Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing center of excellence for Disney Parks, Experiences and Consumer Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business. We are seeking an inspiring and collaborative leader to serve as Senior Manager, Consumer Insight. Reporting to the Director, Consumer Insight, the manager will lead a team responsible for developing, executing, synthesizing, and leveraging research, analytics, and other sources of insight to inform and inspire partners. In a rapidly changing consumer and market environment, with ever increasing touch points and data, the emphasis is on cutting through the noise to provide actionable insight – clear, objective, strategic, holistic, timely, and relevant. The optimal candidate will be a solutions-oriented, optimistic leader with proven success using innovative qualitative and quantitative research techniques to positively influence decisions. Responsibilities Lead a Consumer Insight team analyzing U.S. population, Central Florida visitor, and Walt Disney World Guest visitation behavior to inform strategic decision making. Partner with leadership and stakeholders to create and execute quantitative ad-hoc research projects (e.g., pricing, sizing, scenario modeling, demand estimation, root cause analysis), conduct in-depth advanced statistical analysis on existing data, and identify and implement innovative data solutions to deliver timely, comprehensive insights in an actionable and inspiring way. Maximize team’s impact and value through effective team and project management, innovative thinking and talent development. Basic Qualifications 10+ years of consumer insight, market research, analytics or related experience, including advanced quantitative techniques Demonstrated ability to independently lead all phases of the research process including: translating business needs into a research plan, proposing methodologies, technical design, survey / guide development, analysis, presentation / report writing, and sharing insights Demonstrated ability to integrate multiple data sources into clear, actionable insights and stories Excellent communication and storytelling skills Demonstrated ability to execute advanced analytics and clearly communicate approach and results Proven ability to think and act strategically Demonstrated ability to develop strong partnerships and positively influence business decisions Ability to thrive in a fast-paced environment while effectively manage multiple priorities and timelines Proactive as well as responsive Solutions-oriented individual will to challenge established thinking and practices Works effectively with ambiguity Ability to balance development of the team and their work with being a hands-on research practitioner Demonstrated experience developing and leading strong research and analytical teams Highly proficient using SAS or SPSS Preferred Qualifications Tableau experience Previous experience supporting ongoing tracking, program/initiative measurement, pricing studies, new product innovation, forecasting consumer behavior, or similar studies Required Education Bachelor’s degree or equivalent Preferred Education Master’s degree in analytics related field About Walt Disney World Resort: Since opening in 1971, Walt Disney World Resort has played an important role in many childhood and family memories. Today, hundreds of millions of guests from around the globe visit this magical place to enjoy a Disney vacation. Through a combination of creativity, innovation and technology, the resort immerses guests in classic Disney tales and new kinds of family entertainment. Drawing from a rich heritage of storytelling, Walt Disney World Resort cast members bring Disney magic to life through unmatched attention to detail and superior guest service. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Destinations, LLC, which is part of a business segment we call Walt Disney World Resort. Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

In this role The Advanced Analytics & Optimization Manager will leverage multiple statistical methodologies including predictive modeling, marketing mix modeling, and ROI analysis to develop insights into our global marketing investment, and Incorporate these insights into advanced scenario planning applications for use by the Global Marketing & Sales Organization. This role will also develop other data mining projects at the direction of senior leadership. This is an individual contributor role reporting to the Manager, Advanced Analytics & Optimization. Responsibilities Develop Marketing Mix Models for various WDPR business units Transform model results into insights to help stakeholders understand historical media impact and trends in media performance Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders. Create other statistical and data mining models for various WDPR business units Perform other exploratory data analysis as assigned Basic Qualifications Minimum 3year(s) professional work experience Demonstrated strong written and verbal communication skills Experience with marketing/media mix modeling Experience with various analytic methodologies including; CHAID, multi variant regression, and time series regression and forecasting Experience with SAS, SPSS, R or Python Experience with multiple digital data sources including DART, and Omniture Experience with Multi Touch Attribution methodologies Preferred Qualifications 5 years professional work experience Advance experience with SAS including Enterprise Miner Prior work experience within a media agency or analytics consulting firm Experience building and delivering scenario planning applications Experience with Teradata Advanced SQL programming skills Required Education Master's degree or equivalent in Statistics, Economics, Mathematics, Business Administration, or Operations Research Preferred Education PhD or equivalent in Statistics, Economics, Mathematics, Business Administration, or Operations Research About Walt Disney World Resort: Since opening in 1971, Walt Disney World Resort has played an important role in many childhood and family memories. Today, hundreds of millions of guests from around the globe visit this magical place to enjoy a Disney vacation. Through a combination of creativity, innovation and technology, the resort immerses guests in classic Disney tales and new kinds of family entertainment. Drawing from a rich heritage of storytelling, Walt Disney World Resort cast members bring Disney magic to life through unmatched attention to detail and superior guest service. