li><li>Manage operational follow-ups with clients while adhering to defined project communication and escalation protocols.</li><li>Track deliverables, updates, and issue status proactively to support project transparency and execution discipline.</li><li>Work effectively within a structured professional environment that emphasizes punctuality, professionalism, and consistency in execution.</li></ul>
2026-06-01T00:00:00Z

Data Migration Specialist

Downey, CA
onsite
Temporary / Contract
40 - 45 USD / Hourly
**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193**** We are looking for a Data Migration Specialist to support a long-term contract engagement in Downey, California. This role is ideal for someone who is detail oriented and has strong experience in data migration, system implementation support, and structured data analysis within complex enterprise environments. This position requires to be on-site 4 days a week and there will be 1 day that will be remote. The position will focus on preparing, validating, and reconciling data while partnering with stakeholders to ensure accuracy, control, and consistency throughout the migration lifecycle. Responsibilities:• Lead data migration activities across large enterprise implementation projects, ensuring source data is accurately prepared and aligned with target system requirements.• Develop and maintain configuration tables and transformation logic to convert legacy values into standardized structures for the new environment.• Perform detailed variance analysis on payroll and related data sets to identify discrepancies, isolate patterns, and document root causes.• Apply disciplined version management and peer quality review practices to maintain data integrity and reduce processing errors.• Coordinate operational follow-ups with client-facing teams while escalating issues through established governance channels when needed.• Track project progress, maintain organized documentation, and support a highly structured delivery environment with consistent follow-through.• Use Python, Apache Spark, Hadoop, Kafka, and ETL processes to manage, transform, and validate large volumes of data efficiently.
2026-06-11T00:00:00Z

Cloud Engineer

Rosemead, CA
onsite
Permanent / Full Time
155000 - 160000 USD / Yearly
Job TitleDevOps Engineer Company OverviewA leading enterprise organization in the consumer and retail services sector, based in San Gabriel Valley, California, is focused on delivering scalable, secure, and innovative technology solutions across a large, distributed environment. The company is committed to modernizing its infrastructure through cloud adoption, automation, and advanced identity management, enabling high-performance operations and long-term growth. Role SummaryThe Senior Cloud Solutions Architect will lead the design, implementation, and governance of enterprise cloud architecture in San Gabriel Valley, California. This role serves as a strategic and hands-on technical leader responsible for driving cloud transformation, identity management, and infrastructure modernization across hybrid and multi-cloud environments. The position partners closely with cross-functional teams to ensure solutions are scalable, secure, and aligned with business objectives. Key Responsibilities<ul><li>Design and implement enterprise cloud architecture across Azure, AWS, and hybrid environments</li><li>Define architecture standards, frameworks, and best practices for scalable and secure cloud solutions</li><li>Lead cloud migration, modernization, and cloud-native initiatives across business platforms</li><li>Architect and manage identity systems, including Active Directory and cloud-based identity services</li><li>Oversee design, governance, and optimization of enterprise productivity and collaboration platforms</li><li>Drive adoption of Infrastructure as Code (IaC), automation, and DevOps best practices</li><li>Partner with security teams to ensure compliance with industry standards and secure design principles</li><li>Collaborate with engineering and finance teams to optimize cloud performance, scalability, and cost</li><li>Provide technical leadership, mentorship, and architectural guidance across teams</li><li>Evaluate emerging technologies and recommend strategies for continuous improvement and innovation</li></ul>Compensation & Benefits<ul><li>$155,000 - $160,000 plus discretionary bonus and stock</li><li>Comprehensive medical, dental, and vision coverage with strong employer contribution</li><li>Retirement savings plan with company match</li><li>Employee discounts and additional wellness-focused benefits</li><li>Competitive total rewards package with long-term growth opportunity</li></ul>Additional Details<ul><li>4x per week onsite in San Gabriel Valley</li><li>Flexible start times to support work-life balance</li><li>High-impact role working closely with infrastructure leadership</li><li>Opportunity to shape enterprise cloud strategy in a large-scale environment</li></ul>
2026-05-29T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-06-12T00:00:00Z

Software Engineer

Manhattan Beach, CA
remote
Permanent / Full Time
110000 - 135000 USD / Yearly
Senior Application Developer (Symitar / .NET)Remote – Los Angeles Area Candidates OnlySalary: Up to $130,000A growing financial services organization is seeking a Senior Application Developer to design, develop, enhance, and support business-critical applications. This fully remote role requires candidates to reside in the Los Angeles area and offers the opportunity to work on complex development projects within a financial systems environment. Responsibilities<ul><li>Design, develop, test, implement, and support enterprise applications.</li><li>Collaborate with business and technical teams to gather requirements and deliver solutions.</li><li>Create technical specifications and documentation.</li><li>Troubleshoot, debug, and maintain existing applications and integrations.</li><li>Provide production support and technical guidance on projects.</li><li>Mentor team members and promote development best practices.</li></ul> EducationBachelor's degree in Computer Science, MIS, or a related field, or equivalent combination of education and experience. Compensation: Up to $130,000 annually, depending on experience. For immediate consideration, direct message Reid Gormly on Linkedin today and Apply Now!
2026-06-05T00:00:00Z

