The ideal candidate for this opening is someone who is willing to work crossfunctionally on both data science features and data processing at an ambitious startup.
Personally, you are:
- Self-motivated
- Honest and passionate
- Learn quickly and continously
- Communicate effectively with clients and teammates
- Curious about technology and the impact it can make on the world
- Enjoy taking ownership and responsibility for their work
- Are open to making bold decisions with an open mind for change
- Improve the testing, automation, deployment, and throughput of our data pipeline.
- Help create and enforce uniform project quality standards, including configuration, security, linting, typing and formatting.
- Ensure the smooth running and delivery of automated Selenium based tests for our clients.
- Spot blockages in the data pipeline, such as missing credentials or incorrect configuration, and proactively correct them.
- Implement new features and maintain existing functionality of Meeshkan software, across the backend layers of the tech stack
- 3-4 hour working overlap with UTC +1
- Experience in a scripting language: ideally Python, but bash, Perl or JavaScript experience is ok as well.
- Experience maintaining, testing and debugging a high-throughput, low-latency data pipeline.
- Optionally experience working with ML models and toolkits like scikit-learn and spacey.
- Fully remote position, work wherever you are.
- Flexible hours, work whenever you want.
- Twice a year team onsite
- Remote setup provided (Laptop, microphone, coworking membership, etc)
- Unlimited PTO
- 20% of your time for learning
- Inclusive, considerate, and diverse culture.
Meeshkan’s hiring process:
1. 30 minute video call with our COO, Makenna
2. Take home exercise, if applicable
3. Video call with Mike, CEO of Meeshkan
4. Offer & "What will make you most successful in this position?"
On average the whole process takes 2-3 weeks end to end, but we're pretty flexible!
We understand the combination of backend and data science chops, is a hard one to find. Our preference is on candidates with strong backend experience, we have an incredible team of data science engineers that you can collaborate with and learn from!
Even if you don't believe you fit all of the requirements but you're interested in the product / position — please apply! We're looking forward to hearing from you.
