Data science internship jobs in Marysville, WA

Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12-24 weeks and begins in May/June 2025 or August/September 2025. Successful candidates must be able to commit to one of the following start dates below: (Select below options for Summer) * Monday, May 12 * Monday, May 19 * Tuesday May 27 (Memorial Day May 27) * Monday, June 9 * Monday, June 23 (Select below options for Fall) * Monday, August 11 * Monday, August 25 * Monday, September 8 * Monday, September 22 Please state your availability clearly in your resume (Start date, End date). Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Candidates who pass resume evaluation will be invited to participate in ByteDance's technical online assessment through HackerRank. Responsibilities: * Develop scientific metrics to measure success of E-Commerce governance and experience team; * Develop the credit system for merchants and creators to incentivize good behavior; * Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design.Minimum Qualifications: * Currently pursuing a PhD in Computer Science, Statistics, Economy or other relevant majors with 2+ years of work experience. * Proficient in at least one software programming language, such as SQL/R/Python; * Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge. Preferred Qualifications: * Experiences in Hadoop/Spark/Storm and other computing platforms and tools. * Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Researching and proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews What we look for in a candidate: Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Strong problem-solving and time management skills Strong communication skills and capacity to report and disseminate results Passion for scientific and technical excellence Perks: Competitive pay Healthy snacks stipend Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

The R&D / Quality Food Science Intern will conduct projects of various sizes to increase nutpods' understanding of our product line and to identify new product opportunities. The intern will gain understanding of and exposure to emulsion stability, aseptic processing, and sensory analysis of coffee creamer products. The internship projects and duties will include Quality Assurance and intersect with Operations and Innovation to further our product knowledge. As a member of the R&D and Quality team, the person will work to maintain a clean, organized, and efficient R&D lab by following standards for lab use and product testing. Requirements 3.0 GPA or higher Enrolled at a 4-year accredited college or university as a sophomore, junior, senior or master's student, actively pursuing your education in Food Science or other related degrees (Food Engineering, Food Chemistry, etc.). Must have at least one semester of school left after internship completion or have acceptance into a graduate program. Currently possess unrestricted authorization to work in the United States. We do not intend to sponsor work visas with respect to this position. Ability to taste subtle flavor, aroma, and mouthfeel differences Ability to lift, move, and carry boxes and equipment up to 35lbs. PLEASE NOTE: Relocation, transportation, and housing will not be provided. Who We Are: nutpods manufactures plant based, dairy-free coffee creamers and adjacent products for coffee lovers nationwide. Now the #2 plant-based creamer brand nationwide across retail and online channels, nutpods has fostered a cult following and has exciting plans for growth in the coming years. With a small and mighty team of 35 people, nutpods is looking for eager, enthusiastic, and experienced candidates for this important role. Company Culture: Our culture is of huge importance to the owners and team at nutpods. We are looking for people who will be a great addition to our culture. We are: Kind: We treat each other with kindness and mutual respect. Dynamic: We are full of energy and defined by constant progress, collaboration, and new ideas. Relentless: We relentlessly pursue a crazy good product, business, and team. Empowered: We empower each other to fail forward with trust, transparency, and the opportunity to learn and grow. Passionate: We take immense pride in what we make, how we work together, the impact we have, and how we treat people. We strive to do what's right for our team, customers, and quality, even when no one is looking. Benefits Pay rate: $20-30 per hour Paid holidays Cell phone reimbursement nutpods is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.

