Data Scientist Jobs in Long Beach, CA

Data Engineering Architect We are seeking an experienced Data Engineering Architect to design and implement scalable data solutions for our organization. The ideal candidate will have deep expertise in cloud data warehousing, ETL/ELT processes, data modeling, and business intelligence. Responsibilities: • Design and architect end-to-end data solutions leveraging AWS Redshift, Apache Airflow, dbt, and other modern data tools • Develop data models and implement data pipelines to ingest, transform, and load data from various sources into our Redshift data warehouse • Create and maintain Apache Airflow DAGs to orchestrate complex data workflows and ETL processes • Implement data transformations and modeling using dbt to ensure data quality and consistency • Design and optimize Redshift clusters for performance, scalability, and cost-efficiency • Collaborate with data analysts and scientists to expose data through Tableau dashboards and reports • Establish data governance practices and ensure data security/compliance • Mentor junior data engineers and promote best practices across the data team • Evaluate new data technologies and make recommendations to improve our data architecture Requirements: • 7+ years of experience in data engineering, with at least 3 years in an architect role • Deep expertise with AWS Redshift, including data modeling, query optimization, and cluster management • Strong experience with Apache Airflow for workflow orchestration and scheduling • Proficiency with dbt for data transformation and modeling • Experience creating dashboards and reports in Tableau • Excellent SQL skills and experience with Python • Knowledge of data warehousing concepts and dimensional modeling • Strong communication skills and ability to work cross-functionally • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Only US Citizen or GC or Permanent Resident can apply this role. Salary: $130k/yr. to $160k/yr. on W2 rate only Title: Senior Manager of Data Engineering & Reporting Direct Placement Seeking an experienced Senior Manager in Data Engineering & Reporting to lead enterprise data strategy, architecture, and analytics solutions. As the gatekeeper of company-wide data, you will drive data integrity, governance, scalability, and insights that empower executive decision-making, operational efficiency, and digital transformation. You will work across IT, Finance, Sales, Operation, and Marketing to develop cloud-first, AI-ready data ecosystems that optimize business intelligence and reporting. The ideal candidate will have deep expertise in Oracle, Microsoft SQL, Salesforce Data Migration, ETL, SSIS solutions, .NET, AWS, Azure, RDS, and Tableau, supporting our growing business needs and digital transformation initiatives. Required Qualifications: 8+ years of experience in Data Engineering, Database Administration, ETL development, Marketing Analytics and Reporting, preferably for consumer brands. Deep expertise in Oracle, Microsoft SQL Server, AWS RDS, Azure SQL, and cloud-based database services. Experience with cloud-based Data Warehousing, Big Data processing, and Data Lakes (e.g., AWS Redshift, Azure Synapse, Snowflake). Hands-on experience with Salesforce data migration and integration. Strong experience with ETL/SSIS solutions, data integration, and transformation processes. Proficiency in .NET, Python, PowerShell, or Terraform for automation and scripting. Experience creating enterprise reporting dashboards and specific reports to drive insight-driven decision-making. Proven ability to understand business teams' data and reporting needs, create cross-functional priorities, and establish and execute on data reporting roadmap. Excellent problem-solving, analytical, and communication skills. Ability to work collaboratively in a fast-paced environment. Preferred Qualifications: Knowledge of AI/ML-driven data analytics and predictive modeling. Certifications in AWS, Azure, or Microsoft SQL databases. Experience with data governance and security best practices. Data Architecture and Warehouse Management : Design, develop, and maintain scalable, high-performance data warehouse architecture across Oracle, Microsoft SQL Server, and cloud platforms (AWS RDS, Azure SQL). Implement best practices for data modeling, storage, and governance to ensure data consistency and accuracy. Manage and optimize Salesforce data migrations, providing seamless integration with CRM, ERP, and other systems. Data Engineering and Data Quality : Design and implement optimal real-time and batch processing, ETL/ELT pipelines using SSIS, SQL, and cloud-based tools (e.g., AWS Glue, Azure Data Fabric) to automate data ingestion and transformation. Develop governance and implement processes to ensure data quality, lineage, and validation across all workflows.

As a Lead Data Engineer you will fill a new role Contract-to-hire role that sits on the data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: This role will leading a Jr team member and contractors * Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. * Design & build scalable products with robust security, quality and governance protocols. * Lead delivery of data engineering pipelines to enable Sales, Marketing, Advanced Analytics and CRM use-cases * Create low-level design artifacts, including mapping specifications. * Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using cloud based technologies. * Create unit/integration tests and implement automated build and deployment. * Participate in code reviews to ensure standards and best practices. * Deploy, monitor, and maintain production systems. * Use the Agile Framework to organize, manage and execute work. * Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: * Bachelor's degree in Computer Science, Data Science or Statistics * 8+ years of experience in analysis, design, development, and delivery of data * 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools * Understanding of data engineering best practices and data integration patterns * 2+ years of experience with DevOps and CI/CD * 1+ years of experience (not just POC) in using Git and Python * Experience in agile methodologies. * Effective communication & facilitation; both verbal and written * Team-Oriented: Collaborating effectively with team and stakeholders * Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: * Experience with Customer, Product, or Contract data domains in Financial Service industry * Experience building Customer Data Platforms (CDP) or Customer 360 * Experience working with Azure Dev Ops (ADO), Build and Release CI/CD pipelines and orchestration * Expertise in Snowflake and DBT * Strong communicator, with skills leading and facilitating cross-functional teams * Experience with automation, scripting, and testing in data delivery environment * Understanding of data catalogs, glossary, data quality, and effective data governance * Financial Services/Investments/Insurance domain knowledge * Experience working in complex data systems Desired Skills and Experience Roth Staffing is looking for Data Engineer III for the client All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Data Engineer - Hybrid (3 Days Onsite) - $120,000 - $140,000 per year on the base Our client is seeking an experienced Data Engineer to join their team in Irvine, CA on a hybrid basis (3 days onsite per week). Key Responsibilities: Design, develop, and manage AWS-based data solutions. Implement ETL processes and optimize SQL-based data pipelines. Work on Machine Learning and AI initiatives to improve data analytics. Collaborate with stakeholders to define data strategies for logistics, supply chain, and manufacturing operations. Utilize Power BI for data visualization and reporting. Requirements: 5+ years of experience in AWS data engineering. Strong skills in SQL, ETL, and Python. Exposure to Machine Learning and AI is preferred. Experience in logistics, manufacturing, or supply chain industries. Strong communication and stakeholder engagement skills. Hybrid work schedule - must be able to work in the office at least 3 days a week. If you are interest, apply today!

