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.

This position will have a key role on the Retail Analytic and Data Strategy team! In this position, you will lead requirements gathering, data analysis, end to end quality and user acceptance testing planning and coordination. You will represent the data strategy team as business owner of final implementation of data integration projects with focus on Retail Pharmacy Data. Responsibilities include Defining project scope based on the roadmap and work with IT to implement the data solutions; Providing end user support for our core subject domains in the Enterprise Data Warehouse and/or data lake; Working directly with internal and external customers in answering data and query inquiries as well as educating customers on the proper use of the data; Using your excellent problem solving skills to troubleshoot data issues and potential impacts. Solid organizational skills with focus on accuracy and attention to detail. Required Qualifications Minimum 5 years of analytical expertise within the healthcare industry along with experience in Data Analytics, Application Integration System Architecture of Large Data Warehouses, Information management strategy/data management strategy; Dimensional Modeling experience, Physical Database Design experience and creation of Semantic Layer. Experience managing large projects and interaction with Business Users, Business and IT Leaders and IT technical staff. Experience working directly with business partners or clients in developing data use cases and business process mapping. Data analysis and analytical skill, reporting tools experience (eg, Microstrategy or Tableau), strong SQL skills, working knowledge of at least one data lake access language including but not limited to Java, Python, Scala, etc. Analytical assessment experience to propose data roadmap for data lake and/or data warehouse depending on the business application as well as process improvements within existing systems. Experience in building analytical tools that support data scientists and/or the every-day business user and understanding the different data needs by end-user type. Preferred Qualifications Possesses a basic understanding of development methodologies like waterfall and agile. A solid foundational knowledge of software development lifecycle a plus Possesses the ability to program in a variety of languages (Python, Java, Scala, SQL, SAS, R, VBA, etc.) Ability to effectively write, interpret, and debug SQL with a thorough understanding of the processing and storage quirks of the DBMS on which the code is being executed – ie, at least one of the following data management systems: Teradata, Oracle, MariaDB, SQLServer, etc. Ability to execute UAT strategy and requirements to meet business objectives Maintains appropriate documentation/comments in code and documents such as a data dictionary and/or ERD. Provides inputs into acceptance testing and is able to define and execute regression testing Has a thorough understanding of security needs and how to apply it at an application or data level. Capable of modifying existing software to correct errors, adapt to new hardware, or to improve its performance. Retail, retail pharmacy and/or PBM experience is a plus Education BS in MIS/ Related Field, or Mathematics/Statistics or related field. MS or MBA preferred 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.

We’re looking to add a detail-oriented, methodical, and collaborative data analyst to our growing team of driven professionals. We need someone who is willing to role up their sleeves and help take us to the next level. As a data analyst, you will play a key role in our organization. Your primary goal will be to leverage data and communicate your findings to help us make smarter, data-backed business decisions. A large portion of the job is sourcing data and finding data. Experience working in a manufacturing environment is a plus! This is a brand new position so you must be comfortable coming in and developing the role. Data Analyst Job Duties and Responsibilities Analyze data using statistical methods. Create reports to share your findings and recommendations with the internal team and other stakeholders. Collaborate with leaders and managers to determine and address data and reporting needs for various company projects. Create statistical models that depict company-wide trends. Perform testing and validation of data sets. Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes. Document structures and types of business data. Data Analyst Job Requirements and Qualifications Bachelor’s degree in mathematics, statistics, computer science, information technology, or related field. Ability to identify useful information in data sets and suggest conclusions that support decision making. Strong analytical capabilities. Expert with Microsoft Excel and various business intelligence and analytical tools. Understanding of data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques. Communication skills with the ability to distill complex subjects to a wider audience. Excellent leadership, collaboration, and project management skills. Keen attention to detail. Comfortable working with minimal supervision Willingness to make decisions and solve problems. At least 5 years of experience in a data analyst role Experience with Weka, KNIME or QlikView required

