Data Scientist Jobs in Norwalk, CA

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 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.

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.

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

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.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Sr Data Scientist to join our SMS Data Science Team in Newport Beach, CA. This role is hybrid. We believe in empowering our employees to get work done both in and out of the office. As a Senior Data Scientist, you'll play a key role in Pacific Life's growth and long-term success by providing model driven insights to business partners. If you have worked on projects with business partners to deliver insights through analytical modelling and rapid hypothesis testing, you're a great fit for this role. How you'll help move us forward: * Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process. * Collaborate with cross-functional teams, including underwriting, actuarial, and technology, to identify opportunities for process improvement and innovation. * Analyze large and complex datasets to extract actionable insights and support decision-making. * Develop predictive models to assess risk and improve underwriting accuracy. * Implement machine learning techniques to automate and optimize underwriting workflows. * Stay up-to-date with industry trends and advancements in data science and machine learning. * Mentor and guide junior data scientists and analysts. * Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. The experience you bring: * Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field. * Proven experience (8+ years) as a Data Scientist in the life/health insurance industry. * Knowledge of life insurance underwriting processes and regulations is a strong plus. * Strong proficiency in programming languages such as Python and SQL. * Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn). * Excellent analytical and problem-solving skills. * Strong communication and presentation skills. * Ability to work collaboratively in a team environment. What makes you stand out: * Experience in utilizing machine learning and AI on life insurance underwriting transformation. You can be who you are. People come first here. We're committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at ******************** What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. * Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents * Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off * Paid Parental Leave as well as an Adoption Assistance Program * Competitive 401k savings plan with company match and an additional contribution regardless of participation. #LI-KP1 #LI-hybrid Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $163,620.00 - $199,980.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. * Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents * Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off * Paid Parental Leave as well as an Adoption Assistance Program * Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Role Overview: As a Software Engineer specializing as a Data Scientist with an RFIC background, you will play a pivotal role in leveraging data-driven insights to enhance the design and optimization of RFICs. We are seeking a skilled and experienced RFIC (Radio Frequency Integrated Circuit) Designer with a particular focus on power amplifier design. You will collaborate with cross-functional teams, analyze complex data sets, and develop advanced algorithms and models that drive the next generation of RFIC technologies. If you are passionate about data science, RF engineering, software development and cutting-edge technologies, we'd love to hear from you! Responsibilities: Design and develop high-performance RFICs with a specialization in power amplifier circuits, including linear and nonlinear designs, gain control, and efficiency optimization. Utilize industry tools to simulate, model, and verify RF circuit designs and layouts. Perform design and analysis of active and passive components, ensuring robust performance across frequency ranges. Develop and refine custom RF components, including but not limited to amplifiers, mixers, oscillators, filters, and matching networks. Conduct thermal, electrical, and mechanical analysis of RFICs to ensure reliable performance under varying conditions. Collaborate closely with the product development team to integrate RFICs into larger systems and ensure compatibility with overall system design goals. Optimize designs for low power consumption, high linearity, and minimal distortion while meeting strict performance specifications. Support the transition from design to fabrication, assisting with layout generation, DFM (Design for Manufacturability), and tape-out activities. Troubleshoot and resolve complex RF design issues during simulation, prototyping, and testing phases. Stay current with emerging RFIC design methodologies and technologies, incorporating them into your work as appropriate. Provide mentorship and guidance to junior engineers and contribute to knowledge sharing within the team. Analyze and interpret datasets to extract meaningful insights for RFIC design and optimization. Collaborate with RF engineers and software development teams to integrate data science techniques into the RFIC design process. Create and maintain data pipelines and workflows to ensure efficient data handling and processing. Utilize machine learning and statistical methods to predict and improve RFIC performance and reliability. Contribute to the development of innovative software solutions that enhance RFIC design automation utilizing AI/ML technology. Qualifications Master's degree in engineering, computer science, or a related field. 3+ years of relevant experience in RFIC design related roles. In-depth knowledge of RF circuit design principles, including linear/nonlinear RF components, impedance matching, and noise figure optimization. Solid understanding of RF simulation techniques, layout optimization, and parasitic effects. 3+ years of relevant experience in Software Development. 3+ years of relevant experience in Data Analytics and Science. Proficiency in programming languages such as Python, C++ or Rust. Comprehensive technical expertise in data pipelines for machine learning and statistical analysis. Experience with version control systems (Git) and build automation tools. Passion for continuous learning and staying up-to-date with industry best practices. Join us at Keysight EDA and be a part of a dynamic team that's shaping the future of electronic design automation. Your contributions will make a significant impact on the development of cutting-edge RFIC technologies. We look forward to your application! #LI-MO1 Careers Privacy Statement *Keysight is an Equal Opportunity Employer. * Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws. The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below. California Pay Range: MIN $115,770. 00 - MAX $199,640. 00 Note: For other locations, pay ranges will vary by region This role is eligible for Keysight Results Bonus Program US Employees may be eligible for the following benefits: Medical, dental and vision Health Savings Account Health Care and Dependent Care Flexible Spending Accounts Life, Accident, Disability insurance Business Travel Accident and Business Travel Health 401(k) Plan Flexible Time Off, Paid Holidays Paid Family Leave Discounts, Perks Tuition Reimbursement Adoption Assistance ESPP (Employee Stock Purchase Plan)

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.

