Senior data scientist jobs in Simi Valley, CA

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

Job DescriptionOur Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior, preferences, and common trends. We take ownership over the integrity of our data and work to improve data literacy across Tinder. We are seeking a passionate and motivated Senior Data Scientist to join Tinder's Revenue team. In this role you will partner with Design, Product, Engineering, Machine Learning, and Finance teams to help drive the product roadmap. The ideal candidate will use their expertise in product analytics, monetization strategies, and data science methods to help us make better decisions in the pricing, machine learning offers, and premium experiences space. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. Where you'll work:This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, CA. In this role, you will: Evaluate the impact of new features and monetization initiatives holistically, measuring effects on revenue, user engagement, and long-term retention and translating findings into clear recommendations for product and executive stakeholders. Partner with product revenue leads to identify new opportunities by leveraging data to make recommendations on new business initiatives. Design, execute, and analyze A/B and paired market experiments to ensure statistically valid results guarded against noise and biases. Partner with Product and ML teams to refine and scale pricing, forecasting, and uplift models, delivering actionable insights into user-segment behavior, market dynamics, and monetization opportunities. Work in a fast-paced and dynamic environment with concise and impactful communication directly to executive leadership. Provide guidance and mentorship to junior data scientists, fostering a collaborative and growth-oriented environment within the team. Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics, data science, and pricing strategies You'll need: Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Physics, or related fields). 4+ years of professional working experience in Data Science and/or analytics. 2+ years of industry experience in pricing strategy or monetization analytics, preferably in a related industry (mobile apps, two-sided marketplaces, online dating, social networks, etc., is a plus). Advanced understanding of descriptive statistics and experimentation, and confidence in implementation of those methods at scale. Expertise with SQL and data visualization tools (e.g. Tableau or Mode) and proficiency in a programming language such as Python or R for data analysis and modeling. Resilience and agility to react and communicate fast, prioritizing time on the most impactful projects. Excellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical stakeholders. Proven track record of successfully leading cross-functional projects, managing stakeholders, and driving impact with data-driven insights. As a full-time employee, you'll enjoy: Unlimited PTO (with no waiting period), 10 annual Wellness Days Time off to volunteer and charitable donations matching Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free premium subscriptions for several Match Group apps - including Tinder Platinum! Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

At Apple, our Services help hundreds of millions of people get the most from the devices they love-whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science u0026 Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth-while honoring Apple's deep commitment to user privacy. We are seeking a Senior Marketing Data Scientist to help evolve our marketing strategies across Apple Services through the use of attribution, causal inference, testing, and predictive modeling. You'll play a pivotal role in understanding and improving how we engage customers, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of marketing at Apple through innovative, customer-first approaches-and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration. Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting. Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve marketing strategies. Develop attribution methodologies and frameworks to assess the effectiveness of campaigns across channels. Design and build datasets, reports, and dashboards to monitor campaign and channel performance at scale. Conduct ad-hoc analyses to support major initiatives and campaigns. Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement. Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting. Evaluate the incremental impact of marketing efforts using causal inference and testing methodologies. Explore how emerging technologies, such as generative AI, can be applied to create business value. Communicate insights and strategic recommendations to Marketing, Business, Finance, and Executive stakeholders. Partner with teams across Apple to support responsible data collection, governance, and access. Experience in a digital subscription or large-scale e-commerce business Deep understanding of marketing effectiveness measurement, particularly through causal inference methods. Master's or Ph.D. in a quantitative field is a plus, but not required. 8+ years of experience as a Data Scientist or Analyst in marketing, media, subscription, or tech environments, with a proven track record of campaign measurement and optimization. Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data. Applied expertise in statistical and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference. Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders. Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways. We're looking for a Sr. Data Scientist to join Snap Inc. What you'll do: Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted' Collaborate with product managers, engineers, product marketers, and designers Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations Communicate best practices in quantitative analysis and develop cross-functional partnerships Knowledge, Skills & Abilities: Expertise using data modeling skills to identify key product trends and new product opportunities Ability to design implement, and track core metrics to analyze the performance of our products Ability to create visuals, dashboards, and reports to effectively communicate your insights Experience collaborating with engineers, product managers, and other cross-functional teams Ability to initiate and drive projects to completion with minimal guidance An understanding of Snapchat with great product sense and product understanding Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Minimum Qualifications: BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 5+ years of experience in quantitative analysis & data science or a related field Preferred Qualifications: 5+ years of experience using SQL or similar big data querying languages 5+ years of experience with programming language, such as Python or R 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques Advanced degree in applied mathematics, statistics, actuarial science, economics or related field Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $190,000-$284,000 annually. Zone B: The base salary range for this position is $181,000-$270,000 annually. Zone C: The base salary range for this position is $162,000-$241,000 annually. This position is eligible for equity in the form of RSUs.

