Data Scientist II

4 weeks ago

Chicago, Illinois, United States American Medical Association Full time

Data Scientist II

Chicago, IL (Hybrid)

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

We continuously work to embed equity in our internal practices and are committed to increasing the diversity of our staff across all levels of the organization. We intentionally work to create the right conditions to enable our employees to feel that they can be their authentic selves and fully participate in the life of the enterprise.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Data Scientist II on our Marketing and Membership Experience team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As Data Scientist II, you will maintain targetaudience scoring and segmentation models for marketing activation. Participatein the development and application of machine learning and other data sciencetools for new opportunities. Collaborate with other Data Scientists to develop,design, and deploy new and modernized capabilities using data within MMX.

RESPONSIBILITIES:

Support Targeted Marketing

  • Identify and design custom segments to prioritize and target for future marketing activities to support both group and individual lines of business
  • Collaborate with broader Marketing team and other interested parties to execute all aspects of the process, including identification of target audience & sizing, A/B test design, test cell allocation, campaign set-up, data quality checks, and post campaign analysis
  • Create performance metrics and tracking processes to measure the effectiveness of customer segmentation efforts
  • Develop and maintain a campaign summary dashboard of key performance metrics to track results of previous and ongoing campaigns

Model and Analytics Development

  • Conduct statistical analysis from data drawn from the AMA data warehouse, digital data repositories, and related data from other sources using statistical methods such as clustering and segmentation techniques, regression, algorithms and propensity modeling
  • Develop machine learning models, using a variety of methodologies as required and develop and maintain new metrics, attributes, and measures in pursuit of model development
  • Create, automate, and maintain reports and visualizations for business stakeholders.
  • Enhance and improve existing systems for data capture and analysis

Data Automation and Process

  • Streamline data ingestion, interpretation, and transformation from various stakeholders for use in team-wide modeling efforts
  • Leverage deep understanding of all database systems and data relationships including digital data repositories (i.e., Google Analytics, AMS, etc.), AMA Physician Master File, AMA Data Warehouse, and other disparate sources.
  • Serve as technical resource to business and IT teams requiring analytic insights and project development

May include other responsibilities as assigned

REQUIREMENTS:

  1. Additional Skills and Experience
  2. Proficiency with SQL; knowledge of R or Python and related statistical packages required.
  3. Proficiency in data visualization packages, Power BI is preferred.
  4. Strong critical thinking and problem-solving skills, ability to hypothesize and test against the hypothesis.
  5. Polished written and verbal communication skills including communication of technical and statistical concepts to business audiences.
  6. Demonstrated ability to prioritize work based on changing business needs and relevant timelines, including completion of tasks requiring inputs from colleagues across the AMA.
  7. Experience in providing recommendations to management and stakeholders to optimize analytic approaches.
  8. Experience in providing consultation to customers to leverage analytic findings.
  9. Able to communicate technical and/or complicated processes to non-technical staff.
  10. Additional Required Technical Background:
  11. Familiar with statistical analysis techniques, such as chi-squared test, t-test, ANOVA, regression analysis, sampling design, and time series; able to draw findings from statistical analysis results.
  12. Experience with machine learning techniques including but not limited to deep learning / neural networks, decision trees, random forests, gradient boosting, naïve Bayes, linear and logistic regression.
  13. Experience with data analysis tools and techniques, such as Python, R, SAS, SPSS required.
  14. Programming experience - ability to write sophisticated machine learning and data analysis code in Python, R or Java required.
  15. Experience with SQL in the extraction and manipulation of datasets; general knowledge of transactional data processing, ETL, data warehouse, data mart, and operational reporting solutions, a plus.
  16. Experience and interest in presenting analytic findings to business customers. Familiar with reporting and visualization tools, such as Tableau, Power BI, Business Objects, etc.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

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