Senior Data Scientist jobs in Fountain Valley, CA

Job Description Come build, innovate, disrupt, and thrive! KSTA I.T. is actively seeking a Senior level engineer for an immediate full-time opportunity with our industry leading client. Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading. About the Opportunity Our client is a fast-moving, global tech company working at the intersection of AI, media analysis, and responsible content intelligence. Their mission is to help top-tier brands gain deeper insights and control over video and social media content across platforms like YouTube, Meta, TikTok, Instagram, and Snap. Their proprietary machine learning models and AI-driven frameworks provide enterprise clients with scalable, transparent, and precise content classification solutions. While our headquarters are U.S.-based, our reach and team are distributed worldwide. Your Role Were searching for a Senior Data Scientist with a Computer Vision specialization to take a lead role in building advanced video classification models. In this position, youll engineer and optimize deep learning pipelines designed to parse and interpret massive volumes of short- and long-form video content from top social platforms. Leveraging modern architecturesincluding transformer-based and multimodal modelsyoull collaborate with ML, MLOps, and data engineering experts to build layered AI systems that operate at scale. Youll help them stay on the leading edge of machine learning by applying new research, experimenting with fresh modeling approaches, and delivering production-ready systems that enhance brand safety, content understanding, and contextual relevance. We value contributors who are both highly technical and intellectually curious. Your Day-to-Day Might Include Developing and training image and video classification models to power large-scale content recognition systems Designing, deploying, and refining compound AI systems that leverage LLMs and RAG techniques to augment visual classification Processing and analyzing multi-terabyte datasets of social media content using scalable Python and SQL-based workflows Implementing ML pipelines and feature engineering using Ray, Pandas, and DBT Managing and optimizing inference workflows using tools like Triton Inference Server, ONNX, and TensorRT Maintaining rigorous testing, documentation, and code quality standards for all deliverables Collaborating closely with teams responsible for infrastructure (AWS, GCP, Kubernetes), observability (Datadog), and CI/CD (ArgoCD, Terraform, GitHub Actions) Tracking the latest research in vision-language modeling and integrating relevant findings into new prototypes and products Contributing to architecture and roadmap discussions for ML and data science initiatives Tech Ecosystem Languages: Python, SQL Storage & Search: Snowflake, Qdrant, OpenSearch, DynamoDB Data Processing: Ray, Pandas, DBT, FastAPI Infrastructure & Ops: AWS, GCP, Docker, Kubernetes, Terraform, GitHub Actions, ArgoCD, Datadog ML Frameworks: Triton Inference Server, Weights & Biases, HuggingFace Transformers, DVC, ONNX, TensorRT, CUDA Qualifications 2+ years of hands-on experience in machine learning, with a focus on computer vision Advanced degree in Computer Science, Machine Learning, or a related technical field Strong working knowledge of Python and SQL (Snowflake preferred) Experience designing, building, and deploying ML models, especially in distributed environments Familiarity with LLMs and Retrieval-Augmented Generation (RAG) architectures Solid grounding in software engineering principles including algorithms, data structures, and system design Comfort with cross-functional collaboration, including giving and receiving code reviews Strong written and verbal communication skills Passion for learning and experimenting with new ML tools and ideas About KSTA I.T.: Our name says it all; KSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success! KSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today! Where do you want to go? We've got the keys! ~ KSTA I.T. WWW.KeSTAIT.COM

Job Description Data Scientist (Retail Pricing) We have an immediate need for a Data Scientist (Retail Pricing) to join our client for a contract position that is remote capable. This position will lead dynamic pricing and optimization efforts for an e-commerce channel. Location: Remote. Hybrid in Orlando, FL or Glendale, CA preferred. This job expects to pay about $80-95/hr (W2 only) plus benefits What You’ll Do: Lead the development and implementation of advanced dynamic pricing models to optimize pricing strategies for e-commerce channel. Conduct statistical analyses and machine learning modeling to generate price recommendations that maximize margin and revenue growth. Design and execute A/B tests, geo-lift studies, and other experiments to measure the causal impact of pricing decisions. Leverage retail pricing expertise to perform elasticity modeling, promotional lift analysis, and competitive pricing evaluations. Develop and maintain robust forecasting models using time series and regression techniques to support pricing and demand planning. Utilize Python and SQL to build, deploy, and maintain scalable pricing tools and data pipelines. Present complex findings and pricing strategies to business leaders through clear data storytelling and compelling visualizations. Collaborate with the Merchandise Business Insight and Analytics team to support the broader product lifecycle and retail planning initiatives. What Gets You the Job: Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field. Retail Pricing Expertise (4–6+ years): Proven experience developing and optimizing pricing strategies in a retail environment, including elasticity modeling, promotional lift analysis, and competitive pricing insights. Advanced Statistical Modeling (4–6+ years): Deep knowledge of predictive modeling techniques such as regression, time series forecasting (e.g., ARIMA, Prophet), causal inference, and machine learning methods (e.g., XGBoost, LightGBM) applied to pricing and demand estimation. Experimental Design (5+ years): Proficiency in designing and analyzing pricing experiments, including A/B testing, geo-lift studies, and other causal frameworks to measure the impact of pricing changes. Python Proficiency (5+ years): Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC. SQL Expertise (5+ years): Strong command of SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines. Data Storytelling (5+ years): Skilled in communicating data-driven recommendations to senior stakeholders through clear, concise storytelling and visualizations using tools like Power BI, Tableau, or matplotlib. If we are still actively screening for this role, our AI Recruiter, Avery will email you to schedule a virtual meeting to learn more about your background. Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey—so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career! Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Job Description Areté is a growing research and development firm entrusted by the US military to provide innovative solutions to our nation’s hardest national security challenges. We have immediate openings for data scientists with strong physics, math, or computer science skills who can transform physical data into actionable intelligence. We work with a variety of platforms (satellites, aerial vehicles, ground vehicles, surface and underwater vehicles) and sensing modalities (visible and infrared optics, spectral imagers, lidar, radar, sonar). We apply sophisticated signal processing coupled with machine learning (ML) / artificial intelligence (AI) algorithms to identify threats around the globe, keeping all of us safe. As an employee-owned company we offer a collegial and exciting work environment with great compensation, benefits, and advancement opportunities. Discover your future with us. We are seeking an early to mid-career Data Scientist with a strong Physics/Math/Computer Science/Data Science background to work in the areas of machine learning, signal/image processing and detection, computer vision, physics-based modeling, and data analysis. This is a full-time, exempt, non-supervisory position which can be based in our Northridge, CA or Falls Church, VA offices. Primary Responsibilities: Research, develop, and test custom AI/ML-based algorithms Train Deep Neural Network (DNN) and feature-based algorithms for classification and regression on imagery and high-dimensional data Work with software engineers to implement your algorithms in real-time on a variety of high-performance, CPU and GPU-based computing hardware Quantify the effectiveness of your algorithms and present your results to the team and customers We have an impressive range of benefits, programs, and perks that we offer: Generous PTO and Leave Times Flextime Scheduling Bereavement Paid Time Off (PTO) Paid Parental Leave Financial Benefits 401K Retirement Plan Contribution Employee Stock Ownership Plan Continuing Education Funds Health, Medical, and Wellness Benefits Medical Insurance Dental & Vision Insurance Life Insurance and Long-Term Disability (LTD) Vision Reimbursement Qualities We Look For Creativity Integrity Passion Responsiveness Collaboration Experiences and Background We Look For: A degree in physics, mathematics, computer science, or data science Proficiency in Python Demonstrated Python development of custom DNNs and algorithm streams with packages such as PyTorch, TensorFlow, Scikit-Learn, Gymnasium, and OpenCV Excellent written and verbal communication skills Intellectual curiosity and a desire for continuous learning Ability to work with minimal supervision and collaborate with small teams Willingness to work onsite in the office 100% Must be able to obtain and maintain a TS/SCI security clearance and program access Nice to Have: Coding of recurrent neural nets, reinforcement learning, transformer nets Use of Large Language Models (LLMs) for generation of code and documentation, as well as coding of natural language interfaces, including fine tuning and ingestion of custom knowledge bases Experience with remote sensing (Electro-Optics, RADAR, LIDAR, SONAR) and military applications Experience with physical data and physics-based simulation Image and signal processing, computer vision Demonstrated experience with C/C++ programming GPU programming, parallel programming, and code optimization Active SSBI and TS/SCI eligibility The salary range for this role depends on the candidate’s level of professional experience: Data Scientist 1: $90,000 - $120,000 [required BS degree or higher] Data Scientist 2: $105,000 - $135,000 [minimum experience of BS+2 years, OR MS+0 years] Staff Data Scientist: $120,000 - $150,000 [minimum experience of BS+5 years, MS+3 years, or PhD+0 years However, Areté considers several factors when extending an offer of employment, including but not limited to: the position and associated responsibilities, a candidate’s work experience, education/training, and key skills. Other Considerations Areté is committed to the principles of equal employment opportunity and nondiscrimination, and we believe every person has the right to be treated with fairness, dignity, and equal consideration. Areté is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law. U.S. citizenship is required to meet position eligibility. Successful passage of a criminal background screen is required to meet position eligibility. Selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Areté will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring. Successful passage of a Department of Transportation (DOT) drug test is required to meet position eligibility. 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 website because of your disability. To request an accommodation, please contact Areté Human Resources at ************ for assistance.

Job DescriptionBenefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Vision insurance (Auriga Website: ******************* Auriga Corporation was established in 1990, to provide high-quality design, engineering and project management services for Electric Power, Telecommunication and Information Technology systems. Aurigas cliental includes: investor owned and municipal utilities, rail and transit agencies, federal, state and local government agencies, and international public and private sector organizations. Auriga Corporation is looking for an experienced, talented and self motivated individual to join our team to help us provide our customers with innovative and cost effective solutions and services. An ideal candidate will be excited to be part of a company that moves quickly on a constant flow of ideas, is able to wear multiple hats as needed, and has the drive to succeed. Auriga Corporation currently has following vacancies in the Los Angeles, California Office: Data Scientist Job Responsibilities: Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized grip. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Apply analytics, experimentation, causal inference and Large Language Model (LLM) to address business challenges. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis. Frame and solve ambiguous business problems while researching and developing new methodologies to solve them when needed. Minimum Qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. 4 years of experience in predictive modeling. Experience applying large language models to help solve problems. Auriga is an Equal Opportunity Employer. Auriga provides compensation and benefits commensurate with the qualifications and experience.

