95 AI jobs in Los Angeles

Our client is a leading research institution seeking an exceptional Data Science Research Fellow to join their innovative team. This prestigious fellowship offers a unique opportunity for ambitious individuals to contribute to cutting-edge research projects, apply advanced analytical techniques, and develop novel solutions to complex problems. You will work alongside renowned scientists and researchers, leveraging large datasets to uncover insights, build predictive models, and disseminate findings through publications and presentations. This role is ideal for a highly motivated graduate student or early-career professional with a strong foundation in statistics, machine learning, and programming. You will gain invaluable experience in a collaborative and intellectually stimulating environment, contributing to significant advancements in your field. The focus will be on applying data-driven methodologies to address critical challenges.

Responsibilities:

• Conduct rigorous data analysis and interpretation on diverse datasets to support ongoing research initiatives.
• Develop, implement, and validate statistical models and machine learning algorithms.
• Collaborate with senior researchers to define research questions and methodologies.
• Clean, preprocess, and transform raw data into usable formats for analysis.
• Utilize programming languages such as Python or R for data manipulation, modeling, and visualization.
• Interpret model results and generate clear, concise reports and visualizations for both technical and non-technical audiences.
• Contribute to the writing of research papers, grant proposals, and technical documentation.
• Present findings at internal meetings, academic conferences, and workshops.
• Stay abreast of the latest advancements in data science, machine learning, and relevant research fields.
• Assist in the design and execution of experiments and data collection strategies.
• Maintain organized and well-documented code and research methodologies.
• Collaborate effectively with interdisciplinary teams of researchers and scientists.
• Identify opportunities for applying new data science techniques to existing research problems.
• Contribute to the overall intellectual environment of the research group.

Qualifications:

• Currently pursuing or recently completed a Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Strong theoretical understanding and practical experience with statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with data visualization tools and libraries.
• Solid foundation in linear algebra and calculus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
• Ability to work independently and as part of a research team.
• Demonstrated interest in pursuing a career in research or advanced data analytics.
• Prior research experience or publications are a strong plus.

This internship opportunity is located in Los Angeles, California, US , with a hybrid work arrangement.

Are you a recent graduate with a passion for data and a desire to launch your career in a challenging and rewarding field? Our client, a leader in data analytics, is looking for enthusiastic Data Science Graduate Analysts to join their innovative team. This is a fully remote opportunity, allowing you to work from anywhere in the US, with a primary focus on projects based out of **Los Angeles, California, US**. As a Graduate Analyst, you will immerse yourself in real-world data challenges, working closely with senior data scientists to develop and implement cutting-edge analytical solutions. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, building predictive models, and interpreting complex datasets to extract actionable insights. You will gain hands-on experience with various machine learning algorithms, statistical modeling techniques, and data visualization tools. This internship is designed to provide comprehensive training and mentorship, enabling you to grow your skills and contribute meaningfully to our projects. We are looking for candidates with a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Data Science. Familiarity with programming languages like Python or R, and experience with SQL, are essential. A keen eye for detail, strong problem-solving abilities, and excellent communication skills are also required. This role offers an unparalleled opportunity to learn from industry experts, work on diverse projects, and build a strong foundation for a career in data science. The collaborative remote environment fosters innovation and allows for flexible work arrangements. We are committed to developing the next generation of data leaders and provide a supportive platform for learning and growth. Join us and help shape the future of data-driven decision-making. This internship is an excellent stepping stone for individuals aspiring to become full-time data scientists.

SENIOR DATA SCIENCE & AUTOMATION ANALYST

WHAT IS THE OPPORTUNITY?

The Senior Data Scientist works closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. The Senior Data Scientist will lead and perform the design data analytic and data science processes, create algorithms and predictive models to extract the data the business needs, and help analyze the data and share insights with peers.

WHAT WILL YOU DO?

• Conducts and leads data analysis and data mining techniques by acquiring, process, cleanse, integrate, explore and investigate data sets by using algorithms and potential models.

• Applies data science techniques, such as machine learning, statistical modeling and artificial intelligence working closely with senior team members.

• Measures and improves results and present final results to stakeholders. Make adjustments based on feedback and repeat processes to solve for new problems.

• Documents the analytic and data science work products

• Accurately define and execute transformations, aggregations and other data manipulations to meet requirements

• Conduct peer and team review sessions

• Assist in the creation of standards, templates and procedures for the department

• Contribute to the design of the data structure/data model and data flow

• Leverage knowledge and skill with a variety of query tools (e.g. SQL, R, Python), analytic techniques, tools, platforms, to analyze large quantities of data, from multiple sources, to design, create, and maintain, dashboards, business plans, forecasts, projections and presentations, models, algorithms, and statistical and financial analyses.

WHAT DO YOU NEED TO SUCCEED?

Required Qualifications *

• Bachelor's Degree or equivalent

• Minimum 12 years Advanced Java, R, SQL, Python coding

• Minimum 6+ years statistical Analysis, Machine Learning, Computer Science, Programming, Data Storytelling

• Minimum 6+ years big Data technologies such as Spark, AWS, Hadoop including traditional RDBMS such as Oracle and SQL Server.

• Minimum 6+ years of data mining (preferably in a data-intensive financial company)

Additional Qualifications

• Proficient experience in machine learning techniques and algorithms

• Proficient experience with common data science toolkits and visualization tools

• Proficient statistics skills, such as distributions, statistical testing, regression, etc.

