Data Science Internship Jobs in Bothell, WA

The Data Analyst will be responsible for analyzing complex data sets designing and developing visualizations and providing insights to stakeholders The ideal candidate will have experience with Python SQL and other data tools They will also have a strong understanding of data analysis and visualization principles Responsibilities Analyze complex data sets and provide insights to stakeholders Design and develop visualizations using Power BI and other data tools Develop and maintain reports and dashboards Validating the data and implementing quality checks to ensure the accuracy and reliability of the data presented in the dashboards and reports Work closely with various stakeholders bridging the gap between a businesss technical and nontechnical sides Stay updated with the latest features updates and best practices to leverage them effectively Implementing appropriate access controls and data protection measures Requirements Bachelors degree in Computer Science Information Systems or related field 6 years of experience in data analysis and visualization Proficiency in Power BI and other data tools Experience with SQL DAX and other data languages Strong understanding of data analysis and visualization principles Excellent communication and problemsolving skills Good teamwork skills and be able to collaborate effectively with others Proficient in SQL DataWarehousing concepts drawing Entity relationships ability to read a flat file and provide insights Skills Mandatory Skills : Azure Data Factory, Dimensional Data Modeling, Kusto Database Provisioning, MS SQL Server, PowerBI, Python Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

The Strella Mission More than 40% of all fresh produce is wasted in the US, which accounts for over 17 billion dollars in lost product annually and contributes more carbon dioxide emissions than all of US transportation combined. Globally, food that is never consumed accounts for 7% of the global freshwater supply and 308MM hectares of land. Our goal is to reduce these drastic numbers by making the produce supply chain smarter through data-driven decisions. Strella uses proprietary sensors to predict shelf life in the food supply chain. We use this information to reduce food waste and help deliver better quality produce to consumers. We have been commercialized for 5 years and are currently in our growth stage. Role We are looking for an ambitious data scientist with 3+ years of experience to help us build the next generation of our modeling and prediction engine. The applicant must have a strong focus on delivering action-based results that can help customers make better decisions using data. Experience in agriculture is a plus. As a startup, we seek applicants who are self-starters and can wear multiple hats. We are in a rapid growth stage and are looking for people who thrive in a fast-paced environment while maintaining quality. This is an in-person role in either our Seattle or Wenatchee WA office. Responsibilities Partner with developers, product managers, and business partners to frame problems mathematically and in the right business context Perform exploratory data analysis to gain a deeper understanding of the problem Construct and fit statistical, machine learning, or optimization models Implement advanced analytics techniques to identify key factors impacting the quality and shelf life of fruits Develop predictive models and machine-learning algorithms to predict the shelf life of different types of fruits Design experimentation strategies for evaluating our models Collaborate with developers to implement algorithms in production Analyze experimental and observational data; communicate findings; facilitate launch decisions Skills Bachelors, M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Optimization, Computer Science, or other quantitative fields or related work experience 3+ years of professional experience, startup experience required Proficiency in causal inference, experimentation, signal processing, and/or machine learning Proficiency with Python and working in a production coding environment Passion for solving unstructured and non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem Benefits 401k matching Health & Dental Unlimited PTO

Data Trainee About the Program: People Tech Technology is pleased to offer a comprehensive Data Training Program designed for individuals looking to start a career in data science and analytics. This program aims to equip participants with the essential skills and knowledge required to become proficient data professionals. Key Responsibilities: Training Participation: Attend and actively engage in all training sessions, workshops, and assignments. Learning and Development: Utilize training materials, complete exercises, and participate in discussions to deepen understanding of data science and analytics concepts. Project Work: Apply learned skills by working on real-world projects and assignments with guidance from experienced mentors. Data Analysis: Conduct data cleaning, analysis, and visualization using various tools and techniques. Collaboration: Work collaboratively with peers and mentors to foster a productive learning environment. Feedback and Improvement: Provide and receive constructive feedback to and from peers and mentors to continually improve skills and program experience. What You Will Learn: Data Fundamentals: Understanding data types, data collection, and data cleaning techniques. Statistics and Probability: Basic concepts of statistics and probability used in data analysis. Programming for Data Science: Using programming languages such as Python or R for data manipulation and analysis. Data Visualization: Creating visualizations using tools like Matplotlib, Seaborn, or Tableau. Machine Learning: Introduction to machine learning concepts, algorithms, and model evaluation. Big Data Technologies: Understanding big data frameworks like Hadoop and Spark. SQL and Databases: Writing SQL queries and understanding database management. Data Storytelling: Communicating insights effectively through data storytelling and presentation. Qualifications: Education: Masters in Computer Science, Statistics, Mathematics, Engineering, or a related field (or currently pursuing one). Basic Programming Knowledge: Familiarity with basic programming concepts, preferably in any programming language. Passion for Data: Demonstrated interest in data science and analytics. Analytical Skills: Strong analytical and problem-solving skills. Communication Skills: Strong verbal and written communication skills. Preferred Skills (Not Mandatory): Prior Experience with Data: Any prior experience with data analysis or related fields is a plus. Knowledge of Statistics: Basic understanding of statistical concepts and methods. Benefits: Hands-on Training: Gain practical experience through real-world projects. Mentorship: Receive guidance and support from experienced data professionals. Career Opportunities: Potential for full-time employment opportunities upon successful completion of the program. Networking: Connect with industry professionals and like-minded peers.

