AmerisourceBergen | Data Scientist (Remote) | Plano, TX | United States | BigDataKB.com | 2023-01-27

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Job Location: Plano, TX

Job Detail:

Are you looking to make a difference in a patient’s life? At AmerisourceBergen, you will find an innovative and collaborative culture that is patient focused and dedicated to making a difference. As an organization, we are united in our responsibility to create healthier futures. Join us and Apply today!


What you will be doing

The GPO analytics group at AmerisouceBergen is looking for a data scientist interested in working with various GPO data to answer questions about sourcing, pricing, and distributing pharmaceuticals globally. In this role, you will be combining internal and external data to answer questions such as segmenting customers by purchasing behavior, forecasting financial metrics on the scale of months or years, predicting win/loss rates in contract negotiations with machine learning models using Clouds platform. Individuals need to be creative thinkers and propose innovative ways to look at problems. In addition to advanced analytics skills, individuals in this role need a combination of business focus, strong analytical and problem-solving skills, and programming knowledge along with excellent written and communications skills to report back the findings in a clear, structured manner. 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.

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PRIMARY DUTIES AND RESPONSIBILITIES:

  • Improve organizational performance though the application of original thinking to existing and emerging analytic methods, 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.

  • 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.
  • 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.


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.
  • 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 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.

  • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

  • Strong programming skills using Python/R/Hadoop/Spark or other big data frameworks.

  • Experience using SQL to access and analyze data.

  • Experience using machine learning algorithms and creating ML pipelines in at Clouds platform such as Azure.

  • 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.


MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:


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 AmerisourceBergen offers

We offer a competitive total rewards package which includes benefits and compensation. Our commitment to our eligible population of team members includes benefit programs that are comprehensive, affordable, diverse, and designed to meet the needs of our team members’ and their families. Some of these programs include paid time off including paid parental leave, access to retirement savings vehicles, medical, dental, vision, and life insurance options, an employee stock purchase program, and other financial, health, and well-being focused benefits.

Because we take a balanced, global approach to our benefits, benefit offerings may vary by location, position, and/or business unit. Some benefits are company-paid, while others are available through team member contributions. For details visit https://www.virtualfairhub.com/amerisourcebergen.


Schedule

Full time


Salary Range*

$82,300 – 117,920

  • This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington 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

AmerisourceBergen 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.

  • 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.

  • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

  • Strong programming skills using Python/R/Hadoop/Spark or other big data frameworks.

  • Experience using SQL to access and analyze data.

  • Experience using machine learning algorithms and creating ML pipelines in at Clouds platform such as Azure.

  • 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.


MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:


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.

$82,300 – 117,920

USA > TX > Carrollton > Plano Pkwy
Salary

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