Add your latest resume to match with open positions.

11 results for Data Scientist in Los Angeles, CA

Data Analyst

Irvine, CA
onsite
Temporary / Contract
35.625 - 41.25 USD / Hourly
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders. Responsibilities: • Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud. • Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up. • Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies. • Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses. • Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response. • Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review. • Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
2026-07-29T00:00:00Z

Senior Data Engineer

Glendale, CA
onsite
Temporary / Contract
78 - 83 USD / Hourly
Senior Data Engineer (Contract)Location: Glendale, CA | HybridEmployment Type: Long Term ContractPay: Available on W2 BasisPosition OverviewWe are seeking a Senior Data Engineer to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.The ideal candidate will bring strong expertise in Databricks, Python, Apache Spark, and Terraform, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.Key Responsibilities<ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
2026-08-11T00:00:00Z

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.
2026-07-29T00:00:00Z

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.
2026-07-29T00:00:00Z

Business Analyst

Newport Beach, CA
onsite
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for a Business Analyst to support operational improvement and digital enablement initiatives in Newport Beach, California. This role works across business and technology teams to uncover process gaps, define more effective ways of working, and help deliver scalable solutions that improve performance across core supply chain activities. The position is well suited for someone who can connect business goals with system capabilities, guide cross-functional collaboration, and promote practical, data-informed decision-making. Responsibilities: • Evaluate existing business workflows to uncover inefficiencies, process bottlenecks, and opportunities for greater consistency across operations. • Create improved future-state processes that use system functionality and automation to reduce manual tasks and strengthen execution. • Lead business analysis efforts for initiatives involving warehouse operations, procurement activities, and order management processes. • Collaborate with business leaders, technical teams, and external partners to define requirements and align solutions with strategic priorities. • Support the delivery lifecycle from initial discovery and requirements gathering through testing, rollout, and user adoption. • Develop repeatable process models and documentation that can be applied across multiple sites and warehouse environments. • Conduct gap assessments between current operations and desired capabilities, recommending practical improvements through D365 and connected platforms. • Help drive digital transformation efforts by identifying opportunities to improve reporting, analytics, and operational decision support.
2026-07-16T00:00:00Z

Business Analyst

Newport Beach, CA
remote
Permanent / Full Time
125000 - 135000 USD / Yearly
We are looking for an experienced Business Analyst to support enterprise process improvement initiatives in Newport Beach, California. This role will work closely with operational leaders and technology teams to shape effective solutions using Microsoft Dynamics 365 Customer Engagement and the Power Platform. The position focuses on translating business goals into practical system capabilities, improving workflows, and driving measurable results across customer-facing functions. Responsibilities: • Partner with business leaders and technical teams to gather, clarify, and prioritize functional needs for Microsoft Dynamics 365 Customer Engagement initiatives. • Analyze current workflows, identify process gaps, and recommend scalable improvements that increase efficiency across sales, service, and field operations. • Convert business objectives into detailed requirements, user stories, process maps, and supporting documentation for delivery teams. • Collaborate with developers, architects, and project stakeholders to design and refine solutions built on Dynamics 365 and Power Platform tools. • Support implementation efforts by validating configurations, coordinating user acceptance testing, and ensuring solutions align with operational expectations. • Help establish adoption strategies, usage standards, and governance practices that promote consistent and effective platform utilization. • Facilitate communication between technical and non-technical stakeholders to keep projects aligned, informed, and moving forward. • Monitor solution performance after deployment, gather feedback from users, and drive ongoing enhancements based on business value. • Contribute to integration planning for Dynamics 365 with Microsoft applications, Azure services, or external systems when required.
2026-07-16T00:00:00Z

Business Intelligence (BI) Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 180000 USD / Yearly
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams. Responsibilities: • Design and maintain semantic models that support reporting needs across operational and executive audiences. • Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance. • Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs. • Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers. • Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment. • Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery. • Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust. • Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
2026-07-29T00:00:00Z

