Data science internship jobs in Palmdale, CA

Title: Principal Data Scientist Duration: 12 Months Contract Additional Information California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m. Job description: The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Experience Required: Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education Required & certifications: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: Microsoft Azure Data Scientist Associate (DP-100) Databricks Certified Data Scientist or Machine Learning Professional AWS Machine Learning Specialty Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: T Saketh Ram Sharma Email: ***************************** Internal Id: 25-54101

About Us Sunderstorm is a premier cannabis company that owns and operates the award-winning edibles brand Kanha. Based in California, the Company has over 200 employees with operations in Massachusetts, Illinois, Nevada, and Thailand. Sunderstorm is a leader in nano-tech fast acting edibles, has recently launched a line of vape products, and distributes for third party brands in California. Serving over 1000 retails clients, Sunderstorm and its flagship Kanha gummies are a national cannabis success. Work with Us - KANHA is excited to welcome talented builders, doers and thinkers to join our team! If you're ready to take the next step in your career, we encourage you to apply and prepare yourself to embark on a new blissful journey with KANHA! So what does KANHA offer YOU? Comprehensive benefits package, including health insurance, voluntary coverage and a retirement savings plan option Paid Time-Off (vacation pay, sick pay, holiday pay) On-the-job training to foster your growth and success. Company events, catered lunches, team building activities and more! Employee Assistance Program (EAP) A culture founded on inclusivity and respect, where each team member's contributions are acknowledged and celebrated. **Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.** Job Description Sunderstorm is leading the technology charge in cannabis, one of the most exciting and challenging industries today. We are expanding both domestically and internationally, and data-driven insights are critical to our growth. We are seeking a Data Analyst to join our team, reporting to the Data Science Manager, to help drive e-commerce sales and support both our marketing and product teams with actionable analytics. As a Data Analyst, you'll partner with marketing, product, and e-commerce to turn data into decisions. You'll own SQL analysis and Tableau dashboards, ensure consistent metrics and clean data, and uncover insights that improve conversion and customer experience. You'll evaluate performance across channels, run campaign analyses, and deliver clear, actionable recommendations that guide business strategy. Statistical testing and experiment design experience is a plus. This role is ideal for someone who loves turning data into action. You will not only surface insights but also make clear recommendations that shape marketing campaigns, optimize spend, improve ROI, and support product decisions. You'll help Sunderstorm's digital marketing, e-commerce, and product efforts thrive in a fast-paced, innovative environment. Duties and Responsibilities: Be a strategic thought partner to stakeholders across product, marketing, e‑commerce, and leadership; framing questions, shaping hypotheses, and translating insights into decisions. Build and maintain core BI assets (dashboards, data models, scheduled reports); apply Tableau best practices and create executive-ready presentations that turn analysis into clear, actionable recommendations. Perform ad‑hoc SQL analysis across key data sources (e.g., Shopify data, CRM, ads/web analytics) to answer high‑impact questions quickly and accurately. Analyze marketing and e-commerce performance across channels (Meta, Google, email, social, paid media, SEO) and provide actionable recommendations to optimize spend and improve results. Train and monitor pretrained AI agents on internal datasets to improve accuracy, reduce hallucinations, and ensure model outputs align with business needs. Monitor and interpret sales trends and customer behavior, identifying opportunities to increase revenue, improve conversion, and enhance engagement. Support the Product Manager by maintaining reports, transforming data from multiple sources, building visualizations, and conducting ad-hoc market analyses that inform product strategy. Collaborate with the Analytics Engineer to maintain analytics‑ready pipelines, consistent metric definitions, and strong data quality through validation and reconciliation. Lead pre- and post-campaign analyses across paid, owned, and on-site experiences to highlight performance drivers and recommend optimizations. Assist with data cleaning, validation, and mapping efforts to maintain data quality and ensure consistency across reporting systems. Stay current with modern analytics tools, techniques, and industry trends; evaluate and pilot improvements that increase speed, accuracy, and insight quality. Collaborate with ERP specialists to ensure primary data sources are accurate, integrated, and aligned with analytics and reporting requirements. Strong descriptive analytics skills with the ability to interpret trends and patterns; familiarity with statistical analysis, experimentation, and advanced hypothesis testing is a plus. Skills and Qualifications: 2+ years in a data analyst or business analyst role Bachelor's degree required; Master's in analytics, business analytics, Data Science, Engineering or related field preferred 2+ years analyzing marketing and e-commerce performance, including A/B testing and conversion optimization Strong skills with reporting and analytics tools (e.g., SQL, Excel, Tableau, Google Analytics, GA4) Experience with digital marketing platforms (e.g., HubSpot, Shopify, ad platforms) and marketing attribution concepts Cannabis, CPG, or regulated industry experience a plus Here at Sunderstorm Inc we offer medical, dental, vision insurance and retirement benefits. Come be a part of our growing organization and its opportunities for your career development! You will learn and develop alongside a team of professionals who aim to excel in the cannabis industry. Apply now! Sunderstorm Inc is an Equal Employment Opportunity Employer and we welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status or genetics. We are dedicated to providing an inclusive, open, and diverse work environment.