Job Summary: We are seeking a highly skilled and motivated Big Data Engineer to join our client's Big Data Platform team within the streaming domain. This role offers an exciting opportunity to work with large-scale data solutions that drive critical business decisions, including product design, advertising effectiveness, content discovery, and new market expansions. Our team values data as a core asset, leveraging it to enhance user experience, support advertisers, and empower content partners. We are looking for a technically proficient candidate who is eager to innovate and build cutting-edge data solutions. Key Responsibilities: Design, develop, and optimize scalable data solutions. Collaborate with cross-functional teams to drive data-driven decision-making. Implement and maintain batch and real-time data processing frameworks. Ensure data integrity, security, and compliance with industry best practices. Enhance self-service data capabilities for internal stakeholders. Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience. Minimum of 3 years of experience in big data engineering, including modeling and developing large data pipelines. Proficiency in programming languages such as Scala, Java, and Python. Strong expertise in Hadoop ecosystem components, including Yarn and Resource Manager. Hands-on experience with distributed systems and batch processing technologies such as Apache Spark. Strong SQL skills for data exploration and analysis. Understanding of Software Development Lifecycle (SDLC) and best practices. Preferred Qualifications: Experience with real-time data processing technologies like Apache Flink. Familiarity with CI/CD pipelines for streamlined development and deployment. Ability to design and develop user interfaces for self-service data access. Strong problem-solving skills and ability to bridge technical and non-technical teams. Experience in integrating complex systems and enhancing software development practices.

Senior Data Engineer Duration: Long term contract Salary range: $67-75/Hour Required Skills & Experience 7+ years of experience working within data engineering 5+ years of experience with AWS Data Bricks 5+ years of experience with Python 5+ years of experience with SQL Spark & Python scripting experience 2+ years of Tableau Experience Experience writing complex queries Telecom Experience Nice to Have Skills & Experience Experience Azure or AWS Snowflake Job Description A large telecommunications client is looking for a Senior Data Engineer/Analyst to join their team. This team currently focuses on building the data infrastructure and dashboards that enables the business to conduct their analysis. They are currently utilizing Data Bricks, Tableau, Python, Spark and SQL. This team works with large sets of data, so it is important that the candidate has worked with Teradata sets. The team is looking for an individual that can build and optimize their current data environments in order to increase efficiency of their business. Currently, data is being fed into data bricks/snowflake. This person is going to be responsible for helping to optimize what already exists in the data bricks environment and providing insight into if the current tools they are using is the best solution. You will also be writing complex queries, this team uses a mix of Spark, Scala, Python and SQL. You will also be responsible for connecting data from Data Bricks to Tableau, and creating visualizations. You will be optimizing, merging, and manipulating data in various environments. Due to the desire to optimize the business and have this person contribute to these conversations, it is important to be highly collaborative, a great communicator, and able to understand business needs.

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Senior Data Integration ETL Engineer Lead Work Location USA (Irvine, CA) (Onsite/Hybrid) Job Description: Design implement and manage AWS Cloud Infrastructure to ensure high availability scalability and security Develop and maintain CICD pipelines to automate the deployment process and ensure smooth and efficient software delivery Monitor system performance and security and implement necessary measures to ensure optimal operation Lead the adoption and implementation of Helix ensuring seamless integration with existing systems Provide support for Data Platform Services ensuring data integrity availability and performance Create and maintain detailed documentation on DevHub ensuring all processes and procedures are well documented and easily accessible Qualifications Proven experience in AWS Cloud Infrastructure CICD Monitoring and Security Strong knowledge of Helix adoption and implementation Experience supporting Data Platform Services Excellent documentation skills and experience with DevHub Strong problem-solving skills and the ability to work in a fast paced environment Excellent communication and leadership skills Mandatory Skills: ANSI-SQL, Cognos Analytics, MicroStrategy, MS Excel, PowerBI, Python, QlikView, SAP Business Objects, Tableau Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Our client, a large entertainment studio, is looking for a skilled Data Analyst to work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely. This is a long-term contract that requires 5 days/week on-site in Los Angeles. Responsibilities: As a Data Analyst, work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely Lead transformational, high-impact data projects from ideation to implementation, ensuring alignment with strategic objectives Investigate issues that intersect revenue and technical areas by liaising with multiple teams and addressing root causes Design and automate impactful reports and dashboards, moving from data extraction and creating complex SQL queries for analysis as needed, to delivering actionable insights at scale Prototype and refine dashboards and analysis tools using data visual platforms like Looker and Tableau Demonstrate adaptability and problem-solving in ambiguous situations, providing actionable insights with support from managers and team members Required Qualifications: 5+ years' experience as a Data Analyst (preferably in tech, entertainment or finance) Tableau, Scripting, Python, ETL development experience Deep knowledge of SQL to extract and manipulate data or with other tools Experience in translating data into business recommendations and business questions into an analysis framework to executive level stakeholders Strong analytical problem-solving mindset; ability to bring structure to uncertainty Excellent written and verbal presentation skills; comfortable presenting findings to stakeholders If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.