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Destinations, LLC, which is part of a business segment we call Walt Disney World Resort. Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

Consumer Insights, Measurement, & Analytics (CIMA) is a team within Disney Parks, Experiences & Consumer Products (DPECP) Global Marketing & Sales organization that is focused on inspiring consumer-centric, data-driven, high return decision making that leverages keen insights and relevant data at the core of every business decision. This role within CIMA will support efforts to influence and inform Marketing strategy development and enterprise-wide executive-level decision-making by measuring, analyzing, synthesizing, and interpreting a broad spectrum of data, including media effectiveness, sales results, theme park attendance, resort room nights, primary and secondary research findings, and other key business driver metrics. The focus of this role will be major Walt Disney World Resort and Disneyland Resort business initiatives, marketing programs, ad campaigns, and related efforts. Responsibilities Assist with analytic efforts to assess Marketing initiatives and develop better understanding of marketing effectiveness. This position will help the organization in evaluating marketing campaign performance, researching industry trends, proactively identifying and solving opportunities for value-added analysis, developing points of view to drive results, and helping frame recommendations for leadership. The successful candidate will have a mix of marketing and analytic experience that will help them draw the connection between what marketing campaigns are intended to accomplish, how they actually perform and why. A key outcome is making actionable recommendations to improve performance. The position will partner with a spectrum of teams from across the organization to ensure all relevant organizational goals and implications are appropriately considered. A successful candidate will have strong relationship skills and be able to effectively analyze and integrate results from across the broader CIMA team as well as key partner areas within and outside Global Marketing & Sales, including Marketing & Sales Strategy, Global Media Strategy, Digital Marketing, Pricing, Planning & Forecasting, and Finance. Basic Qualifications Minimum four (4) years experience in analytics, business planning or similar role, preferably within the travel industry Marketing knowledge or experience Analytical and technical problem solving skills, including knowledge of statistics Demonstrated ability to effectively handle multiple tasks simultaneously Demonstrated proficiency in analytic software applications such as Tableau, Excel and/or SAS Demonstrated experience in analyzing data from multiple sources Demonstrated excellent interpersonal skills, including ability to ask questions to gain understanding, partner with others and deal with differing points of view Ability to collaborate in a team environment and with a variety of stakeholders Creative problem-solving skills, with the ability to think strategically and act tactically Demonstrated attention to detail and focus on excellence in work product delivery Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations Ability to approach work with high energy and a results-oriented mindset Ability to identify and handle issues proactively and decisively with limited direction and oversight while also communicating consistently to executive leadership Preferred Qualifications Experience working with digital and traditional media effectiveness data. Demonstrated ability to develop and deliver persuasive presentations of complex business issues Demonstrated ability to quickly gain a conceptual understanding of a complex situation and establish immediate credibility Required Education Bachelor’s Degree (or equivalent) with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field Preferred Education Master's Degree in an analytic field About Walt Disney World Resort Since opening in 1971, Walt Disney World Resort has played an important role in many childhood and family memories. Today, hundreds of millions of guests from around the globe visit this magical place to enjoy a Disney vacation. Through a combination of creativity, innovation and technology, the resort immerses guests in classic Disney tales and new kinds of family entertainment. Drawing from a rich heritage of storytelling, Walt Disney World Resort cast members bring Disney magic to life through unmatched attention to detail and superior guest service. About The Walt Disney Company The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Destinations, LLC, which is part of a business segment we call Walt Disney World Resort. Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and does not have direct reports. Responsibilities: Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel. Generate insight from site data and communicate opportunities or issues. Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements. Work with implementation specialists to validate website tracking. Design effective and impactful reports and visualizations for business and technical audiences. Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis. Create presentations to highlight analysis and tell the story Basic Qualifications: Ability to derive actionable insights from data and effectively guide decision-making. Ability to manage multiple priorities in a fast-paced, complex business environment Excellent written and verbal communication skills. Proactive problem-solving and critical thinking skills. Ability to manage time effectively and consistently meet deadlines. Proficient in Microsoft Office suite. Experience with SQL, Hive, SAS and/or other programming languages Preferred Qualifications: 2+ years relevant work experience in an analytical field. 1+ years of experience with web analytics tools such as Adobe SiteCatalyst or Google Analytics. Travel industry and ecommerce experience. Experience with A/B testing and website optimization. Ability to apply statistical rigor to analyses. Knowledge of web page construction and/or user experience design. Experience with business intelligence tools Required Education: Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc Preferred Education: Master’s degree in an analytical/quantitative field or equivalent work experience About Parks, Experiences and Consumer Products: The Parks, Experiences and Consumer Products segment includes Disney’s iconic travel and leisure businesses, which include six resort destinations in the United States, Europe and Asia, a top-rated cruise line, a popular vacation ownership program, and an award-winning guided family adventure business. Disney’s global consumer products operations include the world’s leading licensing business across toys, apparel, home goods, digital games and apps; the world’s largest children’s publisher; Disney store locations around the world; and the shopDisney e-commerce platform. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Destinations, LLC, which is part of a business segment we call Parks, Experiences and Consumer Products. Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

Create innovative scientific models and data-driven decision support tools as a member of our Decision Science team. Not sure where you fit in? We hail from many disciplines, including: Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Machine Learning, and Econometrics. If your expertise lies in data mining, analytical consultation and science modeling, this could be the perfect role for you. Your Role: Achieve business goals and objectives – Research and develop decision science models and act as a consultant to all business units within The Walt Disney Company Pursue innovation - Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users Put your skills to the test - Perform data collection and data mining as well as build state-of-the-art decision science algorithms, tools and systems Drive value - Model and analyze revenue management and pricing related issues using various mathematical, statistical and simulation techniques Tell the story - Present science results to business partners and clients Support a global and enterprise-wide mission - Identify and apply best practices in the field of advanced analytics (statistics, operations research, etc.) to multiple Walt Disney Company business units including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products What We’re Looking For: Possess a Master’s degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field Must exhibit competence in at least one of the following four analytics/science fields (inclusive of applicable topics as noted), and in one computing topic as follows: Statistics (two or more topics): Bayesian statistics Generalized linear models Mixture models Nonparametric regression Structural equation models Time series (State space models, ARIMA, etc.) Optimization (at least one topic): Decision Analysis or Multiple Criteria Decision Making Mixed-integer Non-linear Stochastic Stochastic Models and Discrete-Event Simulation Econometrics (two or more topics): Generalized method of moments Instrumental variables Limited dependent variables Panel data Simultaneous equations models Machine learning (two or more topics): Boosting CART Clustering Graphical models Neural networks Random forests Reinforcement learning Support vector machines Computing & programming languages (at least one): General (Java, Python, C, C++, etc.) Statistical (SAS, R, etc.) Scientific computing (MATLAB, Julia, etc.) How To Stand Out: Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing Possess a PhD in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics or related field Company Overview: Data

At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We Are... The Production Data and Analytics team is responsible for developing a strategy and vision for cross-functional and complex data analysis projects. This team aggregates data across multiple CG-animated productions and transform it into meaningful insights that inform decision making at both the operational and executive levels. Responsibilities: A Day in the Life: Participating in the building of the next generation of statistical models, metrics, and visualizations for our studio Contributing to the building of production tools and visualizations that enable the production management teams to run scenarios and build informed plans for our films Assisting in the development of executive dashboards across all departments (HR, Finance, Recruiting, Production, etc.) Conducting ad-hoc analysis Basic Qualifications: What You Bring to the Role: Experience collecting, analyzing and manipulating large data sets Experience using one or