Business UnitAbout the Hiring TeamTiMi Montreal is a new AAA development team making an innovative open world role-playing game in Unreal Engine 5 that is part of the award-winning TiMi Studio Group and Tencent. The studio's core team has a proven track record making hit open world games, including Assassin's Creed, Far Cry and Watch Dogs. This is an ambitious team who aspires to be a flagship first-party studio for TiMi, reaching global audiences of passionate gamers who appreciate the studio's optimistic and inclusive culture that rewards disruptive, risk-taking game development.What the Role EntailsAward-winning TiMi Studio Group seeks a Data Analyst in Bellevue, WA, US. TiMi Studio Group, a subsidiary of Tencent Games, is passionate about creating compelling worlds for players to explore for years to come. Are you someone who loves participating in building new worlds, understands what captivates audiences, and cares deeply about gaming as a medium? Are you ready to channel your passion and energy into creating expansive open world games for global audiences? Then, come join us in our ambitious endeavor. Job Responsibilities: 1. Responsible for a global publishing PC game data analysis, establishing a data metrics system (monitoring, alerting, and interpretation) and visualizing, tooling, and systematizing it. 2. Utilize game features and functionalities to deliver data analysis and support, driving product optimization while aiding R&D and publishing decision-making processes. 3. Monitor critical game metrics, proactively identify and alert on data anomalies, diagnose issues, and mitigate associated risks. 4. Implement and manage data tracking integration, adapting and optimizing data collection strategies in alignment with version updates. Who We Look For Qualifications: 1. 3+years of game industry experience, with a demonstrated interest in and deep knowledge of live service video games. 2. Strong data sensitivity and logical thinking, with proficiency in data analysis and statistical tools such as SQL, Excel, and similar platforms. 3. Proven experience collaborating with development teams to instrument data collection and maintain high data quality standards. 4. Passion for the gaming industry and turning data into insights into actions. The expected base pay range for this position in the state(s) listed above is $140,000 to $185,000. Actual pay is based on market location and may vary depending on job-related knowledge, skills, actual location of work, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are also able eligible to participate in the Company's 401(k) plan, are eligible to accrue from 15 up to 25 days of vacation leave per year, up to 10 paid holidays per year, and accrue up to 10 days of paid sick leave per year. Your benefits eligibility requirement will be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may be pro-rated for those who start working during the calendar year. Why Join Us? Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $26.98 to $62.37 per hour. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Data Scientist Opportunity We are seeking a highly experienced Data Scientist to lead the strategy, development, and operationalization of advanced analytics and predictive insights that power our Go-To-Market (GTM) motion. This role will operate as a senior technical and thought leader within the Enterprise Data & Insights organization, helping steer the evolution of data science capabilities across the company. You will be responsible for architecting scalable data science solutions that influence revenue, pipeline performance, customer value, and strategic business decisions. This includes setting the long-term data science roadmap, shaping platform and tooling choices, and implementing robust MLOps practices to ensure repeatability, governance, and operational excellence. A key part of this role will be enabling a future-state citizen data science model through the creation of extensible frameworks, reusable assets, and self-service capabilities. This is a high-visibility, impact-driven role that blends technical depth, product thinking, stakeholder partnership, and organizational leadership. What you'll be doing Data Science Strategy & Leadership Own the end-to-end data science vision and multi-year roadmap, aligning with GTM, Sales, Marketing, Customer Success, and Executive leadership. Define and drive the evolution of the data science platform, including model development environments, feature stores, ML pipelines, and production deployment frameworks. Establish and oversee MLOps standards, ensuring reproducibility, model monitoring, versioning, performance tracking, and continuous improvement cycles. Lead governance frameworks for responsible and transparent ML usage across the organization. Advanced Analytics & Predictive Modeling Build, deploy, and scale predictive models and optimization frameworks that impact revenue generation, pipeline health, customer engagement, and churn/retention. Develop advanced analytics solutions including lead scoring, propensity to buy, churn and risk identification, and deeper insights and correlation analysis on company key performance indicators. Partner closely with GTM leadership to translate business goals into analytical solutions and communicate complex findings in clear, business-centric terms. Technical Architecture & Full-Stack Development Architect and implement full-stack data science workflows: data discovery, feature engineering, modeling, validation, deployment, performance measurement, and iteration. Collaborate with data engineering to shape the data ecosystem (databases, pipelines, feature stores, compute infrastructure) required for scalable ML. Deliver reusable libraries, templates, and tools to support a democratized, self-service analytics environment. Evangelism & Enablement Mentor and guide data scientists, analysts, and