Ofertas de trabajos y empleos de drive forlik en Septiembre 2022

Material Handler/Back-Up Delivery Driver IMMEDIATELY HIRING! Starting Pay: $25.00/Hour! $*0 Sign On Bonus! Hiring Day Shift: 7:00 a.m. - 3:30 p.m. As a Material Handler/Back-Up Delivery Driver, you will provide outstanding customer service and develop relationships with ... [...] .
25 Septiembre 2022 - PPG Industries - aldaba.com Mount Laurel

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25 Septiembre 2022 - Care.com - retirementjobs.com Marietta

Software Development Engineer II, Amazon Prime Video 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems. 2+ years of non-internship professional software development experience Programming experience with at least one software programming language. 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. 2+ years of non-internship professional software development experience Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design , Job summary Job summary Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings that we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa. Today, we deliver Movies, TV shows and Live Sports to Windows and Mac PCs, portable devices, gaming consoles, smart phones, and smart TVs. We operate in over 250 countries and territories and we aspire to grow -- a lot. We are looking for smart, motivated Software Development Engineer who can help in building platform for delivering live video events to our customer. If you have experience building large-scale, high-performance, customer-friendly products and are interested in designing multi-tier services to handle large datasets, complex domains, and problems at Amazon scale, this is the job for you. Our innovative systems include high efficient and large scale platforms built on Amazon's cloud computing infrastructure. For this position you will have a strong background in OO design with a modern programming language. Experience working with web services, XML, JSON, Apache services is desired. Linux system development experience is a plus. Equally important to these specific skills is the ability to multi-task, quickly adapt to new development environments and changing business requirements, learn new systems, create reliable/maintainable code, and find creative and scalable solutions to difficult problems. You are highly-motivated and thrive in an environment where problems are open-ended. You enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top. You see your mistakes as learning opportunities and continually look for ways to improve yourself, your team and your products. You understand that not all solutions come easily and don\'t shy away from hard work to reach your goals. You are excited about the opportunity to engage in developing a top notch consumer web application and user experience., MS in Computer Science or equivalent Experience developing cloud software services and an understanding of design for scalability, performance and reliability. Development experience defining, developing and maintaining REST based interfaces Excellence in technical communication with peers and non-technical cohorts Experience building developer facing products and services Experience building frameworks for creating applications on various platforms Experience with speech and language understanding systems Strong sense of ownership, urgency, and drive. Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices. Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment. The pay range for this position in Colorado is $143,000 - 194,000 [yr]; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site. Onsite location options include: Seattle, WA; Los Angeles, CA; Austin, TX; New York City, NY; and others. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us..
24 Septiembre 2022 - - amazon.jobs Virtual Contact Center-WA