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role 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. Key Responsibilities: 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 Qualifications: 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 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: 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 Position Location This position is located in Santa Monica, CA. Compensation The base pay will for this position is $160,000-$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.

Job Description Job Title: Senior Data Scientist (Ads) Department: Data Science Type: Full-Time, Exempt Experience: Senior (5+ years) Salary Range: $175,000 - $200,000.00 base (plus bonus, equity, and benefits) Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST About tv Scientific tv Scientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by leaders in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary tv Scientific is looking for a Senior Data Scientist to expand our team! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we continue to grow. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale work economically. An Idealab company, tv Scientific was co-founded by executives with deep roots in programmatic advertising and digital media. tv Scientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. We have partnerships with NBCUniversal and Roku to advance CTV performance advertising. What You'll Do Write production code in Python. Design, launch, and analyze experiments to optimize ad campaigns. Build reporting and analytics tools for the Data Science Team's customers. Translate into tv Scientific's Data Science Product. How We'll Define Success Utility of new reporting and analytics tools. Speed of translation between DS Analytics & DS Product team. Quality of service you provide to the Data Science team's customers. We value diverse backgrounds and non-traditional paths into data science. You'll Be Successful in This Role if You Have/Are Experience writing and reviewing production-level code in Python. Excellent writing skills. Strong statistics and ML fundamentals. Desire to work at a fast-growing Series B startup-working under uncertainty, owning and scaling new products, and an experimental and iterative development process. You May Also Have Adtech or CTV experience Teaching experience. Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena. Exceptional data visualization skills Culture and Benefits At tv Scientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs. Full health, dental, and vision insurance - up to 95% funded by the company for employees. Employee stock option program. Company-sponsored retirement plan with a matching contribution program. 12 annual paid holidays (including 2 flexible days). Generous PTO policy (get your work done and take the time you need). A remote-first environment that allows employees flexibility to work from anywhere in the US. As tv Scientists We Are... Big Thinkers: We believe in setting audacious goals and envisioning transformative change. Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability. Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves. Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success. Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises. Forever Students: Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees. tv Scientific is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. tv Scientific is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Nexon America is a branch of Nexon Co., Ltd., a global video game publisher and leading developer of online virtual worlds for PCs, consoles, and mobile devices. Nexon proudly offers celebrated franchises like MapleStory and Mabinogi that have been enjoyed by millions of players for over two decades. When we founded our Nexon America branch in 2006, we made it our goal to bring those unique games to western players using a player-first approach. We achieve that goal by applying our team's outstanding free-to-play expertise and live game support to every decision, every day. But we're committed to more than our games! Here at Nexon America, we're all about open communication, diversity, mutual respect, and collaboration, so we can bring out the best in each other. Nexies find support, friendship, and career growth all in one place! And because we know a healthy work-life balance is the key to happiness, Nexies also enjoy flexible hours, a hybrid work model, and extra perks like food trucks, happy hours, and team events. It's why we've earned the Great Place to Work certification for 5 years running! We're looking to expand our team with passionate individuals who want to learn, play, and grow with us. Ready for a new challenge? Summary of Position Nexon America is looking for a talented Sr. Data Scientist to help Nexon's game business through data-driven insights and solve critical business problems by developing advanced machine learning algorithms. The Sr. Data Scientist is passionate about games, analytics, and applying advanced data science techniques to improve player experience, retention, and monetization. The Sr. Data Scientist collaborates with our Data teams, Business teams, Security team, and other stakeholders to implement data science models into live production systems. The Sr. Data Scientist brings fresh perspectives to inform decision-making toward better player experience by translating player voice into insights. We are currently working in the office 2-3x a week in a hybrid work model. Job Responsibilities * Apply your expertise in quantitative analysis, data visualization and data mining to tell the story behind numbers and find relevant insights for partners and leadership * Build and evaluate the ML models and statistical methods to provide Insight & Recommendation and solve the business problems * Establish scalable, automated processes for large scale data extraction, model development, model validation, model deployment, and its monitoring * Research and develop state-of-the-art machine learning, data mining, statistical modeling solutions, and language models to understand game business and key business behaviors, such as player acquisition, retention, and monetization * Maintain clear and comprehensive documentation of the models and analysis results, and present the results to the stakeholders clearly and effectively * Work closely with other data scientists, data analysts, data engineers, and other stakeholders to understand project requirements, provide valuable insights, and advanced solutions. * Mentor other engineers and scientists and contribute to their growth by providing guidance and advice. * Lead the improvement of the team's process. * Other duties as assigned Work Experience * 5+ years of proven professional working experience as a Data Scientist or related field (Advanced degrees may substitute for part of the required experience.) Education, Professional Training, Technical Training or Certification * BS (MS/PhD Preferred) in quantitative discipline (e.g. Computer Science, Statistics, Applied Mathematics, or a related field) Knowledge/Skills * Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural language processing, experimental design, social networking analysis, etc. * Experience managing advanced analytics projects which solve complex analytical problems using data exploration and analysis skills * Experience working with unstructured data (e.g., text, logs, JSON, images) * Expertise in evaluating, automating, deploying, and monitoring models in production systems * A true passion for understanding customer behavior on-platform and in-game * Expert analytical and problem-solving skills, plus the ability to innovate and work with strong initiative * Strong skills in statistical methods (e.g. hypothesis testing, time series modeling) * Strong SQL skills and strong Python skills; familiarity with Jupyter Notebook * Familiar with modern data platforms, and cloud systems (e.g. Snowflake, AWS) * Professional large language models and MLOps experience is a plus. * Online gaming experience is a BIG PLUS! Management has the right to add or change duties and job requirements at any time. Nexon's Benefits and Perks We offer medical, dental and vision plans for you, your spouse or domestic partner and your children. Employees who enroll in the high deductible health plan receive an annual employer contribution to a health savings account and company paid hospital indemnity benefits. We also provide company paid life, AD&D, short-term and long-term disability benefits as well as access to voluntary life and AD&D for yourself and your dependents, flexible spending accounts, a 401(k) savings plan with a company match, and pet insurance. Nexies are encouraged to take advantage of our monthly wellness credit, participate in lunchtime yoga, and enroll in language classes. We host bi-monthly catered lunches, monthly happy hours, and maintain a well-stocked snack bar. To help you maintain a good work life balance, we offer paid time off, sick days, company holidays, and a year-end break. Nexon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability. Compensation Description for Pay Transparency (annually) The base salary range for this position in El Segundo, CA is $140,000 - $180,000 annually. Our salary ranges are determined by market data based on position and level. The range displayed on each job posting reflects the minimum and maximum salaries for that position. An individual's pay is determined by factors including, but not limited to, a candidate's qualifications, skills, experiences, relevant education or training, and location. Base pay is one part of the Total Rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, however the salary range listed in this job posting reflects the base salary only. Beware of Recruitment Scams We have been made aware of fraudulent recruitment activities by individuals falsely claiming to represent Nexon America. Our recruiters will only contact you from official company email addresses ending ************* and will follow a formal interview process. We will never request for payment or personal financial information such as photos of government-issued identification during the recruitment process or offer a job without a formal interview process. If you receive suspicious email, we advise you to mark the email as junk or spam, so your email provider will block future messages from the sender.

Lightspark is building open payments for the Internet-always-on payment solutions powered by Bitcoin, the only open, neutral network for moving value. With enterprise tools like Connect, UMA, and Spark, businesses can send and receive money instantly, securely, and at a fraction of the cost, anytime, anywhere. Lightspark is headquartered in Los Angeles, California, but serves the world. We're looking for a Senior Data Scientist to join our Data Science team and drive data-informed decisions across Product, Finance, Compliance, and Strategy. You'll be the bridge between our data infrastructure and the business teams that depend on insights to grow the Money Grid. This role combines the analytical rigor of a data scientist with the technical self-sufficiency of an analytics engineer. You'll define metrics that matter, build the pipelines to track them, and translate complex data into actionable insights that shape our product roadmap and business strategy. What You'll Be Doing Own Key Metrics & Measurement Design and implement measurement frameworks for our core products (UMA, Spark, Lightspark Payments) Define success metrics for strategic partners like Nubank and SoFi Build dashboards and reporting that make data self-service for cross-functional teams Track product health, user engagement, retention, and transaction patterns Enable Cross-Functional Decision-Making Partner with Finance on pricing analysis, margin optimization, and revenue forecasting Support Compliance with transaction monitoring rules, KYC/AML thresholds, and risk scoring frameworks Work with Product teams to prioritize features based on data-driven insights Provide strategic analysis to inform go-to-market decisions and partnership evaluations Build Data Products & Pipelines Extend our data infrastructure to support new analytics use cases Build domain-specific data models and pipelines using dbt, SQL, and Python Create scalable, maintainable analytics code that others can build upon Collaborate with our Data Engineer to design efficient data architectures Drive Data Culture Advocate for data-driven decision-making across the organization Train teams on how to use data tools and interpret metrics correctly Identify gaps in our data ecosystem and take ownership of fixing them Balance speed with quality-ship fast, iterate based on feedback What We're Looking For Required: 5+ years of experience in data science or related roles Expert-level SQL skills-you can write complex queries, optimize for performance, and design efficient data models Strong Python programming skills: you can build pipelines, automate analyses, and with production-quality code Proven ability to define metrics and measurement frameworks from scratch Track record of influencing product and business decisions with data Strong communication skills-you can explain technical concepts to non-technical stakeholders Self-starter mentality-you unblock yourself rather than waiting for others Understanding of statistical concepts (A/B testing, causal inference, experimentation) Preferred: Experience with modern data tools like DBT, Airflow/Dagster, BigQuery/Snowflake/Databricks, Looker/Mode/Hex Experience in payments, fintech, or crypto/blockchain companies Familiarity with compliance, fraud detection, or risk analytics Background in both startups and larger tech companies Experience with product analytics tools (Amplitude, Mixpanel, Segment) Background in a quantitative field (Computer Science, Engineering, Math, Statistics, Economic) Lightspark is on a mission to build an open payment protocol for the Internet at scale and therefore we're committed to creating a more inclusive and diverse workplace to reflect the customers we serve. We welcome interest from individuals of all backgrounds and levels of experience who share our mission. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the State of California Fair Chance Initiative for Hiring.