cross-functional teams on ML best practices, capabilities, and opportunities. Drive the foundation of a citizen data science program, enabling non-technical teams to leverage ML-powered insights safely and effectively. Represent data science across executive forums, cross-functional initiatives, and enterprise programs. What you'll bring to the role 7+ years of experience as a data scientist or machine learning practitioner, with at least 3-5 years in a senior or staff-level leadership role. Proven experience building full-stack data science solutions - from data ingestion and feature generation to model deployment and monitoring. Deep expertise in: Machine learning algorithms (supervised/unsupervised, NLP, forecasting, optimization) Statistical modeling and experimental design Python and relevant ML libraries (scikit-learn, TensorFlow/PyTorch, XGBoost, etc.) SQL and distributed data technologies Strong fluency with cloud-based analytics stacks (AWS, Azure, or GCP) and modern ML platforms (Databricks, SageMaker, Vertex AI, MLflow, etc.). Hands-on experience implementing MLOps, CI/CD for ML, and automated training/deployment pipelines. Excellent communication skills, with a proven ability to translate analytical insights into business impact. Demonstrated success influencing and partnering with Sales, Marketing, GTM Operations, or Customer Success organizations. And extra credit if you have experience in any of the following! Experience in a high-growth SaaS, cybersecurity, identity, or enterprise software environment. Prior ownership of ML platform decisions and tooling evaluations. Experience building or enabling self-service analytics or citizen data science capabilities. Familiarity with GTM analytics concepts such as funnel modeling, pipeline forecasting, account scoring, customer lifetime value (CLV), and revenue intelligence. #LI-MC1 #LI-Hybrid #P8173_3312145 The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $174,000-$262,000 USD Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: **************************** The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$156,000-$234,000 USD What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Join Tessera and make a difference! Tessera is: A national leader in employing individuals with disabilities and veterans. Composed of a dynamic, growing team of social entrepreneurs. Operating self-sustaining businesses across 15 states and in the District of Columbia, workforce of over 1,700 employees. Dedicated to delivering an exceptional customer experience to our customers. Committed to offering an outstanding employee support and development program. Tessera's Bremerton, Washington, Home Office supports nationwide operations with a team of highly trained and motivated professionals in finance, human resources, vocational and workforce development, information systems, strategy, business development, communications, marketing, quality, safety, learning, and more. Location: Bremerton, Washington (In-person) Type: Non-Exempt (Temporary) Compensation: $25.00 per hour Work Schedule: Full-time, Monday - Friday 7:30 am - 4:00 pm (Flexible start and end times depending on scheduling needs. Position is temporary and not expected to exceed 10 weeks. Start and end date will be approximately between May - September 2026.) As a Data Analytics Intern, you'll… The Data Analytics Intern will work within the Workforce Development department, supporting our Employee Support functions. We are seeking a motivated Data Analytics Intern to join our Workforce Development team by transforming data from our annual employee engagement survey and enhancing our Workforce Development report using PowerBI. The intern will be responsible for pulling data from SurveyMonkey, creating visually appealing reports for executive presentations, and providing actionable insights. This is an excellent opportunity for someone interested in data analysis, visualization, and workforce development. This position will work with people of all abilities. Interns will gain direct work experience, professional & personal development workshops, mentorship & networking, and exposure to senior leaders in their field of interest during this paid internship. Extract data from SurveyMonkey and import it into PowerBI for analysis. Design and create visually compelling dashboards and reports in PowerBI that summarize employee engagement data for executive review. Collaborate with the Workforce Development team to enhance the existing Workforce Development report in PowerBI. Ensure data accuracy and maintain organized documentation of work processes. Assist in identifying trends and insights from the survey data that support workforce development strategies. Present findings and visualizations to leadership in an easy-to-understand format. Tailor information based on site needs, customizing the dashboards and visualization based on feedback or input. Provide support for ad-hoc data requests and other tasks as assigned. Work on a collaborative intern cohort team project. Maintain a professional and positive attitude. Attend intern team meetings and trainings. All Other Duties as Assigned* You'd make an excellent Data Analytics Intern if you: Consider yourself a people person. Love working on collaborative teams. Are dedicated to internal and external customer service. Take pride in your work. Are drawn to serving others and want to challenge yourself through mission-driven work. Tessera is proud to offer a comprehensive compensation and benefits package to our eligible Interns. Paid federal holidays and paid sick leave on a pro-rata basis, based on number of hours worked Professional development, certifications, and training opportunities Employee Assistance Program (EAP) An engaging wellness program including an on-site gym Summary of desired skills and experience for the Tessera Data Analytics Intern: Preferably in the process of obtaining