Description
Job Summary:
Salary
S$7,67- S$11,893 / Monthly EST
Job Type
Permanent
Seniority
Senior
Years of Experience
Information not provided
Tech Stacks
TDD Graph AWS Docker Go Analytics Rust Presto Azure Hive Airflow Spark Kubernetes kafka SQL Scala Python
-
Get To Know The Role
- Design creative scalable allocation methods that adapt to changing market conditions
- Understand business needs, identify areas for investigation, translate them to technical problems to be solved
- Build, deploy and own productiongrade models and services as they serve millions of requests every day Iterate on existing allocation features to drive continual improvement
The Day-to-day Activities
- Research, analyze highvolume highvelocity data, build quick prototypes, and engineer them into production
- Design data pipelines and conduct experiments to measure the impact of your work Effectively communicate results and their implications to business/product stakeholders
Qualifications
The must haves:
- PhD or Master's degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
- Strong Machine Learning fundamentals:
- Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
- Experience in developing productiongrade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.
- Strong aptitude in statistics and largescale data analytics:
- Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
- Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
- Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)
- Strong software development skills:
- Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
- Familiar with Gitbased source control, code reviews, testdriven development, cloudbased development (AWS/Azure)
- Selfmotivated, independent learner, and willing to share knowledge with the team
- Detailoriented and efficient time manager in a dynamic working environment Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.
Nice To Have
- Experience in working with geospatial/mobility/logistics data
- Experience in designing probabilistic models at scale in production
- Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
- Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agentbased simulation, adaptive control, reinforcement learning Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus
Additional Information
Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
More jobs from NodeFlair
-
Information Technology
Singapore - 1 week ago
-
DevOps Engineer/sre
Singapore - 1 week ago
-
Senior QA Engineer
Singapore - 1 day ago
-
Back End Software Engineer Ii
Singapore - 2 days ago
-
Site Reliability Engineer
Singapore - 3 days ago
-
Application Developer
Singapore - 1 day ago