Senior Data Scientist - ML Expert for Trading Analytics | Remote

Are you a data scientist who thrives on deciphering complex patterns within financial trading data? We seek an analytical virtuoso to join our team—someone who can architect sophisticated machine learning models that propel our trading products to unprecedented heights. Your prowess in Python, statistical methodologies, and predictive algorithms will transform raw data into actionable trading intelligence. Key Responsibilities - Liaise with Business stakeholders to comprehend evolving requirements and assess how product modifications influence existing ML solutions; maintaining clear communication channels throughout project lifecycles. - Amplify the efficacy of current machine learning implementations through algorithmic refinement, feature engineering, and hyperparameter optimization—achieving measurable performance gains. - Conceptualize and engineer next-generation predictive frameworks focused on user behavior metrics, including (but not limited to) churn propensity, conversion probability, and customer lifetime value (LTV) forecasting. - Transition experimental models into robust production systems by crafting scalable data preprocessing pipelines, deploying reliable prediction services, and establishing seamless business integration pathways. - Execute meticulous exploratory data analysis (EDA) on client behavioral datasets utilizing Python, SQL, and PySpark to unearth previously unrecognized patterns and actionable intelligence. - Devise and implement automated tools for comprehensive ML model lifecycle management—encompassing training, validation, deployment, monitoring, and version control. - Enrich the company's intellectual capital through detailed documentation of methodologies, empirical findings, and technical approaches that facilitate knowledge transfer. Required Skills - 1-3 years of demonstrable experience in conceptualizing and implementing machine learning solutions that address tangible business challenges. - Upper-Intermediate to Advanced English proficiency—both written articulation and verbal discourse. - Exceptional command of Python 3.10+ ecosystem, particularly data manipulation libraries (pandas, NumPy), machine learning frameworks (scikit-learn 1.2+), and statistical packages (statsmodels, SciPy). - Sophisticated SQL capabilities for complex data extraction, transformation, and querying across diverse database architectures. - Practical mastery of Git workflows for version control, branch management, and collaborative development practices. - Academic credentials in quantitative disciplines: Data Science, Computer Science, Applied Mathematics, Statistics, or equivalent analytical field (Bachelor's degree minimum). - Demonstrated aptitude for translating intricate technical concepts into comprehensible business narratives that resonate with non-technical stakeholders. Nice to Have - Hands-on experience with neural network frameworks, especially PyTorch 2.0+ for developing deep learning applications. - Proficiency leveraging PySpark for distributed data processing across large-scale datasets that exceed single-machine capacity. - Docker containerization expertise for creating consistent, reproducible, and portable development environments. - AWS cloud computing acumen, particularly with SageMaker for model training/deployment, Lambda for serverless computing, and S3 for data storage solutions. - Previous involvement in developing client scoring models, credit assessment algorithms, or risk quantification systems. - Noteworthy participation in Kaggle competitions, showcasing practical machine learning problem-solving capabilities. - Comprehension of financial market dynamics, trading mechanisms, or fintech performance metrics that influence business decisions. - Experience designing and executing A/B testing protocols to empirically validate model effectiveness and business impact. Why Join Our Team Become part of a progressive data science collective where your analytical contributions directly influence financial outcomes! You'll operate at the intersection of cutting-edge machine learning technologies and practical business applications—continuously expanding your technical repertoire while tackling intellectually stimulating challenges. We provide not merely employment, but a growth trajectory: competitive remuneration, location-independent work flexibility, and the opportunity to collaborate with accomplished professionals who share your passion for data-driven innovation. Your algorithmic insights will help shape the future of intelligent decision-making in the trading industry... where impact is measurable and excellence is recognized.