JPMorgan Software Engineer III - Data Scientist 

India, Karnataka, Bengaluru 

411714766

Job responsibilities

• Develop and implement predictive models and machine learning algorithms to solve business problems.
• Validate and refine models to ensure accuracy and reliability.
• Clean, preprocess, and organize data for analysis.
• Develop and maintain data pipelines to ensure efficient data flow and accessibility
• Create clear and compelling data visualizations to communicate findings.
• Develop and present reports and dashboards to stakeholders.
• Work closely with cross-functional teams, including product managers, engineers, and business analysts.
• Communicate complex technical concepts to non-technical stakeholders.
• Stay updated with the latest advancements in data science and machine learning.
• Continuously improve processes, tools, and methodologies to enhance data science capabilities.
• Analyze large and complex data sets to identify patterns, trends, and insights.
• Interpret data to provide actionable recommendations to stakeholders

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Regression and Classification models, Ensemble Methods, model evaluations
• Fully connected and Sequence Deep Learning model,Tensorflow/Pytorch
• NLTK, Spacy, Huggingface transformer.NLP classification, sentiment analysis, Named Entity Recognition, Autoencoder.Working experience in Model Monitoring, Explainable AI (XAI) and MLOps Lifecycle
• Data drift, concept drift.Explainability, Causal Analysis, Model fairness.Model deployment, model and data version. Excellent problem-solving abilities.
• Proven experience in building and deploying machine learning models.
• Proficiency in programming languages such as Python
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong skills in SQL and experience with databases.Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib)
• Strong statistical and mathematical skills.Ability to analyze and interpret complex data sets.
• Experience in Anomaly Detection, NLP.Anomaly Detection techniques using ML and DL

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.
• Good to have: experience in LLM
  • LLM Architecture, fine tune models, LLM evaluation
  • RAG, Vector DB, Deploying LLM