a BA/BS in Information Technology, Data Analytics, Business, or a closely related field. Previous experience in Power BI required. Computer data management and word processing skills. Ability to maintain a high standard of confidentiality, time management, organizational, and communication skills. Must live within commutable distance of Bremerton, Washington and be able to commute a minimum of three days per week. A valid state driver's license is preferred with the ability to obtain and maintain coverage by Tessera's insurance. Access to a federal military installation requires a REAL ID-compliant driver's license or an acceptable alternative, such as a U.S. passport or military ID, in accordance with the REAL ID Act. Please visit this website for more information: **************************** Must be able to obtain and maintain applicable security clearances and installation access. A background check and E-Verify will be conducted for this position. *** Access to a federal military installation requires a REAL ID-compliant driver's license or an acceptable alternative, such as a U.S. passport or military ID, in accordance with the REAL ID Act. Please visit this website for more information: **************************** To Apply: Visit our website at *************** to complete an application. Current Employees: need to log into their Workday to apply through the Jobs Hub . Please reach out to your Recruiter if you need assistance. Tessera is a national non-profit, government contractor that is dedicated to “Creating Opportunities for People with Disabilities” through hiring and supporting individuals with disabilities and veterans with disabilities. We take pride in our mission-focused culture, our Core Values, Diversity, Partnership, Commitment, Integrity, and Quality, and our dedication to providing a safe and respectful work environment to our employees. Individuals with disabilities are encouraged to apply. Tessera is here to help you with the recruitment process. If you require an accommodation or support, please contact us at ************** ext. 349, or email **********************. Tessera is an Equal Opportunity Employer - Women/Minority/Veteran/Disabled - Tessera participates in E-Verify

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker * Required Education * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Hi My name is Ruchie Agarwal and I'm an Sr. Team Lead at Droisys. Our records show that you are an experienced IT professional with experience relevant to one of my current contract openings. Kindly send me your updated resume along with the below mentioned details: Full Name: Contact #'s: E-mail Address: Current Location: Authorization Status: How soon you can Join: Willing to Relocate: Interview Time Slot: Skype ID Highest Education US Experience: India Experience: DOB: Skill Matrix: Sr. No. Skill Years of Experience Rate Your Self(0-10) 1. A/B testing 2. site analytics 3. 4. Linked In ID : 2 Professional References: Name Phn No Official Mail ID : Project Worked Name Phn No Official Mail ID : Project Worked Position : Data Analyst Location is Redmond, WA Duration : Long Term Please share local profiles for this role. Data Analyst : The role will include the following responsibilities : - A&O Revenue and P&L Reporting, Forecast Reports etc. - Rhythm of Business process support thru reports (monthly close, quarterly business reviews and mid-year review). Create new reports if needed. Mostly, maintenance of existing reports with VB code embedded in few of the reports. - Field and Corporate Inquiry / Issue management with Reporting The individual should possess the following competencies at a minimum - Moderate VBA skills would be a plus point. - Financial Analysis experience - Self-starting team player with an optimistic outlook and positive attitude - Deep expertise of Excel reporting & analysis (to include Pivot Tables, PowerPivot, Power View and reports based on OLAP queries, Data Validation, Lookups, Nested ifs, macros, Conditional Formatting etc.) - Deep expertise of Productivity Software & Services (Outlook, PowerPoint, SharePoint, SharePoint Online Lync, O365) - Understanding or awareness of SQL Server remote management/access and data cubes -- Thanks/Regards Ruchie Agarwal Desk: ************ Extn. 299 Cell : ************ Skype : ruchi.droisys Address: 4800 Patrick Henry Dr., Santa Clara, CA 95054 [email protected] | *************** | Join Droisys Group Help promote Green Business practices by not printing this email. Seven-Time Inc. 5000 Honoree 2008, 2009, 2010, 2011, 2012, 2013, 2014 OUR MISSION: Droisys is an internationally recognized leader helping mankind advance and businesses grow through cost effective technology. Our focus is on creating secure applications to simplify people's lives so they become raving fans. Additional Information All your information will be kept confidential according to EEO guidelines.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. We are seeking a skilled and experienced Data Analyst III with strong analytical capabilities. The ideal candidate will have a basic understanding of key accounting concepts and play a critical role in managing the lifecycle of our internal data products-from specification through deployment and continuous improvement-ensuring data accuracy and supporting operational and accounting-driven insights. This individual will practice strong communication with team members and stakeholders, ensuring that data findings are effectively translated into actionable decisions and ensure value of the projects are delivered. By leveraging tools like Snowflake for data warehousing and Tableau for data visualization, the Data Analyst III will build intuitive dashboard designs and reporting frameworks that support data-driven decision-making across the organization. Key Responsibilities: Accounting Data Understanding: Apply practical knowledge of