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data analyst intern

senior data scientist

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 
 
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 
 
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
 </li>
 <li>
 You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
 </li>
 <li>
 You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
 </li>
 <li>
 You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
 </li>
 <li>
 You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
 </li>
 <li>
 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
 </li>
 <li>
 Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
 </li>
 <li>
 Knowledge of machine learning concepts and their application to reasoning and problem-solving
 </li>
 <li>
 Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
 </li>
 <li>
 Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 </li>
 <li>
 Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
 </li>
 <li>
 Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3206663
</div>

Data Scientist I, SHAKE

Apple

<div>
 
 Summary
 
 
 
 Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses.
 
 
 We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor&mdash;all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.
 
 
 
 Description
 
 
 
 The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will:
 </li>
 <li>
 Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.
 </li>
 <li>
 Evaluate which tasks and data types benefit most from automation and work with customers to optimize against.
 </li>
 <li>
 Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch.
 </li>
 <li>
 Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure.
 </li>
 <li>
 Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios.
 </li>
 <li>
 Identify key factors that lead to improving productivity and quality.
 </li>
 <li>
 Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
 </li>
 <li>
 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
 </li>
 <li>
 Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
 </li>
 <li>
 Mastery in SQL-based languages, and proficiency in at least one large-scale data languages
 </li>
 <li>
 Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
 </li>
 <li>
 Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
 </li>
 <li>
 Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
 </li>
 <li>
 Passion for AIML and Operations, with a consistent track record of operational results.
 
 
 </li>
 </ul>
 
 Pay &amp; Benefits
 
 
 
 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
 
 
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
 
 
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 
 
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Data Scientist, AIML Data Scientist

Starbucks

<div>
 
 Now Brewing &ndash; Data Scientist! #tobeapartner
 
 
 
 
 
 From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
 
 
 As a Data Scientist on the Data and Analytics (D&amp;A) team, you will be responsible for developing, enhancing, and maintaining analytical models and optimization algorithms. Your work will translate complex analyses into actionable business insights, empowering leaders to make data-driven decisions.
 
 
 You will collaborate closely with cross-functional teams&mdash;including Finance, Store Development, Retail Testing, Supply Chain, Marketing, Product, and Customer teams&mdash;to support strategic initiatives and influence key business decisions.
 
 
 
 
 As a data scientist, you will&hellip;
 
 
 
 
 <ul>
 <li>
 Conduct Exploratory Data Analysis - Analyze large-scale datasets through data wrangling, feature engineering, and statistical exploration. Build reusable data pipelines using tools such as Pandas, Databricks SQL, and Spark to uncover trends, prepare raw data for modeling, and generate actionable insights.
 </li>
 <li>
 Develop and Maintain Analytical Models - Design, enhance, and sustain statistical/analytical models tailored to specific domains such as store testing and experimentation, store development, supply chain, and marketing.
 </li>
 <li>
 Build Predictive and Descriptive Models - Leverage historical data, domain attributes, and external signals to develop models that address diverse business challenges and improve decision-making.
 </li>
 <li>
 Collaborate Cross-Functionally - Partner with teams across data engineering, operations, product, supply chain, and more to translate business needs into scalable data science solutions.
 </li>
 <li>
 Influence Strategic Planning - Provide data-driven recommendations to senior leaders, contributing to long-term strategies and business roadmaps.
 </li>
 <li>
 Demonstrate Curiosity and a Growth Mindset - Tackle complex problems with intellectual curiosity, continuously explore new features and methodologies, and stay up-to-date with industry trends and best practices.
 </li>
 <li>
 Thrive in a Collaborative, Impact-Driven Team - Join a high-performing, supportive team that values innovation, continuous learning, and delivering meaningful business outcomes.
 
 
 </li>
 </ul>
 
 We&rsquo;d love to Hear From People With
 
 
 
 <ul>
 <li>
 Bachelors+ with concentration in quantitative discipline &ndash; Stats, Math, Comp Sci, Engineering, or similar discipline. Masters preferred. Minimum of 1 year of experience
 </li>
 <li>
 Proficiency in coding languages for data preparation and modeling, including SQL for querying large datasets and Python for building pipelines and statistical models
 </li>
 <li>
 Solid understanding of statistical concepts, and techniques, such as regression, classification, decision trees, clustering, and causal inference, with practical experience applying them to real-world problems
 </li>
 <li>
 Experience with data visualization tools and techniques (e.g., Tableau, Power BI) to communicate insights effectively to technical and non-technical audiences
 </li>
 <li>
 Demonstrated curiosity and analytical rigor, with a strong ability to explore complex datasets, identify patterns, and generate actionable insights
 </li>
 <li>
 Excellent attention to detail, along with strong written and verbal communication skills to collaborate across cross-functional teams and present findings to stakeholders
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
 
 
 </li>
 </ul>
 As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
 
 
 <ul>
 <li>
 If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
 
 
 </li>
 </ul>
 The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.  At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
 
 
 We believe we do our best work when we're together, which is why we're onsite four days a week.
 
