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Data Scientist II/III at

4 months ago

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IDinsight is an international development organization that helps policymakers and managers make socially impactful decisions using rigorous evidence. We carefully tailor a wide range of analytical and quantitative tools to enable our clients to design better policies, rigorously test those ideas, and take informed action at scale to improve lives
Summary


We are working to build IDinsight into a global leader in the use of machine learning to solve some of the world's most urgent problems.

You'll be joining a growing data science team and working on highly impactful and innovative projects with our partners.

You'll be joining an entrepreneurial team where you have a strong voice in how the team functions and grows. You'll get to work on the full spectrum of the data science solution - from design to deployment. To be effective, data science products need to be contextually relevant and build on subject-matter expertise.

You will get to work closely with our partners, our team of economists, social sector experts, and public health specialists to build and test solutions.

Learning is a key part of being a data scientist. 10% of your time would be dedicated to learning new skills and side projects of your choice. You'll have strong mentorship to guide your data science career, and you'll make interesting and valuable connections.

About the Role

We are seeking candidates with strong 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 to both human and technological.

As a senior data scientist, you'll also be across multiple projects and bring technical expertise to the team.

In addition to the tasks above, you'll be:

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.

Providing technical oversight on multiple projects.
Designing, testing, and improving various algorithms: From OOTB sci-kit-learn algorithms to bespoke ones.
Writing articles and blog posts to share our work for technical and non-technical audiences.
Synthesizing, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations, and reports
Writing test cases, setting up CI/CD, and deploying solutions using cloud resources.

Ensuring business problems are framed correctly: Not everything is a data science problem, and a senior data scientist would have the expertise to make this judgment.

Ensuring appropriate methods are being used to tackle the problem: Having a broad knowledge of methods would allow a senior data scientist to pick the one best suited for the task.

Establishing standards and best practices: The senior data scientist will bring experience in writing quality code and project management best practices.


Doing code reviews:
Every piece of code we write should be reviewed. Senior data scientists would often be a reviewer and also establish best practices for reviews.
Provide mentorship to junior data scientists.
Provide expertise in one or more of the following:
Deep-learning: image classification/segmentation, sequence models

Optimization under constraints:
linear programming, evolutionary algorithms

NLP:
sentiment analysis, text summarization

Other:
performance tracking, online learning, contextual bandits, survival analysis

Requirements
Required Technical Qualifications

Intermediate to advanced Python skills.

Please do not apply if you are not an expert in standard data science packages in Python (numpy, pandas, scikit learn, etc.).

Hands-on experience building and deploying supervised and unsupervised machine learning algorithms in production.
Degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field.
Strong foundations in statistics and probability.
Minimum 4 years experience working as a data scientist in Python or R.
Experience with version control and code management in Git.
Knowledge of good software engineering principles.

Other required qualifications:
Proven ability to work alone and with teams in a dynamic, multicultural environment.
Passion for improving lives through technology.
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

Preferred Qualifications

The most competitive applicants will also have experience in one or more of the following:

Advanced degree (Masters or PhD) in a technical field.
Experience living and working in developing country settings.
Experience working on optimization and unsupervised learning problems.
Experience working on natural language processing problems.
Experience working with SQL, custom APIs, and AWS products like RDS, EC2, and Lambda.
Experience with other programming languages, especially R or Java.
Experience working with GIS software such as QGIS.
Experience working with satellite imagery / remote sensing data.
Experience with Docker.