Applied Data Scientists
Data science internship job in Carson, CA
**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities**
● Translate business questions into data science problems and analytical workflows
● Conduct data wrangling, exploratory analysis, and hypothesis testing
● Develop statistical models and predictive tools for decision support
● Create compelling data visualizations and dashboards for business users
● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications**
● 5+ years of applied data science or analytics experience in business settings
● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills
● Experience with data visualization tools (e.g., Tableau, Power BI)
● Solid understanding of statistical modeling, experimentation, and A/B testing
● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity**
● Remote
● **Expected commitment: min 30 hours/week
● Project duration: ~6 weeks** **5\. Compensation & Contract Terms**
● $75-100/hour
● Paid weekly via Stripe Connect
● You'll be classified as an independent contractor **6\. Application Process**
● Submit your resume followed by domain expertise interview and short form **7.About Mercor**
● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey
● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI
Data Analyst, Editorial & Merchandising
Data science internship job in Cerritos, CA
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.
Data Coordinator(MS Excel)-Reservations/Tourism (Onsite)
Data science internship job in Calabasas, CA
JSG is seeking a Data Coordinator for an onsite, temp to hire position for our client in Woodland Hills, CA. This role is ideal for someone with strong attention to detail, solid technical skills, and a great attitude toward learning and growth - willingness to learn new systems.
New graduates are encouraged to apply!
As part of a collaborative team, you'll play a key role in maintaining accurate product, pricing, and customer information - ensuring smooth operations across departments such as Product, Sales, Marketing, and Accounting. You'll also have the opportunity to learn reporting tools, contribute to process improvements, and support data-driven decision-making.
Key Responsibilities
Maintain accurate and up-to-date product, pricing, and customer data within the reservation system.
Collaborate with cross-functional teams on new product setups, pricing updates, and promotions.
Audit and validate data to ensure accuracy and consistency across systems.
Assist in generating reports and dashboards to support business insights.
Support ongoing process improvement initiatives to enhance operational efficiency.
Coordinate with Accounting and Sales teams to align data and reporting needs.
Provide user support for data-related questions or reporting tools.
Qualifications:
Associate's degree or higher preferred; new graduates are welcome.
6 mos. - 1yr of work experience
Intermediate Microsoft Excel and proficient with Microsoft Office Suite.
Strong analytical, organizational, and problem-solving skills.
Excellent attention to detail and ability to manage multiple priorities.
Positive attitude, adaptability, and willingness to learn new systems and tools.
Strong verbal and written communication skills; ability to work effectively across departments.
Basic reporting understanding of Tableau
Seaware experience a plus
Pay rate: $24/hr.
#D800
JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
Marketing Operations Intern
Data science internship job in Los Angeles, CA
Position: Marketing Operation Intern - Specializing in Language (Chinese-Japanese-English) & Product Analysis
About the Role:
We are seeking a passionate and dedicated Language and Product Analysis Intern to join our team onsite (5 days a week) in Los Angeles. This role combines translation duties with product analysis, focusing on the gaming industry and the vibrant worlds of Japanese and U.S. anime/manga. This is an exciting opportunity if you love gaming and anime, are familiar with industry-specific vocabulary, and want to leverage your language skills and data expertise.
Main Responsibilities:
Translate content between Chinese, Japanese, and English, with emphasis on gaming, anime, and manga topics.
Utilize data analysis tools to collect, process, and visualize data for insights
Analyze trends and preferences within the gaming and anime communities
Support content localization and cultural adaptation projects
Collaborate with team members on projects related to entertainment and pop culture
Qualifications:
Fluent in Chinese, Japanese, and English (reading, writing, speaking)
Genuine passion for gaming, anime, and animation
Familiarity with industry-specific terminology in gaming and anime/manga
Experience with Game/Animation/Entertainment-related is preferred
Experience with data analysis tools (e.g., Excel, SQL, or other relevant software) is preferred
Enthusiastic, detail-oriented, proactive, and able to work independently
Based in Los Angeles, work onsite 5 days a week.
What We Offer:
Practical experience in translation and data analysis within the entertainment sector
Opportunities to deepen your understanding of gaming and anime markets
A dynamic, collaborative, and energetic work environment
Potential pathways for career growth in entertainment, localization, or data sciences
Join us if you're passionate about games and anime and eager to apply your language skills and data expertise to impactful projects!
The expected base pay range for this position in the state(s) listed above is $23.66 to $40.39 per hour. Actual pay is based on market location and may vary depending on job-related knowledge, skills, actual location of work, and experience.
This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
Sales Operations Intern
Data science internship job in Santa Monica, CA
About the Role:
We are seeking a motivated and detail-oriented Sales Operations to join our team. This position offers hands-on experience in sales operations, financial coordination, and cross-functional collaboration. The ideal candidate will support the end-to-end sales process, assist with finance-related operations, and contribute to improving business efficiency.