TYPE OF RECRUITMENT: OPEN COMPETITIVE- EMERGENCY EXAM NUMBER: b1764A-EA This examination will remain open until the needs of the service are met and is subject to closure without prior notice. This announcement is a re-post to reopen the filing period The LA County Board of Supervisors recently declared a local state of emergency for homelessness, and the County is working to revise and expand our response to help all who are affected. We are looking for qualified and passionate individuals to help us in the mission of addressing issues like housing, mental health, and substance use. If you are looking for a new career that will directly benefit the population of LA County, this may be the opportunity for you. The Department of Mental Health is seeking qualified candidates to fill emergency Senior Data Scientist vacancies related to the homelessness crisis. Under the emergency order, applicants who meet the requirements may be hired for an initial period of up to 90 days, with an opportunity for permanent County employment. Before the end of your initial work period, you will be assessed on your work performance. This assessment will be weighted 100%. Those who successfully pass the assessment will be considered for permanent appointment to Senior Data Scientist. Collaborates with division, departmental, and countywide stakeholders to solicit, define, and manage highly complex data science projects from conception through implementation; ensures that projects result in actionable insights and recommendations that can be used to support business decisions and allocate resources; and provides ongoing consultation during program implementation of recommendations as necessary to ensure program fidelity. Provides technical oversight to small teams of Data Scientists and Predictive Data Analysts as necessary to ensure project success. Leads the discovery process with departmental stakeholders to document business requirements and frame business problems so that appropriate corresponding data science techniques and products can be identified and deployed. Collaborates with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal, external, structured, and unstructured data sources; and provides guidance to other department data experts in the selection and transformation of such sources. In conjunction with the Information Technology organization, supports collection, integration, and retention requirements for large sets of structured and unstructured data from disparate sources; acts as a resource for senior data engineers and architects in the selection and design of systems for use by the data science team. Reviews proposals by Data Scientists and analysts regarding selection and improvement of data science tools and ensures that the team's tools and systems are well documented. Conducts and coordinates statistical inference of data and conveys findings and conclusions orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, stakeholders, and members of the public. Works with program staff to understand the implications of analyses and to ensure that findings are actionable and support data-driven program, policy, and operational decision-making. Assists in implementing recommended business process changes in ways retain fidelity to best practices identified through the analysis and recognize the operational realities underlying existing business processes; provides ongoing consultation as recommended changes and new programs grow and evolve, including recommending modifications to adopted goals and metrics. Coordinates with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis. Creates and validates advanced analytic products (e.g., Recommender Engines, Auto Classification algorithms, Predictive Scoring, geo-spatial clustering, NLP classifier, etc.) and places them in production; works with nontechnical program managers and staff to understand analytic products and to integrate them into departmental programs. Recommends ongoing improvements to methods and algorithms that lead to findings, including new information. Creates and monitors performance of automated-detection systems and provides business metrics for overall project to show improvements initially and over multiple iterations. Provides ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed. Develops and maintains a high level of expertise in statistical programming languages and packages and other software tools; provides training and support to Data Scientists and Predictive Data Analysts as necessary; and ensures the quality of code and programming logic generated by the data science team. TRAINING AND EXPERIENCE: 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, or Public Health 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* 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. Two (2) years of this experience must have been in a lead capacity*. For Option II only, a Master's or Doctoral degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of the general experience. Applicants must meet the above requirement(s) at the time of filing in order to be appointed to fill any vacancies related to this recruitment. LICENSE: 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. PHYSICAL CLASS: Physical Class II - Light: This class includes administrative and clerical positions requiring light physical effort that may include occasional light lifting to a 10 pound limit and some bending, stooping, or squatting. Considerable ambulation may be involved. SPECIAL REQUIREMENTS INFORMATION: * Experience at the level of Data Scientist is defined as under general supervision, develops and applies methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers to support data-driven program design and management. ACCREDITATION INFORMATION: ACCREDITATION: Accredited institutions are those listed in the publications of regional, national or international accrediting agencies which are accepted by the Department of Human Resources. Publications such as American Universities and Colleges and International Handbook of Universities are acceptable references. * Foreign degrees must be evaluated for equivalency to United States accredited institutions standards by an academic credential evaluation agency recognized by The National Association of Credential Evaluation Services (NACES) or The Association of International Credential Evaluators, Inc. (AICE). (see Employment Information under Accreditation Information). * Official Transcripts is defined as a transcript that bears the college seal and states "official and/or copy" issued by the school's