Opening For Data Scientist role

Data Scientist (Algorithm & Machine Learning Focused)

Exp - 7+ Years We are seeking a highly skilled Data Scientist with a strong foundation in machine learning, analytics, and algorithmic problem-solving. The ideal candidate will have expertise in data structures and algorithms (competitive coding level) along with hands-on experience in building and deploying scalable data science solutions. This role requires working across the full lifecyclefrom model development to production implementationwithin the finance and market domain.

-Develop and implement mathematical models and algorithms to solve complex business problems. -Design, train, and optimize machine learning models for predictive analytics and decision-making. -Apply strong data structures and algorithmic concepts to build efficient and scalable solutions. -Analyze large datasets to extract meaningful insights and support business strategies. -Work on financial and market data for use cases such as forecasting, risk analysis, and pattern detection. -Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions. -Manage end-to-end model lifecycle including data processing, model building, validation, deployment, and monitoring. -Implement MLOps practices to ensure smooth deployment and scalability of models. -Create visualizations and reports to communicate insights effectively to stakeholders. -Ensure data quality, integrity, and model performance optimization.

&

-Strong proficiency in Data Structures & Algorithms (competitive coding level preferred). -Hands-on experience with Python and SQL. -Solid understanding of machine learning techniques, statistics, and model evaluation. -Experience handling large datasets and performing data analysis. -Exposure to finance/market domain is preferred. -Experience in model deployment, MLOps, and production environments. -Strong analytical thinking and problem-solving skills. Preferred Skills Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with real-time systems or high-performance data processing.