 
 
 Join us and inspire with every cup. Apply today!
 
 
 
 
 Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
 
 
 
 
 Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
 
 
 
 
 
 
 
 
 Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at
 
 
 applicantaccommodation
 
 
 or 1(888) 611-2258.
 
</div>

data scientist - Data & Data Science (Seattle, WA)

<div>Now Brewing &ndash; Lead Data Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Lead Data Scientist on the Global Supply Chain Data Science team, you will lead the development of advanced forecasting models and optimization algorithms that shape supply chain and inventory decisions. Your work will directly impact coffeehouses, transportation, distribution centers, and suppliers at scale. 
As a lead data scientist, you will&hellip;<ul><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li><li> Work closely with product and internal users. You will understand business initiatives, challenges, questions, and transform user requirements into technical solutions.</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li></ul> 
Mentor and Develop Talent<ul><li> Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li> Foster a culture of innovation and continuous improvement within the data science organization.</li></ul> 

We&rsquo;d love to hear from people with:<ul><li> 
 Education: Bachelors Degree with a concentration in a quantitative discipline. Masters preferred</li><li> 5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> 5+ years of experience in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.</li><li> Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li> Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights. Translate business challenges into research questions, and present findings to technical and non-technical audiences</li><li> Experience building in-house production systems in complex and data-rich domains.</li><li> Mentoring experience</li></ul> 
Preferred Skills:<ul><li> Experience in building forecasting models for time series or operational planning</li><li> Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li> Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments</li><li> Advanced degree (MSc or PhD) in Statistics, Operations Research, Applied Mathematics, or related quantitative field.</li></ul> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul> 
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. 
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. 
 
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</div>

lead data scientist - Data & Analytics (Seattle, WA)

Data Scientist, Product Analytics

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Prime Video offers customers a vast collection of movies, series, and sports&mdash;all available to watch on hundreds of compatible devices world-wide. In addition, Prime members in US can also subscribe to 100+ channels, including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon&rsquo;s enormous selection, exceptional value, and fast delivery. 
 
Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? 
 
We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. 
 
Key job responsibilities 
<ul><li>Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;</li><li>Understand problem space, identify gaps and opportunity for improvement, create roadmap and plans for delivering business goals;</li><li>Lead cross-team collaboration and work closely with engineers and product managers to deliver AI solutions end-to-end;</li><li>Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field;</li><li>Mentor and grow junior scientists and interns;</li><li>Publish your research findings in top conferences and journals.</li></ul> 
About the team 
Prime Video Personalization and Discovery science team owns different aspects of personalization algorithms, from user-item relevance, item-item relevance, and page composition, to name a few. We work closely with the engineering teams to put our models in production.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Software Development Engineer - AI, Prime Video - Personalization and Discovery Science

