Data Scientist II

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What you will be doing
Summary:
In this role, you will be combining company and external data to answer questions with a financial focus. These problems could include segmenting customers by purchasing behavior, modelling customer profitability and lifetime, forecasting financial metrics on the scale of months or years, predicting win/loss rates in contract negotiations, and building machine learning processes that monitor and provide feedback on how or where to improve predictive models already deployed. Individuals within the Data Scientist role work closely with business stakeholders, Financial 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. Data Scientists are responsible for using analytics techniques to model complex business problems, discovering insights and identifying opportunities through the use of 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 need 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 such as sensors or smart meters, geo-location information and social media
• 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 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 algorithm 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
• 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 EITS 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's degree in mathematics, statistics or computer science or related field; Master's 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 data sets
• 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/Hawaii/Vermont/Minnesota 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 Drug 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