Key Responsibilities:
Sales Order Management:
Manage the full cycle of sales orders, including order entry, data verification, tracking, and coordination with logistics to ensure timely fulfillment.
Conduct data analysis and prepare order summaries and reports to support business decision-making
Assist in upward approval process and maintain accurate records in internal systems.
Finance & Vendor Operations:
Support sales-related finance operations, including Accounts Payable (AP) and Accounts Receivable (AR) processes.
Prepare and submit expense payments, invoices, and purchase orders in accordance with company policies.
Assist with vendor setup, management, and coordination to ensure smooth financial operations.
Report & Analysis:
Track key sales performance metrics and generate routine reports.
Support team projects and ad-hoc analysis related to sales performance, operations efficiency, and customer service improvement.
Cross-Functional Collaboration:
Work closely with Sales, Finance, Supply Chain, and Operations teams to ensure alignment and accuracy in all order and payment-related processes.
Qualifications:
Currently pursuing a Bachelor's or Master's Degree in Business Administration, Finance, Accounting, Supply Chain Management, or a related field.
Strong analytical and organizational skills with great attention to detail.
Proficient in Microsoft Excel and other Office tools; experience with ERP or order management systems is a plus.
Excellent communication and time-management skills.
Ability to work collaboratively in a fast-paced, dynamic environment.
Bilingual in Chinese is a plus.
Commit 20-24 hours per week.
What You'll Gain:
Hands-on experience in sales operations and finance processes in a global business environment.
Exposure to cross-functional collaboration and business decision-making.
Opportunity to develop data analysis and project management skills.
About ANTA:
ANTA brand was established in 1991. ANTA Sports Products Limited, a leading sportswear company in China, was listed on the Main Board of HKEX in 2007 (Stock code: 2020.HK). The company has a comprehensive brand portfolio including ANTA, FILA, DESCENTE, and KOLON SPORT. In 2019, ANTA Sports set up an investor consortium to successfully acquire Amer Sports, a global sportswear group that owns internationally recognized brands such as Salomon, Arc'teryx, Wilson, Peak Performance, and Atomic. By doing so, ANTA Sports aims to tap into the potential of both the mass and high-end sportswear markets.
In 2023, ANTA Group achieved a revenue of over 62 billion yuan, representing a year-on-year increase of 16.2%. The gross profit margin improved to 62.6%, and the operating profit margin reached 24.6%. Not only has ANTA Group maintained its position as the top sports goods company in China for 12 consecutive years, but it has also held the top position in the entire Chinese market for two consecutive years.
Data Management (DM) Analyst I
Data science internship job in Simi Valley, CA
The Data Management (DM) Analyst I works with a cross-functional team to create/write, review, analyze, track, edit, and process for release company, project, and contract documentation via PLM Change Orders and other related assignments per DM processes.
Position Responsibilities
Effectively identify, schedule, review, release, track, and send required deliverables per contract and process requirements
Coordinate all correspondence of the deliverables (including approval, rejection, receipt) and ensure proper flow-down to internal team members
Reviews PLM Changes (DCOs) for accuracy and helps to incorporate changes; Shepherd change through to release
Collaborates with multiple disciplines to create, coordinate, track, and release PLM Changes
Demonstrates general comprehension of how to review and understand program/project documentation
Develops a basic understanding of company's products and DM processes
Receives detailed instruction on work assignments under close supervision and consistently demonstrates ability to identify and prioritize workload with supervisor assistance
Demonstrates effective interpersonal skills and ability to work in a productive manner with others across disciplines
Solves practical problems and deals with a variety of variables in a constructive manner
Responsible for completing assigned tasks within project schedule and budget
Other duties as assigned by manager
Basic Qualifications (Required Skills & Experience)
High school diploma or GED equivalent is required
Entry level: less than 1 year of related experience
Demonstrated experience and competency in data systems. Is a moderate user of MS Office Suite products
Demonstrated attention to detail
Consistently demonstrates effective analytical, problem-solving, interpersonal and communication skills and provides articulate and accurate instructions to others, as required
Other Qualifications & Desired Competencies
Able to excel in a fast-paced, deadline-drive environment, where small teams share a broad variety of duties
Exhibits core values of: trust & teamwork, customer commitment, innovate & simplify, ownership & results and has an excellent team attitude
Excellent interpersonal skills and able to work well with others across disciplines
Solves practical problems and deals with a variety of variables
Displays strong initiative and drive to accomplish goals and meet company objectives
Takes ownership and responsibility for current and past work
Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others and the company
Physical Demands
Ability to work in an office environment (Constant)
Required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)
The salary range for this role is:
$54,593 - $77,385
AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.
