Data science internship jobs in Redmond, 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.

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

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.

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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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

Apply knowledge of advanced analytic algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drive productivity. Use in-depth knowledge of the data science and AI landscape and hands-on expertise to implement solutions in production environments Shape advanced conceptual thinking to solve complex or novel situations that have never been dealt with before Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses Create and mine datasets in Google BigQuery and other company data sources to support analyses Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions Explore new technologies to enhance the Data and Analytics team's data ecosystem Aid in the development of best practices used in business metrics analysis Support process improvement discussions with stakeholders informed by analytical insights Participate in business partner-facing presentations and meetings as needed Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines Qualifications Bachelor's / Master's degree / Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience. Typically, 3+ years of relevant experience and/or certification in a related field of study or an equivalent combination of education and experience. Experience in data-driven insight development and decision making. In-depth experience using machine learning algorithms. Strong coding skills. Experience with deploying models into production with formal MLOps frameworks. Experience with distributed computing languages (e.g., Hive / Hadoop/ Spark) & cloud technologies (e.g., AWS Sagemaker, AzureML). Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, Perl) and machine learning /deep learning algorithms/packages (e.g., XGBoost, H2O, SparkML, Huggingface). Collaboration & team skills; with a focus on cross-group collaboration Additional Information All your information will be kept confidential according to EEO guidelines.

Mandatory Technical Skills: • Proficient in SAS/R • Proficient knowledge of TSQL • Proficient knowledge SSIS and ETL • Knowledge of SSRS and SSAS • Should be a developer proficient in TSQL, SSIS/ETL along with SAS • Should be proficient in programming (preferably in C#) • Working knowledge of Microsoft products and understanding of pivot tables and charts Desirable Technical Skills: • Good to have - Data exploratory skills including Pareto chart, histogram, summary statistics, percentiles, box and whisker plot, dot plot, pie chart, line graph • Good to have - Basic statistical understanding and usage of measures of centrality, measures of spread, and normal versus extreme values • PDW (Parallel Data Warehouse/ Microsoft Analytics Platform) experience (good to have) • COSMO, Hadoop, big data experience (good to have, but not necessary) Mandatory Functional Skills: • Ability to communicate clearly in writing and verbally • Willingness to work in team and to received directions • Must be able to meet and communicate with internal clients and data scientists • Gather data requirements from Data Scientists, extract data and represent it presentable formats/reports • Participate in meetings between team and client • Be able to deal with ambiguity and changes • Have strong collaboration skill - create a trusted and cooperative environment through open communication of ideas to achieve the team's goal • Have strong communication skill - ability to convey the right information and influence other towards desired action either verbally or by written means Desirable Functional Skills : • It will be a great plus if the candidate have worked with Microsoft in past Total Experience Required: 5+ Additional Information Job Status: permanent Position Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical techniques. You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series etc... Qualifications: PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains Telecom experience desired Distributed computing systems knowledge is a plus

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

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 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.

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.

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.

Will need motion learning knowledge, will need to know at least one SAS or ART language, will need experience building motion learning models and have past experience with forecasting. Required Skills: • 5-6 years of experience required • Experience in writing or building models from motion learning. • Need to know languages SAS/ART. • Need to have data analyst experience. • Analyzing and forecasting experience • SQL programming data analysis skills. • Bachelors, Tech experience • Motion learning knowledge Nice to have Skills: • Knowledge in Marketing • Masters Additional Information All your information will be kept confidential according to EEO guidelines.

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

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.