• Proficient initiative, organization and time management skills

• Proficient analytical and problem solving skills

• Proficient verbal and written communication skills

• Proficient interpersonal relations skills, ability to effectively collaborate with others and work as part of a team

• Ability work with high degree of independence, researches and resolves questions and problems, requests manager input and keeps manager informed

• Demonstrated ability to manage multiple tasks and meet deadlines

• Lead multiple tasks and projects; lead and guide stakeholders to solve new problems

WHAT'S IN IT FOR YOU?

Compensation Starting base salary: $87,000- $148,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.

Benefits and Perks

At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including:

• Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date

• Generous 401(k) company matching contribution

• Career Development through Tuition Reimbursement and other internal upskilling and training resources

• Valued Time Away benefits including vacation, sick and volunteer time

• Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs

• Career Mobility support from a dedicated recruitment team

• Colleague Resource Groups to support networking and community engagement

Get a more detailed look at our

ABOUT US

Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at

INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT

City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

*Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled.

Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.

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

*SENIOR DATA SCIENCE & AUTOMATION ANALYST*
WHAT IS THE OPPORTUNITY?
The Senior Data Scientist works closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. The Senior Data Scientist will lead and perform the design data analytic and data science processes, create algorithms and predictive models to extract the data the business needs, and help analyze the data and share insights with peers.
WHAT WILL YOU DO?
* Conducts and leads data analysis and data mining techniques by acquiring, process, cleanse, integrate, explore and investigate data sets by using algorithms and potential models.
* Applies data science techniques, such as machine learning, statistical modeling and artificial intelligence working closely with senior team members.
* Measures and improves results and present final results to stakeholders. Make adjustments based on feedback and repeat processes to solve for new problems.
* Documents the analytic and data science work products
* Accurately define and execute transformations, aggregations and other data manipulations to meet requirements
* Conduct peer and team review sessions
* Assist in the creation of standards, templates and procedures for the department
* Contribute to the design of the data structure/data model and data flow
* Leverage knowledge and skill with a variety of query tools (e.g. SQL, R, Python), analytic techniques, tools, platforms, to analyze large quantities of data, from multiple sources, to design, create, and maintain, dashboards, business plans, forecasts, projections and presentations, models, algorithms, and statistical and financial analyses.
WHAT DO YOU NEED TO SUCCEED?
*Required Qualifications**
* Bachelor's Degree or equivalent
* Minimum 12 years Advanced Java, R, SQL, Python coding
* Minimum 6+ years statistical Analysis, Machine Learning, Computer Science, Programming, Data Storytelling
* Minimum 6+ years big Data technologies such as Spark, AWS, Hadoop including traditional RDBMS such as Oracle and SQL Server.
* Minimum 6+ years of data mining (preferably in a data-intensive financial company)
*Additional Qualifications*
* Proficient experience in machine learning techniques and algorithms
* Proficient experience with common data science toolkits and visualization tools
* Proficient statistics skills, such as distributions, statistical testing, regression, etc.
* Proficient initiative, organization and time management skills
* Proficient analytical and problem solving skills
* Proficient verbal and written communication skills
* Proficient interpersonal relations skills, ability to effectively collaborate with others and work as part of a team
* Ability work with high degree of independence, researches and resolves questions and problems, requests manager input and keeps manager informed
* Demonstrated ability to manage multiple tasks and meet deadlines
* Lead multiple tasks and projects; lead and guide stakeholders to solve new problems
*WHAT'S IN IT FOR YOU?*
*Compensation*Starting base salary: $87,000- $148,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.
*Benefits and Perks*
At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including:
* Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date
* Generous 401(k) company matching contribution
* Career Development through Tuition Reimbursement and other internal upskilling and training resources
* Valued Time Away benefits including vacation, sick and volunteer time
* Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs
* Career Mobility support from a dedicated recruitment team
* Colleague Resource Groups to support networking and community engagement
Get a more detailed look at our US
Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at AND EQUAL OPPORTUNITY EMPLOYMENT*
City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
*Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled.
Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.

Our client is seeking a passionate and knowledgeable Online Course Instructor specializing in Data Science to contribute to their esteemed educational platform. This position is entirely remote, allowing you to share your expertise with a global audience. You will be responsible for developing, delivering, and maintaining engaging online courses that cover key aspects of data science, machine learning, and statistical analysis. This includes designing curriculum, creating lecture materials, developing assignments and projects, and facilitating online discussions. You will also provide timely feedback to students, assess their progress, and foster a supportive learning environment. A deep understanding of core data science concepts, programming languages (Python, R), and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow) is essential. Experience with data visualization tools and techniques is also highly valued. The ideal candidate will possess a Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field, along with demonstrable experience in teaching or training at the university or professional level. Previous experience developing online courses is a significant advantage. Excellent communication, presentation, and interpersonal skills are required, along with the ability to explain complex topics clearly and concisely. You must be a self-motivated individual, comfortable working independently and managing your time effectively in a remote setting. This is a rewarding opportunity to impact the education of aspiring data scientists worldwide.

Data Science Manager, GenAI - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Recruiting for this role ends 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases. The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
+ Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
+ Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development
+ Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles
The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions
+ Experience in a client-facing role or internal AI product development role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#MonitorDeloitte
#DeloitteJobs
#StrategyConsulting
#DeloitteStrategy
#Strategy26
#SFL26
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Job Title: 2026 US Summer Internships - Analytics & Data Science Requisition ID: R Job Description: 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 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.

Description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities

As an experienced technology professional, you will be responsible for:

• Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs

• Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services

• Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies

• Acting as a trusted advisor to customers on industry trends and emerging technologies

• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team

About AWS:

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Experience developing software code in one or more programming languages (java, python, etc.)

• PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)

• 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

• 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience

• 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Preferred Qualifications

• Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)

• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred

• Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

• Experience with coding, automation and scripting (e.g., Terraform, Python)

• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.