Data Scientist

About OnebyZero 

OnebyZero is a dynamic and fast-growing Singapore Headquartered; APAC based specialist Data & AI consulting company. We provide cutting-edge solutions that help businesses transform and thrive in the digital age. Our services blend deep industry expertise, strategy, technology, and data-driven insights to deliver business outcomes. We utilise data, artificial intelligence, and machine learning to unlock new opportunities and drive growth. Our mission is to empower businesses with innovative Data and AI solutions, fostering transformative growth and sustainable success. 

• You will be working on a variety of challenging problems involving descriptive, diagnostic, predictive and prescriptive analytics with customers in different industries such as financial services, telecommunications, retail and gaming.
  
• You will be tasked with building and operationalizing models such as customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, etc. 
  
• You may use a variety of algorithms from packages such as scikit-learn, statsmodels, xgboost, tensorflow and pytorch.
  
• You’ll also use state-of-the-art MLOps practices to help evaluate different models, manage them and deploy them to production.
  
• Finally, we are looking for creative thinkers to help us innovate as we work without customers and help develop reusable assets that can work across different customer engagements.
  
• Since you’ll be working on deploying models in production, you are also responsible for upholding a high standard of code quality, and writing and maintaining documentation and tests for the code you write and models you develop.
  

Requirements

Basic Qualifications

• Degree in Computer Science or related field from a top university. Preference will be given to candidates with MS or PhD degrees. 
  

• 2-4 years experience in Machine Learning or similar roles
  

Skills we are Looking For

• Proficiency in data mining and machine learning techniques
  

• Understanding of basic software engineering design principles, and the ability to write clean, well-structured, maintainable and testable code
  

• Experience with Python and its machine learning/data mining toolkits, such as pandas, scipy, numpy, scikit-learn, prophet, xgboost, tensorflow and pytorch on Linux
  

• Experience using data science notebooks like Jupyter
  

• Good presentation and communication skills, and ability to interact with customers.
  

Preferred Qualifications

• Experience with SQL and NoSQL databases
  

• Experience in working with Big Data systems (such as Databricks, Kafka, Flink, etc.).
  

• Experience in distributed ML techniques (such as Ray)
  

• Experience in telecommunications, financial services, or retail domains
  

• Experience in other programming languages, especially Javascript
  

• Knowledge of data visualization packages, in Python and outside
  

• Experience in BI tools like Tableau, PowerBI, Apache Superset, etc.
  

• Have an AWS (or Azure or GCP) ML Certification
  

Benefits

What We Offer 

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team 
  
• An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action 
  
• A fast-paced software development environment that uses the latest open-source tools across the development stack 
  

Benefits