**The Division of Hematology and Oncology has an outstanding position for a Research Study Data Coordinator in the Thoracic Head and Neck Clinical Trials Research Program.** **About this Opportunity** Reporting to the Research Manager, the Research Study Data Coordinator promotes the research objectives of the Thoracic, Head and Neck Program in the Division of Hematology and Oncology. This position works with the Division of Hematology and Oncology faculty to facilitate pharmaceutical-sponsored and investigator-initiated clinical trials, identify research problems and design hypotheses to be tested. Under the direction of the Research Manager, this position will design and implement multiple research projects to test the hypotheses in human subjects. The Research Study Data Coordinator will work with the research team to collect and abstract clinical data from medical records and research charts, work closely with the physicians and research staff in providing administrative and technical support for research projects, and will maintain financial data entry accuracy. This position must be able to work independently on multiple research projects without benefit of written policies or procedures. This position requires daily interaction with physicians, other health care personnel (e.g. nurses, patient care coordinators, patient service representatives, medical assistants), pharmaceutical company sponsors and any other groups integral to the successful completion of the research project. The mission statement of the University of Washington Medical Center states that the Medical Center serves as a research resource, providing an environment in which clinical research may be conducted. This position is essential to that mission. **DUTIES AND RESPONSIBILITIES** **Data Coordination, Abstraction and Analysis - 75%** + Work with study team members to obtain, abstract, and code complex clinical information from multiple sources (medical records, research records, etc.) for research subjects. Code and record said information into various study-specific data-capture systems (both electronic and paper-based). + Resolve and answer data queries with minimal errors. + With other study team members make judgments about the relevance of the clinical data to the research for complicated oncology research subjects. + Responsible for maintaining computer spreadsheets and databases for research studies. + Understanding research study flow, work with clinic staff support services and research team members to set-up research subject appointments at required intervals. + With study team, draft scheduling request orders to meet study protocol needs. + Develop study-specific or program data acquisition forms in conjunction with study staff. + Work professionally with sponsor representatives to review and correct data recorded in the case report forms. Resolve queries in conjunction with research coordinators. + Request medical records from outside medical facilities. + Assist Investigators and study team with preparation and analysis of study data for publication and grant preparation. + Completion of CTMS data entry to comply with patient research visits. + Assist financial team with QA of patient visits/procedures completed. **Research Specimen Tracking and Coordination - 15%** + Maintain and track laboratory sample supplies, complete requisition forms, and assemble kits for upcoming research subject visits for assigned clinical trials with minimal supervision. + Track and process research subject blood, urine, and tissue samples following study specific guidelines for storage and/or shipping with minimal supervision. **Protocol Coordination - 5%** + Collate and maintain clinical information from multiple sources into research charts, study binders, etc. + Track and maintain research subject schedules based on complex protocol-specific requirements. + Assist with retrieval and return of oral investigational agents to IDS pharmacy. **Patient Contact - 5%** + Interact with patients at study visits to collect data. + Perform related tasks as assigned. **MINIMUM REQUIREMENTS** + A Bachelor's degree in a relevant academic area AND two years of experience coordinating the operations of clinical, biomedical, or behavioral research studies involving human subject. _Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration._ **DESIRED QUALIFICATIONS** + Demonstrated understanding of medical terminology + Strong computer skills and experience with data entry and databases + Strong attention to detail and ability to organize work + Ability to communicate effectively both verbally and in writing, and to work effectively with colleagues, research subjects, and study sponsor representatives + Demonstrated ability to work independently and to carry out complex tasks + Applicants selected for this position who have not already completed the training for clinical research involving human subjects will be required to complete it within 90 days of hire + Knowledge of oncology practice and terminology + Prior working experience at the UWMC or FHCC + Competency in MS Office software + Knowledge of HIPAA regulations + Knowledge of GCP (Good Clinical Practice) \#UWDeptMedicineJobs **Compensation, Benefits and Position Details** **Pay Range Minimum:** $47,448.00 annual **Pay Range Maximum:** $63,468.00 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:** SEIU Local 925 Nonsupervisory **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 (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

