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Data Scientist
at Aetna
Wellesley, MA

Data Scientist
at Aetna
Wellesley, MA

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Description

Description:

About the team.
The newly formed Clinical Products
data
science team helps supercharge CVS-Aetna’s clinical programs to improve member
health and lower costs.Given CVS-Aetna’s
size, scope, and deep set of capacities, CVS-Aetna is an unparalleled platform
to make a difference in healthcare in the US and beyond.The Clinical Products team has three main
goals.First, CVS-Aetna is launching a
series of clinical programs that use the resources of the combined CVS-Aetna,
and our team delivers the advanced analytics to support those initiatives.Second, the team develops data-driven
clinical recommendations that are delivered to members, their providers, and
their caregivers.Finally, we build
condition-specific models that help other parts of the company (e.g. pricing)
better predict member care journeys.



About the position.
A Data Scientist will join the newly formed Clinical Products team and
support, end to end, one or more of the team’s three objectives.A Senior Data Scientist will build predictive
models, work with clinical experts (e.g. doctors) to translate their subject
matter expertise into machine learning models, extract and manipulate data from
multiple large data sources, and present her / his work to technical and
non-technical stakeholders.A Senior
Data Scientist will also use the results of AB testing to improve the
performance of the team’s statistical modeling and targeting.A Senior Data Scientist may also be involved
in putting her code into production.



Culturally, because we are a new team, we are looking for
candidates who embrace the “explorer” mindset of asking questions, iterating
quickly, being comfortable pivoting intelligently, and moving fast.



Fundamental Components:


·
Develops and/or uses algorithms and statistical
predictive models.




·
Brings clinical insights to inform predictive
models: is comfortable reading academic clinically oriented literature and
collaborating with clinical subject matter experts to inform predictive models.




·
Performs analyses of structured and unstructured
data to solve multiple and/or complex business problems using advanced
statistical techniques and mathematical analyses and broad knowledge of the
organization and/or industry.




·
Collaborates with business partners to
understand their problems and goals, develop predictive modeling, statistical
analysis, data reports and performance metrics.




·
Develops and participates in presentations and
consultations to existing and prospective constituents on analytics results and
solutions.




·
Interacts with internal and external peers and
managers to exchange complex information related to areas of specialization.




·
Use strong knowledge in algorithms and
predictive models to investigate problems, detect patterns and recommend solutions.




·
Use strong programming skills to explore,
examine and interpret large volumes of data in various forms.



Background Experience:


·
2 or more years of progressively complex related
experience.




·
Demonstrates proficiency in most areas of mathematical
analysis




·
Strong knowledge of advanced analytics tools and
languages to analyze large data sets from multiple data sources.




·
Anticipates and prevents problems and roadblocks
before they occur.




·
Demonstrates strong ability to communicate
technical concepts and implications to business partners.




·
Clinically oriented background or professional
experience is a plus.



Potential Telework Position: No Percent of Travel Required: 0 - 10% EEO Statement: Aetna is an Equal Opportunity, Affirmative Action Employer Benefit Eligibility: Benefit eligibility may vary by position. Click here to review the benefits associated with this position. Candidate Privacy Information: Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

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