Role: Principal Data Scientist Duration: 12+ Months contract The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Required Experience • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information • California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.

About the Company Step into a high-impact Assistant Data Analyst role supporting a fast-growing consumer products business. You will work with data from more than 30 international markets and multiple business models, transforming complex datasets into strategic insights that leaders rely on. If you enjoy solving challenging problems, building powerful reports, and influencing decisions with data, this role gives you a chance to make your work visible at a global level. About the Role You will sit at the intersection of data, operations, and strategy-partnering with regional teams and senior stakeholders to ensure data is accurate, timely, and meaningful. This opportunity is ideal for someone who enjoys both the technical and business sides of analytics and expand experience working within international environment. Responsibilities Support and help oversee the collection and processing of data from 30+ countries, ensuring accuracy, consistency, and on-time delivery across all international channels. Conduct comprehensive analysis on global sales and inventory data to develop recommendations for inventory optimization and improved business performance. Collaborate with data analytics teams and regional stakeholders to ensure required data is captured within agreed timelines and defined standards. Facilitate seamless data flow between systems and business users, enhancing accessibility, usability, and reliability of datasets. Act as a liaison between the central data organization and various regional and business partners, clearly communicating data requirements, expectations, and deliverables. Leverage advanced Excel functionality, including Power Pivot and data models, to build reports, dashboards, and analytical tools. Independently manage projects of moderate complexity and provide business-focused support on larger, cross-functional data initiatives. Prepare and deliver regular reports, insights, and strategic recommendations to senior leadership and other key stakeholders. Ensure data quality controls are followed and contribute to continuous improvement of international data management processes. Qualifications Bachelor's degree in Business Analytics, International Business, Data Analytics, or a closely related field. MBA or a Master's degree in Analytics or a related discipline preferred. 4-6 years of experience in data analysis and data management within a global or multi-region business environment. Prior experience working with international data sources and stakeholders across varied business models. Demonstrated track record of using data to support strategic business decision-making. Required Skills Advanced experience working with data models and complex data structures, particularly in large, multi-country environments. Programming experience with Python for data processing, automation, and analysis tasks. Comfortable working with large, complex datasets drawn from multiple business models and international sources. Strong analytical capabilities with advanced proficiency in Power BI, Power Pivot, and Microsoft Excel. Solid understanding of data management concepts and how they support broader business objectives. Proven ability to interpret data and convert findings into clear, actionable business recommendations. Effective project management skills, including planning, prioritizing, and executing moderately complex data projects. Knowledge of international business structures (joint ventures, subsidiaries, distributors) and their differing data requirements. Excellent written and verbal communication skills, including the ability to present complex analytical insights to non-technical stakeholders. Ability to thrive in a dynamic, global environment and manage competing priorities. Willingness to accommodate meetings and calls across multiple time zones as needed. Preferred Skills Advanced Microsoft Excel, including Power Pivot, data models, pivot tables, advanced formulas, and complex spreadsheet design. Power BI (or similar BI tools) for building dashboards, visualizations, KPIs, and self-service reporting solutions. Python for data manipulation, automation scripts, and analytical workflows. Experience working with large data extracts from ERP, CRM, or data warehouse systems. Strong proficiency with standard office productivity tools (Outlook, PowerPoint, Word) to support communication and presentation of analytics. Pay range and compensation package Pay Rate: $35-$40 per hour Note: Must be ok to work onsite Monday through Friday 40hrs/ a week. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

