Data Scientist-CN Remote

Doo Group logo

Doo Group

View Salaries, Reviews, and more  

Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Django MySQL SQL kafka Airflow NumPy PyTorch Pandas Analytics TensorFlow ETL

Job Description

Data Science & Machine Learning

• Lead end-to-end data science projects from design to production.

• Develop machine learning and statistical models for anomaly detection, trading behaviour

classification, risk prediction, and portfolio analytics.

• Perform feature engineering on tick-level trading data and large-scale time-series datasets.

• Conduct model evaluation, backtesting, performance optimization, and documentation.

Database & Data Engineering

• Work extensively with MySQL, OceanBase, and other low-latency databases to process tick-level

and high-frequency datasets.

• Optimize SQL queries and indexing strategies for ultra-fast execution.

• Design and maintain high-performance ETL/ELT pipelines for structured and unstructured data.

Real-Time Processing & Automation

• Build and manage real-time analytics pipelines using Kafka (producers, consumers, streaming).• Develop automated workflows and batch pipelines using Airflow or similar task schedulers.

• Implement monitoring systems for data quality, latency, and pipeline health.

Application & Dashboard Development

• Build internal analytics applications and dashboards using:

- Django (backend APIs, services)

- Streamlit (interactive analytics dashboards)

- Custom widgets and data visualization tools

• Work closely with risk, quant, and trading teams to translate business needs into scalable

technical solutions.


What we’re looking for:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a

related field.

• 3–5 years of hands-on data science project experience (production-ready).

• Expertise in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow is a plus).

• Strong experience with MySQL, OceanBase, and low-latency database environments.

• Proven experience building ETL pipelines and optimizing complex SQL queries.

• Familiarity with tick-level market data, market microstructure, and time-series analysis.

• Experience with:

- Kafka for real-time data streaming

- Airflow for workflow automation

- Django / Streamlit for web & dashboard development

• Strong analytical thinking with a problem-solving mindset.

• Ability to work independently in a fast-paced trading environment.

• Good command of Mandarin; English is a plus.


Interview Questions of Data Scientist-CN Remote at Doo Group

Currently, there aren't any interview questions for this role at Doo Group shared by other job seekers.
View more interview questions of similar roles from other companies →
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Salary Insights of Data Scientist-CN Remote at Doo Group

Currently, there aren't any salaries for this role at Doo Group shared by other job seekers.

View more salaries from Doo Group →

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now