ITAR Requirement:
T
his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.
Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: **********************************
We also encourage you to review our company website at ******************** to learn more about us.
Principals only need apply. NO agencies please.
Who We Are
Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.
Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.
What We Do
Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.
We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.
ITAR
U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.
Auto-ApplyData Scientist Intern
Data science internship job in Los Angeles, CA
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing.
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
Program Duration
The internship program will run from June 1 through August 31, 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
Business Analyst Project Intern(TikTok- Operations) - 2026 Start (BS/MS)
Data science internship job in Los Angeles, CA
About the Team The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates.
You've seen the virality and impact of #TikTokMadeMeBuyIt. Come join the team that is helping scale that phenomenon, and pioneer Content & Creator commerce in the US. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the leading, on-trend commerce platform of choice for brands, creators, and shoppers. We are an entrepreneurial team, passionate about shaping the future of shopping.
The TikTok Shop US operation team aims to deliver high quality products together with a unique customer experience via TikTok. The team is responsible for building the TikTok Ecommerce partnership for the TikTok e-commerce business in the US. With more than 1 billion loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join us to build an e-commerce ecosystem that is innovative, secure and intuitive for our users together.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities:
* Developing deep knowledge across all e-commerce creator operations building
* Strong data analytical skills
* Building close relationships with all cross-functional partners to understand respective business units and priorities
* Identify new/existing opportunities to improve operational strategies, drive efficiency and increase productivity
* Establish best in class frameworks for cross functional ways of working
* Projects will be defined based on the following directions: Creator Performance Management, High potential TikTok Creator incubation, and Merchandising and matchmaking for top e-commerce creators Minimum Qualifications:
* Currently Pursuing an Undergraduate/Master in Business or a related discipline.
* Data driven; an analytical thinker and experienced in using data and metrics to drive decisions
* Experience in program or project management, consultancy, change management, or operations strategy
* Proven ability in owning projects from inception to implementation
* Experience in process optimization and scaling of efficiency initiatives
* Experience managing or working within cross-functional teams
* Expert in Microsoft Office products: Excel, Word, Outlook, PowerPoint and MS Project
Preferred Qualifications:
* Experience in Ecommerce or Tech organizations is preferred
* Experience working in matrix, and/or global organizations
* Creative, outside-the-box thinker and strategist
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************
Data Science Intern
Data science internship job in Long Beach, CA
At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.
Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.
About the Team
The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing.
About the Role
We are seeking a highly skilled and motivated Data Science Intern to join our dynamic R&D team. You will be responsible for developing and implementing ML models and algorithms that drive advancements in Relativity's Stargate additive manufacturing platform. You will work closely with cross-functional teams such as Simulation, Robotics, and Software to identify and implement ML-based solutions that drive technology development. You will work to understand data from a wide variety of sources in and around the printer and select appropriate model architectures to achieve business goals. You'll be at the cutting edge of large scale additive manufacturing and you'll get to see the solutions you develop implemented in the Stargate platform.
Key Responsibilities:
Design, implement, and evaluate machine learning models related to large scale additive manufacturing systems.
Use a strong theoretical understanding of ML to guide model selection and optimization based on the data on hand and model performance requirements
Collaborate with other team members to deploy ML models into production environments.
Extract insights from a wide range of data sources such as sensors, cameras, and physical simulations to understand and optimize the interactions between materials, printing processes, and product performance.
Communicate effectively with stakeholders
About You
Actively pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related field
Strong programming skills in Python using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong theoretical understanding of machine learning and statistics
Proficiency in statistical analysis, optimization, and data visualization tools.
Nice to Haves but Not Required
Proficiency with collaborative software development concepts such as git, code review, and CICD
Background in the field of Additive Manufacturing
Proficiency with databases and SQL
At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.
Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.
Hiring Range:
$37 - $42 USD
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Auto-Apply2026 US Summer Internships - Analytics & Data Science
Data science internship job in Santa Monica, CA
At Activision Blizzard we are dedicated to creating the most epic entertainment experiences, driven by our company values and passion, Activision Blizzard creates worlds with the focus to entertain the universe. We are looking for talented and innovative students to join our team for the 2026 summer. All interns will receive a meaningful project and an unparalleled experience. We'll provide the tools and resources you need to learn. The challenging and creative work you do throughout your internship will directly impact the team you are contributing to.