We are seeking a Planning Data Analyst to join a growing beverage manufacturing company. This is an excellent short-term opportunity that will allow you to gain experience within a dynamic logistics team through inventory analysis, report building, and turning data into actionable insights. Duration: 12 weeks Pay Rate: $28- $37 per hour Location: Hybrid- 3 days a week in office in Preston, WA Job Duties: Build new reports for Planning and other SCO departments as directed Conduct adhoc reporting and analysis work as is requested Support management and maintenance of metrics and KPIs as directed Support and drive any necessary inventory tracing exercises Manage weekly reporting efforts for distressed finished good & WIP, inventory projections & valuation, and other topics as deemed necessary Generate monthly raw material forecasts, review for callouts and trends, and provide analysis of data Support cross functional projects with reporting and analysis Ensure food safety, quality, and SQF practices are followed at all times, advising your immediate manager of any food safety and/or quality issues. Complete other responsibilities as assigned. To be a fit for this role: Bachelor's degree field preferred; equivalent experience accepted. Minimum of three (3) years of report building and data analysis experience. Has worked in and with WMS and ERP systems, specifically Microsoft Dynamics 365 Finance & Operations. Power BI and SQL experience. Proven Excel skills, and proficiency with the rest of the Microsoft Office suite.

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. This particular position is for a economist in the Forecasting, Macroeconomics, and Finance (FMF) track to help us develop and deploy forecasting models and carry out analyses that support critical processes at AWS Knowledge of time-series econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. Roughly 85% of previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at **************************. A day in the life AWS Central Economics and Science takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It's about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don't encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn't a successful long run strategy. Because we invest in the long run success of our group it's important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the team FACE is the Forecasting team in AWS Central Economics and Science. We provide AWS leadership, Finance, and Planning teams with science-based forecasts and analysis to optimize financial and operational planning at various levels of granularity. Our models implement frontier science at the intersection of economics, statistics and machine learning. The output of our models and analyses supports critical processes at AWS such as Operational Planning and Quarterly Guidance. We are a close-knit, highly collaborative, and interdisciplinary team of scientists who are experts in their respective fields. BASIC QUALIFICATIONS PhD student in Economics (enrolled in 3rd year or more and not currently on the job market) PREFERRED QUALIFICATIONS * Experience with SQL * Familiarity with UNIX * Experience working with large data sets * Knowledge of econometrics * Familiarity with Python * Attention to detail Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.91/hr in our lowest geographic market up to $96.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead. Data Scientist Interns at Microsoft use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms, and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios. At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site. Formulate approaches to solve problems using well defined algorithms and data sources. Incorporate an understanding of product functionality and customer perspective to provide context for those problems. Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. Required Qualifications: Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. Must have at least one additional quarter/semester of school remaining following the completion of the internship. Preferred Qualifications: Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS. Some experience and or project course work with product and service telemetry systems. Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal. Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Microsoft accepts applications and processes offers for these roles on an ongoing basis. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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.

Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential-and excitement for the journey ahead. Data Scientist Interns at Microsoft use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms, and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios. At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You'll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site. Required Qualifications: * Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. * Must have at least one additional quarter/semester of school remaining following the completion of the internship. Preferred Qualifications: * Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. * Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. * Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS. * Some experience and or project course work with product and service telemetry systems. * Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal. * Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Microsoft accepts applications and processes offers for these roles on an ongoing basis. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. * Formulate approaches to solve problems using well defined algorithms and data sources. * Incorporate an understanding of product functionality and customer perspective to provide context for those problems. * Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. * Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. * Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. * Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

We are SGS - the world's leading testing, inspection and certification company. We are recognized as the global benchmark for quality and integrity. Our 98,000 employees operate a network of 2,650 offices and laboratories, working together to enable a better, safer and more interconnected world. The Senior Data Analyst serves as a digital workstream lead, supporting complex client engagements by developing and implementing data-driven solutions that guide business decisions and digital transformation. This role requires a deep understanding of analytics, data visualization, and consultative problem-solving to deliver high-impact dashboards, reports, and insights for clients. The Senior Data Analyst will independently develop hypotheses, validate results, and establish clear business cases, partnering closely with engagement teams to translate data into strategic initiatives. With strong technical and communication skills, this role is integral to developing client roadmaps for digital transformation and achieving sustainable business value. This position is 90-100% travel as we have clients all over America. If you are interested in this position, you have to be able to travel from Sunday to Thursday/Friday every week. KEY ACCOUNTABILITIES Serve as a primary data consultant, supporting complex client engagements by leading digital workstreams and delivering customized solutions that drive business transformation. Design and implement advanced dashboards and visual storytelling tools using Power BI, Tableau, and similar platforms to clearly communicate insights and support strategic decision-making. Develop and validate data hypotheses, establish a business case for initiatives, and translate analytical findings into actionable recommendations for senior leadership. Collaborate with clients to define and implement a digital roadmap, aligning data solutions with long-term business objectives and transformation goals. Execute project tasks independently with limited oversight, managing timelines and deliverables while ensuring high-quality outcomes. Partner with internal and client teams, including knowledge management and business identification groups, to develop data repositories and reusable data assets that enhance solution delivery. Develop procedural documentation, user guides, and training materials to enable effective client onboarding and knowledge transfer for long-term adoption and utilization of data solutions. Qualifications Bachelor's or Master's degree in Business, Finance, Economics, Mathematics, Computer Science, or related fields. Minimum of 3 years of experience in data analytics and digital transformation, preferably within a consulting environment. Proven expertise in building and deploying advanced data visualization and storytelling solutions using tools like Power BI, Tableau, or similar platforms. Proficiency in programming and coding languages such as Python, R, SQL, or equivalent to support advanced data analysis and automation. Strong consultative experience working with cross-functional teams to diagnose problems, build digital strategies, and deliver impactful solutions for senior leadership. SKILLS/ABILITIES Advanced data visualization and dashboard design skills using Power BI and other BI platforms to create compelling visual narratives. Strong programming and coding experience for data preparation, analysis, and automation using languages like Python, R, and SQL. Excellent problem-solving skills with the ability to translate complex data into clear, actionable insights that align with business objectives. Ability to work independently and manage multiple projects with limited supervision, maintaining a high level of quality and attention to detail. Strong communication skills with the ability to convey technical findings to both technical and non-technical audiences, including C-level executives. Consultative mindset with experience in driving digital transformation and data adoption within diverse business environments. OTHER COMMENTS/REQUIREMENTS • Candidate may be located anywhere in the United States with the ability to travel as needed (up to 100%). • Some international travel may be required based on project needs. • Must be an American Citizen. Additional Information SGS is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, sexual orientation, gender identity or expression, genetics, status as a protected veteran, or any other characteristics protected by law. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skills, and/or abilities required. This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts the company's rights to assign or reassign duties and responsibilities to this job at any time. If you are applying for a position within the United States and you have difficulty completing the on-line employment application because of a disability, please call ************ for assistance and leave a message. You will receive a callback. Please note, this phone number is not for general employment information but is only for individuals who are experiencing difficulty applying for a position due to a disability. #IND

