Data Science
Machine Learning (ML)About the Company
- š°Ā Early-stage, ed-tech, funded, growing, growing fast.
- šÆĀ Mission Driven: Make Indonesia competitive on a global scale.
- š„ Ā Build the best educational content and technology to advance STEM educationĀ
- š„Ā Students-First approach
About the People
- ā¤ļøĀ Love what we do
- š®Ā Committed to making learning fun, accessible, and safeĀ
- š¤Ā Teams are better. We value ownership, responsibility, transparency
- šĀ Global, diverse backgrounds. Been there, done that.
What does it look like one year from now?
- CoLearn has grown so much, and youāve been an important part of the growth. You solved hard problems that many didnāt know existed.
- Youāve led the data science function and laid out the roadmap, implemented best practices, and grown the team. Youāve executed mission-critical projects. Congratulations!
- Youāre exploring what Data Science can do for the students, parents, teachers, educators.
- Youāve 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. Itās their second nature.
- You have an encyclopedic knowledge of CoLearnās data structures and metrics, and youāve 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.Ā
- Youāve 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
- Youāve built platforms and systems from scratch
- You have a track record of developing and deploying data-science models to production
Letās 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)Ā āĀ 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.Ā
- 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 teamsĀ
- 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 š if:
- Youāve won algorithm and machine learning competitions such as ACM and Kaggle
- You have research publications and citations in top tier journalsĀ
- You have a portfolio of side projects and can show it to us
Subodh Popalwar
Software Engineer, Memorres
About CoLearn
About
CoLearn is a EdTech platform that is improving the way students learn in Indonesia. Our platform empowers tuition centers and tutors to create engaging and interactive online learning experiences for their students. Our mission is to improve education standards for Indonesia's youth and make the country globally competitive.
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Follow CutshortSubodh Popalwar
Software Engineer, Memorres