Data Scientist
22 hours ago
About us:
We are a quantitative research firm focused on developing innovative financial strategies and leveraging advanced analytics to understand global markets. Our work combines deep research, statistical modeling, and technology to identify opportunities and create value. By fostering a collaborative and intellectually curious environment, we aim to push the boundaries of quantitative research and trading.
Responsibilities:
- Analyze large and complex datasets to derive actionable insights and drive business decision-making.
- Develop predictive models and machine learning algorithms to identify trends and patterns.
- Collaborate with cross-functional teams to implement data-driven strategies and solutions.
- Ensure data integrity and accuracy, and address any data-related issues.
- Stay updated with the latest technologies and techniques in data science and machine learning.
- Present findings and insights to stakeholders and senior management.
Qualifications:
- Bachelor's or Master's degree in Data Science, Engineering, Operations Research, Statistics, Computer Science, or a related field.
- Proven experience as a Data Scientist or similar role.
- Strong knowledge of machine learning algorithms, statistical modeling, and data analysis techniques.
- Proficiency in Python, R, and SQL. Familiarity with libraries such as TensorFlow, Keras, Scikit-learn, and Pandas.
- Experience with big data technologies like Hadoop, Spark, and Hive.
- Strong understanding of statistical modeling, machine learning, deep learning, and data mining concepts.
- Knowledge of cloud platforms like AWS, Azure, or GCP, and experience with deploying ML models in production environments.
- Excellent problem-solving and communication skills, with a knack for complex data challenges.
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