Data science internship jobs in Lynnwood, WA - 531 jobs

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

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

TikTok Global E-commerce Data Science team leverages rigorous data analysis and scientific methodologies to drive business growth, enhance operational efficiency, and improve the experience for users, merchants, and creators worldwide. The team conducts exploratory analyses and forward-looking insights to identify market trends and user/merchant/creator behavioral patterns, uncovering opportunities for optimization. We design and interpret A/B tests, apply causal inference methodology to support product iterations for both to C and to B products. We also build foundational data infrastructure and develop dashboards to empower product, operations, engineering, and cross-functional teams to monitor performance and identify areas for improvement. At TikTok, we champion a data science philosophy rooted in statistical rigor, data-driven decision-making, and scalable methodologies to support global e-commerce expansion. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. 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. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. 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. 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. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Conduct data analysis for TikTok's global e-commerce products, covering areas such as creators & merchants, content e-commerce, promotion tools, shoptap, and transaction flow; * Design and analyze A/B tests, evaluate product optimizations, analyze campaign performance, monitor key metric fluctuations, and assess client-side version updates; * Analyze country-specific factors influencing product optimization and business growth, and propose actionable product improvement solutions aligned with business direction; * Collaborate closely with product managers, operations, engineering, and algorithm teams to implement data-driven strategies and deliver measurable business impact; * Build and maintain e-commerce product metric systems, work with data engineering teams to construct foundational data pipelines and visual dashboards, and enable business stakeholders to gain actionable insights.Minimum Qualifications: * Currently pursuing an Undergraduate/Master in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Proficient in data analysis tools and languages such as SQL, Python, or R; * Solid foundation in statistics, with hands-on experience in A/B testing, regression analysis, and causal inference; * Strong data visualization skills and ability to clearly communicate analytical insights through dashboards and reports; * Results-driven, highly self-motivated, and accountable; excellent team player with strong organizational and communication skills. * Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: * Currently pursuing an Advanced Degree (MS) in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines; * Experience in cross-border or international e-commerce data analysis or modeling; * Familiarity with machine learning frameworks or predictive modeling; hands-on experience with tools such as Scikit-learn, TensorFlow, or PyTorch; * Experience working with big data technologies such as Hive, Spark, or Hadoop; * Strong cross-functional communication skills. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

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.

Job Description Talus Bioscience is seeking highly motivated summer interns to join our team! These paid summer internships provide opportunities to own and participate in challenging and impactful business-critical projects at a thriving biotech start-up! Internships are approximately 3-months (summer) in duration and the roles are performed on-site at our Seattle, WA laboratory under the supervision of PhD scientists. Relocation assistance benefits are not available for this job posting. Interns will participate in all lab meetings and team meetings, as well as Talus Bio social and team-building events. All positions require excellent communication and interpersonal skills, and successful candidates will complement our culture and align with our core values. At the end of the internship, interns will present their project to the entire company. Internship Description: Talus Bio is seeking a summer intern to develop innovative approaches to analyze proteomics data leveraging the latest advances in machine learning and artificial intelligence. The intern will work with the Data Science and Engineering team to pilot new computational methods that will enhance our ability to target previously undruggable proteins. Target Applicant: Graduate or undergraduate student in bioinformatics, computer science, or related field [Note: this internship is available only to those with legal authorization to work in the US] Status: Full-time role (40 hours/week); hourly (non-exempt) position Required Skills and Experience: 2+ years of Python programming, 1+ years of machine learning with Scikit-Learn or similar, and 1+ years of deep learning with PyTorch, JAX, or TensorFlow Assignments: Develop machine learning approaches to improve proteomics data analysis and drug discovery. The project will be aligned to the intern's interests and experience. Job Posted by ApplicantPro

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.

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 ********************

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.

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

Required Qualifications: Job Title: Senior Data Scientist Job Responsibilities: Hands-on developer in building models in complex data environments with unambiguous requirements and enjoys data. Advance causal inference techniques to improve outage predictions measurement, including uplift modeling, propensity scoring, and Bayesian methods. Develop forecasting models to predict outages performance, resource allocation impacts, and long-term customer impacts for operations teams. Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementally testing, to measure efficiency accurately. Optimize operational team decisioning, using reinforcement learning, Bayesian optimization, and econometric modeling. Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Required Qualifications: Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred) Proven experience in Fault Prediction models, with a focus on attribution modeling, causal inference, and model mix optimization. Strong background in machine learning, fault metrics, and statistical modeling RAN applications. Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. Experience with experimental design and incrementality testing in telecom RAN networking subject areas. Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions

The Construction Data Analyst Coordinator plays a critical role in supporting construction projects through data-driven insights, document coordination, and close collaboration with Project Managers and field teams. This position helps prepare and assemble essential documentation for bids, cost tracking, engineering, and construction activities while supporting the company's core values of Safety, Quality, Integrity, and Teamwork. This role is ideal for a detail-oriented coordinator with a strong analytical mindset who enjoys working with data, supporting project teams, and continuously improving processes. The ideal candidate will bring at least two years of coordination experience along with hands-on data analysis skills. This is an in person position at our Milton, WA office. Key Responsibilities & Essential Functions Collect, input, and transform raw data into meaningful reports, tables, charts, and pivot tables Analyze large data sets and present findings in a clear, concise, and actionable manner Coordinate daily activities in support of Project Managers and track key project deadlines Assist with preparing and organizing documentation for bids, costing, engineering, and construction efforts Support Safety, Quality, and operational initiatives through accurate data tracking and reporting Identify trends, discrepancies, and opportunities for process improvement Explore and support implementation of new technologies and data tools Maintain accurate records and navigate shared drives and server directories efficiently Build and maintain positive working relationships with crews, project teams, and internal stakeholders Communicate professionally and effectively via email, phone, and in person Work proactively and independently while contributing to a collaborative team environment Data Analyst Requirements & Qualifications 2+ years of experience as a data analyst, coordinator, or in a related role 2+ years of experience in Construction, Telecommunication or Utilites Strong proficiency in Excel, including pivot tables and data analysis functions Experience using SharePoint and comfort working within shared server environments Familiarity with ChatGPT or similar tools for data support and productivity Strong analytical and problem-solving skills Highly organized with exceptional attention to detail Comfortable learning new systems, tools, and processes and wants to grow with us Construction, utility, or field operations experience is helpful but not required Positive attitude, self-motivated, adaptable, and able to work independently Schedule: Full-time, Monday-Friday; in person at our Milton, WA Office 6:30 a.m. - 3:00 p.m. or 7:00 a.m. - 3:30 p.m. Benefits Cannon Companies offers a full and robust benefits package for employees the first of the month following 60 days of employment. These benefits include Medical, Dental, Vision, 401k, company paid short term and long term disability and life insurance with the opportunity for employees to purchase additional coverage through payroll deductions. Paid Time Off accrued weekly. We are a family company and offer company events throughout the year. About Cannon: Cannon Companies provides copper and fiber inside/outside plant data networks for corporations and government agencies around the world. Cannon is a proven leader in the industry because of our commitment to Safety, Quality, Integrity, and Teamwork. These core values are the foundation for every project and have become the cornerstones that guide our company. Our culture is built on our amazing team and promote from within whenever possible. Our culture is that everyone helps each other to grow so that we all succeed! We work hard and play hard together. Cannon is located at 406 Porter Way, Milton, WA 98354. Please do not call regarding this position. Cannon Companies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Cannon Companies complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer leaves of absence, compensation and training. Upon job offer all Cannon Companies employees complete a drug screen and criminal background check. Cannon Companies is required to participate in the federal government's E-Verify program and confirms employment eligibility upon commencement of employment.

Who We Are

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.

HD Fowler Company is looking for a full-time Junior Data Analyst who's passionate about turning data into actionable insights. You'll work closely with cross-functional teams to collect, clean, and analyze data, helping to drive smarter business decisions. This is a great opportunity for someone early in their data career who wants to grow their technical and analytical skills in a collaborative environment at our Corporate Office in Bellevue, Washington. Key Responsibilities: * Extract, clean, and organize data from various sources using SQL and other tools. * Build and maintain interactive dashboards and reports using Power BI and other reporting tools. * Assist in identifying trends, patterns, and insights that support business goals. * Collaborate with business units to understand reporting needs and deliver clear, accurate analyses. * Support the development and documentation of data processes, ensuring data quality and consistency. * Work with team members to improve database performance and optimize queries. * Stay current with data analytics best practices and emerging tools. Qualifications: Required: * Proficiency in SQL. * Experience using Power BI, Tableau, or equivalent BI visualization tools. * Strong attention to detail and data accuracy. * Basic understanding of relational databases and data modeling concepts. * Solid problem-solving and communication skills. * Bachelor's degree in Data Analytics, Computer Science, Statistics, Business, or a related field (or equivalent practical experience). * Understanding of key performance indicators (KPIs) and data storytelling. Preferred: * Familiarity with Python or R for additional data manipulation. * Experience with cloud-based data systems (e.g., Azure, AWS, or Google Cloud). * Experience with report writing and BI within Acumatica ERP. What We Offer: * Collaborative team environment with mentorship from experienced analysts * Pay Range DOE: $31.25 - $40.87 per hour * In-Office Working Hours Primarily Monday - Friday between 7AM-5PM * 8 Paid Holidays * Competitive Medical, Dental & Vision Benefits * Flex Spending Programs for health and dependent care * $100k Group Life and AD&D Insurance - Premiums paid by the Company! * Generous Paid Time Off Accrual starting at 120 Hours per year (plus 10 hours at 90 days!) * Generous Discretionary Bonuses and Retirement Profit Sharing * Traditional 401(k) & Roth with up to 5% company match * Gym membership reimbursement up to $50 per month Who We Are: HD Fowler is a family-owned company that has been in business for over 100 years and is the single best distributor of water and wastewater solutions in the Northwest. With over 27 branches in six states, we are the premier source for superior products coupled with unparalleled expertise and support. This is your opportunity to be a part of an established company and to thrive in an environment where you are recognized and rewarded. HD Fowler is proud to be an Equal Employment Opportunity (EEO) Employer committed to providing a diverse and inclusive environment free of discrimination and harassment. We respect and embrace the unique backgrounds, talents, and perspectives of all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or any other protected characteristics. We promote a drug & alcohol-free workplace; all job offers are contingent on results of drug screening. No recruiting agencies, please Company Website: ************************

