Data Scientist

Exploring data and building ML models to solve business problems

ML & AI Engineering Junior Middle Senior Lead / Staff Principal
完整矩阵 职业路径 PDF
78 技能
5 级别
101 必备
389 要求

Data Scientist是ML & AI Engineering族群中的角色。涵盖5个级别的78项技能（从Junior到Principal）。其中101项为必备技能。关键领域：Programming Fundamentals, Backend Development, Database Management。

技术栈

Junior Python 3.11+, pandas, numpy, matplotlib/seaborn, scikit-learn, Jupyter, SQL
Middle Python, scikit-learn, XGBoost/CatBoost/LightGBM, PyTorch basics, Optuna/Hyperopt, MLflow, SQL advanced, Spark basics
Senior PyTorch/JAX, Transformers (HuggingFace), Deep Learning advanced, Causal Inference, Bayesian methods, Spark, LLM fine-tuning
Lead / Staff DS Platform, Experiment tracking, Model governance, LLM orchestration (LangChain), Automated ML (AutoML)
Principal Research infrastructure, LLM strategy, Multi-modal AI, Publishing pipeline

各级别重点

Junior

Exploratory Data Analysis (EDA). Building baseline models. Feature engineering. Data visualization. Preparing reports.

Middle

Formalizing business problems as ML tasks. Building and validating models. A/B testing. Presenting results to stakeholders.

Senior

Researching new approaches (NLP, CV, RecSys). Designing experiments. Publishing results. Mentoring. Cross-functional collaboration.

Lead / Staff

Data Science strategy. Prioritizing ML projects by business impact. Coordinating DS and Engineering. Experimentation standards.

Principal

AI research strategy. Conference publications. Building DS culture. LLM/GenAI adoption strategy.

技能矩阵

78 技能 × 5 级别. 点击单元格查看详情。

A Awareness W Working V Advanced E Expert

AI-Assisted Development

4 技能
技能 Jun Mid Sen Lead Princ
GitHub Copilot A W A E E
Cursor IDE A W A A —
ChatGPT / Claude A W A E E
Prompt Engineering for Code A W A E E

API & Integration

3 技能
技能 Jun Mid Sen Lead Princ
REST API Design A W A E E
GraphQL Design A W A E E
API Documentation A W A E E

Architecture & System Design

1 技能
技能 Jun Mid Sen Lead Princ
System Design Fundamentals A W A E E

Backend Development

2 技能
技能 Jun Mid Sen Lead Princ
Python Web Frameworks A W A E E
Redis A W A E E

Cloud & Infrastructure

4 技能
技能 Jun Mid Sen Lead Princ
Docker A W A E E
Kubernetes Core A W A E E
AWS A W A E E
Network Fundamentals A W A E E

Data Engineering

6 技能
技能 Jun Mid Sen Lead Princ
Apache Spark A W A E E
Pandas / Polars A W A E E
SQL-based ETL A W A E E
Data Quality A W A E E
BI Dashboards A W A E E
Data Visualization A W A E E

Database Management

5 技能
技能 Jun Mid Sen Lead Princ
PostgreSQL A W A E E
Advanced SQL A W A E E
ClickHouse A W A E E
Database Indexing A W A E E
Query Optimization A W A E E

DevOps & CI/CD

1 技能
技能 Jun Mid Sen Lead Princ
GitHub Actions / GitLab CI A W A E E

Machine Learning & AI

35 技能
技能 Jun Mid Sen Lead Princ
Classical ML (scikit-learn) A W A E E
Gradient Boosting A W A E E
Bayesian Methods A W A E E
Dimensionality Reduction A W A E E
Ensemble Methods A W A E E
Experiment Design A W A E E
Feature Engineering A W A E E
Hypothesis Testing in ML A W A E E
Jupyter Notebooks A W A E E
Pandas / NumPy A W A E E
Python Programming A W A E E
scikit-learn A W A E E
Statistical Analysis A W A E E
Time Series Analysis A W A E E
PyTorch A W A E E
Reinforcement Learning A W A E E
TensorFlow / PyTorch A W A E E
Transfer Learning A W A E E
Deep Learning A W A E E
Neural Network Architectures A W A E E
Transformers & NLP A W A E E
Natural Language Processing A W A E E
Recommender Systems Fundamentals A W A E E
MLflow A W A E E
Feature Stores A W A E E
Model Serving A W A E E
Experiment Tracking A W A E E
ML Pipelines A W A E E
ML Deployment A W A E E
ML Experiment Tracking A W A E E
ML Model Evaluation A W A E E
Model Monitoring A W A E E
LLM Applications A W A E E
LLM Fine-tuning A W A E E
LLM Prompt Engineering A W A E E

Observability & Monitoring

3 技能
技能 Jun Mid Sen Lead Princ
Structured Logging A W A E E
Prometheus & Grafana A W A E E
OpenTelemetry A W A E E

Programming Fundamentals

7 技能
技能 Jun Mid Sen Lead Princ
Algorithms & Complexity A W A E E
Data Structures A W A E E
OOP & SOLID Principles A W A E E
Design Patterns A W A E E
Multithreading A W A E E
Async Programming A W A E E
Code Quality & Refactoring A W A E E

Security

2 技能
技能 Jun Mid Sen Lead Princ
OWASP & Application Security A W A E E
Secure Coding Practices A W A E E

Testing & QA

3 技能
技能 Jun Mid Sen Lead Princ
Unit Testing A W A E E
Unit Testing A W A E E
Integration Testing A W A E E

Version Control & Collaboration

2 技能
技能 Jun Mid Sen Lead Princ
Git Advanced A W A E E
Code Review A W A E E
📊 在矩阵中打开

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常见问题

Data Scientist角色需要哪些技能？

Data Scientist角色需要78项技能，其中101项为必备。技能分布在5个级别：从Junior到Principal。 查看完整矩阵.

如何在Data Scientist角色中晋升到下一级别？

使用等级计算器评估您当前的级别并获取个性化建议。系统将显示晋升所需发展的技能。

Data Scientist角色使用什么技术栈？

技术栈包含5种不同级别的技术。 Python 3.11+, pandas, numpy, matplotlib/seaborn, scikit-learn, Jupyter, SQL, Python, scikit-learn, XGBoost/CatBoost/LightGBM, PyTorch basics, Optuna/Hyperopt, MLflow, SQL advanced, Spark basics, PyTorch/JAX, Transformers (HuggingFace), Deep Learning advanced, Causal Inference, Bayesian methods, Spark, LLM fine-tuning...

社区如何定义Data Scientist角色的要求？

角色要求由社区通过提案系统制定。任何成员都可以提出修改建议，经过投票和专家评审后生效。

社区

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