Data Scientist II - Conshohocken, United States - Cencora

    Cencora
    Cencora Conshohocken, United States

    3 weeks ago

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    Description
    Our 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

    What you will be doing


    Summary:


    The Enterprise Data and Analytics (ED&A) group at Cencora is looking for a senior data scientist interested in leveraging internal and external data to answer a myriad of business questions related to sourcing, pricing, and distribution of pharmaceuticals across the United States.

    These problems may include segmenting customers by purchasing behavior, modelling customer lifetime profitability, forecasting financial and operational metrics, predicting win/loss rates in contract negotiations, and others.


    Data Scientists are responsible for using advanced analytics techniques to model complex business problems, discovering insights, and identifying opportunities through statistical, algorithmic, mining and visualization techniques.

    In addition to advanced analytics skills, Data Scientists are also proficient at integrating and preparing large, varied datasets, implementing specialized database and computing environments, and communicating results.

    Individuals in this role work closely with business stakeholders, Business Analysts, Data Engineers, Data Visualization Specialists, and other team members to leverage data to support sound organizational decisions.

    They are creative thinkers who propose innovative ways to look at problems by employing data exploration and predictive modeling techniques across a wide range of data assets while validating their findings using an experimental and iterative approach.

    These individuals are often asked to present their findings to business stakeholders, exposing their assumptions and validating their work in a way that can be easily understood.


    Successful candidates will showcase a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project.

    Excellent written and communications skills to report back the findings in a clear, structured manner are required.

    Also required are the ability to establish and maintain effective working relationships with team members, as well as an innate curiosity around wanting to understand business processes, business strategy and strategic business initiatives to help drive incremental business value from enterprise data assets.


    Primary Duties and Responsibilities:
    Improve organizational performance though the application of original thinking to existing and emerging analytic methods, processes, products, and services, and employ sound judgment in determining how innovations will be deployed to produce return on investment
    Working with business stakeholders identify business problems, opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach or solution
    Conceptualize, design, and develop analytics models in addressing complex business problems, discovering insights, and identifying opportunities that are of value to internal and external business stakeholders, typically using a hypothesis-driven approach

    Working with Data Engineers determine how to best source data, including identification of potential proxy data sources, and design business analytics solutions, considering current and future needs, infrastructure and security requirements, load frequencies, etc.

    Where appropriate help seed data science capabilities within business functions, essentially developing "citizen data scientists" within the business teams
    Show strong team building and creative thinking skills, and a desire to "make a difference"


    Work Complexity:
    Designs experiments, tests hypotheses and builds analytic models
    Conducts advanced data analysis and designs and develops complex analytic algorithms


    Project Planning:
    May participate in project planning processes
    May identify project tasks and assists with project task effort estimations


    Business Requirements:
    Works with business stakeholders to identify the business requirements and the expected outcome
    Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions
    Possesses a high-level understanding of one or more business areas
    Develops key business stakeholder relationships
    Helps identify potential analytics business opportunities
    Leverages knowledge of internal and external data sources and builds up specific business data domain expertise


    Data Requirements:
    Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes as needed
    Collaborates with subject matter experts to select the relevant sources of information
    Works with others to support data collection, integration and retention requirements based on the input collected with the business
    Translates business requirements into semantic access, conceptual, logical and/or physical data models


    Analytics:
    Solves business analytics problems and communicates results and methodologies
    Works in Agile or iterative processes with business stakeholders and validates findings
    Develops experimental design approaches to validate findings or test hypotheses
    Validates analysis by comparing appropriate samples
    Employs the appropriate algorithms to discover patterns


    Data Quality:
    Assesses, with business stakeholders, the expected qualification and assurance of the information in support of a use case
    Defines the validity of the information, how long the information is meaningful and what other information it is related to
    Working with Data Engineers, develops data profiling and preventative procedures to improve data quality
    Analyzes data issues and works with Data Engineers for problem resolutions
    Identifies problematic areas and, with Data Engineers, conducts research to determine the best course of action to correct the data, identify, analyze, and interpret trends and patterns in complex datasets


    Communications and Presentation:
    Presents and depicts the rationale of findings in easy-to-understand terms for the business
    Can clearly present and depict the technical and statistical methodologies applied to a problem to other data scientists, engineers, and analysts
    Presents back results that contradict common belief, if needed
    Communicates and works with business subject matter experts

    Change Advocacy, Coaching and Mentoring


    Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.

