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  • GenAI Engineer-Data Scientist

    Capgemini 4.5company rating

    Data science internship job in Seattle, WA

    Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you're considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. Develop generative and predictive AI models (including NLP, computer vision, etc.). Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Deploy AI models into production environments, ensuring scalability, performance, and optimization. Monitor and troubleshoot deployed models and pipelines for optimal performance. Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience. Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca Life and disability insurance Employee assistance pro Other benefits as provided by local policy and eligib
    $96k-127k yearly est. 2d ago
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  • Data Scientist Intern (TikTok Shop User Product DS) - 2026 Summer (BS/MS)

    Tiktok 4.4company rating

    Data science internship job in Seattle, WA

    TikTok's Global E‑commerce Data Science team powers TikTok Shop by building analytical frameworks and product metrics to drive growth, improve operational efficiency, and optimize the buyer, seller, and creator experiences across regions. They identify trends, user or merchant behavior patterns, and opportunities for business optimization through exploratory analysis and proactive insights generation. The team designs and interprets A/B tests and causal experiments to inform product improvements for user growth, transaction funnels, and feature adoption. They also develop dashboards and data pipelines that enable cross‑functional teams-Product, Operations, and Engineering-to monitor product performance and implement data-driven changes easily. TikTok sets a culture focused on statistical rigor, ownership, and scalable machine learning methods in e-commerce decision-making at global scale. 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: * Analyze product usage and engagement data (e.g., retention, conversion, feature adoption) to identify trends and actionable insights; * Support design and evaluation of A/B tests or feature experiments; compute lift, assess statistical significance, and help interpret outcomes; * Conduct exploratory data analysis using SQL and Python to detect patterns, anomalies, or feature-driven behaviors; * Create dashboards, visualizations, and summary reports to communicate findings to product, engineering, and design teams; * Collaborate cross-functionally with product managers and engineers to implement metrics and iterate on insights; document analysis and methodologies.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; * Practical experience with data querying and scripting languages (e.g. SQL, Python, R) and basic statistical/data analysis tools; * Familiar with statistical modeling, A/B testing, or experiment design concepts, drawn from coursework, projects, or internships; * Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: * Familiarity with machine learning frameworks or predictive modeling; * Prior internship or project experience in product analytics, A/B testing, or data science roles; * Strong communication, collaboration, and storytelling skills - able to translate technical findings into product recommendations. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************
    $82k-137k yearly est. 60d+ ago
  • Data Science PhD Intern

    Docugami 3.9company rating

    Data science internship job in Kirkland, WA

    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.
    $75k-135k yearly est. Auto-Apply 60d+ ago
  • Data Science Intern

    Talus Bio

    Data science internship job in Seattle, WA

    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
    $51k-95k yearly est. 29d ago
  • Food Science Intern

    Nutpods

    Data science internship job in Bellevue, WA

    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.
    $20-30 hourly Auto-Apply 60d+ ago
  • Construction Management Data Analyst

    DPR Construction 4.8company rating

    Data science internship job in Seattle, WA

    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 ********************
    $130.4k-223.6k yearly Auto-Apply 43d ago
  • Data Scientist

    Cisco 4.8company rating

    Data science internship job in Seattle, WA

    The application window is expected to close on: **Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received** . The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. **Meet the Team** The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. **Your Impact** As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. + Design, develop, and program processes and systems for consolidating and analyzing diverse "big data" sources to generate actionable insights. + Collaborate with product and service teams to identify analytical questions and conduct experiments. + Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. + Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. + Support the deployment of data science models into production and contribute to ongoing feature development and optimization. **Minimum Qualifications** + Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. + 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). + Proficiency in at least one programming language such as Python or R. + Experience with data cleansing, integration, and statistical analysis techniques. + Ability to communicate technical findings clearly to both technical and non-technical stakeholders. **Preferred Qualifications** + Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). + Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). + Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. + Proven ability to develop strong data visualizations and present complex data insights effectively. + Experience contributing to patent applications, publications, or research projects. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
    $155.9k-246.2k yearly 3d ago
  • Fundraising Data Analyst