Job Description You could be a data scientist anywhere. Why us? Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) Disrupt a massive market and take us to a $10B business in the next few years Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: Bachelor’s degree in a quantitatively or intellectually rigorous discipline 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis High level of comfort with SQL or Python Who you are: You have a framework for problem solving and live by first principles You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. Qualifications: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

We are seeking an exceptional Senior Applied Data Scientist specializing in computer vision and image-based data to drive innovation within our pharmaceutical R&D division. You will be at the forefront of developing, fine-tuning, and optimizing advanced Computer Vision (CV), Convolutional Neural Networks (CNNs), and Generative AI models to enhance clinical and aesthetic programs. This role is a balance of research and practical application, working with emerging AI technologies to create cutting-edge solutions for image analysis in healthcare and life sciences. Responsibilities: Lead and innovate AI-driven projects involving Computer Vision, Generative AI for images, and Large Language Models (LLMs). Develop and fine-tune CNNs, SSM, and other deep learning models to enhance image processing in pharmaceutical applications. Research and implement state-of-the-art AI techniques to optimize model accuracy, speed, and robustness. Optimize LLM and CV frameworks for efficiency and scalability. Develop advanced ensemble models using fine-tuning and prompt engineering techniques. Collaborate with cross-functional teams to integrate AI-driven solutions into existing workflows. Stay updated with emerging AI trends and apply new methodologies to advance company research. Mentor junior team members, fostering a culture of learning and innovation. Experience: 7+ years of industry experience in machine learning, computer vision, or related areas. Strong expertise in Computer Vision, CNNs, SSM, and Generative AI for images. Expert proficiency in Python and familiarity with Postgres databases. Experience working in a Linux environment and with cloud platforms like AWS. Solid understanding of ML model evaluation, optimization, and deployment. Strong analytical and problem-solving skills with a passion for AI-driven solutions. Excellent communication and collaboration abilities. Demonstrated ability to innovate, solve complex problems, and contribute to AI advancements in pharma. Preferred Qualification: Additional experience in LLMs and their applications in AI-driven pipelines. Prior work in healthcare, biotech, or pharmaceutical AI applications. Experience with multi-modal AI systems integrating text and image processing. Skills: Computer Vision, CNNs, SSM, and Generative AI, LLMs, multi-modal AI systems, Linux, Python, AWS & Machine Learning. Education: MSc or PhD in Data Science, Machine Learning, AI, or a related field. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. About this facility:

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Risk Adjustment Data Validation (RADV) audits, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: a. 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: a. Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field Other: a. Excellent communication, analytical and collaborative problem-solving skills b. Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. c. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. d. Solid data structures & algorithms background. e. Strong programming skills in one of the following: Python, Java, R, Scala or C++ f. Demonstrated proficiency in SQL and relational databases. g. Experience with data visualization and presentation, turning complex analysis into insight. h. Experience in setting experimental analytics frameworks or strategies for complex scenarios. i. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. j. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: i. Healthcare experience ii. Experience in Big Data processing technologies: Hadoop, Spark, Cosmos iii. Experience in Azure, AWS or other cloud ecosystems. iv. Experience in NoSQL databases. v. Published work in academic conferences or industry circles. vi. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment vii. Knowledge of CMS Risk Adjustment Data Validation (RADV) audits 4. Work Environment: a. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data science product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness. Job Responsibilities: A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision. A person in this role is expected to be developing knowledge in media, marketing, and entertainment. * Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research design * Developing and interpreting the results of new formal models to forecast or predict business outcomes * Developing and interpreting the results of new formal models (e.g. marketing mix models, attribution models, etc.) to measure causal effects of marketing efforts or paid media * Overseeing the maintenance and improvement of existing statistical and machine learning models * Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence * Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance * Formulating and solving formal optimization problems * Effectively leveraging big data and cloud computing technologies to address business questions * Architecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teams * Developing and maintaining code for data science products in consultation with engineering teams * Optimizing code to make data science workflows run more efficiently * Consulting regularly with technology partners to ensure that proper data science tooling and platforms are available * Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries * Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data science products * Providing documentation and instruction to other scientists, engineers, or analysts about how to use data science products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making * Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data science products * Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence * Monitoring the health and deployment of statistical and machine learning models and optimization routines embedded in data science products * Building machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks as part of data science products * Using code and data science best practices to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways * Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways * Coordinating work with other science and technology teams at The Walt Disney Company Basic Education: * Bachelor's degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience * Demonstrated academic achievement in statistics and probability-typically involving graduate-level coursework * Relevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science Basic Qualifications: * 5+ years of experience * Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision * Some demonstrated knowledge of media and marketing as well as a desire to learn more * Desire to learn about the entertainment / media industries * Reasonable level of business acumen in addition to very strong technical skills * Proven creative problem-solving, decision-making and critical thinking skills * Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment * Demonstrated strong written and verbal communication skills * Strong leadership skills for a technical position * Ability to work independently as well as across teams in a diverse, international, collaborative environment * Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities * Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data * Proficiency in performing exploratory quantitative analysis * Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models * Advanced proficiency with Python * Proficiency with SQL * Demonstrated experience using big data technologies for data science-particularly Spark * Demonstrated experience working across technical functions * Demonstrated experience working with complicated systems * Familiarity with Tableau or other data visualization tool * Familiarity with cloud computing services * Familiarity with CI/CD and GitLab or GitHub Preferred Qualifications: * Graduate degree (Master's or Doctorate)-with significant graduate-level academic exposure to formal or quantitative methods and 3+ years of experience * Advanced proficiency with SQL * Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models * Proficiency with Tableau or other data visualization tool * Advanced proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data * Familiarity with the martech and adtech ecosystem The hiring range for this position in Burbank, CA is $138,900.00 to $186,200.00 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. About The Walt Disney Studios: For over 95 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today it brings quality movies, episodic storytelling, music, and stage plays to consumers throughout the world. The Walt Disney Studios encompasses a collection of respected film studios, including Disney, Walt Disney Animation Studios, Pixar Animation Studios, Marvel Studios, Lucasfilm, 20th Century Studios, and Searchlight Pictures. It is also home to Disney Theatrical Productions, producer of world-class stage shows. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Entertainment Operations LLC, which is part of a business we call The Walt Disney Studios. Disney Entertainment Operations LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

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 or Omaha, NE. Relocation assistance may be provided. 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 an inclusive workforce. Learn more about how we create a welcoming work environment at ******************** What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. #LI-KP1 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.