    Helps the organization understand the principles and the math behind the process to drive organizational buy-in
    Provides technical coaching and mentoring to less-experienced team members and "citizen" data scientists

    Support

    Troubleshoots and implements enhancements and fixes to systems as needed

    What your background should look like

    Bachelor degree in mathematics, statistics or computer science or related field; Master degree preferred
    Typically requires 3+ years of relevant quantitative and qualitative research and analytics experience
    Solid knowledge of statistical techniques
    The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
    Strong programming skills (such as Hadoop MapReduce, Spark or other big data frameworks, Java, Python) and statistical modeling (like SAS or R)
    Experience using SQL to access and analyze data
    Experience using machine learning algorithms
    Proficiency in the use of statistical packages
    Proficiency in statistical analysis, quantitative analytics forecasting/predictive analytics, multivariate testing and optimization algorithms
    Strong communication and interpersonal skills
    Knowledge of one or more business/functional areas

    Building Relationships

    Intermediate (I):

    Establishes and maintains networks and alliances Shares information and readily determines who to go to for relevant information
    Seeks assistance and feedback in the problem solving process
    Partners with others to achieve expectations

    Business Function Knowledge

    Intermediate (I):

    Involves the key players in identifying operating needs, issues and solutions. Proposes technical plans that are aligned with business objectives and technical requirements
    Takes and leads actions to enhance business function standards and performance with the participation of business and technical partners

    Business Process Knowledge

    Intermediate (I):

    Maps full business processes and designs operational process flow
    Facilitates group input and drafts proposals for process improvements
    Identifies resource implications. Implements process improvement recommendations within the context of overall business processes.

    Communications for Results

    Intermediate (I):

    Conducts discussions with and writes memoranda to all levels of colleagues and peer groups in ways that support troubleshooting and problem solving
    Seeks and shares relevant information, opinions, and judgments
    Handles conflict empathetically
    Explains the context of inter-related situations, asks probing questions, and solicits multiple sources of advice prior to taking action

    Information Seeking

    Intermediate (I):

    Utilizes a variety of information and data sources pertaining to organizational and professional trends
    Checks the source for omission and accuracy
    Identifies the sources that are appropriate for specific types of information. Checks for bias and omission
    Seeks out the appropriate people to approach for guidance either formally or informally depending on the type of issue
    Links information in a lateral as well as linear manner
    Finds hidden data
    Relates and manipulates data from various sources to create a fuller picture. Investigates and uncovers root causes of a problem or issue

    Initiative

    Intermediate (I):

    Seeks out new challenges that require risk taking
    Determines the resources, team support, and technical needs necessary to enable success and procures them
    Keeps responding to the challenge in spite of obstacles and setbacks.

    Teamwork

    Intermediate (I):

    Consistently fosters collaboration and respect among team members by addressing elements of the group process that impedes, or could impede, the group from reaching its goal
    Engages the "right people," despite location or functional specialty, in the team by matching individual capabilities and skills to the team's goals
    Works with a wide range of teams and readily shares lessons learned

    Thoroughness

    Intermediate (I):

    Identifies potential areas of conflicting priorities and vulnerability in achieving standards
    Reviews department's progress against established goals, objectives, service level targets and project milestones
    Supports others in achieving deliverables by efficiently allocating resources and providing common organizing systems, techniques and disciplines
    Maintains a proactive work review and approval process prior to assignment completion
    Solicits internal and external customer evaluation of performance and devises measures for improvement

    What Cencora offers


    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

    Schedule

    Full time

    Salary Range

    $84, ,890

    This Salary Range reflects a National Average for this job. The actual range may vary based on your locale.

    Ranges in Colorado/California/Washington/New York State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range.


    Affiliated Companies:

    Affiliated Companies:
    AmerisourceBergen Services Corporation

    Equal Employment Opportunity


    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 or email We will make accommodation determinations on a request-by-request basis.

    Messages and emails regarding anything other than accommodations requests will not be returned
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