accounting fundamentals-such as invoicing workflows, contract structures, GL entries, AR, and AP-to ensure data products and reports reflect accurate, consistent, and compliant accounting information. Stakeholder Communication: Serve as a liaison between the data team and internal stakeholders, including Accounting partners. Translate complex business needs into clear, actionable data requirements and insights. Gather reporting requirements, provide progress updates, and adjust priorities based on evolving business needs. Project Management: Coordinate data analytics projects from inception to completion, ensuring deliverables meet timelines, scope, and quality expectations. Apply project management best practices to coordinate cross-functional teams, allocate resources effectively, mitigate risks, and deliver project value-especially in initiatives tied to accounting reporting cycles Lifecycle Support for Internal Data Products: Participate in all phases of data product development-including requirement gathering, design, implementation, testing, deployment, and post-launch optimization. Drive continuous improvement using agile methodologies with a focus on accuracy and reliability for accounting-related use cases. Dashboard & Reporting Design: Design and develop user-focused dashboards and reports using Tableau, optimizing visualization for complex accounting and operational datasets. Apply strong data analysis, design, and usability principles to enable quick insights and efficient decision-making. Technical Proficiency: Demonstrate expert knowledge and hands-on experience with Snowflake for efficient data storage and management and utilize advanced capabilities in Tableau to build interactive reports. Work effectively with accounting data sources to ensure completeness and consistency of accounting-related information. Required Qualifications: Minimum of 5 years of experience in data analytics, with a proven track record of managing data projects and designing data products. Project management skills, with experience in agile development methodologies. Exceptional communication and interpersonal skills, with the ability to engage effectively with both technical and non-technical stakeholders. In-depth knowledge of database and visualization software (Snowflake and Tableau a plus), including advanced data modeling, analysis, and visualization techniques. A portfolio of dashboard designs or case studies demonstrating expertise in design principles for data visualization. Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. At least one year's of experience with Oracle EBS and OBIEE #LI-TL2 The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. The annual base pay for this position is: $100,000.00 - $150,000.00 F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5's differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: ******************************************* . F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com). Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Work Hours: M - F, 9:00 am - 5:30 pm Pay Rate: $35 - $40 /hr DOE & location This is a non-traditional Human Data Research Analyst role working with an exciting AI start-up. In this role your responsibilities will involve utilizing your expertise in AI to contribute to the development of optimized AI solutions. Responsibilities: Representing various clients' software to provide enhanced AI solutions to boost their business productivity. Create Use case scenarios derived from client solutions utilizing tailored AI solutions. Execute delivering your thoughts on the opportunities for improvement. Maintain and improve processes that support the creation of the Use Cases. Attend meetings as appropriate. Independently identify operational inefficiencies and work to mitigate them. Assist with other duties as needed. Keywords provides a competitive compensation package, good benefits and a casual, fun, productive and supportive working environment. We empower people to perform to the best of their ability with our “can do” attitude. We appreciate and embrace flexibility and learn at every opportunity to grow ourselves through experience, training and tackling new challenges. This is what makes us Keywordians . Requirements Cognitive Science, Computer Science or other Masters degree associated with AI Technical aptitude or experience working with AI Experience with Python, SQL, typescript (preferred) Data modeling (preferred) Experience working with and creating Data Visualizations Strong attention to detail Strong Organization skills Critical thinking and problem-solving skills Strong Analytical skills Process Improvement experience Strong aptitude of working with Google sheets, Zoom, and Slack Exemplify the quality of having a "Proactive Approach," attitude which includes a high level of accountability, transparency, and teamwork first & foremost Ability to learn on the job Benefits At KeyWords we provide all our contingent workforce with: Paid Time Off (including sick days and holidays) 401k (3% matching) Medical, Dental and Vision benefits By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at ************************************************************ Role Information: EN Studio: Keywords Studios Location: Americas, United States Area of Work: Embedded Services Service: Globalize Employment Type: Full Time Working Pattern: Remote

About Centific At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people - from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do Create data labels for email fraud scenarios using a data labelling platform Analyze the quality and performance of the data labels and the AI models Provide feedback and suggestions for improving the data labelling process Collaborate with the data science team and other stakeholders on data labelling projects Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises' toughest challenges.

