Senior Data Scientist

Posted 8 days agoViewed

💎 Seniority level: Senior, 7+ years

📍 Location: United States

🔍 Industry: Financial services

🏢 Company: iGenius👥 101-250💰 $20,161,290 Series A over 2 years agoArtificial Intelligence (AI)Business Intelligence Analytics Information Technology

⏳ Experience: 7+ years

🪄 Skills: AWSPythonCloud ComputingMachine LearningNumpyPyTorchData sciencePandasTensorflow

Requirements:

Advanced degree (Ph.D. or Master’s) in Computer Science, Finance, Mathematics, or a related field.
7+ years of experience in AI and machine learning, with at least 3 years in the financial sector.
Good knowledge in applied machine learning fields such as Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, or Knowledge Graph.
Experience with Transformer/Attention architecture for various NLP tasks.
Superb Python programming skills with experience in data science libraries like NumPy, Pandas, and Scikit-learn.
Proficiency in TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).
Strong understanding of financial workflows, including portfolio management and risk assessment.
Excellent leadership, problem-solving, communication skills.

Responsibilities:

Research, develop, and implement cutting-edge machine learning models, focusing on NLP, predictive analytics, and AI governance.
Collaborate with Financial SMEs to ensure AI models align with industry practices and regulatory frameworks.
Design scalable MLOps pipelines for real-time AI applications.
Lead the research and deliver agentic AI Systems capable of delivering complex tasks such as optimizing portfolio construction and evolving trading strategies.
Ensure adherence to Responsible AI principles, prioritizing transparency, fairness, and accountability.
Mentor junior data scientists and provide technical guidance to cross-functional teams.

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