IDinsight is hiring full-time junior data scientists (0 to 4 years of relevant experience) to grow our machine learning and broader data science capabilities. In this role, the data scientist will work with project teams and clients to use advanced analytics to drive social impact. You may build models that help locate out-of-school children, optimize the routing of community health workers, identify infants with high mortality risk, or make credit scoring possible for the unbanked for the first time.
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IDinsight
- Dakar, Senegal; New Delhi, India; Nairobi, Kenya; Lusaka, Zambia | Remote
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Junior Data Scientist – IDinsight
Vue d'ensemble
Responsabilités
We are seeking candidates with a strong background in Python and core data science skills and a passion for building solutions to difficult social problems. Most importantly, successful candidates should possess the ability to work independently to solve complex challenges related, both human and technological.
As a junior data scientist, the day-to-day work may include:
- Working with clients to understand their needs: Understanding their current processes and pain points and identifying which of these can be framed as a tractable data science problem.
- Wrangling/cleaning government or client data: from extracting data from SQL databases and making API calls to scraping websites and cleaning survey data.
- Designing, testing, improving various algorithms: From OOTB scikit-learn algorithms to bespoke ones.
- Synthesizing, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations, and reports
- Working with other team members to test and deploy these solutions.
Qualifiquations
Required
- Proficiency in working in Python is required. Please do not apply if you are not proficient in standard data science packages in Python (numpy, pandas, scikit learn, etc.). The application will ask you specific questions about your Python abilities.
- Proficiency in understanding and coding standard supervised and unsupervised machine learning algorithms and components of the data science pipeline – data cleaning, feature selection, cross-validation, parameter tuning, etc.
- Sound foundations in statistics and probability.
- Working knowledge of SQL
- B.S./B.S.E. degree in Applied Math, Data Science, Computer Science, Physics, or Similar Technical Field
Other
- Proven ability to work alone and with teams in a dynamic, multicultural environment.
- Passion for improving lives through evidence-informed policy.
- Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
- Strong values aligned with IDinsight’s stated values.
- Ability and interest in sharing knowledge, mentoring others, presenting work, and reviewing the work of others.
- Deeply passionate about global development and improving lives in disadvantaged populations
- Open-minded self-starter who will thrive while tackling new, unusual, and unpredictable challenges
