Data Science Sr. Associate

Key Skills

Apache Hadoop, Big Data Technology, Data Mining, Data Modeling, Data science techniques, Data Visualization, Deep Learning, Java Programming, Large scale data processing, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Scala Programming, SQL, VR/AR frameworks

Job Description

Responsibilities:

• Build and train production grade ML models on large-scale datasets to solve business use cases
• Use large scale data processing frameworks to manipulate and extract value from both structured and un-structured data.
• Use Deep Learning models like NLP for solving various business use cases involving forecasting and anomaly detection.
• Perform data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.
• Create data models using best practices to ensure high data quality and reduced redundancy
• Stay current on industry trends and identify opportunities to adopt the latest methodologies into existing implementations
• Market and present proposed solutions to Sr. Business and Technology colleagues

Qualifications:

• Bachelor’s Degree or equivalent experience in Computer Science, Data Science, or equivalent field
• 3 years of experience as a data scientist
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
• Experience with ML languages such as Python, SQL, Scala
• Experience with Big Data Platforms such as Hadoop
• Experience with statistical techniques - i.e. data mining, data transformations, text mining, data visualization
• Outstanding written/verbal communication and presentation skills
• Comfort with ambiguity and proven ability to structure problems
• Team oriented collaborator

Desired Experience:

• Familiar with Financial Services
• Building ML models in a cloud environment