registrar office. A printout of the courses from the school's website is NOT considered official transcripts and will not be accepted and may result in your application being incomplete and rejected. Official transcripts MUST be submitted to verify the required coursework from the accredited institution, which shows the date the Bachelor's degree was awarded, with Registrar's signature and school seal, to the application at the time of filing, or e-mail to ********************** within seven (7) calendar days from application submission or your application may be rejected. In order to receive credit for Bachelor's or higher degree, you must attach a legible copy of the Official Diploma, Official Transcripts, or Official Letter from the accredited institution, which shows the date the degree was awarded, with Registrar's signature and school seal, to the application at the time of filing, or e-mail to ********************** within seven (7) calendar days from application submission or your application may be rejected. * Lead capacity is defined as act as team or group leader to at least two (2) or more journey or lower-level employees with responsibility for assigning, coordinating, and reviewing the work, ensuring proper work methods are followed, and providing technical assistance and training. A lead person is a Senior member of the Data Science team that provides technical assistance to other team members but does not supervise. EXAMINATION CONTENT: Under the emergency order, applicants who meet the requirements may be hired for an initial period of up to 90 days, with an opportunity for permanent County employment. Before the end of your initial work period, you will be assessed on your work performance. This assessment will be weighted 100%. Those who successfully pass the assessment will be considered for permanent appointment. APPLICATION AND FILING INFORMATION Applications must be submitted online only and will be reviewed for interview consideration on an ongoing basis. If you have not been contacted within 60 days and the recruitment remains open or reopens for filing, we encourage you to submit a new application. This will allow you to reaffirm your interest and update any relevant information. Applications must be filed online by clicking on the green "Apply" button located on the top right corner of the screen. Applicants must complete and submit their online applications and upload required documents (e.g. Official Transcripts, Resume, etc.) as attachment(s) during application submission, or send by email to ********************** within 7 calendar days from date of application submission. Indicate the Exam Title on the subject line when sending required documents by email. Fill out your application completely. The acceptance of your application will depend on whether you have clearly shown that you meet the Minimum Requirements. Provide any relevant education, training, and experience in the spaces provided so we can evaluate your qualifications for the job. For each job held, provide the name and address of your employer, your job title, beginning and ending dates, and description of work performed. If your application is incomplete, it will be rejected. Many important notifications will be sent electronically to the email address provided on the application, so it is important that you provide a valid email address. Please add ********************* as well as noreply@governmentjobs.com and ********************** to your email address and list of approved senders to prevent email notification from being filtered as span/junk/clutter mail. You have the ability to opt out of emails from LA County. If you unsubscribe, you will not receive any email notification for any examination for which you apply with Los Angeles County. Regardless of whether you choose to unsubscribe, you can always check for notifications by logging into governmentjobs.com and viewing your profile inbox, which saves a copy of all emailed notices. Plan to submit your online application well in advance before the deadline as you may be required to verify your email address. This only needs to be done once per email address, and if you already have a job seeker account on govermentjobs.com/careers/lacounty.gov you can verify at any time by logging in and following the prompts. This is to enhance the security of your online application and to ensure you do not enter an incorrect email address. IMPORTANT NOTES: * Applications may be rejected at any stage of the examination and selection process. * FALSIFICATION of any information may result in DISQUALIFICATION or RESCISSION OF APPOINTMENT. * Utilizing VERBIAGE from the Class Specification, Minimum Requirements, and/or Special Requirement Information serving as your description of duties WILL NOT be sufficient to demonstrate that you meet the requirements. In doing so, your application will be REJECTED as INCOMPLETE. SOCIAL SECURITY NUMBER LANGUAGE Please include your Social Security Number for record control purposes. Federal law requires that all employed persons have a Social Security Number. COMPUTER AND INTERNET ACCESS AT LIBRARIES For candidates who may not have regular access to a computer or the internet, applications can be completed on computers at public libraries throughout Los Angeles County. FAIR CHANCE EMPLOYER The County of Los Angeles is a Fair Chance employer. Except for a very limited number of positions, you will not be asked to provide information about a conviction history unless you receive a contingent offer of employment. The County will make an individualized assessment of whether your conviction history has a direct or adverse relationship with the specific duties of the job, and consider potential mitigating factors, including, but not limited to, evidence and extent of rehabilitation, recency of the offense(s), and age at the time of the offense(s). If asked to provide information about a conviction history, any convictions or court records which are exempted by a valid court order do not have to be disclosed. NO SHARING USER ID AND PASSWORD All applicants must file their applications online using their own user ID and password. Using a family member or friend's user ID and password may erase a candidate's original application record. ANTI-RACISM, DIVERSITY, AND INCLUSION (ARDI) The County of Los Angeles recognizes and affirms that all people are created equal and are entitled to all rights afforded by the Constitution of the United States. The Department of Human Resources is committed to promoting Anti-racism, Diversity, and Inclusion efforts to address the inequalities and disparities amongst race. We support the ARDI Strategic Plan and its goals by improving equality, diversity, and inclusion in recruitment, selection, and employment practices. DEPARTMENT CONTACT: HR Examinations Unit: ************** HR Examinations Unit Email: ********************** Analyst Contact Phone: Irene San, ************** Analyst Contact Email: ********************* ADA COORDINATOR PHONE: ************** TELETYPE PHONE: ************** CALIFORNIA RELAY SERVICES PHONES: **************