JSG is seeking a Data Coordinator for an onsite, temp to hire position for our client in Woodland Hills, CA. This role is ideal for someone with strong attention to detail, solid technical skills, and a great attitude toward learning and growth - willingness to learn new systems. New graduates are encouraged to apply! As part of a collaborative team, you'll play a key role in maintaining accurate product, pricing, and customer information - ensuring smooth operations across departments such as Product, Sales, Marketing, and Accounting. You'll also have the opportunity to learn reporting tools, contribute to process improvements, and support data-driven decision-making. Key Responsibilities Maintain accurate and up-to-date product, pricing, and customer data within the reservation system. Collaborate with cross-functional teams on new product setups, pricing updates, and promotions. Audit and validate data to ensure accuracy and consistency across systems. Assist in generating reports and dashboards to support business insights. Support ongoing process improvement initiatives to enhance operational efficiency. Coordinate with Accounting and Sales teams to align data and reporting needs. Provide user support for data-related questions or reporting tools. Qualifications: Associate's degree or higher preferred; new graduates are welcome. 6 mos. - 1yr of work experience Intermediate Microsoft Excel and proficient with Microsoft Office Suite. Strong analytical, organizational, and problem-solving skills. Excellent attention to detail and ability to manage multiple priorities. Positive attitude, adaptability, and willingness to learn new systems and tools. Strong verbal and written communication skills; ability to work effectively across departments. Basic reporting understanding of Tableau Seaware experience a plus Pay rate: $24/hr. JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

Position: Marketing Operation Intern - Specializing in Language (Chinese-Japanese-English) & Product Analysis About the Role: We are seeking a passionate and dedicated Language and Product Analysis Intern to join our team onsite (5 days a week) in Los Angeles. This role combines translation duties with product analysis, focusing on the gaming industry and the vibrant worlds of Japanese and U.S. anime/manga. This is an exciting opportunity if you love gaming and anime, are familiar with industry-specific vocabulary, and want to leverage your language skills and data expertise. Main Responsibilities: Translate content between Chinese, Japanese, and English, with emphasis on gaming, anime, and manga topics. Utilize data analysis tools to collect, process, and visualize data for insights Analyze trends and preferences within the gaming and anime communities Support content localization and cultural adaptation projects Collaborate with team members on projects related to entertainment and pop culture Qualifications: Fluent in Chinese, Japanese, and English (reading, writing, speaking) Genuine passion for gaming, anime, and animation Familiarity with industry-specific terminology in gaming and anime/manga Experience with Game/Animation/Entertainment-related is preferred Experience with data analysis tools (e.g., Excel, SQL, or other relevant software) is preferred Enthusiastic, detail-oriented, proactive, and able to work independently Based in Los Angeles, work onsite 5 days a week. What We Offer: Practical experience in translation and data analysis within the entertainment sector Opportunities to deepen your understanding of gaming and anime markets A dynamic, collaborative, and energetic work environment Potential pathways for career growth in entertainment, localization, or data sciences Join us if you're passionate about games and anime and eager to apply your language skills and data expertise to impactful projects! The expected base pay range for this position in the state(s) listed above is $23.66 to $40.39 per hour. Actual pay is based on market location and may vary depending on job-related knowledge, skills, actual location of work, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.