Lead Data Engineer, Data ReliabilityJob ID 10103077 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Jan. 21, 2025Job Summary: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. We seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. Assist in designing and developing a platform to support incident observability and automation. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure. Build solutions to continually improve our software release and change management process. Minimum Qualifications: 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Expertise with common Data Engineering languages such as Python, Scala, Java, SQL. Experience with workflow orchestration tools such as Airflow. Deep understanding of end-to-end pipeline design and implementation. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. #DISNEYTECH #J-18808-Ljbffr

On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. About The Role The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. We also support a healthy work-life-balance. Responsibilities Assist in designing and developing a platform to support incident observability and automation. This team will be required to build high quality data models and products that monitor and reports on data pipeline health and data quality. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance. Basic Qualifications 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Expertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Deep understanding of end-to-end pipeline design and implementation. Attention to detail and quality with excellent problem solving and interpersonal skills Preferred Qualifications Advanced degrees are a plus. Strong data visualizations skills to convey information and results clearly Ability to work independently and drive your own projects. Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience. Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Innate curiosity about consumer behavior and technology Experience with event messaging frameworks like Apache Kafka A fan of movies and television is a strong plus. Required Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Additional Information #DISNEYTECH The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

Must Have Technical/Functional Skills • Strong with data modeling concepts (star schemas, snowflake schemas, highly normalized data models). • Data modeling tools - Erwin. • Data Warehouse database platforms - Snowflake, BigQuery, Databricks. • Knowledge and experience of at least one data profiling tool. • Familiar with ETL tools like DataStage/Informatica. • Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies • Conceptual knowledge of BI tools like Business Objects/Tableau is a plus. • Deep understanding of principles in data warehousing and cloud architecture with principles of SQL optimization for building very efficient and scalable data systems. • Excellent SQL programming skills. • Excellent problem solving skills. • Excellent communication skills with both business and technical customers. • Demonstrate a high level of integrity and maturity. • Work on multiple projects and deliver consistently on time. • Escalate issues appropriately to management and project team. • Take a proactive approach to cross-functional communication. • Actively seek out feedback from management and peers, to improve own performance based on that feedback Roles & Responsibilities • Interacting with Business Users/ Business Relationship Managers to understand the BI and analytical needs • Identify the right data sources / data completeness to meet the BI needs. • Data profiling to build the entity relationships across multiple sources. • Develop and maintain data dictionary for all the data sources (existing and new ones). • Build conceptual and logical data models considering the BI needs. • Develop optimized database design to achieve acceptable performance by tuning views, tables for proper response time. • Work with database administrators to implement data models into database platforms, ensuring data integrity and consistency. • Monitor database performance, identify bottlenecks, and optimize data models to improve query efficiency and data access speed. • Work closely with the IT teams in ETL design discussions adopting best practices of data load strategy. • Identify effective reporting techniques, identify the best data sources for each report, identify risks and constraints, and design reporting formats. • Create and maintain metadata describing the data model, including data lineage and definitions. • Data analyst skills to determine root cause problems for data integrity and data quality issues identified through QA or by business report owners. • Define data storage strategy Generic Managerial Skills: The BI Data Modeler will collaborate with various stakeholders from Business and other partners to understand data requirements and business needs. Should be able to design solutions in the form of Conceptual and Logic data models to meet business needs. Should have an ability to optimize data models for performance, scalability and ease of use. Should have the ability to maintain accuracy, completeness and consistency of the data models with up-to-date documentation and metadata. Shoul d be an expert in various BI tools, capture analytical and reporting requirements from the Business, analyze various data sources and provides BI solutions that helps to facilitate reporting and dashboarding. Should have extensive expertise on data profiling using data profile tools and modeling tools like Erwin. Should be able to build data models by reverse engineering the database structures. Should have experience in analyzing and handling unstructured data sources. Should have an ability to communicate complex data concepts to non-technical stakeholders. Design solutions based on the data lake concepts, use of data by consumers and provide solutions weighing in pros and cons of cons ETL Vs ELT approach. Ideal candidate is a “hands-on” type problem solver who will work directly with the data engineering and business data management teams to help profile, catalog and design views and conceptual data model, catalog data sources and define data quality rules based on business use cases. Salary Range: $85,000-$120,000 a year

6 month contract to hire, candidates should be eligible to work for any employer in the United States without needing Visa sponsorship. The Data Analyst is responsible for acting as an advanced professional in the systems and process design and implementation space, focusing on low, medium, and high effort software implementation projects. The Analyst will solicit, understands, and documents the customer's business requirements, processes, and workflows developing both written and visual depictions of requirements and process flows. The Data Analyst works with developers to create the functional specifications that meet those requirements, serves as subject matter expert (SME) to the Developers building those functions, and works with the QA team to test the developed functionality. The BSA will recommend and institute business analysis best practices, tools, and methodology towards standardization of deliverables and procedures, and collaborates with Developers and QA Leads to uphold and improve SDLC processes. The Data Analyst will be onsite 2 days per week in Irvine, CA. Responsibilities Collaborates with stakeholders to gather and analyze business requirements, translating them into technical specifications for data engineering projects. Performs complex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making. Models, cleans, and categorizes data sets for effective use in analytics applications. Identifies data-related issues, assess their severity, and evaluate their business impact to inform data quality improvement initiatives. Implements corrective measures for inaccurate data values and other issues, while addressing their underlying causes. Develops data quality guidelines and best practices for end users to reduce the likelihood of future issues. Develops and maintains documentation for data flows, data dictionaries, and business processes. Ensures data quality, consistency, and compliance with data governance policies. Assists in the evaluation and implementation of new data technologies and tools. Performs other duties and projects as assigned. Requirements: Demonstrates knowledge of, adherence to, monitoring and responsibility for compliance with state and federal regulations and laws as they pertain to this position. Demonstrates team leadership and staff development skills. Demonstrates understanding of business analysis principles, processes, and techniques. Ability to create use cases, functional, and technical requirements. Familiarity with data lakehouse concepts and technologies (e.g., Delta Lake, Snowflake). Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow). Preferred knowledge of machine learning concepts and their applications in business. Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis) Strong consultative and advisory skills. Strong understanding of data warehousing concepts and dimensional modeling. Intermediate skills in computer terminal and personal computer operation; Microsoft Office applications including but not limited to: Word, Excel, PowerPoint and Outlook. Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders Effective organizational and time management skills. Ability to make decisions that have moderate impact on the immediate work unit and cross functional departments. Ability to organize and prioritize work schedules on a short-term and long-term basis. Ability to provide consultation and expert advice to management. Ability to make informal and formal presentations, inside and outside the organization; speaking before assigned team or other groups as needed. Ability to deal with complex difficult problems involving multiple facets and variables in non-standardized situations. Ability to work with little to no supervision while performing duties. Technical Skills Required Bachelor's degree in Computer Science, Information Systems, or a related field. Minimum of five (5) + years of experience in business systems analysis or data analysis roles. Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala). Experience with cloud platforms (AWS, Azure, or GCP) and their data services. Experience with data visualization tools (e.g., Tableau, Power BI, or Looker). Proven experience in data quality management and improvement initiatives. Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate). Preferred experience with data governance and data quality tools. Preferred experience with version control systems (e.g., Git) and CI/CD pipelines. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job.