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: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. The Data & Insights (D&I) team harnesses the power of data to deliver transformative insights and solutions to EA game teams and players. D&I teams are involved in every aspect of data, driving strategy and governance; building powerful data and AI applications; and developing personalization, experimentation, and analytics tools, and more. When you join D&I, you're joining a team of passionate experts working to enable more profound understanding, better ways of working, and more meaningful experiences for our players. We're looking for a sharp, curious, and collaborative Data Scientist to join our Growth Analytics team. You'll work closely with media buyers to build models and experiments that inform our marketing strategy. Your insights will shape how we allocate budget, measure impact, and forecast performance across digital channels. You'll join a tight-knit team of five data scientists and will report directly to the Senior Manager of Data Science. This is a hybrid role with an expectation of 3 in-office days per week. The position is open to candidates based near any EA office in Canada and the United States (listed above) Responsibilities: * Build Bayesian Hierarchical Media Mix Models (MMMs) to quantify the contribution of marketing channels * Design and analyze geo-based incrementality experiments and user-level re-engagement tests to measure the causal impact of marketing spend * Lead the design and analysis of retargeting experiments, applying A/B testing principles to evaluate incremental impact and guide campaign optimization * Develop budget optimization tools to support strategic decision-making * Create forecasting models (ie: Prophet) to project game performance * Translate model insights into actionable recommendations, collaborate closely with media buyers and presenting results and insights to stakeholders Qualifications: * Master's degree in a quantitative field (e.g., Statistics, Econometrics) and 2-5 years of experience in data science or analytics, ideally focused on marketing measurement or experimentation * Familiarity with MMMs, causal inference techniques (e.g. CausalImpact, Fixed Effect Regression), and experimental design * Strong experience with Python/R and SQL * Comfort working in a Bayesian modeling framework * Ability to communicate technical results to non-technical stakeholders COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$100,000 - $139,500 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$117,000 - $179,600 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$108,900 - $145,200 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Governance and Experience team of e-commerce are responsible for ensuring the safety and trust-worth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if Fall Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23 Fall Start Dates: Monday, August 11 Monday, August 25 Monday, September 8 Monday, September 22 Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank. Responsibilities: * Develop scientific metrics to measure success of E-Commerce governance and experience team; * Develop the credit system for merchants and creators to incentivize good behavior; * Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design.Minimum Qualifications: * Currently pursuing a BS/MS degree in Computer Science, Statistics, Economy or other relevant majors with 2+ years of work experience. * Proficient in at least one software programming language, such as SQL/R/Python; * Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge. Preferred Qualifications: * Experiences in Hadoop/Spark/Storm and other computing platforms and tools. * Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Data Scientist Opportunity We are seeking a highly experienced Data Scientist to lead the strategy, development, and operationalization of advanced analytics and predictive insights that power our Go-To-Market (GTM) motion. This role will operate as a senior technical and thought leader within the Enterprise Data & Insights organization, helping steer the evolution of data science capabilities across the company. You will be responsible for architecting scalable data science solutions that influence revenue, pipeline performance, customer value, and strategic business decisions. This includes setting the long-term data science roadmap, shaping platform and tooling choices, and implementing robust MLOps practices to ensure repeatability, governance, and operational excellence. A key part of this role will be enabling a future-state citizen data science model through the creation of extensible frameworks, reusable assets, and self-service capabilities. This is