Data science internship jobs in Santa Clarita, CA - 307 jobs

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 Data Analyst, Editorial & Merchandising Strategy role: We're looking for a highly analytical, detail-oriented Data Analyst to join the Merchandising team. Unlike traditional BI roles, this position is embedded within the merchandising organization and focused on connecting performance data to our brand storytelling and fashion positioning. Reporting into the Director of Editorial & Merchandising Strategy, you'll be responsible for aggregating data across channels, analyzing performance through a merchandising and content lens, and delivering clear, actionable insights that help the team make adjustments in real time. Your work will directly inform how we position product, link stories, optimize imagery, refine copy, and ultimately drive traffic and conversion. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Aggregate and synthesize data from multiple sources (email, site, social, paid, merchandising reports) into a cohesive weekly performance readout. Translate data into insights tied to editorial and merchandising strategy, highlighting what's working and what's not in areas such as imagery, copy, linking strategy, and product performance. Present weekly findings in a clear, digestible format to merchandising and marketing leadership, enabling quick pivots and real-time adjustments. Own recurring reporting (weekly, monthly, quarterly) across product categories, campaigns, and trend shops - connecting results back to topline brand and merchandising strategies. Identify shifts in customer behavior, content engagement, and merchandising opportunities, surfacing recommendations proactively. Build dashboards and reports using BI tools (ie Tableau or similar) to track KPIs such as sell-through, conversion, AOV, click-through, and engagement. Partner with BI/data teams to ensure accuracy and consistency of data, while tailoring insights specifically to merchandising and content needs. Act as the “data translator” within the merchandising team, ensuring analytics are always framed within the context of storytelling Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: 2-4 years of experience in an analytical role (ideally within retail, e-commerce, or consumer-facing industry). Advanced Excel and SQL skills; experience with BI/visualization tools (Tableau, Looker, PowerBI, or Domo). Strong business acumen with the ability to connect data directly to marketing, merchandising, and content strategies. Skilled at synthesizing complex data into concise, actionable takeaways that non-technical partners can use immediately. Detail-oriented, proactive, and comfortable working independently in a fast-paced environment. Excellent communication and presentation skills, with a talent for framing insights within a broader narrative. A collaborative team player who understands the strategic vision of editorial and merchandising, not just the numbers 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 $100,000 to $110,000.

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr

EDO is the TV outcomes company - a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. EDO is headquartered in Los Angeles and New York City. We also have an office space in San Francisco. We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. For this role, we have a hybrid work policy of 2 days a week in any EDO office. The Role Data Scientists at EDO drive EDO's modeling and analytical methodology to measure the effect that television and streaming ads have on consumer behaviors, primarily consumers' online search and website visits. What You Will Do Enhance EDO's AdEngage platform that measures the effectiveness of linear and streaming TV ads, and enable it to process new types of data and serve new client needs. Test out new methods for modeling ad effectiveness on trillion-event data sets spanning millions of households for several years. Develop reusable tools and building blocks for connecting data sets. Build, diagnose, and tune models, then automate the modeling and diagnostics. Work on a small team and take ownership of high impact projects. What We Are Looking For 3+ years professional experience doing hands-on analysis and writing clean, reusable code in Python. Interpersonal and communication skills to work effectively on a distributed team. Experience building and tuning XGBoost (or similar GBM) models, and with cross-validation techniques, and familiarity with a handful of other modeling tools. Experience with git and exposure to unit testing concepts. Understanding of biased data and adjustment methods including weighting and resampling. Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily). Building models of sales lift, running controlled experiments, modeling marketing effectiveness. Familiarity with panel datasets, especially ones with missing data and attrition. Development and test pipelines, continuous integration. Development of feature engineering pipelines and DBT. Implementing or auditing policy compliance in data pipelines and workflows. EDO offers engineering teams a full suite of GenAI tools to assist in developing their work, and resources to best enable use of these tools, as desired. EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage, deeply discounted by EDO 401(k) plan, FSA, HSA When in an office, employee meals, snacks, and more fully paid for The base salary range for this position is $120,000 to $150,000, PLUS equity in a mid-stage company. Compensation will be determined based on the skills, qualifications, experience, location and the level of education attained of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