Finance, Planning, and Budgeting (FPB) encompasses the major central financial, planning, analytical, and budgeting functions for the University of Washington, including: Finance & Budget Strategy Institutional Analytics & Decision Support Policy, Planning & State Operations University Business Services The Data Analyst supports the University of Washington's Institutional Analysis and Institutional Reporting teams by ensuring the accuracy, integrity, and efficiency of institutional data analysis and reporting processes. This role will support the automation of reporting by building dashboards and using advanced programming and reporting tools. The analyst also contributes to the documentation of processes and business rules that underpin reporting and analysis projects and will have the opportunity to learn and apply advanced data analysis techniques, including machine learning and econometric modeling. Through collaboration and technical expertise, this position supports data-informed decision-making and continuous improvement across the University's data infrastructure. Duties & Responsibilities Data Analytics and Project Support Support institutional data projects and analytics initiatives that advance reporting accuracy and data-informed decision-making Apply appropriate analytical methods and tools that facilitate trend analysis, forecasting, and performance measurement Apply statistical programming and advanced querying to extract and analyze complex institutional datasets Report and Dashboard Development Design, develop, and maintain reports and dashboards using BI tools such as Tableau, Power BI, and advanced Excel Automate recurring reporting processes to increase efficiency and consistency Create visualizations and analytical summaries that clearly communicate insights to institutional stakeholders Collaboration and Data Accuracy Collaborate with Institutional Analysis, Institutional Reporting, and other campus units to ensure data consistency and accuracy Provide consultative support to departments on data interpretation, governance, and best practices Contribute to the development of policies and procedures that improve data integrity and transparency Strategic Insights and Independent Project Management Provide analytical insights that inform institutional planning, policy development, and resource allocation Manage analytics and reporting tasks independently, exercising judgment in prioritizing and executing complex assignments Communicate technical and analytical information effectively to both technical and non-technical audiences Participate in team initiatives and contribute to a culture of continuous improvement Train and cross train team across the team and organization to ensure organizational sustainability and operational continuity Other duties as assigned Requirement: Bachelor's degree in Management Information Systems, Data Analytics, Computer Science, Social Sciences or a related field, and two years of experience in business intelligence, or related technical roles Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and automation techniques Experience with Business Intelligence (BI) tools such as Tableau and Power BI for reporting and dashboard development Proficiency in SQL or similar data querying languages to extract and manipulate data from institutional databases Experience conducting data validation, quality assurance, and troubleshooting data inconsistencies Basic understanding of data modeling concepts and experience assisting in data model development Experience with statistical programming languages such as R or Python is a plus Strong data visualization and presentation skills to communicate insights effectively Excellent verbal and written communication skills to collaborate with diverse stakeholders and translate technical information for non-technical audiences Ability to manage multiple analytics tasks independently, prioritize work, and meet deadlines Demonstrated experience in working with diverse groups and teams; create a culture of inclusion and equity throughout the team while supporting the overall culture of FPB Desired: Experience supporting enrollment data projects or institutional analytics in higher education Knowledge of data governance and compliance reporting standards Familiarity with automation of reporting processes and scripting for data workflows Ability to work effectively in cross-functional teams and contribute to continuous process improvement Compensation, Benefits and Position Details Pay Range Minimum: $61,080.00 annual Pay Range Maximum: $79,008.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit ****************************************************** Shift: First Shift (United States of America) Temporary or Regular? This is a regular position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: Not Applicable About the UW Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. Our Commitment The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81. To request disability accommodation in the application process, contact the Disability Services Office at ************ or **********. Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.

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.

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. 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 Pay Transparency - North America 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 * 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. Pay is just one part of the overall compensation at EA. 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. 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.

The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learning. This role for our US Operations team will be providing data solutions to E-commerce Operations teams to help solve interesting challenges for our Creator & Merchants. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become 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. 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. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: * Develop metrics and dashboard to measure business performance; * Identify trend and pattern from data and provide attribution of metric movement; * Provide actionable insights to drive the growth of business and improvement of operational efficiency.Minimum Qualifications: * Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc; * To succeed in the role, you need to be a proactive, self-driven and impact driven person; * Be able to work with cross-functional teams in a fast speed environment; * Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: * Proficient in SQL and one of the main data visualization tools such as tableau; * E-commerce or online marketplace experience is strongly preferred. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: **************************************** If you have any questions, please reach out to us at ****************************

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