The Operations Data Analyst will be a key member of the operations team and will report directly to the Chief Operating Officer (COO). Acting as a data analyst, reviewing both operations and financial information, this is a unique opportunity to provide comprehensive guidance and support to decision-makers on high impact projects that optimize operational efficiency and effectiveness. Primary responsibility includes compiling, analyzing and communicating data that can be effectively translated to action for Operations leaders. ESSENTIAL FUNCTIONS: To perform this job successfully, an individual must be able to perform each essential function satisfactorily with or without accommodation. The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Analyzing revenue and financial information, conducting process reviews, identifying key business drivers, and managing risk and compliance issues. Involvement in areas such as Reporting and Analytics, Strategy and Performance, Financial Performance, Performance Improvement & Benchmarking, Revenue Cycle Efficiency, Accuracy and Growth, and Payment Integrity. Working in a team environment while using independent judgment and critical thinking skills to gather data, frame situations, and provide practical solutions that add value based on organizational needs. Responsibilities will include working with senior executives on business-driven technology initiatives to deliver value across the organization, executing day-to-day operations, building and managing relationships, ensuring exceptional team performance, and producing high-quality, zero-defect deliverables that effectively align with organization priorities. On occasion, visit clinic and retail sites to validate information, review workflows and processes, and provide analysis and recommendations. Work closely on complex assignments across various areas including Reporting and Analytics Strategy, Data and Analytics, and Financial Performance. Collect, categorize, and analyze data from multiple sources with varying structures and degrees of completeness. Develop and reconcile complex reports from multiple data sources to validate accuracy and completeness. Use data analysis tools such as Power BI, Tableau, SQL Server, Superset, Alteryx, MS Access, and Excel to analyze large-scale data and derive insights. Build and maintain dashboards to display key information to high-level business stakeholders. Create and present data analysis and internal team stakeholders. Conduct analyses for large transformational technology projects across data areas such as Infrastructure, Visualization and Insights, Integrity and Governance, and Strategy and Management. Develop a point of view on the impact of respective work to address key business issues. Assess and identify business needs via standard assessment and evaluation techniques. Evaluate and validate analysis to support the development of client scope, timeline, cost, and recommendations. These individuals analyze business needs, develop operational strategies, and offer guidance and support to help operations streamline processes, improve productivity, and drive business performance. Possess a broad understanding of various aspects of operations. Provide comprehensive guidance and support in optimizing operational efficiency and effectiveness. Analyze and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with operations leadership to ensure collective ownership of quality, timelines, and deliverables. Maintains an appropriate professional appearance and demeanor in accordance with Company policies. Keeps commitments and keep direct supervisor informed of work progress, timetables, and issues. Maintains strict compliance with State, Federal and other regulations (e.g., OSHA, WC, HIPAA, ADA, FEHA, DOL, HR policies and practices). Other duties as assigned by management. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This is primarily an office classification. Temperature conditions are controlled with limited direct exposure to hazardous physical substances. The noise level in the work environment is usually low to moderate. While performing the duties of this job, the employee is regularly required to sit, stand, walk, keyboard, to finger, handle, or feel, reach with hands and arms, see, talk and hear. The employee will frequently lift and/or carry reports, records and other materials that typically weigh less than 20 pounds. The employee is occasionally required to stoop, kneel, bend, or crouch. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, calculator, and other standard office equipment. Requirements QUALIFICATIONS: REQUIRED: Bachelor's degree in finance, Data Analytics or Business Management required. 3-5 years in prior Data Analyst positions DESIRABLE: Prior experience in the healthcare industry. KNOWLEDGE/SKILLS/ABILITIES/TALENTS: Ability to multi-task in a fast-paced environment with fluctuating priorities and deadlines. Strong organizational skills, attention to detail, ability to prioritize and meet deadlines. Analytical skills, working with large amounts of data and drawing conclusions to make recommendations based on data. Ability to clearly communicate orally or in writing findings and recommendations in an easy-to-understand way to colleagues and senior management. Ability to critically assess and evaluate data to recognize trends or anomalies. Accuracy and attention to detail not only in the data evaluated, but also in the models built to avoid any formula/structural mistakes. Detail oriented, organized, process focused, problem solver, self-motivated proactive, customer service focused. Displays independent judgment by willingness to make timely and accurate decisions based on available information that is sometimes vague or limited in nature. Ability to prioritize tasks and projects with limited direction, while understanding and contributing to the success of the organization. Ability to operate effectively in a cross functional team environment. Team player and contributor coupled with excellent communication and interpersonal skills (oral and written). Ability to respond to common inquiries from customers, staff, vendors, or other members of the business community. Must address others professionally and respectfully by actions, words and deeds. Experience working with, and presenting to, senior executives. Excellent communication and presentation skills; be comfortable interacting with executive-level management.

