at AmerisourceBergen
Full TimeOur team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!
Summary:
The Enterprise Data and Analytics group at Cencora is looking for a Data Scientist-I interested in working with data to answer questions about sourcing, pricing, and distributing pharmaceuticals across the United States. Individuals within the Data Scientist role work closely with business stakeholders, Analysts, Data Engineers, Data Visualization Specialists and other team members to turn data into critical information and knowledge that can be used to make sound organizational decisions. They need to be creative thinkers and propose innovative ways to look at problems by using data mining (the process of discovering new patterns from large datasets) approaches across a wide range and variety of data assets. They will need to validate their findings using an experimental and iterative approach. Also, Data Scientists will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts.
Work Complexity:
Designs experiments, tests hypotheses and builds analytic models.
Conducts data analysis and designs and develops moderately complex analytic algorithms.
Business Requirements:
Works with business stakeholders and others to identify the business requirements and the expected outcome.
Helps model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions.
Gains knowledge of internal and external data sources and business data domain expertise.
Data Requirements:
Collaborates with subject matter experts to select relevant sources of information.
Translates business requirements into semantic access, conceptual, logical and/or physical data models.
Analytics:
Works with others to solve client analytics problems and documents results and methodologies.
Performs experimental design approaches to validate findings or test hypotheses.
Validates analysis by comparing appropriate samples.
Employs the appropriate algorithm to discover patterns.
Educational, Skillset Qualifications:
Bachelor’s degree in mathematics, statistics or computer science or related field.
Typically requires at least one (1) or more years experience manipulating large datasets and using databases, and one (1) years’ experience with a general-purpose programming language (such as Hadoop MapReduce, Spark or other big data frameworks, Java, Python).
Experience using SQL to access and analyze data.
Experience in the use of statistical packages.
Experience with Azure and Databricks - desired but not required
Familiarity with basic principles of distributed computing and/or distributed databases.
Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues.
Good communication and interpersonal skills.
Knowledge of one or more business/functional areas.
Ability to work well both independently as well as within a team oriented environment
Ability to work hybrid on-site in Conshohocken, PA
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We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora
Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.
The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned
