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Data Science Manager

CoLearn , Anywhere · · Full-time employment · Programming

About the Company

  • 💰  Early-stage, ed-tech, funded, growing, growing fast.
  • 🎯  Mission Driven: Make Indonesia competitive on a global scale.
  • 🥅  Build the best educational content and technology to advance STEM education 
  • 🥇  Students-First approach

About the People

  • ❤️  Love what we do
  • 🎮  Committed to making learning fun, accessible, and safe 
  • 🤝  Teams are better. We value ownership, responsibility, transparency
  • 🌏  Global, diverse backgrounds. Been there, done that.

What does it look like one year from now?

  • CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
  • You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
  • You’re exploring what Data Science can do for the students, parents, teachers, educators.
  • You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
  • The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
  • You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

About you

  • Highly-skilled and experienced Data Scientist and leader
  • You are interested in creating next-gen data-powered education tech products. 
  • You’ve worked in a Data Science role before where you took a data product to market
  • You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
  • You’ve built platforms and systems from scratch
  • You have a track record of developing and deploying data-science models to production

Let’s talk tech

  • End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
  • Deep Learning and Computer Vision models, ideally in a production environment
  • Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
  • Experience in Scala/Java/Go/C/C++ is a plus plus
  • Airflow/Luigi/Oozie and the likes
  • Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

Track record

  • B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
  • 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
  • Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
  • Experience developing a data science strategy, building the roadmap, and leading the execution
  • Track record of recruiting talent in analytics and data science

You will make us go 😍 if:

  • You’ve won algorithm and machine learning competitions such as ACM and Kaggle
  • You have research publications and citations in top tier journals 
  • You have a portfolio of side projects and can show it to us

Does this sound like a match? Or maybe a bit too much? Don’t agree with something here? Let’s talk.

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