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place. Our client, an investment firm, is seeking an experienced Technical Data Analyst to join their team in Los Angeles, CA! Responsibilities: Lead the elicitation of technical business requirements gathering through interviews, workshops, and collaborative sessions with internal stakeholders (across front/middle/back-office) and external technology vendors. Solution design and validation while working with IT architects, developers, and third-party vendors to translate business requirements into technical specifications and ensure alignment with the firm's IT strategy. Analyze and document the integration of various enterprise systems (data warehouse, financial reporting, portfolio management systems) and provide recommendations for technical improvements. Map, review, and optimize business processes in relation to technical solutions, identifying areas for automation and efficiency. This includes recognizing patterns and conceptualizing processes. Communicate effectively with both business and technical stakeholders, ensuring clear understanding of requirements, timelines, and deliverables. Identify, create, and facilitate process design changes by conducting complex business and systems process analysis and design, focusing on quality improvement and data management to ensure data reliability and validity. Develop process improvements or re-engineering strategies, recommend eliminations where necessary, integrate new systems and processes with existing ones, and partner with internal clients and vendors to ensure systems provided align with long-term business strategies. Develop comprehensive documentation, including process flows, data models, use cases, technical requirements, and user stories, ensuring clarity for development teams and stakeholders. Collaborate closely with developers to implement the requirements, develop test plans, conduct user acceptance testing (UAT), and provide necessary guidance to testers during QA process. Stay current with needs and strategies; utilizing formal and informal written communication methods (for example, emails, PowerPoint presentations, executive updates, task lists, updates) to communicate updates and findings; and facilitating project meetings and presentations to all types of diverse audiences (for example, senior management, Customers, technical staff). Lead or participate in multiple projects by completing and updating project documentation; managing project scope; adjusting schedules when necessary; determining daily priorities; ensuring efficient and on-time delivery of project tasks and milestones; following proper escalation paths; and managing client and vendor relationships. Analyze and evaluate business requirements, consulting with personnel from various departments to identify opportunities for developing technical solutions that automate and improve business processes. Balance the requirements and needs of multiple departments/divisions to identify the best technical solutions. Participate in developing strategic plans for systems and applications. Qualifications: 6 - 10 years of experience in a technology-oriented environment; ideally in a private equity, financial services, or investment management environment (is a plus!). Experience in software development lifecycles (Agile, Waterfall), project management, and working with cross-functional teams. Proficiency in business analysis tools (e.g., JIRA, Confluence, MS Visio, Excel), database/querying tools (e.g., SQL), and PowerBi for data visualization. Strong background in technology solutions, data architecture, and systems integration, with a deep understanding of private equity operations and workflows. Strong knowledge of enterprise-level applications (e.g., CRM systems, portfolio management tools, financial reporting systems). Familiarity with cloud technologies, data warehousing, and API integration. Ability to dissect complex technical and business problems, providing detailed analyses and actionable recommendations (proactive and reactive). Must have experience working on large scale projects as well as handling and prioritizing day-to-day operational requests from various stakeholders. Strong project management, ability to successfully manage multiple tasks at any given point, strong relationship building skills & communication skills. Understanding of indices, fundamentals and analytical data, returns level data etc. Strong ability to adapt to new tools and processes as part of continuous improvement. Excellent interpersonal, written, and verbal communication skills; able to convey technical concepts to non-technical stakeholders at all levels ranging from C-level executives to operational analysts. Excellent organization and documentations skills, with the ability to design and facilitate a group process, elicit contributions, stimulate. Successful track record in understanding and negotiating needs and expectations of multiple stakeholders. Knowledge, Skills, & Abilities: Requires minimal supervision; models effective leadership skills; communicates effectively with other project team members. Demonstrate decisiveness in resolving business problems, making decisions and identifying priorities. Critical thinking and problem-solving skills. Good knowledge of Project/Program Management practices, processes, and tools. Works creatively and analytically in a problem-solving environment demonstrating teamwork & innovation. Listens intently to what other people are saying, taking time to understand the points being made, asking questions when appropriate, and allowing for professional courtesy in conversations. Builds mutual trust and encourages respect and cooperation among team members. Proven ability to demonstrate a drive for results and accountability of business needs. Proven ability to work in an ambiguous environment and collaborate across multiple areas in order to achieve a common business objective. Interpersonal skills to influence and spur change, facilitate and enhance performance within a cross - functional environment. Detail oriented with excellent follow-through skills. Ability to prioritize, plan, and organize work/deliverables. Influential, focused, and versatile team player that is comfortable under pressure. Takes steps to preserve the high confidentiality of strategic business data.