Salary Range: $9,333.00 - $12,576.46 Monthly Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS). HFH was created and put into implementation in support of the Los Angeles County Homeless Initiative recommendations in response to and in support of the County's effort to address and combat homelessness in the communities residing within Los Angeles County. Our organization follows a hybrid work structure where employees work both remotely and from the office, as needed. On November 5, 2024, LA County voters approved Measure A, a ballot initiative to implement a half-cent sales tax to fund homelessness solutions. Measure A is expected to generate over $1 Billion annually in perpetuity, 1.25% of which is distributed to Accountability, Data, and Research. Among the required research activities is the establishment and management of an Annual Evaluation Agenda (AEA), which will produce internal and external evaluations to test the causal impact of Measure A investments on desired outcomes. Those evaluations will include third-party evaluators selected through requests for proposals and must include voices with relevant lived experience. They are intended to shape decision-making around Measure A investments and drive continuous improvement and innovation. The Evaluation Agenda Manager reports to the Director of Data Analytics and Evaluation at Community Programs and is responsible for managing the AEA and the evaluations connected to it. For an evaluation professional, this is an opportunity for large, measurable impact to improve the lives of Los Angeles County's most vulnerable people. The Measure A AEA represents a once-in-a-generation opportunity to improve how the County uses millions of dollars dedicated to housing people and preventing homelessness. With equity, accountability, and innovation at its core, the agenda will shape how Los Angeles County learns from its investments, adapts its strategies, and delivers on its promise to address homelessness systemically and transparently. This role requires an experienced, strategic project manager with a strong understanding of quantitative and qualitative evaluation design, causal inference methodology, contracting processes, and public sector stakeholder engagement and communication. The ideal candidate will have a strong background in evaluation methodology and be detail-oriented, communicative, and able to manage multiple streams of work simultaneously. A commitment to establishing strong community partnerships is equally important, and knowledge of homelessness services systems and programs is desirable. ESSENTIAL FUNCTIONS Lead the coordination and management of the Measure A Evaluation Agenda, supporting the Director of Data Analytics and Evaluation in developing, maintaining, and updating the agenda in alignment with Measure A requirements. Review and assess causal impact evaluations, ensuring research designs are capable of answering the questions they pose in terms of statistical precision and causal identification. Manage the planning, scheduling, and facilitation of community and stakeholder engagement processes, including executive governance bodies, County departments and agencies, community-based organizations, and people with lived experience of homelessness. Drive forward the publication of the AEA, helping bring together diverse recommendations for its direction, develop actionable research questions and research strategies in response to community and leadership input, and prioritize questions around a timeline and roadmap for implementation. Support the procurement and management of evaluation contracts: draft requests for proposals, scopes of work, monitor deliverables, provide technical feedback on interim deliverables (such as analysis plans and draft reports) to contractors, escalate issues when needed. Track and report on progress across multiple ongoing evaluations, synthesizing findings and presenting updates to leadership and the community. These summaries of findings should identify pathways for action and impact to improve system performance. Coordinate the development and execution of Data Sharing Agreements (DSAs), Memoranda of Understanding (MOUs), Institutional Review Board (IRB) reliance agreements, and other legal and institutional agreements required for evaluation work. Draft, revise, and publish version-controlled evaluation agenda documents annually, in collaboration with evaluation staff, contractors, and external stakeholders. Contribute to the design and oversight of internal evaluation initiatives. Ensure that all evaluation work reflects Measure A principles of equity, transparency, accountability, and innovation. JOB QUALIFICATIONS Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist. 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, Public Health, or Public Administration that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Six (6) years of experience, including two (2) years in a lead capacity, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making. A Master's or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or Public Administration may substitute for up to two (2) years of experience. Education/Experience Masters degree or Ph.D. covering quantitative causal inference and evaluation methods strongly preferred (political science, public policy, public administration, sociology, public health, economics, etc.) Familiarity with homeless services systems and programs Demonstrated experience with contract management and project coordination, including writing scopes of work, overseeing vendors, and tracking deliverables Strong understanding of causal inference and evaluation design, including power analysis, quasi-experimental methods, randomized trial design, and meta-analysis Familiarity with additional evaluation methodologies, including qualitative methods, process-tracing, focus groups, participatory research principles, implementation science preferred Familiarity with public-sector contracting and procurement processes Experience managing stakeholder engagement, including close community engagement with marginalized populations Experience coordinating DSAs / MOUs / IRB protocols a plus Experience writing policy or evidence briefs summarizing research findings for non-technical decision-makers Commitment to advancing equity and using data to support transparency and continuous improvement Ability to translate complex evaluation findings into actionable insights that inform policy and countywide strategic planning Familiarity with continuous process improvement and related project management methodologies Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities Knowledge of homeless services systems, housing programs, and County governance structures Proficient in data visualization tools (e.g. Power Bi, Tableau, etc.) Familiarity with project management tools (e.g. Jira, Trello, Airtable, etc.) Familiarity with statistical software (e.g. R, Stata, Python, SAS, etc.) and cloud-based analytic tools (e.g. Databricks, Redshift, Bigquery) Familiarity with statistical power analysis and proficiency in statistical reasoning Strong facilitation skills for multi-stake holder discussions with government, community-based organizations, and individuals with lived experience of homelessness PHYSICAL DEMANDS Stand: Not Applicable Walk: Not Applicable Sit: Frequently Reach Outward: Occasionally Reach Above Shoulder: Occasionally Climb, Crawl, Kneel, Bend: Occasionally Lift / Carry: Occasionally - Up to 15 lbs Push/Pull: Occasionally - Up to 15 lbs 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 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.