The Data Management (DM) Analyst I works with a cross-functional team to create/write, review, analyze, track, edit, and process for release company, project, and contract documentation via PLM Change Orders and other related assignments per DM processes. Position Responsibilities * Effectively identify, schedule, review, release, track, and send required deliverables per contract and process requirements * Coordinate all correspondence of the deliverables (including approval, rejection, receipt) and ensure proper flow-down to internal team members * Reviews PLM Changes (DCOs) for accuracy and helps to incorporate changes; Shepherd change through to release * Collaborates with multiple disciplines to create, coordinate, track, and release PLM Changes * Demonstrates general comprehension of how to review and understand program/project documentation * Develops a basic understanding of company's products and DM processes * Receives detailed instruction on work assignments under close supervision and consistently demonstrates ability to identify and prioritize workload with supervisor assistance * Demonstrates effective interpersonal skills and ability to work in a productive manner with others across disciplines * Solves practical problems and deals with a variety of variables in a constructive manner * Responsible for completing assigned tasks within project schedule and budget * Other duties as assigned by manager Basic Qualifications (Required Skills & Experience) * High school diploma or GED equivalent is required * Entry level: less than 1 year of related experience * Demonstrated experience and competency in data systems. Is a moderate user of MS Office Suite products * Demonstrated attention to detail * Consistently demonstrates effective analytical, problem-solving, interpersonal and communication skills and provides articulate and accurate instructions to others, as required Other Qualifications & Desired Competencies * Able to excel in a fast-paced, deadline-drive environment, where small teams share a broad variety of duties * Exhibits core values of: trust & teamwork, customer commitment, innovate & simplify, ownership & results and has an excellent team attitude * Excellent interpersonal skills and able to work well with others across disciplines * Solves practical problems and deals with a variety of variables * Displays strong initiative and drive to accomplish goals and meet company objectives * Takes ownership and responsibility for current and past work * Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others and the company Physical Demands * Ability to work in an office environment (Constant) * Required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) The salary range for this role is: $54,593 - $77,385 AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. ITAR Requirement: This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.

Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Program Duration The internship program will run from June 1 through August 28, 2026. Where you'll work This is a hybrid role that requires in-office collaboration three days per week in Los Angeles. About the Role As a Data Scientist Intern at Tinder, you'll help us uncover insights from one of the world's largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You'll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect. What you'll do: * Explore and analyze large-scale datasets to identify patterns, trends, and opportunities. * Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement. * Design and execute A/B experiments to measure the impact of product features and algorithmic changes. * Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies. * Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos. * Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements. * Participate in improving the team's tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation. What we're looking for: * Passion for using data and experimentation to solve complex problems. * Intermediate to advanced SQL skills for data querying and analysis. * Familiarity with / building to proficiency in Python.Strong foundation in statistics, probability, and machine learning fundamentals. * Understanding of data structures and algorithms. * Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field. $43 - $43 an hour The compensation range listed above is representative of the hourly rate offered. 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 range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), 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 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.

About the Team The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. You've seen the virality and impact of #TikTokMadeMeBuyIt. Come join the team that is helping scale that phenomenon, and pioneer Content & Creator commerce in the US. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the leading, on-trend commerce platform of choice for brands, creators, and shoppers. We are an entrepreneurial team, passionate about shaping the future of shopping. The TikTok Shop US operation team aims to deliver high quality products together with a unique customer experience via TikTok. The team is responsible for building the TikTok Ecommerce partnership for the TikTok e-commerce business in the US. With more than 1 billion loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join us to build an e-commerce ecosystem that is innovative, secure and intuitive for our users together. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Responsibilities: * Developing deep knowledge across all e-commerce creator operations building * Strong data analytical skills * Building close relationships with all cross-functional partners to understand respective business units and priorities * Identify new/existing opportunities to improve operational strategies, drive efficiency and increase productivity * Establish best in class frameworks for cross functional ways of working * Projects will be defined based on the following directions: Creator Performance Management, High potential TikTok Creator incubation, and Merchandising and matchmaking for top e-commerce creators Minimum Qualifications: * Currently Pursuing an Undergraduate/Master in Business or a related discipline. * Data driven; an analytical thinker and experienced in using data and metrics to drive decisions * Experience in program or project management, consultancy, change management, or operations strategy * Proven ability in owning projects from inception to implementation * Experience in process optimization and scaling of efficiency initiatives * Experience managing or working within cross-functional teams * Expert in Microsoft Office products: Excel, Word, Outlook, PowerPoint and MS Project Preferred Qualifications: * Experience in Ecommerce or Tech organizations is preferred * Experience working in matrix, and/or global organizations * Creative, outside-the-box thinker and strategist By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