The Encounter Data Analyst I, interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions. Works directly with clients and project and business leaders to identify analytical requirements. This position is responsible for analyzing and correcting rejected encounters in a timely manner for Clearing House and Direct submitters. This position is accountable to ensure that encounters are corrected according to Health Plan industry standards and guidelines set by CMS and DHCS. Must be able to work fully onsite in Northridge, California. Education and / or Experience: Proficiency in Word, Excel, Access, Outlook, EZCAP and Encoder Pro. Knowledge of Claim adjudication process (Professional & Institutional) required. Knowledge in SQL Server. Previous experience in a medical group / healthcare setting. Proficiency in running data queries, analyzing and reconciling using multiple data sources. Knowledge and experience in Project Management preferred. Excellent time management skills. Outstanding communication skills. Fee schedule knowledge. Diagnosis and procedures codes knowledge preferred. Understanding of the Health Care industry, benefits, and eligibility processes preferred. Medical group or IPA operations and information systems management preferred. Ability to be a problem solver. A bachelor's degree from a four-college or appropriate industry experience and/or certification preferred. Essential Duties and Responsibilities include the following: Correct rejected encounters , follow CMS and DHCS Claims processing guidelines and industry standard in correcting rejected encounters Responsible for the entry of claims system support tables and oversight of processes to ensure our groups are meeting 5010 requirements and required to perform specialized area data entry or general data maintenance for eligibility, providers, fee sets, and benefits or any other areas that require ongoing support. Conduct Root Cause analyst for encounter errors, meet with departments to go over processes or programming to minimize root cause. Create and maintain an encounter error library. Analyze trends of rejected encounters. Develop and test internal audit/IDM reports to prevent rejected. Follow through that departments are maintaining audit reports. Create policy and procedures to correct rejected encounters. Create daily and weekly reports. Establish and maintain strong relationships with Health Plans, Encounter Clearing Houses, and internal stakeholders to fix, prevent, and to obtain extra support in resolving encounter errors. Educate internal stakeholders regarding regulator changes for encounters. Lead and attend meetings as required. Provides training to staff member in encounter corrections process. Adhere to Data integrity policies for all system configurations. Performs other duties as necessary. The pay range for this position at commencement of employment is expected to be between $28- $30 per hour; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, licensure, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. As one of the fastest growing Independent Physician Associations in Southern California, Regal Medical Group, Lakeside Community Healthcare & Affiliated Doctors of Orange County, offers a fast-paced, exciting, welcoming and supportive work environment. Opportunities abound, and enterprising, capable, focused people prosper with us. We promote teamwork, nurture learning, and encourage advancement for all of our employees. We want to see you excel, because we believe that your success is our success. Full Time Position Benefits: The success of any company depends on its employees. For us, employee satisfaction is crucial not only to the well-being of our organization, but also to the health and wellness of our members. As such, we are firmly dedicated to providing our employees the options and resources necessary for building security and maintaining a healthy balance between work and life. Our dedication to our staff is evident in our comprehensive benefits package. We offer a very generous mixture of benefits, including many employer-paid options. Health and Wellness: Employer-paid comprehensive medical, pharmacy, and dental for employees Vision insurance Zero co-payments for employed physician office visits Flexible Spending Account (FSA) Employer-Paid Life Insurance Employee Assistance Program (EAP) Behavioral Health Services Savings and Retirement: 401k Retirement Savings Plan Income Protection Insurance Other Benefits: Vacation Time Company celebrations Employee Assistance Program Employee Referral Bonus Tuition Reimbursement License Renewal CEU Cost Reimbursement Program Business-casual working environment Sick days Paid holidays Mileage Employer will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the LA City Fair Chance Initiative for Hiring Ordinance.

Salary: $9852.82-$13278.10 Monthly Community Programs is a program office within Health Services Administration, a division under the Los Angeles County Department of Health Services (DHS). In addition to other responsibilities, this position may lead the tracking, reporting, quality assurance, and billing efforts for CalAIM, a Medi-Cal waiver program. They will supervise and support a team of data scientists who will provide data collection, analytic, and billing support for CalAIM services tracking and Medi-Cal billing while simultaneously building dashboards and providing regular descriptive analyses. ESSENTIAL FUNCTIONS 1. Management and Supervision Provides administrative and technical supervision to their team of data scientists who are responsible for conducting data science projects and other advanced research and analytics. Plans, organizes, supervises, manages, and evaluates highly technical and complex assignments. Creates plans designed to accomplish long-term goals Ensures work is prioritized appropriately and that all deadlines are met Supports individual team members in their professional goals Responsible for the quality and accuracy of team deliverables 2. Reporting and Analysis Ensures regular reporting occurs within specified deadlines Oversees the development, implementation, and maintenance of reports, dashboards, and analysis tools Regularly manages special projects and assignments, such as ad-hoc department reporting and program analyses Ensures that processes and procedures used for all reporting and analyses are rigorously documented 3. Database Development and Maintenance Takes the lead in the buildout of a new Community Programs database, including overseeing data onboarding and cleaning Collaborates with IT group and program managers to identify departmental or divisional business needs and issues of strategic importance; implements enhancements to existing systems, recommends alternative systems, and assists in developing and implementing new data engineering, data modeling, and data science solutions as appropriate Helps refine program management practices through the creation of new reporting and analytical tools Supervises the design, buildout, and maintenance of analytical support tools to be used within the Department of Health Services, by housing and service providers, and by other external stakeholders 4. Project Management: Convenes and facilitates discussions with stakeholders to design and implement tools and reports Manages the design, development, implementation, and maintenance of reports, dashboards, and analysis tools 5. Program and Provider Support Provides regular analyses of the impact of changes in management practices and policies Designs program reports, analyzes performance, and provides resulting analyses to stakeholders. 6. Specific Deliverables Standardization and automation of Quality assurance reports and dashboards Managed care plan reporting The cleaning, creation, and tracking of Community Supports CalAIM claims Creation of tracking tools and dashboards for CalAIM stakeholders Quickly and effectively troubleshooting bugs Designing and implementing creative solutions for new and changing program requirements Delivering timely and accurate responses to ad-hoc data-related requests Shepherding data-driven continuous quality improvement initiatives for CalAIM service providers Ensuring that internal and external quality assurance, performance, and operations reports meet needs and are delivered regularly Ensuring that all billing and required reporting go out accurately and on time JOB QUALIFICATIONS The ideal candidate has experience working directly with a client-centric relational database and with managing individuals. They have strong technical knowledge and are comfortable advising on complex build outs within a SQL database. They are comfortable with a variety of analytical tools and have taken the lead on projects where the best path forward is unclear. They are a seasoned manager and effective facilitator. They have a customer service mindset. Education/Experience Option I: Two (2) years of experience leading* the development and application of methods to identify, collect, process, and analyze data using advanced statistical prediction, inference, and optimization and providing ongoing support to decision-makers to strengthen data-driven program design and management, at a level equivalent to the Los Angeles County class of Senior Data Scientist.** Must have at least four (4) years of successful supervisory history with polished oral and written communication skills. Option II: ***A Bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, research methods or statistical analysis**** - AND- Eight (8) years of experience, including four (4) years supervising a team of data science professionals and serving as subject matter expert*****, and coordinating and overseeing complex****** data science projects to support program, policy, and operational decision-making. A Master's or Doctoral degree from an accredited college or university in applied research, such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health, may substitute for up to two (2) years of experience. Must also have polished oral and written communication skills. *For this examination, lead experience is defined as assigning, coordinating, and reviewing the work, ensuring proper work methods are followed and providing technical assistance and training. A lead person is a Senior Data Science team member who provides technical assistance to other team members but does not supervise. **Experience at the level of Senior Data Scientist is defined as: Under general supervision, leads* the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results to decision-makers and provides ongoing support to strengthen data-driven program design and management. ***In order to qualify under Option II, you must provide a legible copy/image of your official transcripts from an accredited institution which shows the degree conferred, the area of specialization, and the relevant course work specified in the Requirements at the time of filing, or by email to the analyst within seven (7) calendar days of filing online. ****Exercises administrative and technical supervision over a Data Analysts and Data Scientists team. *****Subject Matter Experts (SMEs) are persons who have developed expertise about a particular job classification over time through academic learning and experience in the various Data Science domains. ******For this examination, complex refers to any project that contains the following steps: Business Understanding, Data Mining, Data Cleaning, Data Exploration, Feature Engineering, Predictive Modeling, and Data Visualization. Certificates/Licenses/Clearances Successful clearing through the Live Scan process with the County of Los Angeles. In accordance with “Ban the Box” legislation HFH adheres to a fair chance process. PHYSICAL DEMANDS Stand Not Applicable Walk Not Applicable Sit Not Applicable Handling / Fingering Not Applicable Reach Outward Not Applicable Reach Above Shoulder Not Applicable Climb, Crawl, Kneel, Bend Not Applicable Lift / Carry Not Applicable Push/Pull Not Applicable See Constantly Taste/ Smell Not Applicable Not Applicable Not required for essential functions Occasionally (0 - 2 hrs/day) Frequently (2 - 5 hrs/day) Constantly (5+ hrs/day) WORK ENVIRONMENT Hybrid work environment, with scheduling dependent on business needs. When not working virtually, it is a general office setting, indoors, temperature controlled. EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