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the Role In the role of Data Scientist, you will report to the Director of Machine Learning and Data Science. We are considering applicants for the location(s) of Los Angeles, CA or San Francisco. We are looking for a passionate Data Scientist to join our team, working with Senior Data Scientists and Machine Learning Engineers to enhance our suite of machine learning and AI-driven models and services. You will focus on critical areas such as churn and winback predictions, predictive lifetime value (LTV), financial forecasting, title- and catalog-level KPI forecasting (e.g., acquisition, viewership), high-value action analysis in subscriber lifecycle management, and recommendation systems. You will bring a foundation in statistical and machine learning fundamentals, coupled with expertise in modern data science tech stacks, to lead impactful solutions for both consumer-facing and partner-oriented programs. Core Responsibilities Develop and implement new models or enhancements to drive innovation in predictive analytics and personalized user experiences. Analyze large-scale datasets to uncover insights, identify trends, and inform model development and optimization. Apply statistical and machine learning techniques to solve complex business problems and improve model performance. Work with modern data processing tools, modeling frameworks, MLOps pipelines, and cloud infrastructure to ensure efficient and scalable workflows. Partner with cross-functional teams, including Machine Learning Engineers, AI Engineers, and Platform/Software Engineers, to integrate models into production environments. Document methodologies, experiments, and findings to support team collaboration and knowledge sharing. Stay current with advancements in data science, machine learning, and related technologies to bring modern approaches to our solutions. About You Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2+ Years of experience with statistical and machine learning fundamentals and their practical applications. 2+ Years of experience in developing and optimizing machine learning models for predictive analytics, forecasting, or recommendation systems. Hands on experience with Python and familiarity with data science libraries such as pandas, NumPy, scikit-learn, statsmodels, TensorFlow, or PyTorch. Experience with modern data processing tools (e.g., Apache Spark, SQL) and cloud infrastructure and services (e.g., AWS, Google Cloud, Databricks). Familiarity with MLOps practices and tools (e.g., Version Control, Pipelines, Containerization, and Orchestration) for model testing, deployment and monitoring. About the Team You will join an interdisciplinary team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and ML/AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team's culture as we work together to push the boundaries of what's possible in streaming and data-driven decision-making. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - Los Angeles, CA$104,333—$130,416 USDAbout our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/3**********2-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: ********************************************************************************************************** Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly ********************* email account.

Company DescriptionJobs for Humanity is partnering with CEDARS-SINAI to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: CEDARS-SINAI Job Description Join us as we translate today's discoveries into tomorrow's medicine! The Postdoctoral Scientist in the Tatonetti Lab at Cedars-Sinai will create and lead research to improve drug safety by leveraging clinical and molecular data. In the Tatonetti Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate drug safety, drug-drug interactions, and cancer pharmacology. Using emerging resources, such as electronic health records (EHR) and genomics databases, we are working to advance the science of pharmacology with a focus on serving traditionally underrepresented populations. To learn more, visit TLab - Data-Driven Drug Safety (tatonettilab.org). Are you ready to be a part of breakthrough research? Working independently but in close cooperation and in consultation with the Dr. Tatonetti and other Research Scientists, the Postdoctoral Scientist will perform routine and complex laboratory procedures throughout training period. May develop, adapt, and implement new research techniques and protocols. Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds. Primary Duties and Responsibilities: May assist in the preparation of grant proposals, but is not responsible for generating grant funds. May participate in publications and presentations as author or co-author. Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the PI. Analyzes, interprets, summarizes, and compiles data. Operates and maintains equipment and instruments. May observe MD-patient or MD-human research subject interactions as it pertains directly to the research being performed. Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience and Skills: Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Works independently on research projects designed by a mentor (typically the PI) within the area of specialization. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, operation and maintenance of specialized equipment. Excellent written and oral communication skills are essential. Knowledge of safety standards. Working Title: Postdoctoral Scientist - Tatonetti Lab - Data-Driven Precision Pharmacology Department: Computational BioMedicine Business Entity: Cedars-Sinai Medical Center Job Category: Academic/Research Job Specialty: Postdoctoral Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day Base Pay:$64,500.00 - $93,600.00

Job Description The Organization At TWG Group Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment. Data is one of our most valuable assets, and our commitment to AI allows us to transform that data into a powerful competitive advantage. We are pioneering a range of data and AI services that provide real-time intelligence to both our customers and workforce, enabling them to make informed decisions within interactive, cloud-native business applications. As we evolve into an AI-first, model-driven, and cloud-native company, we prioritize responsible data and AI practices that protect our customers and workforce while ensuring compliance within a regulated environment. Our goal is to lead by example, acting with the highest standards of ethics, responsibility, and transparency. This commitment drives our development of cutting-edge AI/ML business applications across our diverse product and service offerings. In this role, you will be at the heart of our data and analytics transformation, collaborating closely with management teams to achieve our strategic objectives and operational excellence. Our decentralized structure empowers each business unit to operate autonomously while benefiting from the strategic guidance and support of our central AI Solutions Group. Through our pioneering partnerships with major data and AI vendors, you will have the opportunity to work on transformative projects that will revolutionize marketing, distribution, customer acquisition, and internal processes. These initiatives are designed to enhance productivity, reduce costs, and create high-demand products and services. The advanced data systems we develop will grant management unparalleled access to real-time performance data, enabling swift, informed decision-making and agile business adjustments. Moreover, you will play a crucial role in leveraging our strategic relationships and equity positions in leading tech startups. These collaborations are not just about staying ahead of the competition—they are about creating true competitive advantages across our businesses. You will contribute to projects that are reshaping industries, from harnessing cloud-based supercomputing capabilities to driving key initiatives with major universities that are shaping the future of technology. At TWG Global, your work will directly contribute to our ambitious goal of generating sustained growth and superior returns, with expected annual equity returns exceeding 20%, including growing dividends. Join us as we push the boundaries of technology and innovation, delivering significant value across our portfolio while making a profound impact on the industries we serve. As Staff Data Scientist, you will lead the development and implementation of cutting-edge AI solutions to drive significant business impact, including cost optimization and revenue growth. Reporting to the Executive Director of AI Science, you will be a key strategic advisor and a custodian of institutional AI knowledge. You will drive the development of predictive modeling use cases, prioritize AI governance, and champion the ethical and responsible use of AI across the organization. This role requires a deep understanding of AI/ML techniques, strong leadership skills, and the ability to translate complex technical concepts into actionable