We are hiring a Manager of Business Analytics for our Risk Department! Summary The Manager of Business Analytics for our Risk department will have a high-profile role in a high impact team.  The primary role will be to design and lead an analytics function, developing and guiding a team of analysts to perform empirically derived analysis to understand operational and business performance, identify improvement opportunities, and develop strategies. This position offers growth opportunities for someone who is passionate about analyzing and monitoring business performance, making data-driven decisions, and testing and optimizing strategy.  This position will be located at our corporate headquarters in South Carolina. Responsibilities in your area will include: Hands - on model developer as well as a leader and mentor in the department. Development of statistical models such as credit risk scorecards, behavior scorecards, collections models, statistical forecasts, resource allocation etc. Responsible for the development of statistical models that drive company processes such as sales, underwriting, funding, pricing, servicing, and finance. Test and implement models and data infrastructure used to execute strategy. Actively monitor the performance of models in production. Analyze data to drive better business decisions. Develop complex programming to extract and manipulate data. Who Are We Looking for? Our ideal candidate for this role needs to: Have knowledge of modeling tools and methods, such as logistic regression. Able to apply analytical skills to solve problems creatively. Act promptly and effectively when assigned tasks. Able to communicate complex information to others in a way they can understand. Work well with others in a team environment. Be proactive and make recommendations as opportunities arise with minimal supervision. Position Qualifications Excellent professional and academic credentials Master's or Ph.D. in a quantitative field such as statistics, mathematics, economics, analytics, decision science, etc. 4+ years of experience developing predictive models 2+ years of people management experience 4+ years of experience in programming language Expert knowledge of SQL and relational databases. Expert knowledge of Microsoft Excel and PowerPoint. Ability to confidently interact with senior business leaders. Remain compliant with our policies, processes and legal guidelines. Work onsite at the required American Credit Acceptance in Spartanburg, SC Preferred Qualifications: Advanced R programming Experience in the consumer lending industry, with some preference given to automobile finance experience. Experience leading direct reports. American Credit Acceptance offers team members: Extensive growth opportunities as demonstrated by our track record of promoting internally An atmosphere that is collaborative, challenging, and filled with forward thinking team members Ongoing business training and career development opportunities Strong work-life balance with generous PTO Competitive market-based salary Excellent benefits package that includes 401(K) match, quarterly paid time-off for community volunteer activities, tuition reimbursement, comprehensive medical/dental/vision along with additional benefits that make us a great place to work American Credit Acceptance is an equal opportunity employer

The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We’d like you to join the Data Services and make the magic happen through a different kind of story. Come innovate using data and technology to let our filmmakers, producers and countless others deliver. Responsibilities Empower the business - Support the business to unearth data, transform data, access data, and understand data. Create high quality software - Use agile techniques to build software and platforms; for example recommendation engines, analytics engines, advertising engines. Command data - Leverage petabytes of data, data mining, statistics, machine learning, deep learning, open source, orchestration tools, NoSQL, Apache Spark, and Apache Kafka. Collaborate - Work with developers, analysts, data scientists, programmers, marketers, filmmakers, finance, project management, product management and leaders to deliver amazing results Basic Qualifications XP - 5+ years of programming experience and 3+ years of data pipeline experience. Speak the language - Be willing to create prose with at least two of Java, Kotlin, Scala, SQL, and Python. Know which to use for the time & purpose. <3 data - Hypothesize, discover, collect, iterate and prove. Achievement Unlocked: Inquisitive, Determined, Scholar - Be up for the challenge. #algorithm and #datastructures fanatic – Know distributed, parallel and probabilistic algorithms and data structures. Build > buy - Know the power of seeking out and putting together the right open source into a highly flexible and cohesive system instead of purchasing a solution that delivers a portion of the need, stops you from delivering the rest and ties you to your pricey investment Preferred Qualifications Substantial equivalent research oriented analytical work experience preferred Required Education B.S. in Computer Science, Mathematics, Engineering or a Physical Science from an accredited institution. 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.

Overview The Data Scientist II mines and analyzes complex data sets using advanced statistical methods for use in data driven decision making. The Data Scientist II assists in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives. Responsibilities Job Duties Performs research, analysis, and modeling on organizational data Assists in analyzing key metrics and performing data analysis Builds technical knowledge to support research and analytic responsibilities Assists in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Provides findings and analysis for use in decision making Ensures that the delivered products meet the business needs of the company Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership Qualifications Knowledge Ability to identify and understand business issues and map these issues into quantitative questions Efficiently work with large datasets Ability to design and implement model documentation and monitoring protocols Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques Skills MS Office required Python, R, and SAS programming required Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management Ability to identify and seek needed information/research skills Analytical thinking skills Ability to interact collaboratively with internal and external customers Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure Problem/situation analysis Education Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required Experience 3-5 years as a Data Scientist required Work Conditions Normal office environment