Jobs via eFinancialCareers · 3 days ago

Senior Data Scientist

Houston, TX

Full-time

Hybrid

Senior Level

$170K/yr - $170K/yr

7+ years exp

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Responsibilities

Lead end-to-end data science projects, from problem formulation and data collection to model deployment and result presentation.

Utilize and integrate LLMs (e.g., GPT, BERT) for natural language processing (NLP) tasks such as sentiment analysis, market news analysis, and automated report generation to enhance trading decisions.

Design and implement innovative machine learning algorithms and models to solve complex business problems, such as predictive modeling, recommendation systems, and anomaly detection.

Deliver technical solutions to evolve trading platforms and solve business problems. This involves requirements gathering, identifying priorities, planning tasks, and on-time delivery of solutions.

Qualification

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Data ScienceCommodity TradingEnergy DataFinancial DataStatistical ModelingMachine LearningRegressionClassificationClusteringDeep LearningTensorFlowKerasPyTorchNLP TechniquesTransformersLSTMPython ProgrammingScikit-LearnPandasNumPySciPyProphetNLP LibrariesHugging Face TransformersSpaCyComputer ScienceMathematics

Required

7+ years experience within a Data Scientist position. (commodity trading would be preferred)

Experience working with energy and financial data, such as energy prices, supply and demand data, and economic indicators.

Extensive experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering), deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), and NLP techniques (e.g., transformers, LSTM).

Proficiency in programming languages such as Python, with experience in using libraries like scikit-learn, pandas, NumPy, SciPy, Prophet and NLP libraries (e.g., Hugging Face Transformers, spaCy)

Degree in Computer Science/ Engineering or Mathematics.