Team Name: It takes a Blizzard to make a Blizzard game, and that level of effort doesn't end once the game is released; we support our games for years after they're in the hands of gamers world-wide. Global Insights works closely with the game development, business, and internal service teams at Blizzard to produce insights and models that enable us to make the most epic player experiences. The AI&ML(machine learning) team within Global Insights focuses on applying the latest in key research areas to build lasting data products and tools for our game development and business teams. We are looking for a Data Scientist who has experience in reinforcement learning to join our AI&ML team. Blizzard data scientists design and deploy data-powered products and services that scale to the terabytes of data that Blizzard games generate every day. The ideal candidate is passionate about applying machine learning, specifically reinforcement learning, to gameplay AI and has experience developing and deploying the solutions to real-world problems. Responsibilities Research and develop state-of-the-art machine learning solutions for reinforcement learning based gameplay AI to enhance game development and gameplay objectives. Work closely with machine learning engineers and software engineers to deploy, automate, and maintain models seamlessly on production systems. Communicate about machine learning models and products to both technical and non-technical audiences. Minimum Qualifications Master's or PhD in computer science and machine learning related field with a specialization in single-agent and multi-agent RL in games or robotics. Hands-on applied or research experience with one or more of the following: reinforcement learning, imitation learning, optimization, supervised/unsupervised learning, etc. Proficient in Python and experienced in at least one other higher-level programming language like Java, C++, C#, Scala, etc. Preferred Qualifications Experience with game engines like Unreal or Unity. Experience with cloud computing services like Google Cloud, AWS (Amazon Web Service), or Azure. Experience applying reinforcement learning to a real-time application or environment. Experience working with headless cloud computing resources in a parallelized compute environment. A track record of original contributions to research communities of ML, AI, and reinforcement learning. Practical experience with Tensorflow, Pytorch or Keras. The Global Insights team prides in its dedication to fostering a healthy work-life balance, promoting mentorship at every level, and prioritizing mental and physical wellbeing. We offer a robust mentorship program for career development and provides opportunities to build rapport among team members. We are committed to providing growth opportunities for team members to look forward to. Blizzard Entertainment is a global company committed to growing our employees along with the business. We offer generous benefits and perks with an eye on providing true work / life balance. We've worked hard to foster an intensely collaborative and creative environment, a diverse and inclusive employee culture, and training and opportunity for professional growth. Our people are everything. Our core values are real, and our mission has never changed. We are dedicated to creating the most epic entertainment experiences…ever. Join us! We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $77,500.00 - $143,376.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