Who You'll Work With Global Services is comprised of collaborative, inclusive, cross-functional teams that work together to support our corporate functions. We push the boundaries of what's possible and deliver solutions that accelerate innovation at a global scale. Our teams include Information Technology, Legal, Information Security & Governance, Marketing, Operations, Finance & Accounting, People, and our Executive Office. The Talent & People Experience Team is dedicated to identifying and nurturing a remarkable group of bright, passionate, and experienced consultants who are self-motivated lifelong learners with a strong interest in technology and social learning. Our core values-creativity, innovation, collaboration, customer service, and flexibility-guide our efforts to attract, develop, and retain top talent. We aim to enhance employee experiences and drive organizational success without adding complexity. The ideal candidate will thrive in a start-up environment, where they will play a key role in defining and implementing new talent management processes, programs, and solutions. They will also excel in collaborating with internal clients to support their needs and foster a dynamic, supportive workplace. What You'll Do * Lead advanced data-driven initiatives within the Talent & People Experience team, driving improvements across hiring, staffing, and workforce planning. * Elevate Slalom's people capabilities through optimizing staffing processes, understanding attrition and retention drivers, identifying and rewarding top performers, and designing personalized professional development journeys. * Conduct ad-hoc analyses on key workforce metrics (e.g., relationship between team tenure and engagement) while also managing longer-term projects such as predicting future client demand and recommending workforce strategies. * Collaborate with executives and key stakeholders to transform business questions into impactful data insights and products that inform strategic decisions. * Leverage modern cloud-based data platforms, predictive analytics, and data visualization tools to deliver high-impact insights that drive people-focused outcomes across Slalom. * Partner with data scientists, analysts, architects, and engineers in a collaborative environment to enhance organizational excellence. * Contribute to the evolution of Slalom's customized data science tools, integrating AI technologies to optimize and scale analytical processes. * Create and maintain data visualizations and client ready dashboards to effectively communicate findings. What You'll Bring * Advanced proficiency in Python, including expertise in data science (e.g., Pandas, Polars, NumPy, SciPy), data visualization (e.g., Matplotlib, Seaborn, Plotly), and reporting automation (e.g., xlwings, python-pptx) packages. * Experience with cloud platforms (e.g., AWS) and modern data science tools (e.g., SageMaker, ClearML, Lightning.ai). * Proven success in a diverse range of data science initiatives including ad-hoc analyses, rapid prototyping, predictive modeling, and full-scale model development, testing, and deployment. * Strong ability to transform data into strategic insights and communicate effectively to both technical and executive audiences. * Ability to translate complex, ambiguous problems into actionable insights-asking the right questions, diving into the details, and bringing clarity through data. * Baseline proficiency in SQL for data retrieval, joining, aggregation, and filtering. * Experience with software engineering best practices, such as Git for collaboration and version control. * Familiarity with modern AI tools and large language models (LLMs) for accelerating data analysis and project delivery. * Dashboarding experience with tools like Power BI or Tableau, and familiarity with Snowflake is desirable. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $120,000 to $150,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

X Consultants, Inc. is seeking Senior Data Analyst Overview of Key Duties and Responsibilities: Work with a team to develop creative environmental project strategies and prepare work scopes of work. Participate in the preparation and implementation of work plans for site assessments and monitoring programs. Prepare technical reports with a focus on regulatory compliance, accuracy, clarity, succinctness, and document QA/QC Provide technical and general field support/oversight on various environmental site assessments including but not limited to soil vapor, soil, sediment, and groundwater Perform Groundwater monitoring purging and sampling utilizing stand volume purge and low flow methodologies Observe drilling and monitoring well installation and classifying soil and bedrock samples Peer review environmental site assessment reports prepared by other consultants Evaluate and interpret technical analytical data relative to project-specific clean-up goals or applicable screening levels Participate in communication with clients and regulatory oversight agencies Provide training and mentorship to junior staff This Job Might Be For You If You Have The Following: Minimum B.A./B.S. in Environmental Engineering, Geology, Environmental Science, or another related field Professional Engineer or Professional Geologist license (preferred) 3 to 5 years of related experience Passion for the environment and science A willingness to assist in training junior staff in field related procedures Highly motivated with excellent technical writing and documentation skills Ability to work independently and as part of a team Familiar with Phase I ESA ASTM/AAI requirements Currently have or willing to obtain a OSHA 40 Hour HAZWOPER certification Experience installing soil vapor and groundwater monitoring wells Experience performing Groundwater purging and sampling with the use of various groundwater monitoring pumps and water quality indicator meters (preferred) Experience accurately preparing soil boring logs, hydrographs, groundwater contour maps, field notes, sketches and other documentation of actions undertaken during site investigation and remediation projects Proficient understanding off current groundwater and soil sampling methods Excellent verbal, interpersonal, and written communication skills Rincon Consultants, Inc. is an award-winning leader in providing quality environmental consulting services throughout California. Recognized as the #1 ‘Best Environmental Services Firm to Work For' by the Zweig Group in 2021, our 400+ associates in 12 offices are dedicated professionals who combine their passion with our purpose. We partner with clients in sectors such as transportation, energy and infrastructure, oil and gas, water, commercial, private development, and government. The base salary range for this full-time position is $54,000-$85,000, plus benefits and bonus. At Rincon, our salary ranges are based on market median of similar jobs, according to third party salary benchmark surveys. The base pay that is actually offered will take into account internal equity and also may vary depending on the candidate's job-related knowledge, skills, and experience. Total Rewards Package* Includes: HMO, PPO, HDHP, Health Savings Account options Three Weeks Vacation accrued in the first year 401(k) / Profit Sharing Retirement Plan 2x/Year Bonus Opportunities Paid Sick Leave Eight Paid Holidays Flexible Spending & Dependent Care Employer-paid life and long-term disability insurance Dental, vision, prescription drug Supplemental life insurance Volunteer Pay for a Day Legal Shield, Identity Protection, Pet Insurance Professional Development Mentoring Patagonia Merchandise Partnership And much more!