business strategies. Key Responsibilities: Deliver cutting-edge AI/ML capabilities and tools in a project-based capacity to accelerate key business objectives, including cost savings and revenue generation. Develop advanced AI solutions, including time series forecasting, reinforcement learning, optimization and optimal decision-making, speech and conversational AI, and Graph AI. Champion the exploration and implementation of advanced AI techniques, including time series forecasting, reinforcement learning, optimization, and conversational AI, to address critical business challenges. Stay abreast of emerging trends and technologies, ensuring the organization remains at the forefront of AI innovation. Serve as a key contributor to the Foundation Model Task Force, driving the development and implementation of foundational AI models that will be leveraged across the organization. Ensure that all AI initiatives adhere to the highest standards of trust, transparency, safety, and security, fostering ethical AI practices and maintaining regulatory compliance. Develop and implement AI strategies that align with and accelerate business objectives, delivering tangible outcomes such as improved efficiency, cost reductions, and new revenue streams. Collaborate with business leaders, technical experts, and cross-functional teams to ensure AI/ML initiatives are integrated effectively and aligned with broader business strategies. Stay ahead of industry trends and drive continuous improvement by incorporating emerging AI technologies and methodologies into the organization's toolkit, ensuring the company remains at the forefront of AI innovation. Establish and manage performance metrics for AI/ML projects, ensuring that all initiatives are delivered on time, within scope, and achieve desired business outcomes. Requirements Ideally 8+ years experience in data science or developing machine learning models, working on cross-functional teams and managing complex, multi-faceted AI initiatives. Strong expertise in statistical analysis, machine learning, and data mining, including time series forecasting, reinforcement learning, optimization, and speech or conversational AI. Proficiency in programming languages such as Python, R, or similar, and experience with data visualization tools. Excellent leadership, communication, and interpersonal skills. Ability to think strategically and drive business results through data insights. Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field. Benefits Position Location This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case-by-case basis. Compensation Th base pay will for this position is $285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data science product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness. **Job Responsibilities:** A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision. A person in this role is expected to be developing knowledge in media, marketing, and entertainment. + Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research design + Developing and interpreting the results of new formal models to forecast or predict business outcomes + Developing and interpreting the results of new formal models (e.g. marketing mix models, attribution models, etc.) to measure causal effects of marketing efforts or paid media + Overseeing the maintenance and improvement of existing statistical and machine learning models + Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence + Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance + Formulating and solving formal optimization problems + Effectively leveraging big data and cloud computing technologies to address business questions + Architecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teams + Developing and maintaining code for data science products in consultation with engineering teams + Optimizing code to make data science workflows run more efficiently + Consulting regularly with technology partners to ensure that proper data science tooling and platforms are available + Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries + Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data science products + Providing documentation and instruction to other scientists, engineers, or analysts about how to use data science products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making + Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data science products + Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence + Monitoring the health and deployment of statistical and machine learning models and optimization routines embedded in data science products + Building machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks as part of data science products + Using code and data science best practices to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways + Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways + Coordinating work with other science and technology teams at The Walt Disney Company **Basic Education:** + Bachelor's degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience + Demonstrated academic achievement in statistics and probability-typically involving graduate-level coursework + Relevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science **Basic Qualifications:** + 5+ years of experience + Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision + Some demonstrated knowledge of media and marketing as well as a desire to learn more + Desire to learn about the entertainment / media industries + Reasonable level of business acumen in addition to very strong technical skills + Proven creative problem-solving, decision-making and critical thinking skills + Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment + Demonstrated strong written and verbal communication skills + Strong leadership skills for a technical position + Ability to work independently as well as across teams in a diverse, international, collaborative environment + Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities + Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data + Proficiency in performing exploratory quantitative analysis + Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models + Advanced proficiency with Python + Proficiency with SQL + Demonstrated experience using big data technologies for data science-particularly Spark + Demonstrated experience working across technical functions + Demonstrated experience working with complicated systems + Familiarity with Tableau or other data visualization tool + Familiarity with cloud computing services + Familiarity with CI/CD and GitLab or GitHub **Preferred Qualifications:** + Graduate degree (Master's or Doctorate)-with significant graduate-level academic exposure to formal or quantitative methods and 3+ years of experience + Advanced proficiency with SQL + Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models + Proficiency with Tableau or other data visualization tool + Advanced proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data + Familiarity with the martech and adtech ecosystem The hiring range for this position in Burbank, CA is $138,900.00 to $186,200.00 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. **Job ID:** 10105345 **Location:** Burbank,California **Job Posting Company:** The Walt Disney Studios The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Salary Range: $9,333.00 -$12,576.46 Monthly Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS) for the County of Los Angeles. HFH was created to support people experiencing homelessness with complex clinical needs. We support people in obtaining housing, improving their health and thriving in their communities. HFH is a core component of Los Angeles County's effort to respond to the homeless emergency. Where appropriate to the job function, a hybrid work schedule may be available, with employees working both remotely and from the office, as needed. This position offers a unique opportunity to shape the data infrastructure of one of the most impactful homelessness service systems in the nation. The Lead Data Engineer will oversee the foundational architecture for Community Programs' Databricks-based Lakehouse, supporting seamless integration, governance, and analysis of health, housing, and justice data across initiatives including Housing for Health and others. The role reports to the Director of Data Analytics and Evaluation and will guide efforts across data ingestion, transformation, privacy, and CalAIM claims workflows. This is a chance to architect a scalable data environment from the ground up in a mission-driven context. The engineering team plays a central role in the County's data strategy, with opportunities for mentorship, innovation, and cross-sector impact. ESSENTIAL FUNCTIONS Lead the development of bronze, silver, and gold data layers from highly normalized data sources, translating complex table relationships into denormalized, analyst-ready structures. Implement GitHub-based CI/CD workflows that manage Dev and Prod separation, parameterized notebook execution, and automated testing. Use Azure Data Factory and related tools to ingest and orchestrate