more programming languages (Python, Java, C++, etc.) Experience in data visualization (D3.js, Tableau, Matplotlib, etc.) Good communication skills Preferred Qualifications: Comfortable in a creative environment Experience with statistical tools (R, SAS, etc.) and analysis, regression modeling and forecasting Required Education Working towards (or recently graduated with) an undergraduate degree in Analytics, Statistics, Finance, Business, Economics, Mathematics, Computer Science or other related field GPA of 3.0 or higher Additional Information: Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Dates: Intern must be fully available, full time, from May/June 2019 through August/September 2019. Required Materials: Resume and transcripts must be uploaded at time of online application. Housing: Interns must provide their own housing for the duration of their internship program. Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program. About The Walt Disney Studios: For over 90 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today the Studio brings quality movies, music and stage plays to consumers throughout the world. Feature films are released under the following banners: Disney, including Walt Disney Animation Studios and Pixar Animation Studios, Disneynature, Marvel Studios and Lucasfilm. The Disney Music Group encompasses the Walt Disney Records and Hollywood Records labels, as well as Disney Music Publishing. The Disney Theatrical Group produces and licenses live events, including Disney on Broadway, Disney On Ice and Disney Live!. Ours is a culture of innovation, inspiration and collaboration that brings together visionary artists, gifted technologists and savvy business minds to conjure up magical entertainment experiences for a global audience. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Walt Disney Pictures, which is part of a business segment we call The Walt Disney Studios. Walt Disney Pictures is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you! Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations. We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment. Primary Job Responsibilities The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience. You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors. Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones. Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers. Required Skills and Experience Bachelor’s degree in a quantitative field, MS/PHD preferred Entry to mid level role. Experience in SQL, relational databases Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus Expertise in machine learning packages Python, R,SAS Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.) Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend). This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy. Qualifications Minimum Qualifications: Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus). Minimum 4 years of experience in marketing, sales or business analytics. Experience with data mining software packages such as R, PYTHON, SAS, SPLUS. SQL and statistical algorithms and modeling. Experience working with large and complex data sets. Experience in predictive modeling and machine learning algorithms. Additional Preferred Characteristics: Effective presentation/communication skills and the ability to interpret and simplify data for others. Communicate conclusions in a clear and sharp manner. Work well independently as well as part of a broad team. Innovative attitude and out-of-the-box thinking. Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel. Inside this Business Group Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide. Other Locations US, California, Santa Clara Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

This position is for a research scientist in the Assembly and Test Technology Automation organization. Specific responsibilities of the individual would be to: Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel. Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment. The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control. Stay current with the latest developments in industry and academia in the field of advanced manufacturing Drive development of novel ideas and results that would result in patents and publications Qualifications: PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics Expert in the field of applying optimization, data modeling and machine learning to solve technical problems Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++) Knowledge of and experience with open source machine learning frameworks Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning. Strong oral and written communication skills Other strongly desired characteristics: Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing Exceptional attention to details and organizational skills Inside this Business Group As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Overview Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization. An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions. Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization. Responsibilities Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions. Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team Qualifications Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred. 10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred. 5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally. Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment. Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus. Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView. Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus. Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude. Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.