Data Science Content Intern Part-time

NannyML — creators of the NannyML Open Source Python library, are looking for multiple Data Science Writer interns to help with Data Science content creation, research, and prototyping.

**About Us**

NannyML builds products for post-deployment data science. We focus on detecting model performance degradation without needing access to ground-truth data. We have researched and developed state-of-the-art algorithms that now form part of our OSS library and the NannyML Cloud product.

The founders are experienced entrepreneurs who previously founded a specialized machine learning company, where they became experts at building machine learning systems. At NannyML, we take pride in hiring the best people and getting out of their way so that they can make great things happen.

We are backed by tech leaders who have founded and grown top data unicorns, like the co-founder of Collibra (the first Belgian unicorn), Zehan Wang (ex-head of Cortex AI at Twitter); and deep tech VCs like Lunar Ventures. At NannyML, we are building Free Open Source Software to estimate the performance of ML models after deployment. We’re creating a one-of-a-kind company by being one of the initial players in the growing ML Monitoring field. By focusing on post-deployment data science and performance estimation, we’ll define the industry and science for decades to come.

**About the Role**

**Responsibilities**
- Work closely with the founders, Research, and Growth teams to create value-adding content and be credited as authors in all content created by you
- Directly contribute to our open-source library by implementing new ML Monitoring features and algorithms
- Conduct literature research and create prototype solutions for unsolved problems
- Write both long-form and short-form original content about ML Monitoring, NannyML products, and general applied Data Science
- Curate content across new ML developments, foundational papers, and practical data science

**Requirements**:

- **You’ve created multiple long-form Data Science pieces of content (like blogs, articles, courses etc.)**
- Exceptional communication skills in English - both oral and written.
- Strong theoretical and practical understanding of Machine Learning, including hands-on experience in developing ML systems.
- Knowledge of the Python Data Science stack, including Pandas, Scikit-Learn and visualization tools.
- You are a swift learner and can easily pick up new concepts.
- You are incredibly proactive, independent and comfortable in proposing new ideas. This also means holding your ground when you believe you are right.
- _Be available to start in November. We're looking to fill this role immediately._
- You live in or are willing and able to move to EU time zones, and you are open to travel roughly once per quarter

**_Nice to haves_**
- STEM background
- Prior work or internship experience in a Machine Learning company
- Track record of open-source contributions

**Benefits**
- The opportunity to be a part of the exciting early stages of a well-funded, European-based Open Source start-up that has massive growth and venture potential
- Fully Remote Working Environment
- 50€/month development budget to learn Data Science, Causal ML, Bayesian Inference or anything you like that applies to your role.
- 45€/month well-being allowance (for yoga, gym etc.)
- Compensation: up to 750 EUR/month for half-time

**_Our values_**

We value freedom with responsibility, transparency, and a growth mindset. We believe in generating our own luck by trying out new stuff, always asking, constantly learning, reading, and meeting new people with different world-views. We appreciate that from time to time, things may break. Working at NannyML, you will have full autonomy to make impactful decisions and prioritize and organize your work the way you see fit. You will work closely with the founders.

❤ **_Why you will love to join NannyML_**
- Working with a fast-growing international VC funded startup with a flat structure
- You will have full ownership of the things you work on
- An international and diverse team
- Fully remote work, with as many opportunities to meet up as you want
- Open Source Product with all the perks that come with that

**_What you might not love_**
- We're a small team, priorities will keep on changing, and processes are not fine-tuned yet
- Really fast-paced environment with a LOT of work to be done
- You will have to learn new things all the time