
Data Scientist
2 days ago
organizations and people operations.
Job Functions and Responsibilities
2. Build, iterate and validate predictive models using multiple statistical techniques;
3. Perform data manipulation, wrangling, cleansing and analysis;
4. Use data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
5. Interpret, understand and extract maximum value and meaning out of data;
6. Continuously learn and share knowledge about new ways to distill meaning out of the data available, finding creative ways to work around limitations;
7. Collaborate closely with the People Analytics Team and play an advisory role/pair with the Data Science Intern(s).
8. The role will not include travel, however collaboration with teams across the MSF movement globally during irregular hours may be required
Required Basic Qualifications
- Minimum 5 years of proven professional experience as a Data Scientist or Statistician;
- Must have advanced skills and be fully proficient in R. Some Python experience is a plus;
- Must have strong skills and significant experience in applied statistics with the ability to use a variety of techniques to extract insights from data;
- Familiarity with BI tools and storytelling using data visualization (i.e. Shiny, PowerBI, Tableau, etc.);
- Superior attention to detail and a commitment to producing accurate and reliable work;
- The maturity and experience to navigate the challenges of working in a resource-limited setting, with the ability to adapt to a rapidly growing and scaling work environment;
- A strong work ethic, commitment to professionalism, intellectual curiosity, and positive attitude, especially when confronting limitations (in the data or otherwise);
- Passion for data and its use in driving organizational change.
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