Job TitleIntern - Consumer Care Experience Data Analyst - Bothell, WA - Summer 2025Job Description Intern - Data Analyst - Bothell, WA - Summer 2025 Are you interested in an internship opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in a 3 month paid intern opportunities at our site in Bothell, WA. Through this role you will gain meaningful, hands-on experience working for a HealthTech company. Your role: As a Data Analyst Intern working with our Product Research Center and Consumer Care Experience, you will contribute to continuously pioneering new breakthroughs in home oral care technology with our team embedded in the Oral Healthcare business. We advocate for our customers across the entire ecosystem of products, services, and digital experiences. Your role: Utilize quantitative and qualitative consumer experience insights, to identify consumer pain points and drive evidence-based services ideation and prototype creation. You will be responsible for producing and interpreting end to end service blueprint visualizations, journey and system maps, and conduct consumer feedback analytics to generate insights to communicate across the organization and deliver improvements that ensure superior consumer satisfaction with our products and services. You will be working with a team of consumer experience managers and content specialists responsible for the end-to-end post purchase customer experience and in market feedback loop into the product lifecycle. The Consumer Content and Experience team interfaces broadly across Marketing, Research and Development, Regional teams and central enabling functions to bring lifetime value to our users. In this role you will interface directly with stakeholders with expertise in a wide range of disciplines working in product development and user experience. You're the right fit if: Working towards a degree in any of the following, including adjacent degrees: User Experience Research, Design, and/or Strategy, Sociology, Psychology, Behavioral Science, Social Science, Marketing, Business, Service and/or Product Design, Human Computer Interaction Design, Data Science, Analysis, Informatics, and/or Statistics, or similar fields Consumer first mindset, critical thinking skills, problem solving skills, desk research skills, comfortable with ambiguity Self-starter requiring little direct supervision Experience collaborating with multi-disciplinary and/or cross functional teams Experience in Healthcare preferred but not required Global experience a plus You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Office/Remote position How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations. This is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality of healthcare that we all deserve. Do the work of your life to help improve the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. Learn more about our commitment to diversity and inclusion. Philips Transparency Details The hourly pay range for this position is $25.00 to $31.00, plus overtime eligible. The actual base pay offered may vary depending on multiple factors including, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. Additional Information US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Bothell, WA This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer/Disabled/Veteran and maintains a drug-free workplace.

Who You'll Work With Global Services is comprised of collaborative, inclusive, cross-functional teams that work together to support our corporate functions. We push the boundaries of what's possible and deliver solutions that accelerate innovation at a global scale. Our teams include Information Technology, Legal, Information Security & Governance, Marketing, Operations, Finance & Accounting, People, and our Executive Office. What You'll Do * Build new predictive and prescriptive models in support of strategic business initiatives (including data preparation, model training and tuning, deployment, and monitoring). * Apply statistical analysis and other data science techniques to support ad-hoc data reporting requests. * Support development, configuration, and deployment of a modern, cloud-based data science environment. * Support migration of existing, locally-run predictive models to scalable, cloud-based solutions (including data pipelines, model training and tuning notebooks, and predictive scripts). What You'll Bring * Ability to work in a small, fast-paced team. * Experience with AWS services is highly desirable, particularly EC2, S3, RDS, Lambda, and SageMaker. About Us Slalom is a next-generation professional services company creating value at the intersection of business, technology, and humanity. With our fiercely human approach, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by over 700 technology partners, our nearly 12,000 team members in ten countries and 49 offices help people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For nine years running. Learn more at slalom.com. Location This position is open to location. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the targeted base salary pay range is $20-$25/hr. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until March 24

