Senior Data Scientist needed at Innovations for Poverty Action (IPA)
Responsibilities
60%
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Lead data science and machine learning projects
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Develop and optimize scalable data infrastructure and analytics pipelines
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Drive the adoption of cutting-edge technologies, including NLP and LLMs
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Develop original code for research and data software solutions
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Provide feedback to peers and mentor colleagues through code review and testing
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Mentor research and data science colleagues, fostering a culture of innovation and inclusion
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Lead the development of training on data science software solutions, methods, and tools
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Contribute to GRDS research resources on project management
40%
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Collaborate with leadership and international partners on high-impact projects
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Managing complex data science projects, often with a high degree of ambiguity
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Manage Strategic partnership with IPA country offices, sector programs, policy teams, and Right-fit Evidence unit to plan, implement, and ensure timely completion of research and data science projects
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Provide direct technical assistance to IPA research Projects
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Deliver, weekly, monthly and quarterly updates to internal IPA stakeholders on project and product development for research and data science projects
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Represent the organization at conferences and in the broader data science community
Qualifications
Required
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4+ years’ experience in a data science or data engineering setting
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2+ years’ experience with cloud computing platforms (AWS, GCP, or Azure) and analytics databases (Snowflake, Databricks, Redshift, Motherduck, Clickhouse)
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2+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience
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Proven leadership in developing Python data science projects and/or projects
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Proficiency in SQL for database querying and analytics
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Proven experience with version control systems like Git
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Familiarity with working with data APIs and integrating diverse data sources
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Ability to lead and maintain effective working relationships in a multicultural environment with sensitivity and respect for diversity
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Bachelor’s degree or equivalent experience in a relevant field (e.g., Computer Science, Data Science, Statistics, Data Science, or related discipline)
Preferred
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Technical knowledge of best practices for applied machine learning
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Background in applying NLP techniques and working with LLMs
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Strong understanding and ability to present data analysis through impactful data storytelling and visualization
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Excellent communication and presentation skills
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Strong analytical and problem-solving skills with attention to detail
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Experience with project management tools (e.g. Jira, Asana)
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Experience with data engineering tools for ELT (e.g. dlt, SQLMesh, dbt)
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Experience with additional data science and econometrics software such as R or Stata
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Familiarity with research quality standards and best practices in survey data collection and data management
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Experience working with international development organizations or research institutions
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Familiarity with ICT for development concepts and applications
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Ability to work in one (or more) of the following languages: Spanish, French, Swahili
Work Model
Hybrid remote + country office work environment;
International travel at least 1-2 times per year
Reports to
Sr. Director of Global Research and Data Science
Deadline to Apply
December 1st, 2024
Location
Kenya, Ghana, Colombia, Mexico, Nigeria