Sr. Customer Advisor, EDU, Higher Education AB Sales 5+ years sales experience in the Education vertical or related field Experience in identifying, developing, negotiating, and closing large-scale purchasing contracts or software agreements Experience in positioning and selling innovative solutions to new customers and market segments Proven track record in identifying and pursuing a large number of accounts over the phone, with ability to close in person Ability to think and act independently within a fast-paced multi-task driven environment , Job summary Come be a part of a rapidly expanding $25 billion dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide. Roles and Responsibilities Strategic Account Management that helps customers design and implement solutions that solve educational procurement challenges Drive and accelerate spend adoption through advising customers on best practices for using Amazon Business solutions Deliver accurate weekly reporting on growth pipeline and customer spend adoption Work closely with sales team to provide status updates and insights learned during deployment Manage RFP/RFQ process and help sales team position Amazon Business for success with their customers Focus on automating as many service needs for customers and work with Product Management and Technical teams to develop solutions that will increase solution adoption Meet or exceed targets for customer and/or feature spend adoption Relay market needs and requirements back to internal Amazon teams including Product Management, Technical and Category Management teams Amazon Business serves the procurement needs of Higher Education customers, allowing buyers affiliated with an academic institution to browse, review, and order millions of products conveniently. With expedited shipping, administrative, programmatic and educational staff receive the tools they need to accomplish the university's mission. Amazon Business supports compliance with spending policies, provides centralized access to spend data and enables control over spend activity. The Amazon Business for Education team is dedicated to developing solutions inclusive of an expanded online store that combines the selection, convenience, and value customers have come to know and love from Amazon, with new features and unique benefits tailored to customers in the Higher Education sector. Customer Advisors are responsible for supporting long-term strategic customer relationships following an initial on-boarding and stabilization period. The primary areas of responsibility include broadening solution adoption through institution-wide deployment, feature adoption, and developing relationships with buying decision makers across functional areas such as Procurement, Information Technology, Facilities, and more. Customer Advisors will also support large complex customer engagements requiring additional deployment support. The Customer Advisor will ensure recommended solutions meet our customer's procurement needs and will recommend approaches and alternatives that fit their environment, including but not limited to contracting and competitive requirements unique to public institutions, eProcurement integration, advanced payment, and automated reconciliation processes. The candidate will work closely with customers to manage deployment and ensure that our solutions are successfully adopted. The ideal candidate will have relevant Higher Education consultative sales experience and have a proven track record of meeting and exceeding program goals and revenue targets. *This role can based in one of the following locations: Seattle, Washington; Arlington, VA; Herndon, VA; New York City, New York; Austin, TX; Boston, Massachusetts*; Amazon Business serves the procurement needs of Higher Education customers, allowing buyers affiliated with an academic institution to browse, review, and order millions of products conveniently. With expedited shipping, administrative, programmatic and educational staff receive the tools they need to accomplish the university's mission. Amazon Business supports compliance with spending policies, provides centralized access to spend data and enables control over spend activity. The Amazon Business for Education team is dedicated to developing solutions inclusive of an expanded online store that combines the selection, convenience, and value customers have come to know and love from Amazon, with new features and unique benefits tailored to customers in the Higher Education sector. Customer Advisors are responsible for supporting long-term strategic customer relationships following an initial on-boarding and stabilization period. The primary areas of responsibility include broadening solution adoption through institution-wide deployment, feature adoption, and developing relationships with buying decision makers across functional areas such as Information Technology, Facilities, and more. Customer Advisors will also support large complex customer engagements requiring additional deployment support. The Customer Advisor will ensure recommended solutions meet our customer's procurement needs and will recommend approaches and alternatives that fit their environment, including but not limited to contracting and competitive requirements unique to public institutions, eProcurement integration, advanced payment, and automated reconciliation processes. The candidate will work closely with customers to manage deployment and ensure that our solutions are successfully adopted. The ideal candidate will have relevant Higher Education consultative sales experience and have a proven track record of meeting and exceeding program goals and revenue targets. Roles and Responsibilities Strategic Account Management that helps customers design and implement solutions that solve educational procurement challenges Drive and accelerate spend adoption through advising customers on best practices for using Amazon Business solutions Deliver accurate weekly reporting on growth pipeline and customer spend adoption Work closely with sales team to provide status updates and insights learned during deployment Manage RFP/RFQ process and help sales team position Amazon Business for success with their customers Focus on automating as many service needs for customers and work with Product Management and Technical teams to develop solutions that will increase solution adoption Meet or exceed targets for customer and/or feature spend adoption Relay market needs and requirements back to internal Amazon teams including Product Management, Technical and Category Management teams This role can be located out of any of the Amazon Business locations in the United States, which include Austin TX, Boston MA, Arlington VA, Chicago IL, New York NY, Tempe AZ and Seattle WA.\u0026nbsp;Additional locations may be considered. Key job responsibilities Strategic Account Engagement that helps customers design and implement solutions that solve educational procurement challenges Drive and accelerate spend adoption through advising customers on best practices for using Amazon Business solutions Deliver accurate weekly reporting on growth pipeline and customer spend adoption Work closely with sales team and sales leadership to provide status updates and insights learned during deployment Focus on automating as many service needs for customers and work with Product Management and Technical teams to develop solutions that will increase solution adoption Meet or exceed targets for customer and/or feature spend adoption Relay market needs and requirements back to internal Amazon teams including Product Management, Technical and Category Management teams, Deep knowledge of procurement (e.g., Public Sector contracting practices at the district and school levels) and source to pay processes and solutions · Active listener and effective communicator Ability to prioritize and demonstrate relentless discipline in achieving goals Proven ability to influence others and lead customer engagements Ownership, Bias for Action and willingness to roll up your sleeves · Expert use of MS Office Suite, CRMs (e.g. Salesforce.com) and other systems BA/BS degree 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us..
24 Septiembre 2022 - - amazon.jobs Seattle

title 3+ years of design, implementation, or consulting experience in applications or infrastructures 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data \u0026 analytics) 3+ years design \u0026amp; implementation experience with distributed applications 3+ years of experience in networking; infrastructure or database architecture Working knowledge of software development tools and methodologies Technical degree required; Computer Science or Math background desired Working knowledge of cloud technologies Experience presenting to both large and small audiences (Executives, IT Management, and developers) Experience communicating across internal and external organizations Depending on location this role requires 25%-40% domestic travel , Job summary Cloud is the new normal and our customers are interested in leveraging AWS to increase agility, improve security, reduce costs and gain global footprint. Our DNB (Digital Native Business) customers are at the forefront of this adoption. AWS Solutions Architects help educating our customers on how to craft highly scalable, flexible, resilient, secure and cost-effective cloud architectures. As a trusted customer advocate, the solutions architect will help organizations understand advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS within organizations ranging from new start-ups to large enterprise customers. The ability to link technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. We are looking for a candidate who is comfortable at the intersection of technology and business. They will be broadly competent across many areas of technology and deep in a handful of areas. It's ok for them to be less deep in some places, but we need to feel confident that they have the fundamentals and the ability to learn complex new technologies quickly. On the business side, we are looking for excellent communication skills. The Solutions Architect will spend most of their day interacting with customers via email, phone, WebEx, and in-person meetings. They will meet with developers, team leads, engineering directors, and CxOs. Given the large portion of customers who are self-served, interest in and ability to create one-to-many content such as reference architectures and blog posts is an important part of the role. On the soft-skills side, we are looking for ability to moderate tone and technical depth based on audience and solid ability to pick up on non-verbal communication. Also ability to pick up on “un-said' drivers is important. On the personal attributes side, we are looking for individuals who are passionate about technology and have the drive and capability to absorb and retain vast amounts of deep technical information continuously. People who might get easily bored in slower moving environments might do well here. Dependent on location this role requires domestic travel up to 25-40%. Roles and Responsibilities Partner with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS Educate DNB customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS Capture and share best-practice knowledge within the AWS solutions architect community As a key member of the business development and sales team, ensure success in building and migrating applications, software and services on the AWS platform Author or otherwise contribute to AWS customer-facing publications such as whitepapers Act as a technical liaison between customers and product teams and help evolve the AWS platform **Open to Candidates in Pacific and Mountain Time Zones**, preferred_qualifications.
24 Septiembre 2022 - - amazon.jobs Virtual Contact Center-AZ