Days Off: Saturday, Sunday Shift: Office Day Insurance Benefits: Dental, Life, Long-term Disability, Medical Other Benefits: Employee Assistance Program (EAP), Flexible Spending Account (FSA), ORCA card subsidy, Paid Time Off (34 days per year), Retirement Plan About DESC: DESC (Downtown Emergency Service Center) is a nonprofit organization working to help people with the complex needs of homelessness, substance use disorders, and serious mental illness achieve their highest potential for health and well-being through comprehensive services, treatment, and housing. Our vision is a community where no person is abandoned, ignored, or experiencing homelessness. As the region's leading provider of services to multiply disabled adults who have experienced chronic homelessness, DESC serves almost 3,000 people each day. Our integrated service model is designed to help people secure and maintain appropriate, safe and affordable housing. DESC is recognized nationally and regionally as an innovator in developing solutions to homelessness. JOB DEFINITION: The Foundational Community Supports (FCS) Data Analyst is a member of a multi-disciplinary team that will support DESC's mission by using data queries, creating reports, and providing administrative services for programs leveraging the 1115 Waiver. Considerable attention and skills are needed in the areas of data analytics, presentation, and problem solving. The FCS Data Analyst will work closely with the Senior Manager of Policy and Program Analytics to ensure programs leveraging Medicaid Waiver dollars are complying with all applicable laws, regulations and contract requirements. MAJOR DUTIES AND RESPONSIBILITIES: Use data sources to perform validation and quality control checks to track performance and compliance in identified areas. Assist with the collection of data and analysis requested by FCS third party administrator, Wellpoint. Use SQL to access data and write reports to query information from databases. Assist staff with client enrollment and communication of benefit status information. Identify and create process improvements and workflow automation to increase program performance. Collaborate with the Housing and Quality and Information Management Departments and other DESC partners to scope, design, and validate recurring and ad hoc reports. Document project details and maintain report specifications that clearly describe how the report works, and work with end-users to ensure usage and usability. Serves as a subject matter expert for department managers on documentation standards that comply with regulatory requirements. Research, audit, and investigate proper payment of claims. Assist in various quality assurance activities, including but not limited to fidelity audits. Serve as a liaison between Wellpoint, King County, HCA, and DESC on all administrative matters. Comply with all agency policies and procedures, relevant Washington Administrative Code, RCWs, and HIPAA Privacy Rules. Attend and participate in relevant team meetings, agency sponsored trainings and all-staff meetings. Other duties as assigned. Requirements MINIMUM QUALIFICATIONS: Bachelor's or associate degree, or 2 years of highly relevant paid work experience 2 years' experience in data analytics and financial accounting Strong computer skills, including using word processors, analyzing Excel spreadsheets, and writing SQL queries. Strong oral and written communication skills and ability to work effectively with staff from various backgrounds and disciplines. Ability to organize and coordinate work efficiently; prioritize workload, work under pressure with tight timelines and changing priorities. Ability to work independently with minimum supervision, and act on own initiative, within agency procedural guidelines. Initiative and creativity in problem solving and system development. A willingness to be flexible and work cooperatively with co-workers to accomplish all responsibilities of the team. Subscribe to philosophy of cooperation and continuity across programs, and of consideration and respect for clients. Experience handling confidential and proprietary information, including healthcare information PREFERRED QUALIFICATIONS: Experience working in social services with people experiencing homelessness, mental health conditions, and/or substance use disorders Bachelor's degree in computer science, accounting, data analytics, healthcare management, analytical science, engineering, or related field or equivalent experience: advanced degree a plus. 4 years highly relevant paid work experience. Experience working in administration/coordination in a human services, housing or health care setting. Experience with a formal programming language, such as Python, or R, PHP PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee will be required sit for long periods of time, communicate with other employees by talking and hearing, and to operate computer systems. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. EQUAL OPPORTUNITY EMPLOYER: DESC is committed to diversity in the workplace, and promotes equal employment opportunities for all staff members and applicants. The Agency will not discriminate against any employee or applicant for employment on the basis of race, creed, color, sex, gender, sexual orientation, age, national origin, caste, marital status, or the presence of any sensory, mental or physical disability in any employment practice, unless based on a bona fide occupational qualification. Minorities and veterans are encouraged to apply. Salary Description $86,680.32 - $98,070.72

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