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 DurationThe 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.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Description Put your skills to the test by pushing the boundaries of what's possible. From global defense to sustainment and modernization to mission readiness, your experience and ability will make it a reality. Our programs are built on equal parts of curiosity and collaboration. Our combined effort means our customers can connect and defend millions of people around the world. With Northrop Grumman, you'll have the opportunity to be an essential part of projects that will define your career, now and in the future. Northrop Grumman Defense System is seeking a Data Insight Analyst (Level 2) or Principal Data Insight Analyst (Level 3) to join our team of qualified, diverse individuals. Responsibilities: The successful candidate will be responsible in specifying, collecting, processing, and presenting information from potentially several disparate data sets. Will generate actionable knowledge from data. Have the analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources. Have the ability to identify patterns and higher-level information from all the data sources through use of tools and application programming. Understands the general problem space and is confident in explaining the different insights generated from the data. Responsible for data integrity and metrics reporting. Candidate must be familiar with aircraft systems such as avionics/mechanical equipment as well as other common systems. Data Insight Analyst (Level 2) Basic Qualifications: Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access. Must have 2 years with bachelor's degree or must have 0 years with Masters. 6 years of relevant experience may be used as a substitute for education. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission. Principal Data Insight Analyst (Level 3) Basic Qualifications: Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Advanced Microsoft Office skills with an emphasis in Excel, PowerPoint, and Access. Must have 5 years with bachelor's degree or must have 3 years with Masters. 10 years of relevant experience may be used as a substitute for education. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission. Preferred Qualifications: Operational experience is preferred over manufacturing or production, but all candidates will be considered. Understanding of Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms. Experience with technical writing skills and the ability to communicate complex data in a simple and actionable way. Additional education and/or experience relevant to the aircraft systems, aviation and aerospace Industry required. Level 2 Salary Range: $81,300.00 - $121,900.00 Level 3 Salary Range: $100,300.00 - $150,500.00 Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. Primary Level Salary Range: $81,300.00 - $121,900.00Secondary Level Salary Range: $100,300.00 - $150,500.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