Cloud Engineer

Inglewood, CA
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Cloud Engineer to join a hospitality organization in Inglewood, California, on a Long-term Contract assignment. This position focuses on maintaining and improving a hybrid Microsoft environment that spans cloud services, on-premises infrastructure, endpoint management, and backup operations. The ideal candidate brings strong systems administration experience, a practical approach to troubleshooting, and a commitment to secure, reliable, and efficient technology operations. Responsibilities: • Manage identity services across a hybrid directory environment, including integration between Active Directory and Microsoft Entra ID. • Oversee core Microsoft 365 administration by supporting collaboration platforms, email services, file storage, and user licensing needs. • Maintain endpoint management solutions through Microsoft Intune by handling device onboarding, compliance standards, configuration settings, and security controls. • Support privileged access and identity governance practices to strengthen administrative security and controlled access to critical systems. • Administer Windows Server platforms by performing patching, monitoring system health, resolving performance issues, and addressing operational incidents. • Provide support for Linux servers, virtualization platforms, and backup technologies to help ensure stability, recovery readiness, and high availability. • Manage Azure infrastructure across multiple regions, including compute, storage, networking, monitoring, and identity-related services. • Create and enhance automation using PowerShell and similar scripting tools to reduce manual effort and improve operational consistency. • Use monitoring and ticketing platforms to track infrastructure health, document technical work, and coordinate issue resolution with internal teams and external vendors. • Participate in disaster recovery exercises, planned maintenance activities, and infrastructure upgrade efforts to support business continuity.
2026-08-14T00:00:00Z

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>
2026-08-13T00:00:00Z

Senior IT Project Manager, Data Analytics

Brentwood, CA
onsite
Permanent / Full Time
118000 - 150000 USD / Yearly
Senior IT Project Manager, Data & Analytics Company OverviewA leading mission-driven nonprofit is seeking a Senior IT Project Manager to help shape the future of enterprise data and analytics. Based in Los Angeles, CA, this organization leverages technology and innovation to enhance operations, improve decision-making, and deliver exceptional experiences for both internal stakeholders and the communities it serves. This role offers the opportunity to lead highly visible digital transformation initiatives that drive long-term organizational impact. Role SummaryThe Senior IT Project Manager will lead complex, enterprise-level data and analytics initiatives that support organizational strategy, operational excellence, and data-informed decision-making. Working across technology, business, and leadership teams, this individual will oversee multiple high-priority projects focused on analytics platforms, data integration, reporting capabilities, governance, and modern data architecture. This is a highly collaborative role requiring exceptional stakeholder management, project leadership, and communication skills. Key Responsibilities<ul><li>Lead the full project lifecycle, including initiation, planning, execution, monitoring, control, and closure.</li><li>Manage multiple concurrent technology and analytics projects with complex dependencies and stakeholder groups.</li><li>Coordinate efforts across business units, technology teams, vendors, and external partners to ensure successful project delivery.</li><li>Drive implementation of enterprise data and analytics initiatives, including reporting, data integration, and governance programs.</li><li>Develop project plans, budgets, timelines, communication strategies, and resource forecasts.</li><li>Track project progress, manage risks, resolve issues, and escalate concerns when necessary.</li><li>Facilitate stakeholder meetings and consensus-building discussions across technical and non-technical audiences.</li><li>Support organizational change management activities to promote adoption of new processes and technologies.</li><li>Monitor project financials and ensure initiatives remain aligned with approved budgets.</li><li>Prepare executive-level presentations, status reports, and post-project reviews that communicate outcomes and lessons learned.</li></ul>Additional Details<ul><li>Hybrid: Three days per week onsite, with flexibility based on project needs</li><li>Three-year limited-term employment opportunity</li><li>Alternative work schedule with every other Friday off</li><li>Opportunity to partner directly with executive leaders, technology teams, and enterprise stakeholders</li><li>Exposure to large-scale digital transformation, analytics, and data modernization initiatives</li></ul>
2026-08-11T00:00:00Z

Systems Analyst

Santa Monica, CA
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Systems Analyst to support a non-profit organization in Santa Monica, California through a Long-term Contract engagement. This role will focus on evaluating business processes, translating operational needs into clear technical requirements, and developing practical automation solutions that improve efficiency across departments. The ideal candidate brings strong experience with Power Automate and Copilot, along with the ability to document workflows, analyze systems, and collaborate effectively with cross-functional stakeholders. Responsibilities: • Partner with teams across the organization to understand current processes, capture business needs, and define functional requirements for system and workflow improvements. • Design, build, and refine automated workflows using Microsoft Power Automate to streamline recurring tasks and reduce manual effort. • Use Microsoft Copilot to support analysis, documentation, and solution development in alignment with business objectives. • Create clear process maps, requirement documents, and supporting system documentation to guide implementation and future enhancements. • Assess existing operations to identify opportunities for automation, reporting improvements, and better system utilization. • Work with stakeholders to translate business challenges into scalable technical solutions that align with organizational priorities. • Support reporting and data analysis efforts using tools such as Power BI and Microsoft SQL Server to inform decision-making. • Contribute to system-related initiatives and process updates, including efforts connected to platform or workflow changes when needed.
2026-08-04T00:00:00Z