Position: Data Scientist
Company: Deepnet
Experience required: 3y
English level: upper

**About company and project:**

Headquarter: Dubai, UAE - Zug, Switzerland.

About the company: Wisdomise is a cross-chain DeFi social investment platform, powered by an ecosystem of investors, strategists, and AI algorithms, and governed by a sophisticated tokenomics and DAO structure.

Company's mission: Our mission is “to tokenize the wisdom of crowds” to make everyone on earth wiser with their investments. We begin this revolution by fundamentally enhancing retail trading through the wisdom of crowds and advanced AI, ML, and blockchain technologies and making it more “social”, “simple”, and “smart” for masses. Our ultimate goal is “to democratize wealth management” in a decentralized world.

Specification of client's product: Blockchain and DeFi.

http://www.wisdomise.net/

**Responsibilities:**

- Using Financial time series for building intelligence signal generators (price prediction, market status and bot traders). We use classic machine learning, deep learning and specially Reinforcement learning.
- Build intelligence automatic asset management and portfolio evaluation.
- Research about innovative ways in Financial risk management.
- Work with other team members to analyze models’ performance, make them visualize and tune models.
- Work on automatic strategy for trading and asset management.
- Expert in collecting/gathering data for each purposes.

**Requirements:**

- At least +3 years of work experience in the field of AI/ML or related areas and are experienced in the productionalization of ML framework.
- Experience in Python, particularly concerning AI/ML development (at least 3 years in python)
- Experience in machine and statistical learning, deep learning, and Reinforcement Learning
- Familiar with time-series methods
- Machine learning techniques such as Random Forest, XGBoost, Extratree, SVR, Decision trees, SVM, PCA, LDA...
- Forecasting models using Deep learning algorithms such as FFNN, RNN, LSTM, GRU
- Basic knowledge about Recommender systems
- Experience in Reinforcement Learning and Deep Reinforcement Learning such as DDPG,A2C, TD3, PPO, or any custom RL algorithms 
- Feature selection, extraction techniques
- Worked with financial data such as OHLC and other indicators like MACD, CCI, RSI and ...

**Nice to have:**

- You have done academic or industry research in Financial machine learning
- Having any experience in financial markets specially cryptocurrency and DeFi
- Related financial certification like CFA
-DeFi/Decentralized mindset

**We offer:**

- Work on the really interesting and complex project, using the most advanced technologies;
- 20 days annual leave and 5 paid sick-days per year;
- Accounting services compensation;
- Remote work;
- Work with professional team and friendly atmosphere;
- Minimum of bureaucracy.