- Entry level
- No Education
- Salary to negotiate
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
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
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.
· 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
· Experience in translating business problems
across disciplines into advanced analytic projects with measurable business
· Experience with theoretical modeling approaches
and matching analytic modeling approaches to a wide range of business
· Analytics experience within the retail and/or financial
services, with experience deploying capabilities across a wide range of
· 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++).
· Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment. · Recent hands-on experience with finance modeling, pricing elasticity,
About the company
Millions of times a day, close to home and across the country, we’re helping people on their path to better health.
We’re reinventing pharmacy to have a more active, supportive role in each person’s unique health experience and in the greater health care environment—from advising on prescriptions to helping manage chronic and specialty conditions to providing quality walk-in medical care and pharmacy benefits management.
Because we’re present in so many moments, in ways that are more affordable and effective, we’re able to positively influence health behavior and shape the future of health care for people, businesses and communities.
Health is everything.
Through our more than 9,600 retail pharmacies, over 1,100 walk-in medical clinics, 75 million pharmacy benefit manager plan members, and expanding specialty pharmacy services, we enable people, businesses and communities to manage health in more affordable, effective ways. This unique integrated model increases access to quality care, delivers better health outcomes, and lowers overall health care costs. We leverage our unique combination to help payors control costs, improve patient access, and promote better health outcomes in a way that no other company can.