20 days old

Director Data Science - Machine Learning/Artificial Intelligence

CVS Caremark
Woonsocket, RI 02895
**Job Description**

Combining CVS Health and Aetna was a transformative moment for our company and our industry, establishing CVS Health as the nations premier health innovation company. Through our health services, insurance plans and community pharmacists, were pioneering a bold new approach to total health. As a CVS Health colleague, youll be at the center of it all.


Our data science team is innovate, collaborate, and high-energy with a passion for data, attention to detail, and a positive attitude in development of the company's state-of-the-art, advanced analytical machine learning models, and optimization techniques to lead the transformation of our ExtraCare program into a world-class personalization and loyalty program. This is a team of experts in data science, machine learning, artificial intelligence, software engineering and responsible building the customer personalized engine and multi-level reward programs based on purchase preferences; conducting hands-on analysis on customer and campaign data and uncover insights in customer behavior and business profitability. With over 10,000 Retail locations and +70M active ExtraCare members this is a top initiative within the company and we have a team dedicated to recruiting the best talent in the world to help propel us to this goal. The company has invested in state-of-the-art cloud infrastructure and scaling of our loyalty program, now we are focused on optimizing how we communicate with our customers. We are looking for the best and brightest to add to our existing Analytics team and help deliver on this initiative.


The Director is responsible for growing and developing the data science team who analyze large data sets, build scalable and automated machine learning algorithms, and optimization techniques to implement analytical solutions. As CVS continues on its journey to deliver our customers 1:1 personalized experiences through multiple channels you will be a strong executor, as well as a technical authority interacting closely with business partners to understand the business goals, communicate vision and roadmap, and ensure delivery of relevant solutions for the business while growing a team culture of research, testing, learning and innovation. The director will have unique opportunity to work with massive business and the data generated by CVS's unparalleled online and offline systems for researching, and brainstorming with internal and external stakeholders applying the machine learning/artificial intelligence techniques including but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, and unsupervised learning to design and prototype robust and scalable analytical models.


Key Responsibilities

Design and build machine learning modules to implement predictive & prescriptive analytical solutions in areas such as customer loyalty prediction, customer personalized engine recommendations, customer segmentation and profiling, audience targeting, offer optimization, retention analysis, churn assessment, and product recommendation

Design and build personalization engines/learning systems that react to changes in customer preferences using advanced machine learning and statistical techniques

Research and brainstorm with internal stakeholders to identify advanced analytics opportunities to advance automation, help with knowledge discovery, support decision-making, gain insights from data, streamline business processes, and enable new capabilities

Perform hands-on data exploration and modeling work on massive data sets. Perform feature engineering, train the algorithms, back-test models, compare model performances and communicate the results

Evaluate effectiveness of existing merchandising, marketing & promotional strategies and make recommendations for future optimization

Work with senior leaders from all functions to explore opportunities for using advance analytics

Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals

Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies

Guide the work of other data scientists to provide support and assistance, while also ensuring quality

Provide thought leadership by researching best practices, extending and creating new machine learning and statistical methodologies, conducting experiments, and collaborating with cross functional teams

Develop end-to-end efficient model solutions that drive measurable outcomes. Manage the model development lifecycle, including both working with data engineers and IT partners to identify what data are needed, and training the business end-users on how to leverage the modeling output


**Required Qualifications**

10+ Years of experience in solving complex business problems and delivering scalable data science/machine learning/artificial intelligence solutions as part of an automated pipeline

6+ years leading large teams of Data Scientists and significant experience in hiring, building, coaching, and growing a team of data scientists and machine learning engineers

Experienced in statistics & analytical modeling, time-series data analysis, forecasting modeling, machine learning algorithms, and deep learning approaches and frameworks. Have a proven track record of delivering robust, scale and quality data analytical applications in a cloud environment.

Minimum 5+ years of working knowledge and Demonstrated hands-on experience with machine learning stacks such as Python, R, Spark, Hadoop, AWS, AzureML, CUDA/GPU

Strong working technical skills on machine learning/artificial intelligence. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning

Solid understanding and hands on experience working with big data, and the related ecosystem, both relational and unstructured.

Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational - SQL, NOSQL databases

Experience working in an agile environment with iterative development & business feedback

Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations

Comfortable with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions

Excellent problem-solving skills with ability to synthesize & communicate complex results to senior leaders. Attention to detail with focus on data quality, data consistency and criticality

Ability to shape ambiguity, govern & prioritize in a matrixed environment across organizational boundaries

Excellent written and oral communication and presentation skills, with the ability to tailor the communication style to the right audience, from the analytic professional to executive leaders.


**Preferred Qualifications**

1. Management consulting experience a plus

2. Understanding of the healthcare administration landscape and CVS Health business model, ideally in customers 1:1 personalized experience and loyalty programs

3. Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning


**Education**

Masters degree in Economics, Statistics, Mathematics, Computer Science or directly related field.

PhD preferred


CVS will sponsor for this position


**Business Overview**

**Its a new day in health care.**


Combining CVS Health and Aetna was a transformative moment for our company and our industry, establishing CVS Health as the nations premier health innovation company. Through our health services, insurance plans and community pharmacists, were pioneering a bold new approach to total health. As a CVS Health colleague, youll be at the center of it all.


We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.


CVS Health is an equal opportunity/affirmative action employer. Gender/Ethnicity/Disability/Protected Veteran we highly value and are committed to all forms of diversity in the workplace. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. We comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf and EEO IS THE LAW SUPPLEMENT at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm . We provide reasonable accommodations to qualified individuals with disabilities. If you require assistance to apply for this job, please contact our Advice and Counsel Reasonable Accommodations team at mailto:AdviceCounsel@cvshealth.com . Please note that we only accept applications for employment via this site.


If technical issues are preventing you from applying to a position, contact Kenexa Helpdesk at 1-855-338-5609 or cvshealthsupport@us.ibm.com . For technical issues with the Virtual Job Tryout assessment, contact the Shaker Help Desk at 1-877-987-5352.

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Posted: 2019-10-31 Expires: 2019-12-18

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Director Data Science - Machine Learning/Artificial Intelligence

CVS Caremark
Woonsocket, RI 02895

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