Player Profile
* Currently enrolled in a bachelor's, master's, or PhD degree program (master's & PhD preferred)
* Graduating December 2026 - July 2027
* Available to participate in a 12-week internship starting in late-May or mid-June
* Currently residing in the US or open to relocating oneself to the US
* Exhibits learning agility; has the ability to think differently, and/or grasp and apply new skills and concepts
* Approaches problems in a clear, well-organized, and solutions-oriented manner
* Works well with others and contributes to team tasks
* Able to effectively communicate problems, solutions, needs, or priorities
* Is engaged, seeks to learn, and is able to manage time effectively
* A passion for significantly impacting game development
* Applicants must apply with a resume and a link to their code samples to be considered
Internship Opportunities
All internships will be conducted in-person. Hosting managers will determine when and how often interns work in the office. All interns will have the option to opt into relocation services (flights, trains, or car mileage reimbursement). Additionally, all interns will be provided with a living stipend to supplement housing, utility, commuting, and miscellaneous costs.
Data Analytics Intern - This is an exciting role in our AI team that allows the candidate to interact with multiple teams and senior leaders to build up skills and capabilities. The candidate will learn how to solve interesting problems in a systematic way specifically in ads space for gaming. The team has a diverse team of talents whom love innovation, collaboration, and having fun while doing it. Projects may include life time value evaluation and framework research and crash analysis.
* Enrolled in a bachelor's or master's degree program (master's preferred)
* Proficiency in SQL - Comfortable writing complex queries and exploring large datasets.
* Dashboarding experience - Knowledge of tools like Tableau, Power BI, or other BI platforms.
* Python programming skills - Familiar with data wrangling, statistical analysis, and basic scripting.
* Strong communication skills - Able to clearly present technical findings to both technical and non-technical audiences.
* A curiosity-driven mindset and an eagerness to learn in a fast-paced, innovative environment.
Hosting Location: Activision Publishing (Santa Monica, CA)
Data Science Intern - The Mobile Analytics Team is seeking a passionate and curious Data Science Intern to help bring science into decision-making across our mobile titles. As part of the Player Science team, you'll explore player behavior, uncover insights, and contribute to game design and live operations
* Enrolled in a PhD program
* Experience with SQL and R/Python for data analysis.
* Familiarity with distributed data processing tools (e.g., Spark, Presto, Hive) is a plus.
* Understanding of A/B testing and causal inference methodologies.
* Exposure to predictive modeling and machine learning is a bonus.
* Strong storytelling skills with data and a passion for games or mobile apps.
Hosting Location: Activision Publishing (Santa Monica, CA)
Our World
Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty, World of Warcraft, Overwatch, Diablo, Candy Crush and Bubble Witch. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet!
Our ability to build immersive and innovate worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered!
The video game industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners.
We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! At Activision Blizzard, we are committed to creating a diverse and inclusive environment and strongly encourage you to apply.
Activision Blizzard is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability.
We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com General employment questions cannot be accepted or processed here. Thank you for your interest.
Rewards
We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:
* Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
* 401(k) with Company match, tuition reimbursement, charitable donation matching;
* Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
* Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
* If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting ***************************************
In the U.S., the standard base pay range for this role is $20.00 - $50.00 Hourly. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
Auto-ApplyPrincipal Data Analyst
Data science internship job in Los Angeles, CA
The Superior Court of Los Angeles County is the largest unified trial court in the United States. The Court's 582 judicial officers and its dedicated workforce of over 4,600 full-time employees serving across 36 facilities work purposefully and seamlessly to achieve the mission to provide equal access to justice to all of Los Angeles County. At the heart of the Los Angeles Superior Court is commitment and collaboration between team members who contribute professional skill sets and meaningful work experiences toward the goal of serving the community at large.
Accessible career paths, a healthy work-life balance, job stability, and comprehensive total rewards including generous pay and benefits, a robust public sector pension, and Court matched 401K/457 individual savings plans, are just some of the values that the Court offers to every member of its thriving workforce. Plan your future with the Los Angeles Superior Court - connect with us today.
ABOUT THE POSITION
We're looking for a passionate Principal Data Analyst who is eager to design, build, and implement modern analytics solutions. The ideal candidate will play a key role in designing and engineering state-of-the-art data analytics solutions, leveraging Power BI, tools like WhereScape RED, ADF, Snowflake and advanced analytics using AI and ML technologies to drive innovation and efficiency. With proven experience implementing comprehensive systems using automation frameworks and cloud data platforms, this role offers the opportunity to further expand your expertise in advanced data engineering and analytical solutions while contributing to transformative initiatives.
The official classification for this position is Business Systems Analyst, Principal. For a detailed , click here. Please note the requirements in the job description may vary from the requirements in this bulletin. Applicants must meet the requirements stated in this bulletin.
Key responsibilities:
* Analytics Implementation: Design and execute end-to-end data analysis projects using advanced analytics tools and techniques to derive actionable insights and support strategic decision-making.