BAMTECH Media is a place for the creative and the bold. We’re seeking talent across disciplines to join our team. Whether New York City, San Francisco, Manchester or Amsterdam we provide opportunities to elevate your career and transform an industry. BAMTECH is a leading technology services and video streaming company owned by The Walt Disney Company, MLBAM, and the National Hockey League. Our proprietary technology provides direct-to-consumer video solutions, especially for live events with high viewership, offering viewers high-quality visuals any time and on any device. As part of BAMTECH Media’s Analytics team, this person will own the implementation lifecycle process across all our apps and partners, including The Walt Disney Company, ESPN, MLB, NHL, WWE, PGA Tour, Fox Sports, Hulu, and Riot Games/League of Legends. This role requires acute attention to detail, a strong sense of accountability, collaboration skills, and extensive hands-on experience as you directly contribute to the success of our digital analytics strategy, including data collection, reporting performance, measurement opportunities, and the integration of data across our platform. Responsibilities Implementation and maintenance of BAMTECH’s digital analytics tools, including Adobe Analytics, Google Analytics/Firebase Analytics, Adobe Target, Localytics, Branch, and Conviva Pulse. Work with analysts, developers, business owners, and partners to understand their analytics needs and reporting requirements. Design and maintain tracking solution documents based on stakeholder requirements for multiple platforms, including websites, mobile apps, and connected devices. Perform data quality audits, QA tags, identify data collection issues, suggest improvements, and implement fixes. Work with Analytics Manager/Project Manager to identify project risks and define exit criteria for each testing cycle. Perform regular quality assurance and testing post-implementation to guarantee sustained performance across our apps. Basic Qualifications Ability to succeed in a fast-paced, entrepreneurial environment including the organization skills required to manage multiple projects simultaneously. 2+ years of experience implementing and maintaining Adobe Analytics and/or Google Analytics on websites, mobile applications, and OTT platforms. Proficiency with data analysis tools, including hands-on knowledge working with data layers such as tag management systems to expose user events and actions on webpages. Experience with front-end web development technologies (JavaScript, HTML, CSS, JQuery). Experience with ticketing systems like Jira or Workfront. Experience with database structure and queries (SQL) is a plus. Experience using Charles Proxy, Fiddler, Bloodhound or other equivalent tools for debugging JavaScript calls.  Ability to manage multiple tasks while in a very fast-paced and deadline-driven environment is essential. Excellent communication and organizational skills. Preferred Qualifications Experience implementing A/B testing tools such as Adobe Target and/or Localytics is preferred. About BAMTECH Media BAMTECH is a streaming technology joint venture between The Walt Disney Company, Major League Baseball Advanced Media, and the National Hockey League. BAMTECH handles streaming for numerous partners, some of which include, HBO, MLB, NHL, Eurosport, ESPN, and World Wrestling Entertainment. Fans demand access to content on their own terms on any device, anytime, anywhere. We are those fans. As a result, the BAMTECH Media team helped pioneer live event streaming over the Internet in 2002 for Major League Baseball. The passion to improve that experience led to many impressive firsts: the first 720p or “HD Ready” stream, the consecutive record for concurrent streams and the first stream in 8K ultra HD. Today, BAMTECH has a proven, scalable platform that powers direct-to-consumer applications for leading entertainment brands; and is now a major player in sports and eSports rights acquisition. 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 BAMTECH, LLC, which is part of a business segment we call BAMTECH Media. BAMTECH, 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.

 The NIH is the center of medical and behavioral research for the Nation ----making essential medical discoveries that improve health and save lives.  The National Institutes for Health is looking for an experienced leader to harmonize its broad data science portfolio using cutting-edge approaches, deliver a national, next-generation technology platform to accelerate scientific discovery, and create an innovative 21 st Century data ecosystem to make cures happen faster.    This is an exciting opportunity to drive enterprise-level efforts and game changing ways to collect, analyze, and use vast amounts of genomic, imaging, and electronic health data for one of the preeminent research institutions in the world.  As the NIH Chief Data Strategist, you will oversee a newly formed office within the NIH Office of the Director – the Office of Data Science Strategy – charged with orchestrating a broad range of initiatives and projects that align with NIH’s strategic plans, catalyzing the use of new technologies and methods to gain deeper insights from NIH’s vast data resources, and maturing competencies and capabilities of the biomedical research workforce to capitalize on new ways of working with large-scale, biomedical data and analytic tools.  In this role, you will be engaged with exciting data intensive research programs such as the All of Us Program, BRAIN Initiative, Cancer Moonshot, and Opioid Initiative and serve as NIH’s advocate and representative in global data science efforts.  Successful candidates will have extensive experience in data science and data management disciplines and demonstrated success in full life cycle experience from planning to delivery and management of enterprise-level data and service platforms and solutions.  Outstanding communication and executive leadership skills are required.  In addition, strong program management and relationship building skills are essential to deliver multiple, interdependent initiatives that span many stakeholders.  Candidates with industry experience are welcome.  We are looking for applicants with senior-level experience who have a commitment to excellence and the energy, enthusiasm, and innovative thinking necessary to lead a dynamic and diverse organization .  The successful candidate for this position will be appointed at a salary commensurate with his/her qualifications. Full Federal benefits will be provided including leave, health and life insurance, long-term care insurance, retirement, and savings plan (401k equivalent). Please contact Brenda Fogel at 301-451-7338 for questions and/or additional information. Initial application rating and review cut-off is July 9, 2018, applications will be accepted until the position is filled. THE NATIONAL INSTITUTES OF HEALTH AND THE DEPARTMENT OF HEALTH AND HUMAN SERVICES ARE EQUAL OPPORTUNITY EMPLOYERS