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 ID:** 10137362 **Location:** Santa Monica,California **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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 Manager Data Scientist to join our growing 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: Build and deploy predictive models and advanced analytics that guide business and creative strategies Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption Manage cleansing and feature extraction of large unstructured data and develop insights on top of it 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 (e.g., natural language processing, deep learning) to keep SPE at the cutting edge. Champion data-driven decision making within the organization by presenting findings to senior leaders. 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. Strong proficiency in Python and SQL. Experience with A/B testing, statistical modeling, and building predictive models. Familiarity with big data tools and cloud platforms, including MLOps (AWS, GCP, or Azure). Excellent communication skills - ability to turn complex data into actionable recommendations. In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability 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 with building and maintain Directed Acyclic Graphs and/or Docker containers 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. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. 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. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Salary Range: $9,852.82 - $13,278.10 Monthly Data Scientist Supervisor (“The Director”) provides administrative and technical supervision to a unit responsible for development and maintenance of Information Technology (IT) systems, and data analytics and business intelligence initiatives for Community Programs (CP) within the Department of Health Services (DHS). Community Programs includes the Office of Diversion and Reentry, the Harm Reduction Division, CalAIM Housing and Reentry Initiatives and other programs that serve people who are justice-involved and/or experiencing homelessness. This position serves as the primary technical resources for data analytics and business intelligence and delivers reporting and evaluation that supports data-driven decision-making and improves operational efficiency, works with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, ensures the integration of CP data with data from multiple health, housing, and justice platforms; and defines the overall vision, governance, and strategy for data analytics, business intelligence, and IT integration within Community Programs. Position requires expert knowledge of and experience in advanced data and statistical modeling and computational methods, statistical programming languages and packages, and big-data engineering solutions; and the ability to identify and resolve business needs and issues of strategic importance within the assigned department. The position will be a hybrid role, and the office is based in downtown Los Angeles. ESSENTIAL FUNCTIONS of the Data Scientist Supervisor include, but are not limited to: Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs. Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics. Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making. Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub. Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs' operations across health, housing and justice programs. Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice. Collaborates with DHS' Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness. Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community. Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers. Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements. Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing. Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County's Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms. Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration. Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms. Represents CP in Countywide data governance, oversight, and strategic planning committees. Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies. JOB QUALIFICATIONS Minimum Education/Experience A Bachelor's degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field. AND five (5) years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals. A Master's or Doctoral degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field may substitute for up to two (2) years of experience. Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities Strong leadership and management skills, with the ability to motivate and inspire a team. Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools. Excellent analytical and problem-solving skills, with a strong attention to detail. In-depth knowledge of statistical analysis techniques and methodologies Proficiency in data modeling and data manipulation. Strong business acumen and the ability to connect data insights to business objectives. Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights. Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines. Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery. Proven track record of delivering impactful insights and recommendations based on data analysis. Demonstrated experience in developing and implementing analytics strategies in a corporate environment. Strong understanding of data governance principles and practices. Familiarity with data visualization best practices and tools. Experience working with large datasets and using statistical analysis techniques. Knowledge of programming languages such as Python or R is preferred. Certification in relevant analytics tools or methodologies is a plus. ONLINE APPLICATION REQUIREMENTS At a minimum, candidates need to submit/upload electronic copies of a resume describing education to include training certifications, and relevant paid and volunteer experience - relevant to the essential job functions. Applications need to include legible copies of education diplomas/transcripts as applicable. A cover introductory letter may be submitted while not required. Legible copies of certificates to substantiate proficiency in skills, knowledge and abilities may be submitted. Applications without supporting documentation at the time of application or no more than 5 business days after the initial application will not be included in the candidate pool. Review of job description at *************************************** is suggested, especially if applying to the position from a third-party online application. PHYSICAL DEMANDS Stand Frequently Walk Frequently Sit Frequently Handling Occasionally Reach Outward Occasionally Reach Above Shoulder Occasionally Climb, Crawl, Kneel, Bend Occasionally Lift / Carry Occasionally - Up to 35 lbs Push/Pull Occasionally - Up to 35 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 Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Duration: 12 weeks (summer 2026) Location: Torrance, CA (onsite) Purpose We're looking for an enthusiastic student to help turn raw factory data into actionable insights for our simulation and decision support tools. The Role Instrument and capture structured data from production systems Assist with model calibration and parameter estimation for our discrete event simulation Prototype visual dashboards and reporting tools (Python, Excel) Document data workflows and contribute to tool‑design discussions Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Undergraduate or first‑year master's in Industrial Engineering, Systems Engineering, Operations Research, or Data Science Coursework or projects in process modeling, optimization, or simulation Comfortable with Python (pandas, matplotlib, SimPy optional) and Excel Curious about manufacturing operations and how data supports decisions Pay Range$38-$45 USD What We Offer: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