* Data Engineering: Contribute to the design and optimization of scalable, reliable data storage and processing solutions. Apply deep understanding of data architecture and warehousing concepts to support enterprise data ecosystems.
* Data Visualization & Reporting: Build interactive dashboards and reports using Power BI to communicate data-driven insights effectively. Ensure visual outputs are intuitive, accurate, and aligned with stakeholder needs
* Cloud & Automation Tools: Implement data solutions using modern platforms like Snowflake and Azure. Use automation tools such as WhereScape RED, ADF to streamline data workflows and improve operational efficiency.
* Dimensional Modeling: Develop and maintain dimensional data models to enable efficient querying and robust reporting. Ensure models align with business processes and analytical requirements.
* SQL Development & Optimization: Write, test, and optimize complex SQL queries across platforms including Microsoft SQL Server, SQL Server Reporting Server, PBI Report Server, and Oracle. Enhance data retrieval performance and maintain query efficiency at scale.
* Project Execution & Collaboration: Lead the technical delivery of data-related initiatives, managing tasks, timelines, and deliverables within cross-functional teams. Apply structured methodologies to ensure successful execution.
* Technical Mentorship & Best Practices: Serve as a subject matter expert and resource to peers by sharing knowledge, providing technical guidance, and promoting best practices in analytics development and data management.
THIS IS A TELEWORK ELIGIBLE OPPORTUNITY
This position may be eligible for full or partial telework following an initial training period and contingent upon the needs of the Court.
SELECTION REQUIREMENTS
To qualify, you must meet one of the following options at the time of application:
* OPTION I: 9+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
* OPTION II: Associate's degree* in information technology, computer science, management information systems, or related field; -AND- 7+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
* OPTION II: Bachelor's degree* in information technology, computer science, management information systems, or related field; -AND- 5+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
* OPTION IV: Master's degree* in information technology, computer science, management information systems, or related field; -AND- 3+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
* To qualify for Options that require educational credentials, you must attach the required documentation to your application. For more information, please visit the Applicant Support page.
Note: Credit for experience is given based on a 40-hour workweek. Part-time experience is credited on a part-time ratio (e.g., working 20 hours per week for two months equals one month of experience). Overtime does not count toward additional credit.
DESIRABLE QUALIFICATIONS
* Experience in design, development, and deployment of data analytics solutions to support data driven decision-making.
* Proficient in one or more analytics platforms and tools. Deep understanding of data architecture, including data warehousing principles and best practices.
* Strong experience with Power BI, including report and dashboard creation, data modeling, and DAX.
* Experience with Snowflake, Azure, and exposure to advanced data engineering tools.
* Proficient with automation tools like WhereScape RED, Azure Data Factory.
* Understanding of data modeling concepts and experience in building effective data models.
* Ability to write SQL queries for data extraction, transformation, and manipulation. Advanced skills in SQL development and optimization across Microsoft SQL Server, SSRS, PBI Report Server and Oracle environments.
* Experience documenting business processes and the ability to translate business requirements into technical solutions.
* Exposure to programming languages such as Python or R, especially in the context of analytics.
* Familiarity with AI and machine learning concepts and their application in predictive analytics projects.
* Familiarity with DevOps/Data Ops practices.
APPLICANT SUPPORT & INFORMATION
Applications must be submitted online. Before submitting your application, carefully review ALL the information detailed on our APPLICANT SUPPORT page linked HERE.
Applicants with disabilities who require reasonable accommodation to participate in the recruitment process may submit a request for accommodation to the email provided below. For additional employment information, please click HERE.
WHAT TO EXPECT AFTER APPLYING
This recruitment process may take up to 4-6 weeks to complete. We will notify you of the outcome after each step of the recruitment process, detailed below:
EVALUATION: Qualifying evaluation of education, training and experience based upon submitted application and supplemental questionnaire.
ELIGIBILITY: Applicants who best meet job-related qualifications will be placed on an eligible list which will remain active for approximately six (6) months and may be invited to participate in a selection interview. Other vacancies may be filled using this list.
Questions regarding this posting may be e-mailed to *******************.
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Los Angeles Superior Court is an equal opportunity employer.
Easy ApplyPerformance Science Intern
Data science internship job in Los Angeles, CA
In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. The Los Angeles Dodgers currently have a job opportunity for Performance Science Intern. Following you will find a brief description of the job and application process. For additional information, please contact the Emerging Talent Program at [email protected].
Title: Performance Science Intern
Department: Performance Science
Status: Intern (3-month program)
Location: Los Angeles, CA or Glendale, AZ
Pay Rate: $18.00/hour + housing stipend
* Interviews for our 2026 Internship positions will take place in March 2026
The Performance Science team uses science and engineering principles to better understand on-field performance through biomechanical data analysis and visualization.