data flows from diverse internal and external sources. Collaborate closely with analytics and privacy engineers to ensure models align with data governance and privacy requirements. Support integration of MDM-linked datasets and promote entity resolution strategies across systems. Monitor pipeline health and lead resolution of data quality issues in coordination with analysts and external partners. Review and approve engineering code as part of CI/CD workflow, unblock or resolve issues holding up promotion to Prod. Define architecture standards and RBAC models in Unity Catalog for Departmental and Countywide access. Mentor engineering team members on best practices and solution design. Produce clear, maintainable documentation and SOPs to support onboarding, data catalog use, and model transparency. JOB QUALIFICATIONS Option I: Two (2) years of experience independently leading complex data engineering projects, including developing and applying methods to collect, structure, and transform data using statistical, programmatic, and engineering techniques to support data-driven decision-making, at a level equivalent to the Los Angeles County class of Data Scientist. Option II: A Bachelor's degree from an accredited college or university in a field such as Data Science, Data Engineering, Computer Science, Statistics, Mathematics, Machine Learning, Business Analytics, Psychology, or Public Health, with at least 12 semester or 18 quarter units in data science, quantitative research methods, programming, or statistical analysis - AND - six (6) years of experience in data engineering, including two (2) years in a lead or supervisory capacity. A Master's or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience. Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan and the Health Clearance process with the County of Los Angeles. Other Skills, Knowledge, and Abilities 7+ years building scalable data pipelines in cloud environments. Advanced proficiency in Databricks (Delta Live Tables, Unity Catalog), Spark, SQL, and Python. Experienced with CI/CD (GitHub, Azure DevOps), infrastructure-as-code (Terraform), and Azure tools (Data Factory, Synapse). Skilled in MDM integration and entity resolution. Familiar with MLflow, experience embedding data expectations within ETL/ELT pipelines, and data observability practices. Strong grasp of Medallion Architecture, performance optimization, and ETL/ELT design. Working knowledge of HIPAA, 42 CFR Part 2, and public-sector data governance. Experience mentoring teams and leading technical standards. PHYSICAL DEMANDS Stand: Frequently Walk: Frequently Sit: Frequently Reach Outward: Occasionally Reach Above Shoulder: Occasionally Climb, Crawl, Kneel, Bend: Occasionally Lift / Carry: Occasionally - Up to 15 lbs. Push/Pull: Occasionally - Up to 15 lbs. 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 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.

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data science product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness. Job Responsibilities: A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision. A person in this role is expected to be developing knowledge in media, marketing, and entertainment. Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research design Developing and interpreting the results of new formal models to forecast or predict business outcomes Developing and interpreting the results of new formal models (e.g. marketing mix models, attribution models, etc.) to measure causal effects of marketing efforts or paid media Overseeing the maintenance and improvement of existing statistical and machine learning models Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance Formulating and solving formal optimization problems Effectively leveraging big data and cloud computing technologies to address business questions Architecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teams Developing and maintaining code for data science products in consultation with engineering teams Optimizing code to make data science workflows run more efficiently Consulting regularly with technology partners to ensure that proper data science tooling and platforms are available Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data science products Providing documentation and instruction to other scientists, engineers, or analysts about how to use data science products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data science products Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence Monitoring the health and deployment of statistical and machine learning models and optimization routines embedded in data science products Building machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks as part of data science products Using code and data science best practices to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways Coordinating work with other science and technology teams at The Walt Disney Company Basic Education: Bachelor's degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience Demonstrated academic achievement in statistics and probability-typically involving graduate-level coursework Relevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science Basic Qualifications: 5+ years of experience Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision Some demonstrated knowledge of media and marketing as well as a desire to learn more Desire to learn about the entertainment / media industries Reasonable level of business acumen in addition to very strong technical skills Proven creative problem-solving, decision-making and critical thinking skills Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment Demonstrated strong written and verbal communication skills Strong leadership skills for a technical position Ability to work independently as well as across teams in a diverse, international, collaborative environment Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data Proficiency in performing exploratory quantitative analysis Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models Advanced proficiency with Python Proficiency with SQL Demonstrated experience using big data technologies for data science-particularly Spark Demonstrated experience working across technical functions Demonstrated experience working with complicated systems Familiarity with Tableau or other data visualization tool Familiarity with cloud computing services Familiarity with CI/CD and GitLab or GitHub Preferred Qualifications: Graduate degree (Master's or Doctorate)-with significant graduate-level academic exposure to formal or quantitative methods and 3+ years of experience Advanced proficiency with SQL Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models Proficiency with Tableau or other data visualization tool Advanced proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data Familiarity with the martech and adtech ecosystem The hiring range for this position in Burbank, CA is $138,900.00 to $186,200.00 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. Job Posting Segment: DEMRKTG Job Posting Primary Business: Disney+ - Creative Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2024-11-22

At TWG Group Holdings, LLC (‘TWG Global'), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment. Data is one of our most valuable assets, and our commitment to AI allows us to transform that data into a powerful competitive advantage. We are pioneering a range of data and AI services that provide real-time intelligence to both our customers and workforce, enabling them to make informed decisions within interactive, cloud-native business applications. As we evolve into an AI-first, model-driven, and cloud-native company, we prioritize responsible data and AI practices that protect our customers and workforce while ensuring compliance within a regulated environment. Our goal is to lead by example, acting with the highest standards of ethics, responsibility, and transparency. This commitment drives our development of cutting-edge AI/ML business applications across our diverse product and service offerings. In this role, you will be at the heart of our data and analytics transformation, collaborating closely with management teams to achieve our strategic objectives and operational excellence. Our decentralized structure empowers each business unit to operate autonomously while benefiting from the strategic guidance and support of our central AI Solutions Group. Through our pioneering partnerships with major data and AI vendors, you will have the opportunity to work on transformative projects that will revolutionize marketing, distribution, customer acquisition, and internal processes. These initiatives are designed to enhance productivity, reduce costs, and create high-demand products and services. The advanced data systems we develop will grant management unparalleled access to real-time performance data, enabling swift, informed decision-making and agile business adjustments. Moreover, you will play a crucial role in leveraging our strategic relationships and equity positions in leading tech startups. These