Job Discription
Are you an accomplished and driven Data Scientist seeking an amazing opportunity? We invite you to join 87TR, a proprietary trading firm, and make a valuable contribution to our team.
As a Data Scientist in the financial industry, your role will involve developing and implementing data-driven solutions to tackle complex problems and extract valuable insights from diverse financial and alternative data sources. Your expertise in Python programming and machine learning modelling will be instrumental in augmenting our organization’s data-driven decision-making processes.
Envision yourself as an integral part of a team where we deeply appreciate your programming expertise and data science capabilities, harnessing them to their maximum potential. This part-time position offers flexibility, enabling you to balance your work commitments with other pursuits while engaging in exciting and impactful projects.
Join us now and make a significant impact within our Research Department. Your passion for data science will play a vital role in our organization’s success, propelling us forward in the ever-evolving world of proprietary trading. Seize this exceptional opportunity to showcase your talents and thrive in a stimulating environment where your skills will shine.
What You’ll Do
Develop and maintain Python-based software applications, tools, and frameworks for data analysis, visualization, and machine learning.
Design, implement, and optimize data pipelines for collecting, cleaning, and transforming structured and unstructured data from diverse sources.
Apply statistical analysis techniques and data mining algorithms to extract actionable insights from large datasets.
Perform exploratory data analysis to uncover trends, patterns, and correlations in data sets.
Build and deploy predictive models, machine learning algorithms, and statistical models to solve business problems.
Evaluate and select appropriate data science and machine learning libraries, frameworks, and tools.
Conduct rigorous testing and validation of models to ensure accuracy, reliability, and scalability.
Doent code, methodologies, and findings to facilitate knowledge sharing and collaboration.
Stay up-to-date with the latest trends and advancements in Python programming, data science, and machine learning.
Candidate Requirement
Our Best Candidate
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
Strong mathematical and statistical background, with a deep understanding of statistical concepts and methodologies.
Experience in building robust data architectures to support data analysis and modeling processes effectively.
Proven track record of successfully deploying and managing machine learning models in production, including monitoring, performance optimization, and scalability considerations.
Experience in developing and implementing machine learning models and algorithms.
Solid understanding of data structures, algorithms, and software design principles.
Excellent problem-solving skills and the ability to analyze complex datasets.
Strong communication and collaboration skills to work effectively in a team environment.
Detail-oriented mindset with a focus on delivering high-quality results.
Availability to work part-time hours in GST timezone and flexibility to adapt to changing project requirements.
Ideally, prior experience in data science with a focus on financial data analysis and economic modeling.
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