    Food Lifeline 4.0company rating

    Data science internship job in Seattle, WA

    Who We Are Food Lifeline is a Seattle-based nonprofit working to feed people experiencing hunger today while ending hunger for tomorrow. We supply nutritious food to more than 300 food pantries, shelters, and meal programs across Western Washington. Through fundraising, advocacy, policy, and community partnerships, we take a sustainable, equity-centered approach to ending hunger in our region. What We're Looking For We are currently hiring a full-time Fundraising Data Analyst to join our Development team. As a Fundraising Data Analyst, you will play a critical role in supporting Food Lifeline's fundraising efforts through data-driven insights. You'll analyze donor behavior, campaign performance, and fundraising trends to help strengthen donor relationships, improve strategy, and grow philanthropic impact. You will design and maintain dashboards and reports, ensure fundraising data integrity, and translate complex data into clear, actionable insights for fundraisers and leadership. This role partners closely with Development, Finance, and other teams to support informed decision-making and advance our mission. This position is ideal for someone who enjoys working with data, improving systems, and using analytical skills to support nonprofit fundraising and social impact. Compensation & Benefits Salary Range: $75,000-$100,000 annually Food Lifeline is committed to fair, transparent, and equitable compensation practices that support our mission to address hunger and its root causes. This position is assigned to a four-step salary range. Most new hires are typically placed in Step 1 of the range, which reflects the entry point for the role. Placement within the range is based on job-related factors such as relevant skills, experience, education, and internal equity, as evaluated during the hiring process. Movement through the salary range may occur over time and is guided by performance, role development, and organizational compensation practices. Full benefits package includes: Employer- paid medical coverage for employees and children Dental and vision insurance Employer-paid basic life, long- and short-term disability Employer match for 403(b) retirement plans Generous paid time off, including parental leave and sabbatical leave after 5 years of service Position Details Full-time, hybrid role requiring three days per week in the office Candidates must be willing and able to live and work in the Seattle area Ready to Join Food Lifeline? Apply now to help turn fundraising data into meaningful impact. To join our team as a Fundraising Data Analyst, please review the full job description and apply electronically. Complete applications must include a resume and cover letter. This posting will remain open until filled. We encourage applications from candidates who can contribute to our people centered organization and who have lived experience with hunger and inequity. Food Lifeline is proud to be an equal opportunity employer and is committed to fostering a workplace that reflects our equity centered values. We do not discriminate based on race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, disability, veteran status, or any other characteristic protected by law.
    $75k-100k yearly 11d ago
  • Lead Data Scientist, Ad Platforms

    The Walt Disney Company 4.6company rating

    Data science internship job in Seattle, WA

    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. **Job ID:** 10137363 **Location:** Seattle,Washington **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
    $163.1k-218.7k yearly 32d ago
  • Data Analyst

    Droisys 4.3company rating

    Data science internship job in Redmond, WA

    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.
    $86k-112k yearly est. 60d+ ago
  • Junior Data Analyst

    H.D. Fowler 3.8company rating

    Data science internship job in Bellevue, WA

    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. Seattle Metro area applicants only. 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: ************************
    $31.3-40.9 hourly 6d ago
  • Enterprise Data Analyst III

    F5 Networks 4.6company rating

    Data science internship job in Seattle, WA

    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.
    $100k-150k yearly Auto-Apply 7d ago
  • Staff Data Scientist, Marketing Science

    Pinterest 4.6company rating

    Data science internship job in Seattle, WA

    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.
    $193.8k-339.1k yearly Auto-Apply 39d ago
  • Data Analyst

    University of Washington 4.4company rating

    Data science internship job in Seattle, WA

    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.
    $61.1k-79k yearly 4d ago
  • Junior Data Analyst