Applied Scientist, DSP Ranking Science PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field 2+ years of experience of building machine learning models for business application Experience programming in Java, C++, Python or related language , Job summary Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Machine Learning Optimization (MLO) team develops algorithms and systems that improve the performance and delivery of Amazon\'s Display Advertising campaigns and automates campaign management using machine learning techniques. The team develops and deploys machine learning solutions that drive ad selection, bidding, user response prediction, and automated campaign management. Customers are advertisers and publishers who do business with Amazon.We own the system for batch training of user response prediction models, while the ad serving engineering team owns the real-time model scoring component. This teams owns the system for automated management of advertising campaigns, which can dynamically adjust parameters such as budget, bid prices, and targeting to optimize for campaign performance. As an Applied Scientist on this team, you will: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. Run A/B experiments, gather data, and perform statistical analysis. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. Research new and innovative machine learning approaches. Recruit Applied Scientists to the team and provide mentorship. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon\'s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video https://youtu.be/zD_6Lzw8raE Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field. Published research work in academic conferences or industry circles. Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with large real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Experience in computational advertising. Key job responsibilities You will work on the next generation of our real-time pricing systems. These systems are optimizing the price of every individual opportunity on behalf of Amazon Advertising advertisers. A day in the life Conduct offline analysis of data to guide design decisions with the product team Conduct A/B test setup and analyze results to guide rollout, go to market or development priority decisions Suggest and implement models to sophisticate the advertising products we offer to our customers About the team The Ranking team is responsible for real-time pricing decisions on the Amazon RTB (Real-Time Bidding) system, Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field. Published research work in academic conferences or industry circles. Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with large real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Experience in computational advertising. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us..
24 Septiembre 2022 - - amazon.jobs Palo Alto

Senior Data Scientist, Amazon Advertising Business Intelligence Bachelor's Degree 4+ years working as a Data Scientist 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience in as many of the following areas: causal inferencing, multi-variate testing \u0026amp; design, A/B testing \u0026amp; design, descriptive analytics, and regression analysis. Good understanding of supervised and unsupervised learning models. Experience in as many of the following areas: causal inferencing, multi-variate testing \u0026amp; design, A/B testing \u0026amp; design, descriptive analytics, and regression analysis. Good understanding of supervised and unsupervised learning models. , Job summary Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Advertising Modeling, Optimization and Data Science team enhances Advertising teams\' decision-making by providing an exhaustive suite of analytics and automation products, and by extracting meaning from Amazon Advertising\'s global operations. We own and operate a large-scale AWS-based data infrastructure that acts as a pivot to Worldwide operations, enabling critical downstream applications in ad management, design, billing, as well as customer feedback, software infrastructure, and more. The team consists of Business Intelligence Engineers, Data Scientists, and Data Engineers, who work together to improve our Advertisers' and Shoppers' experience with Amazon Advertising by accompanying and supporting the analytical needs of our partner teams. As a Senior Data Scientist on this team you will: Lead Data Science solutions from beginning to end. Deliver with independence on challenging large-scale problems with complexity and ambiguity. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. Build Machine Learning and statistical models to solve specific business problems. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Analyze historical data to identify trends and support optimal decision making. Apply statistical and machine learning knowledge to specific business problems and data. Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. Build decision-making models and propose effective solutions for the business problems you define. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon\'s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video ~ https://youtu.be/zD_6Lzw8raE, Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field. Broad knowledge of ML methods, statistical analysis, and problem-solving skills. Expert level knowledge in statistics and sophisticated user of statistical tools. Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive). Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows). Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer\'s organization. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences. Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations. Experience in computational advertising desired, but not required. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation..
24 Septiembre 2022 - - amazon.jobs New York

Truck Drivers Trucking Co. in northeast NE looking for full-time truck drivers Local cattle/ grain hauling. Home nights with potential for some short over the road loads if wanted. CDL required. recblid ma9n*zyqrupwhft1m73v1dmck4iv... [...] .
24 Septiembre 2022 - Krusemark Farms - aldaba.com Pender

Flex Retail Merchandiser Come join our Team! Driveline is looking for great employees to join our national retail merchandising team providing high-quality retail services to the largest retailers in the United States. If you are looking for something different, wi... [...] .
24 Septiembre 2022 - Driveline Retail - aldaba.com Burney