Duties/Responsibilities:
* Operating, processing, and analyzing biomechanics and other tracking data from a laboratory and/or on-field setting
* Supporting research projects focused on player performance and biomechanics
* Working with data visualization tools; interpreting reports and communicating results to front office, coaching staff, player development, scouting, and medical/performance staff as well as players
* Other duties as assigned
Basic Requirements/Qualifications:
* Preference for an academic background in a STEM field (mechanical engineering, biomechanics, physics, mathematics, etc.)
* Some computer programming experience (Python, command line tools)
* Familiarity with SQL / database querying
* Strong communication (written & verbal) skills
* Desire to work in a collaborative team environment
* (Arizona-based) Experience working in a biomechanics lab environment preferred and Spanish speaking a plus
* Must be a rising sophomore, junior or senior pursuing a bachelor's degree OR are currently enrolled in a graduate program at an accredited institution
* Must be available to live and work in Los Angeles or your assigned office location throughout the duration of your 3-month program during the summer months
* Unrestricted authorization to work in the United States
* Passionate about working for a professional sports team
* Proactive and out of the box thinking
This program consists of 80% in-department work, 15% cross-functional project experience, and 5% additional programming. Interns collaborate on real business projects in small cross-functional groups while gaining hands-on, department-specific experience under a dedicated manager. The program is 100% in-person/onsite. This is a non-renewable internship and will conclude at the end of the scheduled 12-week program.
Current Los Angeles Dodgers employees should apply via the internal job board in UKG by following these prompts:
MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
LOS ANGELES DODGERS LLC is an equal opportunity employer.
LOS ANGELES DODGERS LLC is firmly committed to providing equal opportunity for all qualified applicants from every race, creed, and background. LOS ANGELES DODGERS LLC is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination.
LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law. The Immigration Reform and Control Act requires that LOS ANGELES DODGERS LLC obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States.
LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact [email protected].
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Staff Data Scientist
Data science internship job in Burbank, CA
This is not a remote role. You must be in the local area or open to relocation Office of Technology Enablement (OTE)
The Office of Technology Enablement (OTE) is Disney's central engine for transforming emerging tech into real world magic. We orchestrate company-wide efforts in artificial intelligence, machine learning, and mixed reality, empowering every segment-from Studios and ESPN to Parks and Experiences-to unlock new value and delight our guests in responsible, innovative ways.
We are seeking an experienced Staff Data Scientist-a trusted technical counterpart to the Manager, AI Enablement and a catalyst for data driven innovation across Disney's businesses. Many of our engagements begin as a simple hunch: a leader senses that smarter data-or the right model-could unlock something special. You'll lead the journey from exploratory discovery through model deployment, guiding partners from discovery to production while nurturing a scalable data flywheel.
If you are a hands-on expert who can go deep on ML and inspire cross functional teams to move fast and responsibly, we'd love to meet you.
Key Responsibilities
Opportunity Discovery and Diagnostic Investigation - Engage segment partners to surface hypotheses, perform data sleuthing to size value, and craft lean proofs of concept to validate ROI in weeks, not months.
Experiment Design and Insight Reporting - Structure A/B tests or causal studies, measure impact, and package results into clear, decision ready insights for executives and creative leaders.
Data Science and ML Delivery - Design, train, and deploy predictive models, statistical analyses, and machine learning systems that drive guest and business impact.
Data Flywheel and MLOps - Stand up cloud native pipelines, feature engineering workflows, and monitoring that keep models healthy post launch.
Stakeholder Storytelling - Translate complex findings into compelling narratives and decision frameworks for product, creative, and executive audiences.
People Leadership - Recruit, mentor, and coach 1-2 data scientists/engineers; codify reusable assets and best practices.
Responsible AI and Governance - Ensure all work aligns with Disney's Responsible AI guardrails in partnership with Legal, Privacy, and Security.
Required Qualifications
BS in advanced Mathematics, Statistics, Data Science in comparable field of study + 7 years of experience or PhD in advanced Mathematics, Statistics, Data Science in comparable field of study + 3 years of experience.
Expert proficiency in Python, SQL, and modern ML/DL libraries (scikit learn, TensorFlow, PyTorch); solid grounding in statistical modeling, experiment design, and causal inference.
Hands on experience with AWS, GCP, or Azure and big data frameworks such as Snowflake, Spark, or Databricks.
Proven ability to move from whiteboard idea to production solution and influence cross functional teams through data storytelling.
Strong software engineering fundamentals (version control, testing, CI/CD); familiarity with data visualization or experimentation platforms (e.g., Looker, Tableau, Optimizely).
Preferred Qualifications
Domain knowledge in media, streaming, sports, parks, or consumer products.
