Superb ! Senior Data Scientist at American Red Cross

  • Remote Data Science Jobs
  • Contract
  • 4 months ago
  • USA
  • Shift Day
  • Job Qualifications Bachelor
  • Number of vacancies 1 opening
  • Job level Senior

Job Description

Senior Data Scientist (Work from home position)

American National Red Cross

  • Columbus, OH
  • Employment Type: Full Time Employee
  • Job type: Federal Contractor
  • Skill Based Partner: No
  • Education Level: Master’s degree
  • Work Days: Mon, Tue, Wed, Thu, Fri
  • Job Reference Code: 41974943_2
  • Salary: N/A
  • Licenses / Certifications: N/A

Job Description

By joining the American Red Cross you will touch millions of lives every year and experience the greatness of the human spirit at its best. Are you ready to be part of the world’s largest humanitarian network?

The American Red Cross is looking for a seasoned Sr Data Scientist to leverage existing data to develop & execute predictive models and advanced analytics to help solve complex business problems. The Sr Data Scientist will use advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. This person will also apply predictive analytics, machine learning, and optimization techniques to generate management insights and optimize business functions.

We are seeking candidates with a depth of knowledge in statistics, as well as hands-on experience building a range of predictive models using artificial intelligence and machine learning.

This position will work virtually from a home/office anywhere in the USA.


  • Utilize advanced statistical techniques to create high performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.
  • Work with Business SMEs to create models which predict the outcome of key business processes
  • Lead and contribute to data analysis and modeling projects from project or prototype design
  • Gathering and analyzing data, identifying key prediction/classification problems, devising solutions and building prototypes.
  • Follow industry trends in related data analytics processes and businesses.
  • Develop high-performance algorithms for predictive analytics. Testing and implementing these algorithms in scalable, product-ready code.


  • Ideal candidate will possess a PhD with at least 3+ years of data science expertise; However candidates with equivalent and relevant years of experience in lieu of Post graduate Degree will be reviewed
  • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Strong algorithmic problem solving and software development skills (R, Python, or similar)
  • Demonstrated capability to develop proof-of-concept prototypes for experimenting with novel algorithms
  • Demonstrated experience and accomplishments in the use of data mining, machine learning, and predictive analytics to address real-life problems.
  • Past experience in analyzing large scale data and distributed algorithms
  • Excellent analytical, communication (both verbal and written), interpersonal, and organizational skills.
  • Must be able to communicate effectively and clearly present technical approaches and findings.

The American Red Cross is a diverse nonprofit organization offering its employee’s professional development and growth opportunities, a competitive salary, comprehensive benefits, and a collaborative team spirit environment. To be considered for this position, please visit to apply.

The American Red Cross is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

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