PBF Energy Inc. (NYSE:PBF) is one of the largest independent refiners in North America, operating through its subsidiaries, oil refineries and related facilities. We are seeking a talented Contracts & Data Analyst to join our team as a pivotal member that would play a key role here at PBF Energy. This role would be located onsite at our refinery in Toledo, OH or at one of our other locations. The Contract and Data Analyst plays a key role in supporting the organization's business operations by managing contract lifecycles, contract audits, advanced data analytics, and opportunity identification to drive informed decision-making. This position requires a unique blend of strong contractual expertise, deep analytical capability, and hands-on experience with procurement systems, including the ability to write and modify code to optimize system functionality. PRINCIPAL RESPONSIBILITIES: * This position is responsible for reviewing and analyzing spend data, optimizing sourcing strategies, and developing process improvement indicators to enhance contract performance and overall business outcome. * Work cross-functionally with procurement teams, refinery stakeholders, key suppliers, and other internal partners to ensure data integrity, process efficiency, and strategic alignment throughout all contractual activities. * Conduct detailed contract audits to verify compliance, validate pricing and terms, and identify risk areas or deviations. * Maintain accurate contract records and data repositories, ensuring all documentation is current and compliant with internal policies. * Partner with Legal, Procurement, and business stakeholders to resolve contractual discrepancies and support negotiation strategies. * Develop advanced analytical models to identify cost-saving opportunities, contract leakage, supplier performance trends, and category insights. * Perform complex data extraction, transformation, and analysis using tools such as SQL, Python, Power BI, Tableau, or similar platforms. * Create and maintain dashboards, reports, and data visualizations that support strategic decision-making. * Develop dashboards and reports to track KPIs, supplier performance, and procurement efficiency. * Conduct ad-hoc deep-dive analyses on spend, contract utilization, sourcing opportunities, and operational performance metrics. * Assist in digital transformation efforts related to procurement systems and analytics platforms. * Support configuration, maintenance, and continuous improvement of procurement platforms (e.g., SAP Ariba, Coupa, Jaggaer, Ivalua). * Utilize and maintain procurement and analytics tools (e.g., SAP, Power BI, Ariba, or similar) to monitor performance ensuring seamless strategy execution, track savings, and report out on KPIs such as cost avoidance, cycle time, compliance, and supplier performance across the organization. * Write or modify system code, scripts, and workflows to optimize system performance and automate processes. * Troubleshoot system issues and collaborate with IT, vendors, and cross-functional teams to resolve root causes. * Lead or support system enhancement projects, including testing and user training. * Build detailed cost models and financial analyses to evaluate sourcing scenarios, total cost of ownership, contract proposals, and supplier offerings. * Conduct opportunity assessments across multiple categories, identifying efficiency improvements, cost reduction initiatives, and value-creation levers. * Develop business cases and present findings to leadership to support strategic decisions. * Support sourcing initiatives with data-driven insights and cost-benefit analyses. * Work with internal stakeholders to define procurement requirements and ensure contract compliance. * Collaborate with suppliers to resolve issues, negotiate terms, and ensure service level expectations are met. * Assist in supplier evaluations and performance reviews based on contractual obligations and performance data. * Identify opportunities to streamline procurement processes and improve contract workflows. * Support the development and implementation of procurement policies, tools, and best practices. * Evaluating internal stakeholder feedback and implementing changes to enhance the category services. * Build strong relationships with internal stakeholders, driving supplier development, innovation, and value creation while maintaining accountability for safety, quality, and performance. * Stay abreast of industry trends, emerging technologies, and macroeconomic factors (e.g., tariffs, inflation, labor shortages) that may impact supply markets and sourcing strategies to provide recommendations to senior management. * Provide input to annual category planning, budget forecasting, and strategic supplier reviews with senior leadership. QUALIFICATIONS: * Bachelor's degree in Business Analytics, Supply Chain, Finance, IT or a related field or equivalent Procurement Contracting/Purchasing experience. * Strong proficiency in Microsoft Excel and data visualization tools * Familiarity with procurement or ERP systems (e.g., SAP, Oracle, Coupa, Ariba) * 3 plus years of experience in contract administration, procurement analysis, or data analytics (experience in industrial, manufacturing, or energy sectors preferred). * Demonstrated expertise in advanced analytics, financial modeling, and data interpretation. * Experience supporting sourcing or category management initiatives through data-driven insights. * Strong understanding of contract management principles, procurement policies, and supplier performance metrics. * Ability to analyze large data sets to identify trends, risks, and cost-saving opportunities * Experience working in a centrally led procurement model with enterprise-wide scope * Ability to conduct market research. * Flexibility to adapt to the changing market and organizational priorities. * Excellent communication and negotiation skills to collaborate effectively with cross-functional teams and external stakeholders. * Strong analytical skills with attention to detail, system-savvy, ability to transform complex data into actionable business insights that drive cost savings and process improvement preferred * Proficiency in data management and visualization tools, * Willingness and ability to travel up to 25% of the time to support operations across multiple facilities in the U.S. This position is on site 5 days a week. ONLY CANDIDATES MEETING THE ABOVE REQUIREMENTS WILL BE CONSIDERED FOR SERIOUS CONSIDERATION, PLEASE INCLUDE YOUR SALARY REQUIREMENTS CA Job Posting Requirement: The salary range for this position is $72,815.60- $124,989.84. NJ Job Posting Requirement: The salary range for this position is $72,815.60- $116,172.65. The compensation range listed in this posting is in compliance with applicable state law. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills and internal peer equity will be considered in determining the selected candidate's compensation. Salaries at the time of hire are typically in the lower to middle portion of the above range in order to provide the opportunity to reflect future performance-based increases. In addition to salary, PBF offers a comprehensive benefits package which includes bonus eligibility, health care, retirement benefits, and paid time off. We thank all respondents for their interest in PBF Holding Company LLC ("PBF Energy"), however, only those selected for an interview will be contacted. Please no phone calls or emails to any employee of PBF Energy about this requisition. Placement agencies or recruiters need not respond. All resumes submitted by search firms to any employee of PBF Energy via email, the Internet or in any method without a valid written search agreement will be deemed the sole property of PBF Energy. No fee will be paid in the event the candidate is hired by PBF Energy as a result of the referral or through other means. PBF Energy is an equal opportunity employer. We are committed to creating a diverse, inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity or expression, sexual orientation, reproductive health decision making, national origin, ancestry, genetic information, physical or mental disability, medical condition, marital status, age, veteran and military status, or any other status protected by applicable law. We are committed to providing reasonable accommodations as required by law. #LI-EG1