An employer in the Bothell, WA area is looking for a skilled Data Scientist. The ecommerce advanced analytics team is looking for principal level analysts/data scientist to join our team to help deliver insights about the site traffic, customer journey analysis, A, B testing, cohort analysis, customer segmentation, make predictions, and solve a variety of business problems. This is an expert level position for an entrepreneurial minded thought leader who can help identify opportunities across the site, across products, and across channels. In addition to analyzing data from multiple sources including data lakes, internal/external data sources, data warehouses, etc. This person will have the opportunity to use predictive modeling, statistics, NLP, trend analysis, and other analysis techniques to wrangle, explore, and explain what is observed or predict customer behavior. A successful candidate will partner with and advise teams across multiple functional areas and products to improve customer experience and thruput by solving a variety of business problems. Develop beautiful data apps, data visualizations, dashboards, reports, write ups, and craft clear stories to support decision making. (Adobe, Tableau, Power BI, Powerpoint, Streamlit, Databricks, Plotly Dash, etc...) Wrangle, analyze, and interpret a wide variety of data, applying both standard and new techniques. Identify causal relationships, trigger points, next best action, and ultimately make predictions. (Palintir, Databricks, SnowPark, PySpark, Python, Azure, Snowflake, R, etc...) Design, and conduct A, B and multi variate tests. Use other forms of modeling to enable testing and think outside the box when traditional A, B testing is not available. Ultimately use output to determine benefit and measure lift. Support business cases. Defend data insights and recommendation to key decision makers and senior leadership. Develops reports, charts, tables, and other visual aids in support of findings. Advise business partners and leadership about patterns and relationships in data to recommend business direction or outcomes. Identify and size opportunities using the data. Build MLMs (propensity, decision trees, forecasting models, etc...), test the models on results outside of the sample set, and validate the model using real world scenarios, help the company use the model in production. Examples of how to use this in production may include automation of A, B testing and personalization, predicting intent, improving search functionality, sales lead scoring, etc... We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements 5+ years analytical experience (preferably in ecommerce). Expert in PySpark, Python/R, Databricks / Snowpark, SQL, and Tableau. Deep technical knowledge and subject matter expert on ecommerce Extensive and proven experience using analytical techniques, data visualization, and storytelling. Business acumen with ability to communicate insights and defend findings to senior leadership. Degree/certificate in a quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics OR equivalent experience. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

Intern - Data Analyst - Bothell, WA - Summer 2025 Are you interested in an internship opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in a 3 month paid intern opportunities at our site in Bothell, WA. Through this role you will gain meaningful, hands-on experience working for a HealthTech company. Your role: As a Data Analyst Intern working with our Product Research Center and Consumer Care Experience, you will contribute to continuously pioneering new breakthroughs in home oral care technology with our team embedded in the Oral Healthcare business. We advocate for our customers across the entire ecosystem of products, services, and digital experiences. Your role: * Utilize quantitative and qualitative consumer experience insights, to identify consumer pain points and drive evidence-based services ideation and prototype creation. * You will be responsible for producing and interpreting end to end service blueprint visualizations, journey and system maps, and conduct consumer feedback analytics to generate insights to communicate across the organization and deliver improvements that ensure superior consumer satisfaction with our products and services. * You will be working with a team of consumer experience managers and content specialists responsible for the end-to-end post purchase customer experience and in market feedback loop into the product lifecycle. * The Consumer Content and Experience team interfaces broadly across Marketing, Research and Development, Regional teams and central enabling functions to bring lifetime value to our users. In this role you will interface directly with stakeholders with expertise in a wide range of disciplines working in product development and user experience. You're the right fit if: * Working towards a degree in any of the following, including adjacent degrees: User Experience Research, Design, and/or Strategy, Sociology, Psychology, Behavioral Science, Social Science, Marketing, Business, Service and/or Product Design, Human Computer Interaction Design, Data Science, Analysis, Informatics, and/or Statistics, or similar fields * Consumer first mindset, critical thinking skills, problem solving skills, desk research skills, comfortable with ambiguity * Self-starter requiring little direct supervision * Experience collaborating with multi-disciplinary and/or cross functional teams * Experience in Healthcare preferred but not required * Global experience a plus * You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Office/Remote position How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations. This is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality of healthcare that we all deserve. Do the work of your life to help improve the lives of others. * Learn more about our business. * Discover our rich and exciting history. * Learn more about our purpose. * Learn more about our commitment to diversity and inclusion. Philips Transparency Details The hourly pay range for this position is $25.00 to $31.00, plus overtime eligible. The actual base pay offered may vary depending on multiple factors including, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. Additional Information US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Bothell, WA This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer/Disabled/Veteran and maintains a drug-free workplace.