    Our Community Credit Union 3.9company rating

    Data science internship job in Shelton, WA

    Job Description Junior Data Analyst Join OURCU: Turning Data Into Insight That Makes a Difference At OURCU, data isn't just numbers- it's how we better serve our members, support our teams, and strengthen our communities. We're looking for a Junior Data Analyst to join our on-site Data Team and help ensure our reporting, dashboards, and data flows are accurate, reliable, and meaningful. This is a full-time, on-site role bases in Shelton, WA. Our Data Team thrives on collaboration, hands-on problem-solving, and learning together, so we're looking for candidates who are local and ready to be part of the crew. If you're early in your data career, detail-oriented, curious, and excited to grow your technical and business knowledge in a supportive, collaborative environment, this could be a great next step! What You'll Do As a Junior Data Analyst, you'll support the daily operation, integrity, and evolution of OURCU's reporting data. Working closely with the Data Team, you'll help ensure data is accurate, accessible, and aligned with business needs. In this role, you will: Maintain, create, and update daily, weekly, and monthly reports and dashboards Support month-end and routine reporting processes with accuracy and timeliness Clean, validate, and troubleshoot data to ensure integrity and consistency Identify inconsistencies in data or reporting and resolve or escalate appropriately Document data sources, data feeds, report logic, and processes Respond to ad hoc data requests and manage reporting-related tickets Learn and apply best practices for data governance, security, and quality Partner with teams across the organization to support OURCU's growing data culture Participate in ongoing learning and cross-training across departments You'll Be Most Successful If You... Are detail-oriented and care deeply about data quality and accuracy Enjoy problem-solving and thinking critically Are comfortable asking questions and collaborating with others Can balance independence with knowing when to ask for help Have strong time-management skills and can prioritize multiple requests Are personable, communicative, and enjoy working as part of a team Are motivated, eager to learn, and open to new ideas and perspectives Value confidentiality and take data security seriously Required Qualifications 6 months to 3 years of experience in a data, analytics, or reporting-related role Bachelor's degree in Computer Science, Programming, Analytics, or related field (or equivalent hands-on experience) Experience with data wrangling and data validation Working knowledge of SQL Understanding of data security and confidentiality best practices Ability to read and interpret charts, graphs, and dashboards Nice-to-Have Skills Analytics certifications (Google, Tableau, BI, etc.) Experience with: Tableau & Tableau Prep Python, Postgres, GitHub, Airflow Background in healthcare, credit unions, or financial institutions Exposure to statistics or applied mathematics Why Join OURCU? At OURCU, people truly come first- our members and our employees. You'll be part of a collaborative, supportive team that values curiosity, open communication, and continuous learning. We believe in investing in our people and giving them the tools, benefits, and opportunities they need to grow and thrive. When you join OURCU, you can expect: Target starting pay: $28.54 to $33.00/hour, depending on experience. (The greater wage band reflects the full potential of the role as skills and responsibilities grow.) Comprehensive health coverage, including medical, dental, and vision insurance Employer-paid life insurance and long-term disability coverage A variety of voluntary insurance options and a Flexible Spending Account A 401(k) plan with generous OURCU contributions Paid Time Off, including vacation, sick leave, and 12 paid holidays each year Professional development and tuition assistance to support your growth Extra perks like: Free Employee Assistance Program (EAP) Gym reimbursement Discounted VISA rates and enhanced checking accounts Employee-led engagement committees and community involvement opportunities Beyond the benefits, you'll gain hands-on experience, build meaningful business knowledge, and play a key role in strengthening OURCU's data culture, all while working for a mission-driven, community-focused organization. Ready to Make a Difference? If you're excited to build your data skills, contribute to meaningful work, and grow with a credit union that values accuracy, collaboration, and community, we'd love to hear from you. This is a 100% on-site, in-person role, and we're looking for someone who is local and excited to work closely with our team every day. Candidates must be legally authorized to work in the United States without current or future sponsorship. OURCU - Serving members with heart, integrity, and local pride! OURCU is an Equal Opportunity Employer. If you require accommodations during the application process, please contact **************** or call us at **************. As part of our employment process we require a criminal background check and credit check. Job Posted by ApplicantPro
    $28.5-33 hourly 10d ago
  • Data Analyst Internship

    Centific Global Solutions

    Data science internship job in Redmond, WA

    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.
    $34k-57k yearly est. Auto-Apply 60d+ ago
  • Data Scientist

    Cisco Systems, Inc. 4.8company rating

    Data science internship job in Seattle, WA

    The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. Your Impact As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. * Design, develop, and program processes and systems for consolidating and analyzing diverse "big data" sources to generate actionable insights. * Collaborate with product and service teams to identify analytical questions and conduct experiments. * Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. * Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. * Support the deployment of data science models into production and contribute to ongoing feature development and optimization. Minimum Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. * 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). * Proficiency in at least one programming language such as Python or R. * Experience with data cleansing, integration, and statistical analysis techniques. * Ability to communicate technical findings clearly to both technical and non-technical stakeholders. Preferred Qualifications * Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). * Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). * Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. * Proven ability to develop strong data visualizations and present complex data insights effectively. * Experience contributing to patent applications, publications, or research projects. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
    $155.9k-246.2k yearly 3d ago
  • Data Scientist II - Marketing Science

    Walt Disney Co 4.6company rating

    Data science internship job in Seattle, WA

    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
    $123k-165k yearly 6d ago
  • Fundraising Data Analyst