Vital Lyfe is a tech company redefining water autonomy through innovation - creating a new category of personal water-making technology built to scale where infrastructure can't. Mission We're looking for passionate and driven interns to join our mission and gain hands-on experience working on impactful projects. What You'll Do Conduct water quality analysis and testing for desalination systems. Research and evaluate filtration technologies and material properties. Assist in developing sustainable and efficient water purification methods. Physical Job Requirements - Essential Functions Hands on work on development hardware. Long periods of standing, crouching, walking. Lifting up to 50 lbs What We're Looking For Education: Currently pursuing a degree in Mechanical Engineering, Electrical Engineering, Environmental Science, or a related field. Skills: Experience or coursework in relevant fields (e.g., fluid dynamics, circuit design, thermodynamics, material science). Attributes: A passion for solving real-world problems. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Why Join Us? Impact: Work on technology that addresses one of humanity's most pressing challenges. Hands-On Experience: Tackle real-world projects and gain invaluable industry knowledge. Mentorship: Learn from a team of seasoned engineers and innovators. Growth Opportunities: Contribute to a growing startup and help shape its future. Vital Lyfe is an Equal Opportunity Employer; employment with VItal Lyfe is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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 Staff Data Analyst, Content Analytics, you will report to the Manager, Content Analytics. We are considering applicants for the following location(s): Los Angeles, CA, US As a Staff Data Analyst, you will lead high-impact analytical work that shapes Crunchyroll's content strategy - from greenlight to presentation to engagement and retention. You'll define measurement frameworks, build certified data assets, and partner closely with Content Strategy, Programming, Product, and Licensor teams to deliver insights that guide multi-million-dollar decisions. This role operates with broad autonomy and plays a key part in raising analytical rigor, strengthening data quality, and establishing standards across the Fan Experience (FX) Team. Core Areas of Responsibility Lead content measurement frameworks: define north-star KPIs, normalization methods, and comparable title metrics to drive consistent decision-making across regions, seasons, modalities, and content types. Build certified, reusable data assets: develop durable datasets in Databricks that standardize title/season/episode joins and metadata keys, ensuring high-quality, consistent downstream analysis. Advance understanding of content impact: quantify title-driven acquisition, engagement, and retention; model content-attributed churn risk; and develop portfolio-level diagnostics to inform slate and localization decisions. Own and evolve attribution & user-journey insights: maintain and improve viewership attribution logic to map discovery → click → watch → return behaviors, enabling clear readouts on how users discover and engage with titles. Drive experimentation and presentation measurement: design success metrics, partner on eventing, and analyze experiments for homepage rails, thumbnails, recommendations, language selectors, and other discovery/presentation surfaces. Deliver decision assets for Content & Licensors: produce clear analyses, dashboards, and reusable frameworks for greenlight, localization ROI, curation, licensor narratives, and internal/external self-serve tooling. Elevate analytics craft & standards: document methods, set QA and analysis standards, mentor analysts across VODAX, and support hiring to strengthen long-term analytics capability. About You We get excited about candidates, like you, because… You have 12+ years of experience in content, product, or streaming analytics with a track record of solving highly complex, ambiguous problems that influence org-level decisions. You possess expert SQL and strong Python/PySpark skills, with hands-on experience working in Databricks or similar lakehouse environments. You have deep experience with large-scale viewership, subscription, or payments datasets and have built certified datasets or BI-ready data assets. You possess strong experimentation and causal inference skills including test design, metric definition, and analysis of A/B results. You have fluency with Tableau or similar BI tools and can design dashboards that scale across stakeholder groups. You embody domain expertise in streaming/content analytics including attribution modeling, content normalization, and understanding how content impacts user behavior and retention. About the Team You will join the Fan Experience (FX) team within the Center for Data & Insights (CDI) organization with a focus on Content Analytics. The team builds core engagement metrics, attribution logic, experimentation frameworks, and licensor-facing insights that support decision-making across the content lifecycle - from greenlight to discovery to retention. As Crunchyroll continues to scale globally, the team is expanding its capabilities and establishing durable measurement foundations that support partners across Content, Product, and the broader CDI organization. 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$153,300-$191,600 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 * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * 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 #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

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.