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events - from concerts and festivals to sports and theater - at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. The Role The Senior Data Scientist uses statistical modeling and machine learning tools to support business initiatives such as revenue maximization, personalization, and anomaly detection. The incumbent utilizes ticketing data at AXS to build and deploy scalable data science tools. This position collaborates with a dynamic team and works with various business stakeholders. What Will You Do? Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals Business Strategy and Project Management - Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team. Business Collaboration - Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities. Technical Exploration and Research- Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decisions and strategy-making. What Will You Bring? BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area The experience level will vary based on the candidate's degree level 1) PhD Candidates: 1-2 years related experience, or 2) Master of Science Candidates: 2-4 years related experience; or 3) Bachelor of Science Candidates: 5+ years of related experience Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience Bonus points if You Have Experience on pricing strategy and revenue management Experience with Git, bash/UNIX scripting Pay Scale: $125,000- $140,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. *Employer does not offer work visa sponsorship for this position. What's in it for You? Extraordinary People - we're not kidding! Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world. Development and Learning - Opportunities for learning and leveling up through training and education reimbursement. Community & Belonging - A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace. Curious about the typical interview process for this position? Here's what to expect: Stage 1: 20-30 virtual preliminary interview Stage:2: 45-min virtual Hiring Manager Interview Stage 3: 60-min virtual technical Interview Stage 4: 30 min final interview More about AXS AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. To learn more about our culture and values, visit: ********************************** More about AEG For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the , we encourage you to apply anyway. You may be the right candidate for this or other roles. AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. #LI-Hybrid

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.

Job Description MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Hybrid Schedule: In-office Tuesdays/Wednesdays Role Overview We're looking for a Lead Data Scientist to guide a high-impact team in solving the most critical and complex problems across our marketplace. You'll partner closely with product, engineering, and executive leadership to set vision and strategy for data science initiatives, ensuring that our models and insights directly drive business growth and efficiency. This role is an excellent fit for a strong individual contributor or emerging team lead who's ready to grow into formal people management. Responsibilities Lead, manage, and grow a team of Data Scientists, providing coaching, career development, and performance feedback. Architect and productionize advanced ML/AI solutions across our marketplace with your team. Improve how we approach real-time auction pricing and LTV-driven bid optimization through scalable, data-driven solutions. Master the MediaAlpha platform and collaborate with engineering to enhance our platform's analytical capabilities and build new data products. Own the end-to-end lifecycle of key initiatives, from ideation to deployment and iteration. Requirements 10+ years of experience in Data Science, Analytics, or a related field, with at least 3 years managing or leading data science teams Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience Proven experience leading cross-functional projects and collaborating with tech/engineering teams Demonstrated success deploying impactful code (e.g., predictive models, data pipelines, algorithms) to production environments with quantifiable business impact Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results) Proven track record of training and mentoring data scientists Advanced in Python and SQL Exceptional analytical skills and ability to synthesize large and disparate data sets Capacity to think critically and creatively, uncover problems, and propose solutions Excellent written and verbal communication skills Self-starter who takes initiative on all projects and strives to build and improve upon existing processes Preferred Qualifications Experience with search, display, performance, and/or digital marketing Experience with real-time bidding Experience with R Shiny and Shiny Server Experience with Airflow Compensation & Benefits We are excited to offer a competitive base pay range of $133,000 to $247,000 per year for this position based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including: An annual discretionary bonus program and participation in our Restricted Stock Unit program 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner 100% Employer paid long term disability, and life insurance 401(k) retirement plan with matching contributions to help you plan for your future Open Paid Time Off policy with a birthday day off and 11 holidays Professional development reimbursement Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at ************************ or **************.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Define and evaluate key metrics in various product areas. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Passionate about technology and experienced in building data-driven services and applications. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES Experience in digital video advertising or digital marketing domain Experience with machine learning models. Experience with Airflow, data warehouse, Databricks or Sagemaker Required Education Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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: Ad Platforms Job Posting Primary Business: AP - Software Engineering Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - WA - 925 4th Ave Date Posted: 2025-11-26

Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. Some of the sweetest perks we offer aren't in a typical benefit package like hefty discount on items we carry - as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties. To take a behind the scenes look at the REVOLVE "corporate" lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Senior Data Scientist role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. * Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects * Mentor junior data scientists and analysts, providing guidance on best practices and methodologies * Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations. * Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept. * Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis * Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. * Experiment with new tools, technologies, and methodologies to enhance AI and Data Science capabilities. Contribute to the development of the company's data science strategy and roadmap Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: * Outstanding analytical skills, with strong academic background in statistics, math, science or technology. * High comfort level with programming, ability to learn and adopt new technology with short turn-around time. * Knowledge of quantitative methods in statistics and machine learning * Intense intellectual curiosity - strong desire to always be learning * Proven business acumen and results oriented. * Ability to demonstrate logical thinking and problem solving skills * Strong attention to detail Minimum Qualifications: * Master Degree is required * 3+ years of DS and ML experience in a strong analytical environment. * Proficient in Python, NumPy and other packages * Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. * Experience with AB Testing and pseudo-A/B test setup and evaluations * Advanced SQL experience, query optimization, data extract * Ability to build, validate, and productionize models Preferred Qualifications: * Strong business acumen * Experience in deploying end to end Machine Learning models * 5+ years of DS and ML experience preferred * Advanced SQL and Python, with query and coding optimization experience * Experience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. For individuals assigned and/or hired to work in California, Revolve includes a reasonable estimate of the salary or hourly rate range for this role. This takes into account the wide range of factors that are considered in making compensation decisions; including but not limited to business or organizational needs, skill sets, experience and training, licensure, and certifications. A reasonable estimate of the current base hourly/salary range is $120,000 to $150,000/ year. ATTENTION: After submitting your application, please check your spam folder for emails on your application status. Emails are sent from an ADP email address.

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 seeking a skilled Data Scientist to join our innovative team, working closely with Senior Data Scientists and Machine Learning Engineers to maintain, enhance, and innovate our suite of machine learning and AI-driven models and services. This role 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, user behavior modeling with applications in fraud-detection and recommendation systems. The ideal candidate will bring a strong foundation in statistical and machine learning fundamentals, coupled with expertise in modern data science tech stacks, to drive impactful solutions for both consumer-facing and stakeholder-oriented initiatives. Core Areas of Responsibility 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 cutting-edge approaches to our solutions. About You Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field . Strong understanding of statistical and machine learning fundamentals and their practical applications. Proven experience in developing and optimizing machine learning models for predictive analytics, forecasting, or recommendation systems. Proficiency in 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. Strong analytical and problem-solving skills with a focus on delivering actionable insights. Excellent communication and collaboration skills to work effectively with interdisciplinary teams. Pluses Experience with churn prediction, customer lifetime value modeling, financial forecasting with time series or deep learning models, or recommendation systems in a consumer-facing industry. Knowledge of advanced statistical methods, such as Bayesian modeling or causal inference. Understanding of subscriber lifecycle management and high-value action analysis. Comfortable with imperfect and evolving data, working with “raw” data such as events, and seeking solutions to improve data qualities. 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$167,000-$209,000 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.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker * Required Education * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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 Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. 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 Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology 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

