Description

You will execute complex analytical projects and deliver high-value enterprise solutions within the finance domain.

Responsibilities

• Execute complex analytical projects from inception to delivery.
• Apply machine learning techniques, classifiers, and statistical methods to solve business problems.
• Implement natural language processing techniques, including sentiment analysis and word embeddings.
• Communicate project benefits, costs, and risks to business stakeholders and IT partners.
• Manage technical workflows and coach stakeholders across multiple departments.

Required Skills

• 2-5 years of professional experience as a data scientist.
• 2+ years of experience specifically in text analytics.
• Strong programming proficiency in Python, TensorFlow, Scikit-learn, CUDA, and pandas.
• Hands-on experience with natural language processing (NLP).
• Knowledge of Big Data architectures and cloud computing.
• Advanced degree in mathematics, data science, or a quantitative discipline, or equivalent experience.
• Experience with data visualization tools such as Tableau or Kibana.

Preferred Skills

• Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka, or MongoDB.
• Experience with Speech-to-Text technologies.

Key Skills

Education

Any Graduate