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.

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

COMPANY DESCRIPTION: Union Rescue Mission (URM) is a 501(c)(3) nonprofit organization located in the Los Angeles Metropolitan Area. We are dedicated to serving men, women, and children experiencing homelessness and providing comprehensive emergency and long-term services to help them escape the dangerous streets of Skid Row. Established in 1891, URM is now one of the largest rescue missions of its kind in the United States and the oldest in Los Angeles. Join us at Union Rescue Mission as we bring hope and share the compassion of Christ to those devastated by homelessness. POSITION SUMMARY: The Mission Tracker Data Analyst is responsible for overseeing and analyzing the Mission Tracker client tracking system to ensure its effective use across all Union Rescue Mission facilities and programs. This role involves maintaining data integrity, generating reports, identifying trends, and supporting staff in the accurate and efficient use of the system. The analyst will work closely with program leaders and IT teams to enhance system functionality, streamline data processes, and provide actionable insights to support organizational decision-making. CORE WORK PRINCIPLE: Colossians 3:23 is the foundation of URM's standard for employment, “Whatever you do, work at it with all your heart, as though you were working for the Lord and not for people”. The goal for each employee is to enrich and sustain a humble heart attitude; to enrich and sustain a mindset of serving others, treating them with kindness and truth; and to enrich and sustain a zealous desire for achieving work objectives without any ulterior motives or agendas. ESSENTIAL FUNCTIONS: Collaborate with the Vice President of Men's Ministry and program staff to define and align success metrics across all programs. Apply knowledge of programs, databases, and best practices to support outcome measurement and continuous improvement. Coordinate with program directors to ensure consistency in daily program goals and data tracking. Manage the process for reviewing and approving Mission Tracker enhancement requests in collaboration with the IT Department. Oversee implementation of system updates with IT staff, database administrators, and consultants. Train staff on Mission Tracker use; develop user manuals and provide ongoing support and troubleshooting. Ensure database integrity and security through regular communication and process documentation. Implement quality control processes for data entry and reporting. Compile and report program statistics for internal and external stakeholders. Design accurate and timely reports and queries; support tracking of outcomes and performance metrics. Promote improvements in data systems, policies, and procedures to enhance reporting and program effectiveness. Encourage guests in their faith and growth in Jesus Christ by promoting Christian virtues in all relationships throughout the Mission (Matt. 7:12, Eph. 4:2-3, Phil. 2:3-8), and by teaching and influencing guests (Titus 2:2-8) to love in unity for Christ and His kingdom (1 Cor. 13:1-7). Conducts other tasks and projects assigned by the VP of Men's Ministry. Commitment to URM mission, vision, and core values. Encourage guests in their faith and growth in Jesus Christ. PHYSICAL DEMANDS: In general, the following physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation(s) may be made to allow differently abled individuals to perform the essential functions of the job. Must be able to see, hear, speak, and write clearly to effectively communicate with employees, residents, clients, and other guests. Requires manual dexterity for occasional reaching, lifting, and operating standard office equipment. Must be able to lift at least 25lbs. Travel, as required. WORK ENVIRONMENT: In general, the following conditions of the work environment are representative of those that an employee encounters while performing the essential functions of this job. Reasonable accommodation(s) may be made to allow differently abled individuals to perform the essential functions of the job within the environment. The office environment is clean, orderly, properly lit, and ventilated. Noise levels are generally low to moderate. This position primarily operates indoors within a high-traffic office setting. Requirements EXPERIENCE, EDUCATION AND LICENSURES: Bachelor's degree (BS or BA) in Business, Computer Science, Database Administration, or a related field; relevant certifications may be considered in lieu of a degree. Minimum 3 years of progressively responsible experience in a related role. KNOWLEDGE, SKILLS AND ABILITIES: Proficiency in database administration and client tracking software, with strong skills in Microsoft Office Suite, particularly Excel and Power BI. Excellent verbal and written communication skills, with the ability to convey information clearly and effectively. Strong organizational skills, with the ability to manage time efficiently, prioritize multiple tasks, and respond appropriately to urgent situations. In-depth understanding of the behavioral, emotional, and character-related challenges faced by the clients served at URM. Demonstrated ability to lead by example, modeling URM's Christian values including humility, kindness, integrity, emotional intelligence, and a strong commitment to mission-driven work without personal agendas. #ZR Salary Description $30.00-$35.00 (Depending on Experience)