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City. As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults. Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader's discipline and a risk manager's skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults. In order to grow our impact in the DeFi space we are looking to hire experienced Data Scientists to help new and established protocols better understand the systems they've built. This role will require establishing a strong ability to analyze and interpret data; as well as the ability to collaborate with and manage external clients. You will be working directly with the premier and innovative DeFi protocols and developing expert-level knowledge and experience of the mechanisms that underpin the DeFi industry. Responsibilities * Perform in depth novel research into how to make premier DeFi protocols safer and more efficient through mechanism design, data analysis, and dynamic parameter optimization. * Take ownership of client engagements, scoping out work, managing client relationships, and delivering value to clients through your research and work. * Draft and write engaging research for public consumption both to grow Gauntlet's Brand as well as to satisfy client requirements * Build and deploy easy-to-understand and visually compelling dashboards for internal and external consumption Qualifications * 4+ years of professional experience * Extremely clear and effective communication and client management skills * Proven track record of drawing deep insights from complex datasets * Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * Ability to work independently working towards abstract goals * Experience working with pricing models, financial products and/or different asset classes Bonus Points * Experience working in the crypto industry is a big plus. * Enthusiasm for the space, especially DeFi, is very much desired * Experience with derivatives style products * Experience managing external client relationships * Published or presented research in the space Benefits and Perks * Remote first - work from anywhere in the US & CAN! * Competitive packages with the added opportunity for incentive-based compensation * Regular in-person company retreats and cross-country "office visit" perk * 100% paid medical, dental and vision premiums for employees * Laptop provided * $1,000 WFH stipend upon joining * $100 per month reimbursement for fitness-related expenses * Monthly reimbursement for home internet, phone, and cellular data * Unlimited vacation policy * 100% paid parental leave of 12 weeks * Fertility benefits Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application. The national pay range for this role is $150,000 - $205,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company. #LI-Remote We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: - Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. - Build and deploy predictive models and advanced analytics that guide business and creative strategies.- Manage cleansing and feature extraction of large unstructured data and develop insights on top of it- Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging- Partner with engineers to productionalize machine learning models and monitor performance.- Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences.- Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions.- Research and test emerging machine learning techniques to keep SPE at the cutting edge. - Champion data-driven decision making within the organization by presenting findings to senior leaders. - Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: - Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus.- 6+ years of applied experience in data science, analytics, or machine learning.- Proficiency in Python and SQL.- Expertise with statistical modeling and building predictive models.- In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability- Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow).- Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.).- Excellent communication skills - ability to turn complex data into actionable recommendations.- Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: - Experience in the media & entertainment industry.- Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny).- Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: - Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content.- Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges.- Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools.- Enjoy the benefits of working at a global studio while contributing to projects that matter. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Global Service Resources is looking for a contractor in Los Angeles. Shift: 7:15 AM - 6:00 PM Assignment type: Temporary (12 months w/ high chance of extension or hire) Pay rate: $80-$85/hour Job Description: Leads development of a full Data Science Program to support data-driven decision-making and advanced analytics. Provides training, mentorship, and guidance to junior team members. Drives adoption of predictive analytics, AI solutions, and Databricks (or similar). Translates complex technical concepts into actionable insights; collaborates with Data Engineering and Data Management teams. Manages multiple priorities with strong organization, communication, and quality assurance skills. Ensures high-quality deliverables and supports team growth through structured mentorship. Qualifications: 5+ yrs leading data science initiatives (ML models, statistical analysis, production workflows). 3+ yrs using Databricks or similar cloud analytics platforms. 3+ yrs applying advanced analytics (regression, classification, NLP, forecasting, clustering). 2+ yrs implementing MLOps (MLflow, CI/CD, model monitoring, automated pipelines). 2+ yrs collaborating with data engineering on pipelines and Lakehouse/warehouse architectures. 2+ yrs mentoring or supervising junior data science staff. 2+ yrs Python & SQL experience with major relational databases. 1+ yr operationalizing analytics within enterprise governance/compliance frameworks. Education: Master's in Data Science, Statistics, CS, or related field (experience may substitute). Certifications (required): One of the following - Azure DP-100, Databricks ML/Data Scientist, AWS ML Specialty, Google Professional Data Engineer, or similar. ***LOS ANGELES COUNTY HAS A VERY RIGOROUS INTERVIEW/HIRING/ON-BOARDING PROCESS DUE TO THE CONFIDENTIALITY OF THE POSITION. PLEASE NOTE THAT INTERVIEWS AND BACKGROUND CHECKS MAY TAKE 2 TO 6 WEEKS ALTOGETHER*** Note: You will not receive the same benefits as a direct County employee. You will be eligible for Health Insurance at a Discounted Rate and 5 paid Sick Days after 90 days of employment. E-Verify: All employees are required to comply with E-Verify, an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). E-Verify electronically verifies employment eligibility by comparing information provided on the I-9 form to records in the DHS and SSA databases. E-Verify check will be conducted, and the successful candidate must pass the E-Verify check. About Us: Global Service Resources is a national recruiter for IT professionals and Healthcare professionals throughout the continental United States. We specialize in government and private short term, per diem, and long-term contracts. We are located in Burbank, CA and take great pride in offering the best paying contract positions on the market! We make a great team! Let us get you to work!