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Job Description:
Aetna's Medicare Business Intelligence Center of Excellence team supports the Medicare organization by embedding deep analytical insights into key decision processes and focusing on variety of complex business problems. We use advanced analytics, machine learning and business intelligence tools to generate actionable insights by leveraging big data within a cutting edge environment. Were focused on creating new opportunities that drive change in areas such as Medicare stars, Service Operations, Medication Adherence, Market Enablement, Population Health Management, Member Experience, DSNP (Dual Special Needs Population) and Retention
Our two Lead Data Scientists will manage and is responsible for the successful delivery of the algorithms, statistical models and reporting tools to meet business needs supporting our Medicare Stars business. Acts as the analytic team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives.
Opportunity can be work from home or office based depending on location. Willing to consider candidates based on your location across the US.
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Stanley Black And Decker
Posted 1 week ago
VIEW JOBS 12/3/2019 12:00:00 AM 2020-03-02T00:00 Job Description About Stanley Black & Decker Joining the Stanley Black & Decker (SBD) team means joining one of the world's largest, fastest-growing, and most dynamic companies. SBD, a Fortune 200 company is a world-leading provider of tools and storage, commercial electronic security and engineered fastening systems, with unique growth platforms and a track record of sustained profitable growth. We have been globally recognized as one of the most innovative, sustainable, and rewarding companies in the world. Stanley Black & Decker has created this state-of-the-art manufacturing incubator to accelerate its global Industry 4.0 "smart factory" initiative across the entire organization. The 23,000-square foot facility will serve as a hub for the latest advancements in IoT, cloud computing, artificial intelligence, 3-D printing, robotics and advanced materials. This team will set the overall vision and strategy for the company's Industry 4.0 initiative and supply the resources and expertise necessary to serve as the epicenter for the latest technologies and processes with respect to Industry 4.0. Summary This is an exciting opportunity for a talented Data Scientist to join our Center of Excellence team, which is delivering innovative solutions for our 115 factories worldwide. You will help the team develop and deliver scalable solutions across a number of value driving use cases. The ideal candidate will possess a blend of computational science skills and software engineering experience, together with good communication skills and experience of delivering analytics projects in a manufacturing environment. You will have experience of applying machine-learning and data science solutions at scale. Responsibilities * Leverage experience and domain knowledge in manufacturing processes and databases to help identify and define manufacturing analytics opportunities * Develop and deliver manufacturing related analytics projects; ensure on-time delivery of quantifiable project benefits * Collaborate with Data Operations and Manufacturing IT to identify and acquire access to necessary data * Communicate analytics results with plant management and other key Industry 4.0 stakeholders Essential Skills & Experience * Master s or PhD in Engineering, Data Science, Computer Science, Mathematics, Statistics, Business, or other related technical and business fields. * 5+ years of experience in manufacturing and/or Analytics. Familiar with manufacturing processes and operations. Experience in industrial product manufacturing preferred * Capable of translating real-world manufacturing engineering problems into analytics formulations and interpreting analytics results with non-analytics business partners * Demonstrated track record in project development, management, and implementation * Strong collaboration and communications skills, ability to engage with both upper management and peers * Experience and interest in recent development in Data Analytics and Big Data applications in Manufacturing such as Industry 4. 0 or Industry Internet of Things (IIoT) is highly desired * Experience with big data technologies such as Spark, Hadoop, Map/Reduce, Hive, etc * B. S. in Engineering, Computer Science, Mathematics, Statistics, Business, or other related technical or business fields * 3+ years of experience in one or more of the following areas: 1) machine / deep learning, 2) advanced econometrics / statistics, 3) optimization / mathematical programming * 2+ years of experience in any of the following languages: R, Python, MATLAB, Java, Scala, Julia, C/C++/C# #Elu#LI-GK1 All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic. Stanley Black And Decker Hartford CTXL Group
Posted 3 days ago
VIEW JOBS 12/10/2019 12:00:00 AM 2020-03-09T00:00 AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable – enabling AXA XL's executive leadership team to maximize benefits and facilitate sustained competitive advantage. Our Chief Data Office also known as our Enterprise Data Solutions team (EDS) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model – disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Senior COE Lead for our Data Delivery Center of Excellence (COE). The role sits across the Enterprise Data Solutions Department to ensure Project delivery to our customers to identify how their current or planned projects map to our data strategy. In addition, manages the team of Delivery Leads. Success in the role will require focus on delivery of the Projects, how the delivery leads run the projects, growth of the Delivery Leads, and communication inside and outside the program. What will your essential responsibilities include? * Responsible for an enterprise data projects driving foundational, strategic and disruptive solutions which today is comprised of 18 workstreams that connect the Data Ecosystem and Engagement Platform supporting all functional area across the insurance value chain * Contribute to the overall planning, estimating and timelines of all driving foundational, strategic and disruptive data solutions * Align with the Resource Capability and Design COE to ensure all X-Treme Teams are staffed appropriately * Development, refinement, training, communications and governance to customized project implementation methodologies and best practices delivered though the Dynamic Digital Design approach * Responsible for Weekly, Monthly, Executive and Stakeholder progress communications including ensuing awareness of all projected related blockers and associated resolvers * Navigate all teams through the end to end delivery model via the Data Ecosystem and Engagement Platform, all Centers of Excellence, EDS Leadership and X-Treme team concepts * Directs the management of the Data