- Full Time
- Remote (Remote)

Quansight
We are looking for enthusiastic and highly motivated software developers with extensive experience in the Scientific Python and PyData ecosystems to help support Quansight’s growing consulting business. This is an excellent opportunity for you to apply your software development skills to the open-source, Python, data-science, AI, big data and visualization ecosystems, and to help customers apply these tools to solve practical business problems.
What you’ll do
As a Senior PyData Software Developer, you will be a key member of our team solving problems for our clients using tools from the Python open-source ecosystem. As appropriate, you will help maintain and push developments back upstream to open source projects. We are especially interested in people with a strong technical background who have experience or have an interest in becoming technical leads. Our client projects vary widely across business domains and technologies, being comfortable with growing and learning new technologies will be important to fitting in at Quansight. Key areas we touch on when building solutions for clients include algorithm development, data engineering, data science, machine learning/AI, visualization, packaging, infrastructure and integration.
Requirements:
- Fluency in Python
- Extensive experience with the Scientific Python and Data Science ecosystems, i.e. Pandas, NumPy, Scikit-Learn, etc.
- Experience applying the PyData stack to data and scientific projects
- Familiarity with software engineering best practices, including unit tests, code review, version control, CI/CD, etc.
- Superior written and verbal communication skills, including writing and reviewing documentation
- Ability to make technical and architectural decisions with minimal oversight.
Additionally one or more of the following skills will help you stand out:
- Contributions to open source projects
- Skills in other programming languages
- Experience with DevOps and Infrastructure-as-Code approaches
- Experience with Python packaging and conda environments
- Experience with advanced Python data libraries such as Dask and Numba
- Experience working in a client-facing environment
- Exposure to building data engineering pipelines using Prefect, Airflow and similar tools
- Practical Experience in MLOps approaches
- Ability to provide technical leadership to others