Description

You will execute complex analytical projects and implement machine learning techniques to drive enterprise value.

Responsibilities

• Execute complex analytical projects with clear articulation of benefits, costs, and risks.
• Apply machine learning techniques, classifiers, and statistical methods to solve business problems.
• Implement natural language processing techniques, including sentiment analysis and word embeddings.
• Communicate technical findings and project status to business stakeholders, IT, and external partners.

Required Skills

• 5+ years of professional experience as a data scientist.
• 2+ years of experience specifically in text analytics.
• Proficiency in Python, TensorFlow, Scikit-learn, CUDA, and pandas.
• Hands-on experience with natural language processing and word embeddings.
• Deep understanding of machine learning techniques and statistical methods.
• Knowledge of Big Data architectures and cloud computing.
• Advanced degree in mathematics, data science, or a quantitative discipline, or equivalent experience.

Preferred Skills

• Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka, or MongoDB.
• Experience with speech-to-text technologies.
• Proficiency with data visualization tools such as Tableau or Kibana.

Key Skills

Education

Any Graduate