Data Scientist III/IV at IDinsight

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

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.