Data Scientist
8 months ago
**Data Scientist Role**:
**Introduction**
Creed&Bear is a dynamic fintech firm dedicated to pioneering secure AI solutions for digital asset trading. Our mission is to enhance clients' experiences through advanced algorithms. In today's fast-evolving fintech landscape, the role of a Data Scientist is crucial. Financial markets are data-rich, complex, and influenced by nuanced sentiments, making data science and machine learning vital for success.
**Context**
At Creed&Bear, the financial industry's intricate landscape is navigated through the strategic utilization of both data science and machine learning. In this dynamic context, Data Scientists are pivotal. They bring fresh perspectives to trading strategies, deploying adaptive algorithms that optimize decisions, manage risks, and assess market sentiment from structured and unstructured data. These professionals play a vital role in understanding market dynamics, mitigating risks, and ensuring continuous innovation. By incorporating data science and machine learning insights, our Data Scientists enable us to harness big data, deliver data-driven insights, and empower clients to succeed in the digital asset trading world.
**Responsibilities**:
- **Data Acquisition & Preprocessing**:
- Source and integrate high-frequency financial data (e.g., stock prices, forex rates, market indicators) from various sources (APIs, databases).
- Clean, transform, and engineer time series data for effective analysis using Python, SQL, and specialized libraries.
- Implement robust data quality checks and ensure data integrity throughout the pipeline.
**Time Series Analysis & Modeling**:
- Design and implement Datasets for deep learning models (based on LSTMs, Transformers) for forecasting, anomaly detection, and pattern recognition in financial time series.
**AI for Financial Applications**:
- Leverage your expertise to build AI-powered solutions that address specific business challenges (e.g., algorithmic trading, risk management).
**Requirements**:
Applicants should possess the following skills and experience:
- Strong theoretical and practical knowledge of data science principles, including statistical methods, data mining, machine learning, Time-Series Analysis, and NLP.
- Expertise in various data science tools and techniques, such as Python, SQL, Hadoop, and Spark.
- Proficiency in data collection, cleaning, and preprocessing, including handling missing values, outliers, and data inconsistencies.
- Ability to design, develop, and implement machine learning algorithms for various tasks, including classification, regression, and clustering.
- Experience in evaluating and optimizing machine learning models using relevant metrics and techniques.
- Strong ability for conducting hypothesis testing, and interpreting results.
- Effectively communicate complex data insights and findings to technical and non-technical audiences (e.g., presentations, reports, visualizations).
- Strong communication and collaboration skills to effectively share findings with stakeholders and collaborate with cross-functional teams.
- Ability to work independently and manage multiple projects simultaneously while maintaining high quality and meeting deadlines.
- Actively document your work and share knowledge within the team.
- Passion for data and a strong desire to solve real-world problems using data science, machine learning, deep learning, and cutting-edge algorithms.
**Bonus Points**:
- Experience in the Fintech industry or related domain
- Familiarity with financial markets and instruments
- Contribution to open-source projects or publications related to time series analysis or Transformers-based models and other State-Of-The-Art models
- Strong written and verbal communication skills
Application Question(s):
- How many years of work experience do you have with Python (Programming Language)?
- Do you possess strong theoretical and practical knowledge of data science principles, including statistical methods, data mining, machine learning, Time-Series Analysis, and NLP?Do you possess strong theoretical and practical knowledge of data science principles, including statistical methods, data mining, machine learning, Time-Series Analysis, and NLP?
- Are you experienced in using various data science tools and techniques, such as Python, SQL, Hadoop, and Spark?Are you experienced in using various data science tools and techniques, such as Python, SQL, Hadoop, and Spark?
- Do you have a passion for data and a strong desire to solve real-world problems using data science, machine learning, deep learning, and cutting-edge algorithms?Do you have a passion for data and a strong desire to solve real-world problems using data science, machine learning, deep learning, and cutting-edge algorithms?
- What are your salary expectations in AED Per Month?
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