The Operations Data Analyst will be a key member of the operations team and will report directly to the Chief Operating Officer (COO). Acting as a data analyst, reviewing both operations and financial information, this is a unique opportunity to provide comprehensive guidance and support to decision-makers on high impact projects that optimize operational efficiency and effectiveness. Primary responsibility includes compiling, analyzing and communicating data that can be effectively translated to action for Operations leaders. ESSENTIAL FUNCTIONS: To perform this job successfully, an individual must be able to perform each essential function satisfactorily with or without accommodation. The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Analyzing revenue and financial information, conducting process reviews, identifying key business drivers, and managing risk and compliance issues. Involvement in areas such as Reporting and Analytics, Strategy and Performance, Financial Performance, Performance Improvement & Benchmarking, Revenue Cycle Efficiency, Accuracy and Growth, and Payment Integrity. Working in a team environment while using independent judgment and critical thinking skills to gather data, frame situations, and provide practical solutions that add value based on organizational needs. Responsibilities will include working with senior executives on business-driven technology initiatives to deliver value across the organization, executing day-to-day operations, building and managing relationships, ensuring exceptional team performance, and producing high-quality, zero-defect deliverables that effectively align with organization priorities. On occasion, visit clinic and retail sites to validate information, review workflows and processes, and provide analysis and recommendations. Work closely on complex assignments across various areas including Reporting and Analytics Strategy, Data and Analytics, and Financial Performance. Collect, categorize, and analyze data from multiple sources with varying structures and degrees of completeness. Develop and reconcile complex reports from multiple data sources to validate accuracy and completeness. Use data analysis tools such as Power BI, Tableau, SQL Server, Superset, Alteryx, MS Access, and Excel to analyze large-scale data and derive insights. Build and maintain dashboards to display key information to high-level business stakeholders. Create and present data analysis and internal team stakeholders. Conduct analyses for large transformational technology projects across data areas such as Infrastructure, Visualization and Insights, Integrity and Governance, and Strategy and Management. Develop a point of view on the impact of respective work to address key business issues. Assess and identify business needs via standard assessment and evaluation techniques. Evaluate and validate analysis to support the development of client scope, timeline, cost, and recommendations. These individuals analyze business needs, develop operational strategies, and offer guidance and support to help operations streamline processes, improve productivity, and drive business performance. Possess a broad understanding of various aspects of operations. Provide comprehensive guidance and support in optimizing operational efficiency and effectiveness. Analyze and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with operations leadership to ensure collective ownership of quality, timelines, and deliverables. Maintains an appropriate professional appearance and demeanor in accordance with Company policies. Keeps commitments and keep direct supervisor informed of work progress, timetables, and issues. Maintains strict compliance with State, Federal and other regulations (e.g., OSHA, WC, HIPAA, ADA, FEHA, DOL, HR policies and practices). Other duties as assigned by management. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This is primarily an office classification. Temperature conditions are controlled with limited direct exposure to hazardous physical substances. The noise level in the work environment is usually low to moderate. While performing the duties of this job, the employee is regularly required to sit, stand, walk, keyboard, to finger, handle, or feel, reach with hands and arms, see, talk and hear. The employee will frequently lift and/or carry reports, records and other materials that typically weigh less than 20 pounds. The employee is occasionally required to stoop, kneel, bend, or crouch. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, calculator, and other standard office equipment. Requirements QUALIFICATIONS: REQUIRED: Bachelor's degree in finance, Data Analytics or Business Management required. 3-5 years in prior Data Analyst positions DESIRABLE: Prior experience in the healthcare industry. KNOWLEDGE/SKILLS/ABILITIES/TALENTS: Ability to multi-task in a fast-paced environment with fluctuating priorities and deadlines. Strong organizational skills, attention to detail, ability to prioritize and meet deadlines. Analytical skills, working with large amounts of data and drawing conclusions to make recommendations based on data. Ability to clearly communicate orally or in writing findings and recommendations in an easy-to-understand way to colleagues and senior management. Ability to critically assess and evaluate data to recognize trends or anomalies. Accuracy and attention to detail not only in the data evaluated, but also in the models built to avoid any formula/structural mistakes. Detail oriented, organized, process focused, problem solver, self-motivated proactive, customer service focused. Displays independent judgment by willingness to make timely and accurate decisions based on available information that is sometimes vague or limited in nature. Ability to prioritize tasks and projects with limited direction, while understanding and contributing to the success of the organization. Ability to operate effectively in a cross functional team environment. Team player and contributor coupled with excellent communication and interpersonal skills (oral and written). Ability to respond to common inquiries from customers, staff, vendors, or other members of the business community. Must address others professionally and respectfully by actions, words and deeds. Experience working with, and presenting to, senior executives. Excellent communication and presentation skills; be comfortable interacting with executive-level management.

Salary Range: $8,840.09 - $11,912.82 monthly The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance. The Data Scientist is responsible for conducting advanced data analysis, developing predictive models, and generating actionable insights to support strategic decision-making. This role involves working on complex analytical projects, optimizing data pipelines, and contributing to both machine learning and statistical modeling efforts. The Data Scientist collaborates with stakeholders to understand business challenges and ensure data-driven solutions align with program objectives and organizational goals. ESSENTIAL FUNCTIONS Collaborates with division, department, and countywide stakeholders to solicit, define, and manage data science projects from conception through implementation, including identifying and developing statements of business problems; conducting exploratory data analysis and data mining; developing model specification requirements; and conducting advanced statistical analyses. Independently conducts advanced analytical studies for the resolution of business problems and transfigures data into critical information by selecting and deploying appropriate advanced statistical techniques such as machine learning, bivariate and multivariate analyses, predictive/prescriptive analytics, and optimization. Works with departmental stakeholders to document business requirements and helps frame business problems so that appropriate corresponding data science techniques can be identified and applied. Develops and presents visualizations of findings and recommendations that can be used to support business decisions and allocate resources. Contributes to advanced analytic products (e.g., Recommender Engines, Auto Classification algorithms, Predictive Scoring, geo-spatial clustering, NLP classifier, etc.) and helps place them in production. Recommends ongoing improvements to methods and algorithms that lead to findings, including new information. Provides business metrics for departmental projects to show improvements both initially and over multiple iterations. Provides ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed. Works with functional teams to develop and implement products, services, and tools, such as dashboards and reports, emerging from the analysis. Conveys findings and conclusions of work orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, and stakeholders. JOB QUALIFICATIONS The ideal candidate possesses strong analytical and problem-solving abilities, enabling them to extract insights from complex datasets and drive data-driven decision-making. They should have excellent communication skills to collaborate effectively with both technical and non-technical stakeholders. A solid understanding of machine learning, statistical modeling, and data governance best practices is essential. Additionally, candidates should be adaptable and proactive in exploring new methodologies to drive continuous improvement and ensure alignment with organizational priorities. Education/Experience Bachelor's or Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science, advanced analytics, or a similar role. Experience with statistical modeling, machine learning, and predictive analytics. Certificates/Licenses/Clearances Successful clearing through the Live Scan and health clearance processes with the County of Los Angeles. Other Skills, Knowledge, and Abilities Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Azure, GCP). Understanding of data pipeline development and ETL processes. Strong analytical and problem-solving skills. Ability to communicate technical findings to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Passion for learning and professional growth. Agile methodologies PHYSICAL DEMANDS Stand: Not applicable Walk: Not applicable Sit: Frequently Handling / Fingering: Constantly Reach Outward: Constantly Reach Above Shoulder: Not applicable Climb, Crawl, Kneel, Bend: Not applicable Lift / Carry: Occasionally - Not applicable Push/Pull: Occasionally - Not applicable See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5+ hrs/day) WORK ENVIRONMENT Hybrid EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.