collaborations are not just about staying ahead of the competition-they are about creating true competitive advantages across our businesses. You will contribute to projects that are reshaping industries, from harnessing cloud-based supercomputing capabilities to driving key initiatives with major universities that are shaping the future of technology. At TWG Global, your work will directly contribute to our ambitious goal of generating sustained growth and superior returns, with expected annual equity returns exceeding 20%, including growing dividends. Join us as we push the boundaries of technology and innovation, delivering significant value across our portfolio while making a profound impact on the industries we serve. Join our growing Machine Learning, AI, and Quantitative Research (MAQR) group as a Data Scientist, where you'll be at the heart of our data and analytics transformation. In this role, you'll collaborate closely with cross-functional teams to deliver cutting-edge AI/ML solutions that drive significant business impact, including cost optimization and revenue growth. You'll work in an innovative environment with a startup mindset, building technology solutions that create competitive advantages across our diverse portfolio. What you'll work on: Model Development & Implementation Build machine learning models through all phases of development, from problem formulation and design through training, validation, and implementation in a production environment Develop advanced AI solutions including predictive modeling, time series forecasting, optimization, and causal methods Leverage a broad stack of technologies to analyze large volumes of numeric and textual data Research, develop, and implement advanced machine learning and AI techniques for financial applications Strategic Collaboration Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver solutions that align with business objectives Collaborate with business leaders and technical experts to ensure AI/ML initiatives are integrated effectively across business units Translate complex technical concepts into actionable business strategies and tangible outcomes Innovation & Excellence Drive the development of descriptive, predictive, and prescriptive modeling use cases across diverse business challenges across the financial sector including asset management and banking Stay current on state-of-the-art methods and emerging technologies, ensuring our organization remains at the forefront of AI/ML innovation Contribute to AI governance initiatives and champion ethical, responsible use of AI across the organization Requirements Education & Experience Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6+ years of experience in data analytics, OR PhD in a quantitative field plus 3+ years of experience in data science Technical & Other Skills At least 6+ years of experience with Python or similar programming languages for large-scale data analysis At least 4+ years of experience with machine learning model development and deployment Experience with statistical analysis, data science, and model validation techniques Proficiency in interpreting model performance metrics and statistical outputs Strong analytical and problem-solving skills with ability to work with complex, multi-faceted challenges Excellent communication and interpersonal skills to translate technical complexity into business value Ability to thrive in bringing definition to big, undefined problems Customer-first mindset with passion for delivering impactful solutions Preferred Qualifications (Nice to have, but not required): Experience with cloud technologies (AWS, Azure, GCP) and cloud-native architectures Knowledge of quantitative finance, econometrics, or portfolio optimization Experience with forecasting and causal inference using modern machine learning methods Experience with microservices architecture and high-performance computing systems Experience working with large-scale datasets (billions of records) and real-time data processing Demonstrated ability to write production-level software Experience with Agile development methodologies and cross-functional team collaboration Benefits Access to cutting-edge AI/ML technologies and partnerships with leading tech companies Collaborative, team-oriented culture with strategic guidance from our central AI Solutions Group Direct contribution to ambitious growth objectives with significant business impact Professional development opportunities in a rapidly evolving AI-first organization Position Location This position is located in Santa Monica, CA. Compensation The base pay will for this position is $190,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Salary Range: $9,852.82 - $13,278.10 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 Supervisor leads a team of data scientists within the DHS Data & Analytics Unit, overseeing the execution of advanced analytical projects, machine learning initiatives, and data-driven strategies. This role is responsible for managing the development and implementation of predictive models, optimizing data workflows, and ensuring that analytical solutions align with organizational objectives. The Data Scientist Supervisor provides technical leadership, mentors team members, and fosters a collaborative environment to drive innovation and efficiency in data science operations. ESSENTIAL FUNCTIONS Team Leadership & Mentorship - Lead, coach, and mentor data scientists, fostering a culture of continuous learning and professional growth. Project Oversight & Execution - Manage and oversee the development of machine learning models and analytical solutions to meet business needs. Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large and varied datasets, uncovering trends and patterns that provide actionable insights. Fine-tune and optimize models, ensuring they are scalable, efficient, and aligned with business requirements. Mentor junior data scientists and guide their model development, statistical analysis, and data science practices. Data Engineering & Workflow Optimization - Collaborate with engineering teams to ensure the scalability, efficiency, and accuracy of data pipelines. Quality Assurance & Best Practices - Establish and enforce best practices in data science methodologies, model validation, and documentation. Advanced Data Analysis & Modeling Lead the development of predictive, prescriptive, and diagnostic models to address complex business problems and optimize decision-making processes. Machine Learning & AI Implementation - Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation. Insightful Reporting & Visualization Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both technical and non-technical stakeholders. Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams. Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance. Strategic Collaboration & Stakeholder Engagement Work closely with business leaders and stakeholders to define data-driven strategies and deliver actionable insights. Translate complex technical concepts into actionable business insights and recommendations for non-technical audiences. Partner with IT, engineering, and business teams to integrate data science solutions into operational processes. Continuous Improvement & Research Stay abreast of emerging data science techniques, industry trends, and technologies to drive innovation within the team and ensure best-in-class data science practices. Lead research initiatives that explore new methods for data analysis, modeling, and automation. Continuous improvement of data science workflows, techniques, methodologies, new tools, and technologies within the organization. JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex analytics into strategic business recommendations. They should possess a combination of technical expertise, team management experience, and a deep understanding of machine learning and data-driven decision-making. Education/Experience Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. 6+ years of experience in data science, with at least 2 years in a leadership role. Extensive hands-on experience in machine learning, AI, and predictive modeling. Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances Successful clearing through the Live Scan and health clearance processes with the County of Los Angeles. Other Skills, Knowledge, and Abilities Advanced programming skills in Python, R, or SQL for model development and data processing. Expertise in cloud computing (AWS, Azure, GCP) and big data technologies. Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting. Deep knowledge of data engineering concepts, ETL processes, and model deployment. Proven ability to lead data science projects from ideation to implementation. Excellent communication skills to present complex insights to both technical and non-technical audiences. Experience mentoring junior data scientists and fostering a data-driven culture. Strong understanding of agile methodologies and project management principles. Commitment to innovation and staying at the forefront of industry trends. 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.