Closing: Mar 31, 2024
This position has expiredPublished: Mar 20, 2024 (2 months ago)
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Job Summary
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You want to be building data tools and inclusive data ecosystems to help the public and development actors make better decisions. You aspire to tackle global issues, from the spread of pandemics to climate change to youth unemployment, ensuring no population is left behind. You are a problem solver and a committed entrepreneur. You go the extra mile to excel professionally. You are curious and a fast learner. You are disciplined and attentive to data systems. You are passionate about designing algorithms to solve pressing problems using (big) data and pride yourself on being up to date with the latest trends in the data engineering field. You are comfortable picking up any programming language or software and can learn quickly. You are curious about using new software engineering approaches to make customer-oriented solutions better, more stable, and scalable. You are self-driven, agile and can work independently and on multiple engagements simultaneously. You do not shy away from working in multicultural and multi-location teams. You value diversity.
MINIMUM QUALIFICATIONS
- 2 years of experience solving problems with data.
- Experience solving analytical problems using quantitative approaches.
- Knowledge of statistics (e.g., hypothesis testing, regressions)
- Good sense of graphic design and visual data storytelling, experience in using BI tools and visualization libraries is a plus.
- Proficiency with Python and working knowledge of SQL, various database structures, pgvector is a plus.
- Ability to build data pipelines, APIs, and applications with a modular approach, applying new and emerging technologies in short time understanding of SOLID principles, while outputting DRY code
- Proficiency with TypeScript or JavaScript and a solid understanding of front-end development process from dev to deployment with React.
- Excellent written and verbal communication skills
Responsibilities
You want to be building data tools and inclusive data ecosystems to help the public and development actors make better decisions. You aspire to tackle global issues, from the spread of pandemics to climate change to youth unemployment, ensuring no population is left behind. You are a problem solver and a committed entrepreneur. You go the extra mile to excel professionally. You are curious and a fast learner. You are disciplined and attentive to data systems. You are passionate about designing algorithms to solve pressing problems using (big) data and pride yourself on being up to date with the latest trends in the data engineering field. You are comfortable picking up any programming language or software and can learn quickly. You are curious about using new software engineering approaches to make customer-oriented solutions better, more stable, and scalable. You are self-driven, agile and can work independently and on multiple engagements simultaneously. You do not shy away from working in multicultural and multi-location teams. You value diversity.
MINIMUM QUALIFICATIONS
- 2 years of experience solving problems with data.
- Experience solving analytical problems using quantitative approaches.
- Knowledge of statistics (e.g., hypothesis testing, regressions)
- Good sense of graphic design and visual data storytelling, experience in using BI tools and visualization libraries is a plus.
- Proficiency with Python and working knowledge of SQL, various database structures, pgvector is a plus.
- Ability to build data pipelines, APIs, and applications with a modular approach, applying new and emerging technologies in short time understanding of SOLID principles, while outputting DRY code
- Proficiency with TypeScript or JavaScript and a solid understanding of front-end development process from dev to deployment with React.
- Excellent written and verbal communication skills
- Profound information design and storyteller abilities
- Curious, resourceful, confident under pressure, and comfortable working in a fast-paced, growth-oriented environment,
- Comfortable with agile development to continuously improve data visualizations and design based on team feedback,
- Self-driven, agile, and able to work independently and on multiple engagements simultaneously,
- Build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to the end user,
- Use machine learning tools and statistical techniques to produce solutions to problems,
- Communicate your ideas and rationale to the project manager or client, and see concepts through to the final design deliverable,
- Automating analyses and authoring data pipelines.
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