a high-visibility, impact-driven role that blends technical depth, product thinking, stakeholder partnership, and organizational leadership. What you'll be doing * Data Science Strategy & Leadership * Own the end-to-end data science vision and multi-year roadmap, aligning with GTM, Sales, Marketing, Customer Success, and Executive leadership. * Define and drive the evolution of the data science platform, including model development environments, feature stores, ML pipelines, and production deployment frameworks. * Establish and oversee MLOps standards, ensuring reproducibility, model monitoring, versioning, performance tracking, and continuous improvement cycles. * Lead governance frameworks for responsible and transparent ML usage across the organization. * Advanced Analytics & Predictive Modeling * Build, deploy, and scale predictive models and optimization frameworks that impact revenue generation, pipeline health, customer engagement, and churn/retention. * Develop advanced analytics solutions including lead scoring, propensity to buy, churn and risk identification, and deeper insights and correlation analysis on company key performance indicators. * Partner closely with GTM leadership to translate business goals into analytical solutions and communicate complex findings in clear, business-centric terms. * Technical Architecture & Full-Stack Development * Architect and implement full-stack data science workflows: data discovery, feature engineering, modeling, validation, deployment, performance measurement, and iteration. * Collaborate with data engineering to shape the data ecosystem (databases, pipelines, feature stores, compute infrastructure) required for scalable ML. * Deliver reusable libraries, templates, and tools to support a democratized, self-service analytics environment. * Evangelism & Enablement * Mentor and guide data scientists, analysts, and cross-functional teams on ML best practices, capabilities, and opportunities. * Drive the foundation of a citizen data science program, enabling non-technical teams to leverage ML-powered insights safely and effectively. * Represent data science across executive forums, cross-functional initiatives, and enterprise programs. What you'll bring to the role * 7+ years of experience as a data scientist or machine learning practitioner, with at least 3-5 years in a senior or staff-level leadership role. * Proven experience building full-stack data science solutions - from data ingestion and feature generation to model deployment and monitoring. * Deep expertise in: * Machine learning algorithms (supervised/unsupervised, NLP, forecasting, optimization) Statistical modeling and experimental design * Python and relevant ML libraries (scikit-learn, TensorFlow/PyTorch, XGBoost, etc.) SQL and distributed data technologies * Strong fluency with cloud-based analytics stacks (AWS, Azure, or GCP) and modern ML platforms (Databricks, SageMaker, Vertex AI, MLflow, etc.). * Hands-on experience implementing MLOps, CI/CD for ML, and automated training/deployment pipelines. * Excellent communication skills, with a proven ability to translate analytical insights into business impact. * Demonstrated success influencing and partnering with Sales, Marketing, GTM Operations, or Customer Success organizations. And extra credit if you have experience in any of the following! * Experience in a high-growth SaaS, cybersecurity, identity, or enterprise software environment. * Prior ownership of ML platform decisions and tooling evaluations. * Experience building or enabling self-service analytics or citizen data science capabilities. * Familiarity with GTM analytics concepts such as funnel modeling, pipeline forecasting, account scoring, customer lifetime value (CLV), and revenue intelligence. #LI-MC1 #LI-Hybrid #P8173_3312145 The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $174,000-$262,000 USD Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: **************************** The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$156,000-$234,000 USD What you can look forward to as a Full-Time Okta employee! * Amazing Benefits * Making Social Impact * Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at ********************************************* U.S. Equal Opportunity Employment Information Read more Individuals seeking employment at this company are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. When submitting your application above, you are being given the opportunity to provide information about your race/ethnicity, gender, and veteran status. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. 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Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

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.