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. This role will be based out of our office in the Greater Seattle area. #LI-onsite Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. Internship Details Our clinical data analyst internship/apprenticeship is designed for candidates who have recently graduated from an undergraduate or graduate program in computer science or a related field. Candidates must have graduated in the past year to be eligible. This will be a 3-month internship. This Opportunity Truveta is building the leading platform for medical research on one of the largest and most comprehensive clinical data sets in the country. This role will primarily focus on performing data analyses to support various healthcare projects and initiatives. The ideal candidate will have a strong analytical mindset, an interest in healthcare data, and the ability to work both independently and collaboratively. Responsibilities Ad Hoc Analysis: Conduct detailed ad hoc analyses to address specific business questions or challenges. This may include data extraction, manipulation, and reporting. Data Collection & Preparation: Use Databricks, SQL, and Excel to collect and analyze data Collaboration: Work closely with senior analysts, healthcare professionals, and other team members to understand analysis requirements and provide data-driven insights. Data Quality Assurance: Verify data integrity and accuracy of outputs independently and by maintaining best practices such as code review Documentation: Maintain thorough documentation of methodologies, processes, and findings to support reproducibility and knowledge sharing. Continuous Learning: Stay updated with the latest trends and technologies in healthcare analytics and data science. Key Qualifications Experience using SQL, Python; PowerBI is a plus Exposure to ML/AI preferred Excellent problem-solving and communication skills B.S. or M.S. in Computer Science or related field is required Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We offer: Monthly stipend of $1,800-$2,200 Company-issued laptop and equipment Opportunities for future full-time positions Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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 such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. 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 such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

Unlock the Future with Amazon Science! Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation - we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. A day in the life * Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. * Design, development and evaluation of highly innovative ML models for solving complex business problems. * Research and apply the latest ML techniques and best practices from both academia and industry. * Think about customers and how to improve the customer delivery experience. * Use and analytical techniques to create scalable solutions for business problems. BASIC QUALIFICATIONS * Are enrolled in a PhD * Are 18 years of age or older * Work 40 hours/week minimum and commit to 12 week internship maximum * Can relocate to where the internship is based * Experience programming in Java, C++, Python or related language * Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling PREFERRED QUALIFICATIONS * Have publications at top-tier peer-reviewed conferences or journals * Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Intern - Data Analyst - Bothell, WA - Summer 2025** Are you interested in an internship opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in a 3 month paid intern opportunities at our site in Bothell, WA. Through this role you will gain meaningful, hands-on experience working for a HealthTech company. **Your role:** As a Data Analyst Intern working with our Product Research Center and Consumer Care Experience, you will contribute to continuously pioneering new breakthroughs in home oral care technology with our team embedded in the Oral Healthcare business. We advocate for our customers across the entire ecosystem of products, services, and digital experiences. **Your role:** + Utilize quantitative and qualitative consumer experience insights, to identify consumer pain points and drive evidence-based services ideation and prototype creation. + You will be responsible for producing and interpreting end to end service blueprint visualizations, journey and system maps, and conduct consumer feedback analytics to generate insights to communicate across the organization and deliver improvements that ensure superior consumer satisfaction with our products and services. + You will be working with a team of consumer experience managers and content specialists responsible for the end-to-end post purchase customer experience and in market feedback loop into the product lifecycle. + The Consumer Content and Experience team interfaces broadly across Marketing, Research and Development, Regional teams and central enabling functions to bring lifetime value to our users. In this role you will interface directly with stakeholders with expertise in a wide range of disciplines working in product development and user experience. **You're the right fit if:** + Working towards a degree in any of the following, including adjacent degrees: User Experience Research, Design, and/or Strategy, Sociology, Psychology, Behavioral Science, Social Science, Marketing, Business, Service and/or Product Design, Human Computer Interaction Design, Data Science, Analysis, Informatics, and/or Statistics, or similar fields + Consumer first mindset, critical thinking skills, problem solving skills, desk research skills, comfortable with ambiguity + Self-starter requiring little direct supervision + Experience collaborating with multi-disciplinary and/or cross functional teams + Experience in Healthcare preferred but not required + Global experience a plus + You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Office/Remote position **How we work together** We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations. This is an office role. **About Philips** We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality of healthcare that we all deserve. Do the work of your life to help improve the lives of others. + Learn more about our business. + Discover our rich and exciting history. + Learn more about our purpose. + Learn more about our commitment to diversity and inclusion. **Philips Transparency Details** The hourly pay range for this position is $25.00 to $31.00, plus overtime eligible. The actual base pay offered may vary depending on multiple factors including, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. **Additional Information** US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. Company relocation benefits **_will not_** be provided for this position. For this position, you must reside in **_or_** within commuting distance to Bothell, WA It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status or a person's relationship or association with a protected veteran, including spouses and other family members, marital or domestic partner status, or any other category protected by federal, state and/or local laws. As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact ************, option 5, for assistance. Equal Employment and Opportunity Employer/Disabled/Veteran

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 such as eBay and Teach For America leverage RippleMatch to build diverse, 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.