Job Opportunity:
Key Responsibilities
* Solve intricate business problems by leveraging cutting-edge machine learning methodologies and techniques.
* Develop data-driven models to enhance trading performance across various domains, including pricing and recommendations.
Primary Tasks and Objectives:
* Design and develop industry-leading data science solutions by defining data requirements, extracting relevant data, conducting exploratory data analysis, designing scalable and efficient data-driven solutions, collaborating with MLOps teams, devising robust testing plans, and communicating results to stakeholders.
* Collaborate with the revenue function to ensure they have necessary tools, models, and resources for optimizing trading performance.
* Support the broader organization with BAU tasks related to data science services or designing new data-driven solutions to address complex business challenges.
Required Skills and Qualifications:
* Undergraduate, M.S., or Ph.D. in a quantitative field, accompanied by 3+ years of experience in a relevant role.
* Strong understanding of statistical modeling, algorithms, data mining, and machine learning workflows.
* Proficiency in writing structured, robust, and readable code in Python.
* Proficiency in SQL and experience working with relational databases.
* Ability to create compelling visualizations and dashboards (e.g., Tableau, Thoughtspot).
* Knowledge of Git and modern development workflows.