The **Data Management (DM) Analyst I** works with a cross-functional team to create/write, review, analyze, track, edit, and process for release company, project, and contract documentation via PLM Change Orders and other related assignments per DM processes. **Position Responsibilities** + Effectively identify, schedule, review, release, track, and send required deliverables per contract and process requirements + Coordinate all correspondence of the deliverables (including approval, rejection, receipt) and ensure proper flow-down to internal team members + Reviews PLM Changes (DCOs) for accuracy and helps to incorporate changes; Shepherd change through to release + Collaborates with multiple disciplines to create, coordinate, track, and release PLM Changes + Demonstrates general comprehension of how to review and understand program/project documentation + Develops a basic understanding of company's products and DM processes + Receives detailed instruction on work assignments under close supervision and consistently demonstrates ability to identify and prioritize workload with supervisor assistance + Demonstrates effective interpersonal skills and ability to work in a productive manner with others across disciplines + Solves practical problems and deals with a variety of variables in a constructive manner + Responsible for completing assigned tasks within project schedule and budget + Other duties as assigned by manager **Basic Qualifications (Required Skills & Experience)** + High school diploma or GED equivalent is required + Entry level: less than 1 year of related experience + Demonstrated experience and competency in data systems. Is a moderate user of MS Office Suite products + Demonstrated attention to detail + Consistently demonstrates effective analytical, problem-solving, interpersonal and communication skills and provides articulate and accurate instructions to others, as required **Other Qualifications & Desired Competencies** + Able to excel in a fast-paced, deadline-drive environment, where small teams share a broad variety of duties + Exhibits core values of: trust & teamwork, customer commitment, innovate & simplify, ownership & results and has an excellent team attitude + Excellent interpersonal skills and able to work well with others across disciplines + Solves practical problems and deals with a variety of variables + Displays strong initiative and drive to accomplish goals and meet company objectives + Takes ownership and responsibility for current and past work + Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others and the company **Physical Demands** + Ability to work in an office environment (Constant) + Required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) The salary range for this role is: $54,593 - $77,385 AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. **ITAR Requirement:** _T_ _his position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements._ **Benefits** : AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************* . We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. **Who We Are** Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. **What We Do** Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. _We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status._ **ITAR** U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance. **About AV:** **AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.** We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve. Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next. **If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.** **Careers at AeroVironment (*****************************************

Our 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 Growth Data Science team is looking for curious individuals excited to drive data-informed decision-making at Tinder. We are a strategic partner to the Product team, and will be using our comprehensive datasets to develop experiments, understand metrics, develop automated reports, and generate exploratory insights to guide our business solutions. These insights are key in both the performance of our business and the experience of our members. This role has the opportunity to work on either the User Growth or Growth Platform teams within the Data Science Team. The User Growth team focuses on validating greenspace hypotheses and optimizing the core experience through growth levers and personalization, while the Growth Platform team focuses on optimizing and scaling messaging strategy through strategic channels and personalization. We will work closely with you to define what team would be the best match. Where you'll work: This position can be located in Los Angeles (preferred), San Francisco, Palo Alto, CA, or Dallas, TX In this role, you will: * Drive rigorous testing to validate hypotheses and guide business decisions. * Find the "story" in the data and readily share insights with product, engineering, and design * as well as at a company level. * Be an authority with a point of view for the organization, using data to constantly challenge * and reshape our current understanding of customer behavior and business performance. * Derive and communicate data-driven recommendations regarding both the prioritization of * potential product/marketing initiatives and the performance of current initiatives. * Define and operationalize the detailed tracking of company-wide, team-specific, and product- * specific performance metrics via rollout tables, dashboards, and automated reporting. You'll need: * Bachelor's degree in a quantitative field, Master's degree, or PhD with a social science background preferred. * 2-4 years of professional working experience in Data Science and/or analytics. * Familiarity with two sided consumer ecosystem, specifically in the context of consumer technology * Experience with SQL, data visualization tools (e.g., Tableau or Mode) * Hands on experience in designing and implementing experiments (e.g. randomized testing, A/B testing) to drive key product decisions is required * Familiarity with Python/R, using descriptive and inferential statistics and machine learning models. * Demonstrated ability to collaborate effectively with design, product, and engineering * teams to advance key business initiatives from conceptualization to final product delivery. * Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. * Ability to present data, actionable insights, technical concepts and approaches to technical and non-technical audiences. Differentiators: * Curiosity of how things work, from both a business and technical perspective, which could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and diving deeply into understanding member behavior. * Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives * Ability to prioritize time across multiple projects and communicate timelines 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! $145,000 - $155,000 a year 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. #Tinder 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 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.