Delivery COE and is responsible for the organizational design of the function, staff development, career paths and culture * Creates the best practices and standards for the Data Delivery COE to ensure there is a consistent approach to Project Execution * Collaboration across the EDS Department and other areas of the AXA XL Organization * Drive the execution to enable company-wide goals to become a data driven organization You will report to Business Data Solutions Head. We're looking for someone who has these abilities and skills: * 5 years of leadership experience, leading programs/projects or colleagues * Bachelor or Master's degree is preferred * 8-10 years of experience in a data role supporting multiple specialty areas of Data Management preferably in the Insurance industry and within a data division * Authorizes exceptions to policies as delegated and is responsible for directing quality and process improvements * Excellent presentation, communication (oral & written), and relationship building skills, across all levels of management and customer interaction * Ability to take ownership, work under pressure, and meet deadlines * Passion for data and experience working within a data driven organization * You care about what you do, and what we do * Passion and drive to change property and casualty insurance for the better * Ability to manage an individual project(s) while being able to understand the broader program perspective * Ability to work with team members across the globe and across departments XL Group Hartford CTThe Hartford
Posted 2 weeks ago
VIEW JOBS 11/28/2019 12:00:00 AM 2020-02-26T00:00 Sr. Data Scientist Personal Lines Data Science - Auto Overview of the Position The Personal Auto Data Science Team is a multi-functional, entrepreneurial team that provides analytical solutions to The Hartford's Personal Lines Product Organization. With stakeholders in the Underwriting, Pricing, Reserving, Product and Marketing functional areas, the team is uniquely positioned to understand and respond to opportunities across the insurance value chain. The team has members with various backgrounds and relishes the opportunity to perform advanced and sophisticated analyses Our Data Scientists create a best in class modeling and analytics approach within the data science community. As a Data Scientist for personal auto, there is a focus on developing analytic and predictive modeling solutions that influence product pricing and underwriting. This includes the exploration, creation, and support of these assets over time, encouraging customer adoption and establishing a rhythm within the data science community. Generalized linear models are a major technical component of this role, along with the use of other machine learning methodologies, including but not limited to gradient boosting, random forests, and neural networks. The ideal candidate will also be familiar with common data visualization techniques and will have the ability to communicate key data-related findings to business partners of varying technical backgrounds. Responsibilities * Mentor other Data Scientists to develop, test, validate, and maintain robust tools using supervised and / or unsupervised techniques through new products and services, customer segments, and competitive strategies. * Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset. Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations. * Review work with partners on an ongoing basis to calibrate deliverables against expectations. * Help identify long term opportunities within the customer journey through the creation of algorithms and machine learning techniques to achieve financial objectives and solve problems. * Advance the departments capabilities by creating and deploying long term tools to continually evolve the business. * Participate in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage. * Contribute to the development of strategies to achieve targeted business objectives. Follow through to ensure successful conclusion. * Accountable for long term ownership of models developed and evolution of those models as assigned. * Support and assist in evolving the processes used to develop and enhance our business needs. * Support and model a high-performance collaborative culture. * Begin developing a broad knowledge of The Hartford's formal and informal structures, business processes, and data sources beyond your immediate area of expertise. * Remain current on research techniques and become familiar with state of the art tools applicable to your function. * Begin presenting complex modeling to decision-makers that maximizes knowledge transfer and bottom-line impact of modeling results. * Perform data mining and transforms raw data into actionable business information. * Apply economic, quantitative, and statistical skills in the development of models to drive profitable growth, fight fraud, and make sound business decisions. * Estimate the economic impact of operational decisions. * Analyze business data to provide insight and business recommendations. * Promote analytics opportunities of the company with customers and business partners. * Participate in the talent management process for hiring, onboarding, training and development of staff as needed. * Collaborate with your leader to provide timely feedback on development and opportunities for staff you are mentoring. * Suggest and participate in training opportunities for research staff and others in the organization. Experience & Skills * Master's or Ph.D. in Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics or other similar analytical field * 5 years of relevant experience in Research Function in Insurance or Financial Services or related field. * 5 years computer programming experience, R or Python * 5 years of experience in statistical modeling or analysis required * Experience in pricing and/or building generalized linear models highly preferred * Experience with geospatial modeling and related software a plus. Technical/Functional Skills * Subject matter expertise in data modeling. * Strategic thinking and analytical capability. * Strong verbal/written communication skills. * Ability to translate complex technical topics into business solutions and strategies. * Experience executing change to core business processes through the innovative use of quantitative techniques. * Project management experience a plus. Competencies * Drive and commitment to what is necessary to get the job done efficiently, thoroughly, and professionally. * Innovative. Seeks new and creative ways to approach analytical exercises and development projects. * Results-oriented. Demonstrates a sense of urgency and accountability for business issues. * Customer focused. Builds effective relationships with internal partners, including claims, actuarial, underwriting, operations, and information technology Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age The Hartford Hartford CTAetna Inc.
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