Hopefully the job template doesn’t sound overwhelming. We are hoping to hire the right junior level person into the role and help them grow their career as we grow our business. Our hopes for the position are as follows: Analytical, detail-oriented, organized, and insightful. A self-starter and a trusted advisor to marketing and executive team. We are looking for an entry-level individual who has some of the basics down and wants to eventually grow their career in website analysis and search engine marketing. As you grow into the position our expectations are that you would complete several courses, such as: Google Adwords Training Course – Pay-per-click (PPC), Google Analytics Academy (Beginners, Advanced, Google Tag Manager, and Ecommerce Analytics), SEM Rush training, and learning basic knowledge in HTML and CSS.  Within the next few years of growth we would expect you to go from trainee to subject matter expert working closely with positions like Director of Search Engine Optimization, Social Media Manager, UI/UX Specialist, Financial Analyst, and various members of the Product and Technology Teams. Once you become proficient of your assigned responsibilities, we want you to continue training and keep current with trends in your field. Eventually you must be able to do all necessary work to tie all web properties properly with Google Analytics to optimize measurement and tacking of traffic patterns, consumer online behavior, e-commerce, and marketing performance. Lastly, possessing an in-depth knowledge of Google Analytics will be an absolute must.  The Opportunity The Digital Marketing Analyst should actively use numerous web measuring tools and new technologies including Google Analytics, SEMRush, and others. S/he will also be very familiar with the online marketing ecosystem: SEO, SEM, PPC, Web 2.0, etc. Implementation Task: Carefully review and assess all web analytics, coding and tracking of company links. Develop and execute plan to clean up, rebuild, and/or restructure all web analytics pertaining to website traffic behavior and all marketing channels. Google Tag Manager tracking code implementation experience is strongly preferred. Traffic Analysis: Thorough and constant analysis of all sources of traffic, trends, efficacy and efficiency, ultimately help optimize traffic that generates conversions by generic origin (search, social media, links, affiliates, etc.) and by specific origins (Google, Yahoo!, Bing, etc.). Strong emphasis on SEO and SEM analysis. Manage paid media (SEM, display, Facebook ads, etc.) budget to best optimize ROI.  Build upon and manage large scale mailing list and templates via MailChimp. Website Analysis: In-depth understanding of website customer experience, bounce rates, A/B testing, average time spent, page views, unique users, repeat users, sales funnel, ultimately help optimize traffic to grow overall conversion rates. Social Analysis: Collect data from various social media tools and platforms and synthesize to provide a cross channel view of social media efforts. Measure, track, and evaluate brand and category commentary, social sentiment, trends, keywords, etc. using diverse buzz marketing tools. Specific Tasks Include: Insights: develop valuable insights based on the findings, not just the numbers. KPIs: understanding the correlation among the most important variables. Conversion Rates: analyze and dissect sales funnel, drop-off areas, and how, who, and where customers are converted. Reports: monitor, measure, evaluate and prepare reports on key conversion metrics and KPIs for marketing and other company departments as needed.  Basic Requirements Bachelor’s degree preferably in Marketing, Mathematics, or Statistics. Between 1 – 3 years of web analysis experience, familiarity with search engine marketing. Strong work ethic and integrity. Strong analytical, prioritizing, interpersonal, problem-solving and planning skills.  Strong verbal and written communication skills.  Demonstrated collaborative skills and ability to work well within a team.  Ability to work with and influence peers and senior management.

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