Are you passionate about data AND helping patients improve their health? Consider the position of Data Scientist, where your experience in advanced analytics and modeling will directly inform how CVS Health helps patients on their path to better health. As a key member of the Enterprise Analytics Group, you will work with a variety of business partners from across the enterprise to both support the development of innovative programs to improve patient outcomes as well as reduce cost and improve efficiency across CVS Health The role of Data Scientist will primarily be responsible for developing machine learning and other advanced models that drive business outcomes across CVS.  The newly established Machine Learning and Data Science team is an interdisciplinary team of Data Scientists that partners with business groups across CVS to ideate, develop, and deploy analytic models and solutions that leverage advanced machine learning and analytics methodologies. As a member of this group you will work with a highly collaborative team to apply state of the art analytic methods to solve real world problems.  The successful Data Scientist will translate business needs into analytic questions; design and conduct rigorous analyses of clinical, financial, customer, and operational data; and translate these analytic findings into predictive models and evaluation results for our business partners. Key Job Functions Include, but are not limited to, the following: Consulting with key internal and external stakeholders to determine how best to leverage machine learning and advanced analytic methods to support business objectives across CVS Health. Able to select several potential appropriate modeling approaches for a given analytic problem (machine learning methods such as ensemble models, decision trees; operations research; statistical modeling such as multivariate techniques). Efficiently implement the models in a variety of modeling tools, achieving highly accurate models. Understands the underlying statistical concepts and computational approaches that enable efficient execution of models and may be able to design and implement modifications and enhancements to the computations. Developing sound analytic plans based on available data sources, business partner needs, and required timelines. Able to apply innovative approaches to understand and predict what will happen across the business. Managing deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs. Presenting analytic findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-analytic audiences. Required Qualifications To be considered for this exciting opportunity on the Advanced Analytics team, candidates will need to have the following experience: A minimum of 7 years of professional post-graduate experience in constructing, validating, and executing machine learning solutions. Advanced skills and training in machine learning in areas such as: Random Forest, Decision Trees, Neural Networks, Ensemble Models, Operations Research, Generalized Linear Models, Stochastic Modeling and Multivariate Analysis. Experience in translating business problems across disciplines into advanced analytic projects with measurable business value. Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications Analytics experience within the retail and/or financial services, with experience deploying capabilities across a wide range of business disciplines. Demonstrated effective project management and time management skills. A strong curiosity to explore and uncover hidden relationships in data, and a proactive desire to translate findings into actionable business insights. Fluent and recent hands-on experiences in R, Python, SAS, etc. Experience with computer development languages (Java, C++). Preferred Qualifications Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment. Recent hands-on experience with finance modeling, pricing elasticity, optimization, and value at risk (VaR) is strongly preferred. Education PhD in Statistics, Computer Science, Mathematics, Economics, or directly related field. Will also consider candidates with a Master’s degree in these fields, plus 7+ years of relevant post graduate professional paid work experience with an outstanding track record of developing and deploying advanced quantitative analytics to support business objectives Business Overview CVS Health, through our unmatched breadth of service offerings, is transforming the delivery of health care services in the U.S. We are an innovative, fast-growing company guided by values that focus on teamwork, integrity and respect for our colleagues and customers. What are we looking for in our colleagues? We seek fresh ideas, new perspectives, a diversity of experiences, and a dedication to service that will help us better meet the needs of the many people and businesses that rely on us each day. As the nation’s largest pharmacy health care provider, we offer a wide range of exciting and fulfilling career opportunities across our three business units – MinuteClinic, pharmacy benefit management (PBM) and retail pharmacy. Our energetic and service-oriented colleagues work hard every day to make a positive difference in the lives of our customers. CVS Health is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, ethnicity, ancestry, color, religion, sex/gender (including pregnancy), national origin, sexual orientation, gender identity or expression, physical or mental disability, medical condition, age, veteran status, military status, marital status, genetic information, citizenship status, unemployment status, political affiliation, or on any other basis or characteristic prohibited by applicable federal, state or local law. CVS Health will consider qualified job candidates with criminal histories in a manner consistent with federal, state and local laws. CVS Health will not discharge or in any other manner discriminate against any Colleague or applicant for employment because such Colleague or applicant has inquired about, discussed, or disclosed the compensation of the Colleague or applicant or another Colleague or applicant. Furthermore, we comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require assistance to apply for this job, please contact us. CVS Health does not require nor expect that applicants disclose their compensation history during the application, interview, and hiring process.