DevOps Engineer

Rosemead, CA
onsite
Permanent / Full Time
175000 - 200000 USD / Yearly
Job TitleManager, DevOps Automation Company OverviewA well-established organization in the consumer services and technology sector, based in San Gabriel Valley, California, is focused on delivering scalable, technology-driven solutions to support enterprise operations. The company is committed to operational excellence, innovation, and building secure, reliable systems that enable business growth across a distributed environment. With a strong emphasis on modernization, the organization is investing in automation and cloud technologies to enhance efficiency and performance. Role SummaryThe Manager, DevOps Automation will lead the strategy, implementation, and evolution of infrastructure automation and Infrastructure as Code (IaC) capabilities across enterprise platforms in San Gabriel Valley, California. This role combines hands-on technical leadership with team management, driving the adoption of scalable, secure, and efficient automation practices across cloud and on-premises environments. The position plays a critical role in reducing manual processes, improving system reliability, and advancing overall technology maturity. Key Responsibilities<ul><li>Lead the design, implementation, and governance of DevOps automation and IaC solutions across hybrid infrastructure environments</li><li>Manage and mentor a team of DevOps engineers, fostering growth, performance, and technical excellence</li><li>Serve as the subject matter expert for automation tools, including orchestration platforms and configuration management systems</li><li>Develop and standardize automation frameworks for provisioning, patching, compliance, and lifecycle management</li><li>Partner with infrastructure, cloud, and security teams to integrate automation into CI/CD pipelines and operational workflows</li><li>Oversee automation and operational excellence for identity and productivity platforms, including directory services and collaboration tools</li><li>Establish and track key performance indicators related to automation coverage, system reliability, and operational efficiency</li><li>Drive continuous improvement by reducing manual intervention and enhancing consistency and auditability</li><li>Evaluate emerging technologies and tools to advance automation capabilities and standardization</li><li>Create and maintain documentation, standards, and reference architectures to support enterprise-wide adoption</li></ul>Compensation & Benefits<ul><li>$160,000-$175,000 + discretionary bonus + stock</li><li>Performance-based bonus opportunities</li><li>Comprehensive health, dental, and vision insurance with significant employer contribution</li><li>Retirement savings plan with company match</li><li>Stock or equity participation opportunities</li><li>Employee discounts and wellness-focused perks</li><li>Paid time off and flexible scheduling options</li></ul>Additional Details<ul><li>Hybrid work model with regular in-office collaboration</li><li>Leadership role with direct reports and significant organizational impact</li><li>Occasional travel and flexibility for after-hours support as needed</li><li>Opportunity to shape and scale enterprise automation strategy in a dynamic environment</li></ul>
2026-05-27T00:00:00Z

Artificial Intelligence (AI) Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
190000 - 200000 USD / Yearly
Job TitleSenior Artificial Intelligence (AI) Solutions Architect Company OverviewA forward-thinking organization in the consumer products and retail sector, based in Los Angeles, CA, is investing heavily in artificial intelligence to transform business operations and drive innovation. The company is focused on building scalable, AI-enabled systems that enhance efficiency, decision-making, and customer experiences. With a strong commitment to technological advancement, it fosters a collaborative environment where new ideas and AI-driven initiatives are encouraged. Role SummaryThe Senior AI Solutions Architect will serve as a key technical leader responsible for designing, building, and scaling enterprise-grade AI systems. Based in Los Angeles, CA, this role partners closely with senior leadership to translate business needs into robust AI solutions while driving technical execution. This position combines hands-on engineering with strategic influence, shaping the organization’s AI roadmap and enabling broader adoption across teams. Key Responsibilities<ul><li>Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions</li><li>Design and implement AI orchestration workflows, including agent-based and context-aware systems</li><li>Develop and manage LLM-powered applications and integrations across business platforms</li><li>Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact</li><li>Establish governance, best practices, and standards for AI workflows and system architecture</li><li>Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems</li><li>Contribute to AI strategy and roadmap development alongside senior technology leadership</li><li>Mentor and guide engineers, fostering technical excellence and best practices</li><li>Promote AI adoption through internal education, advocacy, and knowledge sharing</li><li>Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability</li></ul>Compensation & Benefits<ul><li>$190,000 - $200,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive medical, dental, and vision coverage</li><li>Competitive benefits and employee-focused perks</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>Leadership-track opportunity with clear growth into senior technology leadership</li><li>Highly visible role with direct impact on enterprise AI strategy and execution</li></ul>
2026-06-03T00:00:00Z

AI DevOps Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
Job TitleAI DevOps Engineer Company OverviewA well-established and growing organization in the consumer products and retail space, based in Los Angeles, CA, is leveraging advanced technologies to modernize operations and drive innovation. The company is committed to integrating AI-driven solutions to improve scalability, efficiency, and decision-making across the business. With a collaborative and forward-thinking culture, they prioritize continuous improvement and technology-driven growth. Role SummaryThe AI DevOps Engineer will play a critical role in designing, deploying, and scaling AI-driven systems in a production environment. Based in Los Angeles, CA, this position focuses on building robust CI/CD pipelines, enabling reliable AI operations, and ensuring secure, scalable infrastructure. This role partners closely with both technical and business stakeholders to operationalize AI solutions and drive enterprise-wide adoption. Key Responsibilities<ul><li>Design and implement CI/CD pipelines for AI applications and services</li><li>Build and manage scalable AI deployment frameworks and infrastructure</li><li>Establish best practices for AI operations, including monitoring, reliability, and cost optimization</li><li>Automate infrastructure provisioning and configuration using modern DevOps tools</li><li>Develop observability solutions to ensure high system performance and uptime</li><li>Implement secure deployment practices and maintain strong access controls</li><li>Operationalize AI platforms and integrate them into business workflows</li><li>Collaborate with cross-functional teams to identify opportunities for AI-driven scaling</li><li>Educate internal stakeholders on AI capabilities, tools, and operational best practices</li><li>Contribute to long-term infrastructure and AI platform strategy</li></ul>Compensation & Benefits<ul><li>$160,000 - $185,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive health benefits including medical, dental, and vision coverage</li><li>Additional perks and employee-focused programs</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>High-impact role with visibility across technical and business teams</li><li>Opportunity to help build and scale AI operations within a growing organization</li></ul>
2026-06-03T00:00:00Z