University Of Washington

<div>Job Description
The GTMBA is a multi-national effort to provide high-quality moored buoy data in real-time for climate research and
forecasting. This position supports the deployment and maintenance of deep-ocean moored buoys in the global tropics to provide high-quality oceanographic and surface meteorological data for monitoring, forecasting, and understanding of the world&rsquo;s climate.
Job Duties
<ul><li>Cruise Planning (25%):
<ul><li>Frequently meets with GTMBA Management to ensure project objectives are on track and well executed.
</li><li>Prepares internal operational and logistics plans, including sensor and acoustic release needs, cruise operational plan, and mooring hardware design documents based on research priorities.
</li><li>Prepares detailed cruise planning documents for distribution to foreign partners. Initiates and maintains timely planning dialogue and logistics coordination with foreign and domestic partners on various platforms including vessels operated by NOAA, National Science Foundation (NSF), chartered vessels and international partners.
</li><li>Prepares health and safety documents for sea-going staff.
</li><li>Schedules, prepares, and leads pre- and post-cruise meetings.
</li><li>Assembles mooring equipment inventories and coordinates mooring plans with PMEL Engineering Division and PMEL mooring shop.
</li></ul></li></ul><ul><li>Coordinating Field Operations (30%):
<ul><li>Serves as primary point of contact within the project for field operations. Maintains communications with project personnel and international partners during research cruises to ensure critical time-sensitive information is received and necessary actions are taken.
</li><li>Performs real-time data quality analysis of wind, temperature, humidity, rainfall, shortwave and longwave radiation, barometric pressure, salinity and current velocity data from moored buoys and various other data sources.
</li><li>Maintains field operations statistics database.
</li><li>Prepares documentation related to scheduling and procurement of ship time as liaison between international partners, Project Director, Project Manager, and NOAA contracting officials.
</li><li>May assist Project Logistics Manager with shipping logistics as needed.
</li><li>Represents the GTMBA project on International Vandalism committee.
</li><li>Maintains intranet tables and documents relevant to GTMBA operations.
</li><li>Fields, directs and/or responds to public requests for GTMBA information, data, and graphics.
</li></ul></li></ul><ul><li>Supervising and Instrumentation Lab Management (30%):
<ul><li>Supervises junior scientist(s). Work with employee(s) to establish goals and performance time lines. Mentors employee(s) and serve as employee advocate. Conducts employee performance reviews.
</li><li>Serves as liaison between project mooring technicians, data scientists and managers. This includes writing and compiling notes that document instrument tests and upgrades, field experiments, procedural changes, software bugs, etc.
</li><li>Coordinates cruise staffing schedules and designates staffing assignments.
</li><li>Leads regular instrumentation lab staff meetings.
</li><li>Reviews and approves CICOES Travel / budget allocation for GTMBA.
</li><li>Coordinates and directs safety training for CICOES GTMBA employees.
</li></ul></li></ul><ul><li>Chief Scientist or Mooring Lead during GTMBA Cruises (15%):
<ul><li>May serve as Chief Scientist on GTMBA Cruises or senior technical representative on ships of opportunity whether domestic or international. Responsible for the successful recovery/deployment of GTMBA surface and subsurface moorings while at sea. This includes directing project staff and consulting with the ship&rsquo;s personnel in safely performing the deployments/ recovery mooring operations within the capabilities and limitations of the platform and crew.
</li><li>Lead and supervise moored buoy operations at sea during research cruises. Observe system components that are mounted on moored buoy platforms deployed from oceanographic research vessels and other large ships in a remote, deep ocean environment. Operate and maintain vessel-based oceanographic sensors, meteorological sensors, and mooring equipment.
</li><li>Planning and operational management of the GTMBA requires extensive and comprehensive experience with moored array buoy systems, including data management and field operations. The individual must have the ability to assess and make informed decisions on operational requirements that are critical to the success of the project. The work requires innovative and skillful improvisation to accommodate changing requirements that may arise as a result of programmatic shifts, changes in ship allocations, weather, and other emergencies. The field programs within the Project are international in nature and the individual must have the expertise to deal with a variety of technical, logistical, and cultural issues that develop in the execution of the Project&rsquo;s efforts. The individual must have demonstrated the ability to effectively present project objectives, plans and accomplishments to foreign and domestic research partners and have strong verbal and written skills.
</li><li>Real-time data quality analysis and operational communications activities require an on-call duty status on most weekends. Incumbent will be expected to train project personnel and international technicians and programmers in data management procedures and may supervise junior data management personnel. Research results are prepared for publication in conjunction with the principal investigator.
</li></ul></li></ul>Minimum Requirements
<ul><li>Master&rsquo;s Degree in Marine Science, Environmental Science, Physics, Engineering or related fields
</li><li>Four years of relevant experience
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul>Desired Qualifications
<ul><li>Knowledge of operations management and personnel management principals.
</li><li>Knowledge of ship-board oceanographic operations and experience working at sea.
</li><li>Demonstrated skill (at least 2 years of experience) with supervising employees.
</li><li>Demonstrated strong skill in verbal and written communication.
</li><li>Skill in monitoring/assessing the performance of individuals or organizations to make improvements or take corrective action.
</li><li>Skill in completing assignments accurately and with attention to detail.
</li><li>Skill with handling a variety of technical, logistical, and cultural issues that develop during field operations.
</li><li>Skill in data management.
</li><li>Ability to plan, assign, and/or supervise the work of others.
</li><li>Ability to plan, implement, and evaluate programs.
</li><li>Ability to occasionally work evenings, nights, and weekends as necessary.
</li><li>Ability to assess and make informed decisions on operational requirements critical to the success of the project.
</li><li>Ability to improvise and accommodate changing or unanticipated requirements.
</li><li>Demonstrated ability to effectively present project objectives, plans and accomplishments to research partners
</li><li>Knowledge of generally accepted accounting procedures and principles.
</li><li>Knowledge of budget control methods, policies, and procedures.
</li><li>Skill and comprehensive experience with moored array buoy systems
</li><li>Skill and experience conducting oceanographic field operations in foreign countries or with foreign institutions
</li><li>Skill with map-making software
</li><li>Ability to serve as Chief Scientist or senior technical representative on oceanographic research cruises
</li><li>Ability to maintain internet and intranet web pages
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$99,444.00 annual
Pay Range Maximum:
$120,000.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a temporary position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; 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 206-543-6450 or dso@uw.edu .
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 .</div>

Research Scientist/Engineer IV- Field Research Operations Manager (Temporary)

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