    Food Lifeline 4.0company rating

    Data science internship job in Seattle, WA

    Who We Are
    $45k-56k yearly est. Auto-Apply 11d ago
  • Junior Data Analyst

    Our Community Credit Union 3.9company rating

    Data science internship job in Shelton, WA

    Join OURCU: Turning Data Into Insight That Makes a Difference At OURCU, data isn't just numbers- it's how we better serve our members, support our teams, and strengthen our communities. We're looking for a Junior Data Analyst to join our on-site Data Team and help ensure our reporting, dashboards, and data flows are accurate, reliable, and meaningful. This is a full-time, on-site role bases in Shelton, WA. Our Data Team thrives on collaboration, hands-on problem-solving, and learning together, so we're looking for candidates who are local and ready to be part of the crew. If you're early in your data career, detail-oriented, curious, and excited to grow your technical and business knowledge in a supportive, collaborative environment, this could be a great next step! What You'll Do As a Junior Data Analyst, you'll support the daily operation, integrity, and evolution of OURCU's reporting data. Working closely with the Data Team, you'll help ensure data is accurate, accessible, and aligned with business needs. In this role, you will: Maintain, create, and update daily, weekly, and monthly reports and dashboards Support month-end and routine reporting processes with accuracy and timeliness Clean, validate, and troubleshoot data to ensure integrity and consistency Identify inconsistencies in data or reporting and resolve or escalate appropriately Document data sources, data feeds, report logic, and processes Respond to ad hoc data requests and manage reporting-related tickets Learn and apply best practices for data governance, security, and quality Partner with teams across the organization to support OURCU's growing data culture Participate in ongoing learning and cross-training across departments You'll Be Most Successful If You... Are detail-oriented and care deeply about data quality and accuracy Enjoy problem-solving and thinking critically Are comfortable asking questions and collaborating with others Can balance independence with knowing when to ask for help Have strong time-management skills and can prioritize multiple requests Are personable, communicative, and enjoy working as part of a team Are motivated, eager to learn, and open to new ideas and perspectives Value confidentiality and take data security seriously Required Qualifications 6 months to 3 years of experience in a data, analytics, or reporting-related role Bachelor's degree in Computer Science, Programming, Analytics, or related field (or equivalent hands-on experience) Experience with data wrangling and data validation Working knowledge of SQL Understanding of data security and confidentiality best practices Ability to read and interpret charts, graphs, and dashboards Nice-to-Have Skills Analytics certifications (Google, Tableau, BI, etc.) Experience with: Tableau & Tableau Prep Python, Postgres, GitHub, Airflow Background in healthcare, credit unions, or financial institutions Exposure to statistics or applied mathematics Why Join OURCU? At OURCU, people truly come first- our members and our employees. You'll be part of a collaborative, supportive team that values curiosity, open communication, and continuous learning. We believe in investing in our people and giving them the tools, benefits, and opportunities they need to grow and thrive. When you join OURCU, you can expect: Target starting pay: $28.54 to $33.00/hour, depending on experience. (The greater wage band reflects the full potential of the role as skills and responsibilities grow.) Comprehensive health coverage, including medical, dental, and vision insurance Employer-paid life insurance and long-term disability coverage A variety of voluntary insurance options and a Flexible Spending Account A 401(k) plan with generous OURCU contributions Paid Time Off, including vacation, sick leave, and 12 paid holidays each year Professional development and tuition assistance to support your growth Extra perks like: Free Employee Assistance Program (EAP) Gym reimbursement Discounted VISA rates and enhanced checking accounts Employee-led engagement committees and community involvement opportunities Beyond the benefits, you'll gain hands-on experience, build meaningful business knowledge, and play a key role in strengthening OURCU's data culture, all while working for a mission-driven, community-focused organization. Ready to Make a Difference? If you're excited to build your data skills, contribute to meaningful work, and grow with a credit union that values accuracy, collaboration, and community, we'd love to hear from you. This is a 100% on-site, in-person role, and we're looking for someone who is local and excited to work closely with our team every day. Candidates must be legally authorized to work in the United States without current or future sponsorship. OURCU - Serving members with heart, integrity, and local pride! OURCU is an Equal Opportunity Employer. If you require accommodations during the application process, please contact **************** or call us at **************. As part of our employment process we require a criminal background check and credit check.
    $28.5-33 hourly 6d ago

Learn more about data science internship jobs

How much does a data science internship earn in Tacoma, WA?

The average data science internship in Tacoma, WA earns between $38,000 and $126,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average data science internship salary in Tacoma, WA

$69,000
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