This is not a remote role. You must be in the local area or open to relocation Office of Technology Enablement (OTE) The Office of Technology Enablement (OTE) is Disney's central engine for transforming emerging tech into real world magic. We orchestrate company-wide efforts in artificial intelligence, machine learning, and mixed reality, empowering every segment-from Studios and ESPN to Parks and Experiences-to unlock new value and delight our guests in responsible, innovative ways. We are seeking an experienced Staff Data Scientist-a trusted technical counterpart to the Manager, AI Enablement and a catalyst for data driven innovation across Disney's businesses. Many of our engagements begin as a simple hunch: a leader senses that smarter data-or the right model-could unlock something special. You'll lead the journey from exploratory discovery through model deployment, guiding partners from discovery to production while nurturing a scalable data flywheel. If you are a hands-on expert who can go deep on ML and inspire cross functional teams to move fast and responsibly, we'd love to meet you. Key Responsibilities Opportunity Discovery and Diagnostic Investigation - Engage segment partners to surface hypotheses, perform data sleuthing to size value, and craft lean proofs of concept to validate ROI in weeks, not months. Experiment Design and Insight Reporting - Structure A/B tests or causal studies, measure impact, and package results into clear, decision ready insights for executives and creative leaders. Data Science and ML Delivery - Design, train, and deploy predictive models, statistical analyses, and machine learning systems that drive guest and business impact. Data Flywheel and MLOps - Stand up cloud native pipelines, feature engineering workflows, and monitoring that keep models healthy post launch. Stakeholder Storytelling - Translate complex findings into compelling narratives and decision frameworks for product, creative, and executive audiences. People Leadership - Recruit, mentor, and coach 1-2 data scientists/engineers; codify reusable assets and best practices. Responsible AI and Governance - Ensure all work aligns with Disney's Responsible AI guardrails in partnership with Legal, Privacy, and Security. Required Qualifications BS in advanced Mathematics, Statistics, Data Science in comparable field of study + 7 years of experience or PhD in advanced Mathematics, Statistics, Data Science in comparable field of study + 3 years of experience. Expert proficiency in Python, SQL, and modern ML/DL libraries (scikit learn, TensorFlow, PyTorch); solid grounding in statistical modeling, experiment design, and causal inference. Hands on experience with AWS, GCP, or Azure and big data frameworks such as Snowflake, Spark, or Databricks. Proven ability to move from whiteboard idea to production solution and influence cross functional teams through data storytelling. Strong software engineering fundamentals (version control, testing, CI/CD); familiarity with data visualization or experimentation platforms (e.g., Looker, Tableau, Optimizely). Preferred Qualifications Domain knowledge in media, streaming, sports, parks, or consumer products. Experience with LLMs, vector search, and retrieval augmented generation. Background in causal inference or experimentation platforms. Prior experience hiring or leading small technical teams. Reporting & Collaboration Reports directly to the Director, ML Architecture & Engineering and partners daily with the Manager, AI Enablement and Staff Architect to align technical design with product outcomes. Ready to turn data hunches into headline making magic? Apply today. #DISNEYTECH The hiring range for this position in Burbank is $152,200.00 to $204,100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered Job Posting Segment: TWDSTECH Job Posting Primary Business: Technology Enablement Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-07-31

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. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. 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. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.