Opportunity

Senior Data Scientist needed at Innovations for Poverty Action (IPA)

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Responsibilities

60%

  • Lead data science and machine learning projects

  • Develop and optimize scalable data infrastructure and analytics pipelines

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  • Drive the adoption of cutting-edge technologies, including NLP and LLMs

  • Develop original code for research and data software solutions

  • Provide feedback to peers and mentor colleagues through code review and testing

  • Mentor research and data science colleagues, fostering a culture of innovation and inclusion

  • Lead the development of training on data science software solutions, methods, and tools

  • Contribute to GRDS research resources on project management

40%

  • Collaborate with leadership and international partners on high-impact projects

  • Managing complex data science projects, often with a high degree of ambiguity

  • 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

  • Provide direct technical assistance to IPA research Projects

  • Deliver, weekly, monthly and quarterly updates to internal IPA stakeholders on project and product development for research and data science projects

  • Represent the organization at conferences and in the broader data science community

Qualifications

Required

  • 4+ years’ experience in a data science or data engineering setting

  • 2+ years’ experience with cloud computing platforms (AWS, GCP, or Azure) and analytics databases (Snowflake, Databricks, Redshift, Motherduck, Clickhouse)

  • 2+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience

  • Proven leadership in developing Python data science projects and/or projects

  • Proficiency in SQL for database querying and analytics

  • Proven experience with version control systems like Git

  • Familiarity with working with data APIs and integrating diverse data sources

  • Ability to lead and maintain effective working relationships in a multicultural environment with sensitivity and respect for diversity

  • Bachelor’s degree or equivalent experience in a relevant field (e.g., Computer Science, Data Science, Statistics, Data Science, or related discipline)

Preferred

  • Technical knowledge of best practices for applied machine learning

  • Background in applying NLP techniques and working with LLMs

  • Strong understanding and ability to present data analysis through impactful data storytelling and visualization

  • Excellent communication and presentation skills

  • Strong analytical and problem-solving skills with attention to detail

  • Experience with project management tools (e.g. Jira, Asana)

  • Experience with data engineering tools for ELT (e.g. dlt, SQLMesh, dbt)

  • Experience with additional data science and econometrics software such as R or Stata

  • Familiarity with research quality standards and best practices in survey data collection and data management

  • Experience working with international development organizations or research institutions

  • Familiarity with ICT for development concepts and applications

  • 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

APPLY HERE

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Mr HausaLoaded

Abubakar Rabiu Editor-in-cheif

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