Experience with LLMs, vector search, and retrieval augmented generation.
Background in causal inference or experimentation platforms.
Prior experience hiring or leading small technical teams.
Reporting & Collaboration
Reports directly to the Director, ML Architecture & Engineering and partners daily with the Manager, AI Enablement and Staff Architect to align technical design with product outcomes.
Ready to turn data hunches into headline making magic? Apply today.
#DISNEYTECH
The hiring range for this position in Burbank is $152,200.00 to $204,100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered
Job Posting Segment:
TWDSTECH
Job Posting Primary Business:
Technology Enablement
Primary Job Posting Category:
Data Science
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Burbank, CA, USA
Alternate City, State, Region, Postal Code:
Date Posted:
2025-07-31
Auto-ApplyData Scientist Supervisor
Data science internship job in Los Angeles, CA
Salary Range: $9,852.82 - $13,278.10 Monthly
Data Scientist Supervisor (“The Director”) provides administrative and technical supervision to a unit responsible for development and maintenance of Information Technology (IT) systems, and data analytics and business intelligence initiatives for Community Programs (CP) within the Department of Health Services (DHS). Community Programs includes the Office of Diversion and Reentry, the Harm Reduction Division, CalAIM Housing and Reentry Initiatives and other programs that serve people who are justice-involved and/or experiencing homelessness. This position serves as the primary technical resources for data analytics and business intelligence and delivers reporting and evaluation that supports data-driven decision-making and improves operational efficiency, works with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, ensures the integration of CP data with data from multiple health, housing, and justice platforms; and defines the overall vision, governance, and strategy for data analytics, business intelligence, and IT integration within Community Programs.
Position requires expert knowledge of and experience in advanced data and statistical modeling and computational methods, statistical programming languages and packages, and big-data engineering solutions; and the ability to identify and resolve business needs and issues of strategic importance within the assigned department. The position will be a hybrid role, and the office is based in downtown Los Angeles.
ESSENTIAL FUNCTIONS of the Data Scientist Supervisor include, but are not limited to:
Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs.
Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner
Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics.
Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making.
Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub. Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs' operations across health, housing and justice programs.
Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice.
Collaborates with DHS' Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness.
Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community.
Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers.
Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements.
Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing.
Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources
Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County's Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms.
Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration.
Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms.
Represents CP in Countywide data governance, oversight, and strategic planning committees.
Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies.
JOB QUALIFICATIONS
Minimum Education/Experience
A Bachelor's degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field.
AND five (5) years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals.
A Master's or Doctoral degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field may substitute for up to two (2) years of experience.
Certificates/Licenses/Clearances
A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
Successful clearing through the Live Scan process with the County of Los Angeles.
Other Skills, Knowledge, and Abilities
Strong leadership and management skills, with the ability to motivate and inspire a team.
Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools.
Excellent analytical and problem-solving skills, with a strong attention to detail.
In-depth knowledge of statistical analysis techniques and methodologies
Proficiency in data modeling and data manipulation.
Strong business acumen and the ability to connect data insights to business objectives.
Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines.
Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery.
Proven track record of delivering impactful insights and recommendations based on data analysis.
Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
Strong understanding of data governance principles and practices.
Familiarity with data visualization best practices and tools.
Experience working with large datasets and using statistical analysis techniques.
Knowledge of programming languages such as Python or R is preferred.
Certification in relevant analytics tools or methodologies is a plus.
ONLINE APPLICATION REQUIREMENTS
At a minimum, candidates need to submit/upload electronic copies of a resume describing education to include training certifications, and relevant paid and volunteer experience - relevant to the essential job functions. Applications need to include legible copies of education diplomas/transcripts as applicable.
A cover introductory letter may be submitted while not required.
Legible copies of certificates to substantiate proficiency in skills, knowledge and abilities may be submitted.
Applications without supporting documentation at the time of application or no more than 5 business days after the initial application will not be included in the candidate pool.
Review of job description at *************************************** is suggested, especially if applying to the position from a third-party online application.
PHYSICAL DEMANDS
Stand Frequently
Walk Frequently
Sit Frequently
Handling Occasionally
Reach Outward Occasionally
Reach Above Shoulder Occasionally
Climb, Crawl, Kneel, Bend Occasionally
Lift / Carry Occasionally - Up to 35 lbs
Push/Pull Occasionally - Up to 35 lbs
See Constantly
Taste/ Smell Not Applicable
Not Applicable Not required for essential functions
Occasionally (0 - 2 hrs/day)
Frequently (2 - 5 hrs/day)
Constantly (5+ hrs/day)
WORK ENVIRONMENT
General Office Setting, Indoors Temperature Controlled
EEOC STATEMENT
It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Summer 2026 Data & Process Analytics Intern
Data science internship job in Los Angeles, CA
Job Description
Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.