Disney Music Group is home to Hollywood Records, Walt Disney Records, Disney Music Publishing, Buena Vista Records, and Disney Concerts. The labels’ genre-spanning rosters include Grammy® nominated Demi Lovato, Jordan Fisher, Sofia Carson, ZZ Ward, In Real Life, Ocean Park Standoff, Breaking Benjamin, Bea Miller, Sabrina Carpenter, Joywave, Olivia Holt, Tini Stoessel, Shawn Hook, Jorge Blanco, New Hope Club, BOBI and more. DMG also releases family music and film and television soundtracks such as the chart-topping “Guardians of the Galaxy Vol. 2,” “Beauty and The Beast,” “Descendants 2,” Oscar®-winning “Coco” and “Moana” soundtracks, and the Oscar and Grammy-winning “Frozen” soundtrack. Recent soundtracks include the score from blockbuster “Black Panther” and “A Wrinkle in Time.” Coming later in 2018 is the highly anticipated “Frozen: The Broadway Musical” cast album, plus soundtracks for “Mary Poppins Returns” and “The Nutcracker and the Four Realms.” DMG recently acquired the Star Wars music catalog, featuring score by Oscar-winning composer John Williams. To stream classic Disney hits, please visit: http://disneymusic.co/DisneyHits. The industry is rapidly moving towards streaming, creating new revenue streams from marketing optimization, to personalization, to playlisting, and we're looking for someone to help us innovate and make the most of it. This role will be a key player in the development of data based products based on a variety of transactional data received from streaming and sales partners including Spotify, Apple Music, Amazon, and YouTube, and providing actionable insights based on that data. Responsibilities Be the central person for all sales and digital analytics and data projects at the Disney Music Group Identify and execute on data driven opportunities to increase revenue for the disney Music Group Point person for all sales and analytics partnerships including Shazam, MIDiA, SoundScan, BuzzAngle and our Finance department/data lake integration group Responsible for leading a team member and 3rd party contractors for the development of key tools and initiatives such as forecasting models Forecasting sales and streams across all physical, digital and streaming partners Integration of machine learning, natural language processing, SEO analysis into our strategy as it relates to relevant partners Monitoring catalog sales and opportunities Optimizing marketing spends for frontline and catalog releases Design automated reports and provide easily understandable reports to cast members of all levels throughout the company using excel, pivot tables, and other modalities Leverage SQL, Spark, Presto, and other tools to build views and tables for reporting and analysis Tap into partner APIs to create automated playlists at our various partners and analyze/interpret key performance trends Proactively identify trends at our streaming partners to take advantage and be the first in market to rollout initiatives on our branded partner profiles Drive streaming revenue growth by leveraging data to make decisions that increase overall playlist and user engagement Liaise and coordinate analytics projects with technology, research and finance teams, while prioritizing projects effectively Effectively summarize, analyze, explore, and communicate data to various departments Illustrate a passion for music with a curious, proactive, positive and detail oriented disposition Basic Qualifications Strong interpretive and analytical skills with working knowledge of data analysis and visualization tools Understanding of the underlying technology and ability to leverage APIs for data ingest and monitoring. Ability to effectively communicate with both technical and executive teams Experience working with transactional data Proficiency in Excel (Pivot Tables / VLOOKUP), Tableau, SQL, and R Working knowledge of at least one object-oriented programming language (Python, C++, Java, etc) Ability to implement supervised and unsupervised machine learning algorithms Strong presentation skills, with the unique need to communicate findings in a straightforward and easily digestible manner Basic understanding of music consumption habits and consumer behavior Excellent time management and organization skills Preferred Qualifications Music industry analytics experience Required Education Bachelor's Degree in related field or applicable equivalent work experience with at least 5-7 years of relevant work experience 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 Hollywood Records, Inc., which is part of a business segment we call The Walt Disney Studios. Hollywood Records, Inc. 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. DisneyData

No one knows the road like Agero. For over 45 years, we have provided the safest, smartest solutions for drivers and the companies that keep them moving. Headquartered in Medford, MA with operations throughout North America, we are trusted by more than 100 leading corporations and used by 75% of the new passenger vehicles sold in the U.S. As a result, we have become an industry leader, providing vehicle manufacturers and insurance carriers with privately labeled state-of-the-art roadside assistance plans and efficient claims management solutions. Our Roadside Assistance network protects more than 75 million drivers each year, providing award-winning service that helps motorists in their time of need while building customer loyalty for our clients. Our commitment to our Employees: Have an Impact : Join us and Day 1, play a role in shaping our digital transformation. Grow your Career : Our focus us helping you grow the core competencies to shape your technology career Work that Matters : We are a roadside business singularly focused on making sure our customers are quickly, safely and efficiently supported in their time of need. Agero is working with leading vehicle manufacturers, insurance carriers and roadside service providers to drive the next generation of vehicle and mobile technology forward. Our mission is to transform the entire driving experience -- and save lives in the process -- through an unmatched combination of innovative technology and human-powered solutions. These include breakthrough mobile apps designed to bring added safety and convenience to drivers everywhere. The Data Science Engineering group at Agero focuses on end-to-end algorithm development and production implementation. We get to see our solutions working on large scale (PB) datasets running through consumer facing apps in real-time, and to know that our algorithms are bringing emergency vehicles and roadside service providers to stranded drivers quickly and efficiently. We strive to stay at the forefront of both algorithm and software technology advances and are continuously expanding our skill sets as new solutions emerge. Our group is looking for new team members to help us in our endeavors make the roads a safer place to be. Your Roles and Responsibilities Research and experiment with data science technologies, discover opportunities for new data analytics features, and influence digital product and technology strategies for the company. Develop algorithms (statistical modeling, machine learning, optimization, etc.) to assess driver telematics data and gain new insights into both driver behavior / crash risk and roadside service procedures / efficiencies. Communicate research results effectively in written and spoken forms to various audiences including product management, engineering, executives, and customers. Drive algorithm implementation at scale through use of technologies such as AWS Lambda or Spark. Work in a fast-paced, team-based environment on shared code repositories. Represent the organization and advocate its data analytics efforts and capabilities using external presentations and publications. Required Qualifications 8+ years of experience or PhD in technical field. Strong skills to manipulate and clean real-world data (preferably in Python). Proficient coding skills (preferably in Python). Solid understanding of relevant theories in probability theory, statistics, machine learning, data structure and algorithms, optimization, etc. Strong skills to implement statistical modeling and machine learning algorithms (preferably in Python). Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms. Willing and able to learn and meet business needs. Independent, self-organizing, and able to prioritize multiple complex assignments. Preferred Qualifications Experience with AWS technologies including Lambda, DynamoDB, S3, EC2, Redshift. Experience using Git and working on shared code repositories. Experience with Spark / Databricks. Experience implementing and maintaining algorithms in a production environment. Meet the team and learn more about us @ themuse.com/profiles/agero