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro, an analytical thinking, a team player and can speak the language of data - we want to hear from you! ZURU is on a mission to disrupt across industries, challenge the status quo and catalyst change through radical innovation and automation advances. This is in play in different pillars of the company: ZURU Toys are re-imagining what it means to play; ZURU Tech is shaping a better future by leading the next building revolution; ZURU Edge is pioneering new generation FMCG brands to better serve modern consumers. Founded in 2003 by EY Entrepreneur of the Year and World Entrepreneur Hall of Fame brothers Nick and Mat Mowbray, ZURU has quickly grown to a team of over 5000 direct and indirect members across more than 30 international locations. One of the largest toy companies in the world, globally recognised and award-winning brands include Bunch O Balloons, Mini Brands, XSHOT, Rainbocorns and Smashers. Our global FMCG brands include MONDAY Haircare, Rascals, NOOD, BONKERS, Gumi Yum Surprise. Please note that, due to the Christmas period, application reviews may be delayed until mid-January 2026. What You'll Do Assist in collecting and organizing data from various sources, including databases, file shares, and external data sets, ensuring accuracy and completeness for analysis. Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets using statistical tools and software. Write and execute SQL queries to retrieve information from databases for specific analysis projects, ensuring data integrity and efficiency. Collaborate with cross-functional teams to understand data needs and deliver actionable insights through data analysis. Participate in the design and implementation of new data collection and analysis methodologies to improve the quality and efficiency of data-driven decision-making processes. Document analytical methodologies, coding procedures, statistical findings and progress reports to ensure transparency and reproducibility of results. Support the maintenance and troubleshooting of data analytics tools and software, including performing updates and ensuring compatibility with data sources. The hourly rate for this position is $20 per hour. Please note this role is based in-person in our LA office. What You'll Gain Experience with real-world data analysis and hands-on application of techniques. Learn practical skills and best practices applicable to industry-wide analytics tools. Develop your data analyst skills by working with experienced professionals to improve your insight creation and practical expertise in data collection, analysis, and interpretation. Be exposed to an ever-expanding and far-reaching business across a wide variety of sectors and industry groups giving you a chance to learn about market practices, challenges, and trends. You'll gain valuable insights into how data is used across different sectors, helping you see how your skills make a real impact in the business world. What You'll Bring Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. A go-getter with energy, creativity and determination to continuously improve and push boundaries. This role will be working closely with our team in Mexico a proficiency in Spanish is preferred, but not required. $20 - $20 an hour LIFE@ZURUAt ZURU, we have cultivated a high-performing culture that encourages excellence. Our team works towards ambitious goals, learning, performing, and improving together, all while having fun. We empower talented individuals to do their best work every day. At ZURU, you get out what you put in. You are responsible for driving your own career and we provide the platform to achieve it. As ZURU is on such a fast growth trajectory, there are opportunities here that you won't find anywhere else. We recognise that ZURU's success stems from our people and you can only be at your best when you are looking after yourself. ZURU encourages all our team members to invest in their wellbeing by providing an array of benefits and tools. WHAT WE OFFER🌱 Culture for Growth🌎 Global Opportunities💡 Be surrounded by an A Player Team💰 Competitive Remuneration ZURU - Tomorrow Reimagined🚀ZURU.com#LI-AJ1We 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.

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

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 TeamThe Growth Data Science team is looking for curious individuals excited to drive data-informeddecision-making at Tinder. We are a strategic partner to the Product team, and will be using ourcomprehensive datasets to develop experiments, understand metrics, develop automatedreports, and generate exploratory insights to guide our business solutions. These insights arekey 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 withinthe Data Science Team. The User Growth team focuses on validating greenspace hypothesesand optimizing the core experience through growth levers and personalization, while the GrowthPlatform 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.

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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 Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. 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 Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services 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

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.