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.

divp style="text-align:left"Job Posting Title:/pData Scientistp style="text-align:inherit"/pp style="text-align:left"Req ID:/p10113389p style="text-align:inherit"/pp style="text-align:left"Job Description:/ppb Department/Group Overview/b/pp The Disney Music Group (DMG) is the music hub for TWDC, encompassing all aspects of music commercialization and marketing: recorded music (Walt Disney Records and Hollywood Records), Disney Music Publishing, and Disney Concerts. DMG distributes music both physically and digitally, and also licenses music throughout the world in various forms of media including television, print, gaming, and consumer product. /pp/ppb Job Summary/b/pp As a member of DMG's Data amp; Analytics team, the Data Scientist will develop advanced capabilities and tools that enable a deeper understanding of how content, marketing, and distribution strategies impact product performance. In this role, you will innovate solutions through research, experimentation, model development, and algorithm design. The ideal candidate for this role possesses exceptional quantitative skills, a passion for tackling complex challenges in media and entertainment, and the ability to transform data into strategic opportunities. /pp/ppbspan Responsibilities/span/b/pullip Develop mathematical models, measurement frameworks, and algorithms to address business problems across recorded music, publishing, and concerts. Prototype solutions for implementation in analytic pipelines, tools, and operational workflows/p/lilip Design and execute experiments to assess the impact of content, product, and marketing strategies, delivering actionable and scalable insights/p/lilip Generate simulations and forecasts to quantify business opportunities, assess risks, and evaluate tradeoffs among potential strategies or tactics/p/lilip Employ machine learning, statistical analysis, and data mining methodologies on large-scale datasets to uncover patterns, trends, and drivers of audience behavior/p/lilip Closely collaborate with DMG Data amp; Analytics team members and cross-functional stakeholders/p/lilip Partner with Technology teams on various projects, contributing to solution discovery, design, build and QA/p/li/ulp/ppb Basic Qualifications:/b/pullip Minimum 3+ years of relevant data science experience/p/lilip Experience applying supervised and unsupervised learning techniques, including clustering, regression, and classification/p/lilip Knowledge of causal inference methods/p/lilip Ability to draw insights and conclusions from data to inform model development and business decisions/p/lilip Experience manipulating large-scale datasets and interpreting data trends from multiple disparate sources/p/lilip Hands on experience with SQL and numerical computing languages such as PySpark/Python, R/p/lilip Experience data mining within distributed systems such as Databricks, Snowflake, Google BigQuery/p/lilip Proficient with data exploration and visualization tools such as Tableau, Looker, DOMO/p/lilip Strong time management with ability to work in a fast-paced environment across multiple priorities/p/li/ulp/ppb Preferred Qualifications:/b/pullip Familiarity with music streaming services (Spotify, Apple, Amazon Music, YouTube), social media platforms (TikTok, FB/Instagram, X) and emerging technologies (digital assistants/voice)/p/lilipA passion for music and entertainment industry data/p/li/ulp/ppb Required Education/b/pullip Bachelor's degree in an analytical field including Statistics, Mathematics, Physics, Computer Science, Engineering, or other related quantitative field. Master's degree preferred. /p/li/ul The hiring range for this position in Burbank, CA is $114,900. 00 to $154,100. 00 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. p style="text-align:inherit"/pp style="text-align:left"Job Posting Segment:/pDisney Music Groupp style="text-align:inherit"/pp style="text-align:left"Job Posting Primary Business:/pDMGp style="text-align:inherit"/pp style="text-align:left"Primary Job Posting Category:/pData Sciencep style="text-align:inherit"/pp style="text-align:left"Employment Type:/pFull timep style="text-align:inherit"/pp style="text-align:left"Primary City, State, Region, Postal Code:/pBurbank, CA, USAp style="text-align:inherit"/pp style="text-align:left"Alternate City, State, Region, Postal Code:/pp style="text-align:inherit"/pp style="text-align:left"Date Posted:/p2025-02-19/div

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.