Duration: 12 weeks (summer 2026)
Location: Torrance, CA (onsite)
Purpose
We're looking for an enthusiastic student to help turn raw factory data into actionable insights for our simulation and decision support tools.
The Role
Instrument and capture structured data from production systems
Assist with model calibration and parameter estimation for our discrete event simulation
Prototype visual dashboards and reporting tools (Python, Excel)
Document data workflows and contribute to tool‑design discussions
Basic Qualifications
Ability to lawfully access information and technology that is subject to US export controls
Undergraduate or first‑year master's in Industrial Engineering, Systems Engineering, Operations Research, or Data Science
Coursework or projects in process modeling, optimization, or simulation
Comfortable with Python (pandas, matplotlib, SimPy optional) and Excel
Curious about manufacturing operations and how data supports decisions
Pay Range$38-$45 USD
What We Offer:
Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions.
Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind.
Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.
Equal Employment Opportunity
Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
EEO Poster
In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected.
E-Verify: Right to Work
Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees.
Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish)
Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records.
No agencies, no solicitations, and no calls please.
Data Analyst Intern, application via RippleMatch
Data science internship job in Los Angeles, CA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques.
Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar.
Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar).
Ability to interpret complex data sets and provide actionable insights.
Excellent problem-solving skills and attention to detail.
Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
Strong communication and interpersonal skills, with the ability to collaborate effectively with team members.
Eagerness to learn and apply new techniques and tools in the field of data analysis.
Auto-ApplyData Scientist
Data science internship job in Los Angeles, CA
# Job Description: AI Task Evaluation & Statistical Analysis Specialist
## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience
Data Management (DM) Analyst I
Data science internship job in Simi Valley, CA
The Data Management (DM) Analyst I works with a cross-functional team to create/write, review, analyze, track, edit, and process for release company, project, and contract documentation via PLM Change Orders and other related assignments per DM processes.
Position Responsibilities
* Effectively identify, schedule, review, release, track, and send required deliverables per contract and process requirements
* Coordinate all correspondence of the deliverables (including approval, rejection, receipt) and ensure proper flow-down to internal team members
* Reviews PLM Changes (DCOs) for accuracy and helps to incorporate changes; Shepherd change through to release
* Collaborates with multiple disciplines to create, coordinate, track, and release PLM Changes
* Demonstrates general comprehension of how to review and understand program/project documentation
* Develops a basic understanding of company's products and DM processes
* Receives detailed instruction on work assignments under close supervision and consistently demonstrates ability to identify and prioritize workload with supervisor assistance
* Demonstrates effective interpersonal skills and ability to work in a productive manner with others across disciplines
* Solves practical problems and deals with a variety of variables in a constructive manner
* Responsible for completing assigned tasks within project schedule and budget
* Other duties as assigned by manager
Basic Qualifications (Required Skills & Experience)
* High school diploma or GED equivalent is required
* Entry level: less than 1 year of related experience
* Demonstrated experience and competency in data systems. Is a moderate user of MS Office Suite products
* Demonstrated attention to detail
* Consistently demonstrates effective analytical, problem-solving, interpersonal and communication skills and provides articulate and accurate instructions to others, as required
Other Qualifications & Desired Competencies
* Able to excel in a fast-paced, deadline-drive environment, where small teams share a broad variety of duties
* Exhibits core values of: trust & teamwork, customer commitment, innovate & simplify, ownership & results and has an excellent team attitude
* Excellent interpersonal skills and able to work well with others across disciplines
* Solves practical problems and deals with a variety of variables
* Displays strong initiative and drive to accomplish goals and meet company objectives
* Takes ownership and responsibility for current and past work
* Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others and the company
Physical Demands
* Ability to work in an office environment (Constant)
* Required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)
The salary range for this role is:
$54,593 - $77,385
AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.
ITAR Requirement:
This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.
Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: **********************************
We also encourage you to review our company website at ******************** to learn more about us.
Principals only need apply. NO agencies please.
Who We Are
Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.
Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.
What We Do
Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.
We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.
ITAR
U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.
Auto-ApplyData Scientist II - Marketing Mix Models
Data science internship job in Glendale, CA
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.
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Current Employees Apply via My Disney Career
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Business Process Analyst Intern, application via RippleMatch
Data science internship job in Los Angeles, CA
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field.
Basic understanding of business process analysis, modeling, and improvement techniques.
Ability to assist in the documentation, analysis, and optimization of business processes.
Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements.
Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects.
Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements.
Familiarity with ERP systems or other business management software.
Skills in data analysis and the use of analytics tools to support business decisions.
Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart.
Eagerness to learn about operational efficiencies and the application of technology in business processes.
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