Senior Data Scientist

Key Skills

Aartificial intelligence, AWS, Caffe, Cloud computing, Data Analysis, Data cleaning / Data cleansing, Data science techniques, Deep Learning, Finance, Machine learning techniques, Natural Language Processing (NLP), Predictive Modeling, Python Programming, PyTorch, R Programming, Spark Core, SQL, TensorFlow

Job Description

Senior Data Scientist

Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business? Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership? This role will be part of the FBT Artificial Intelligence Squad. This squad is responsible for driving AI solutions helping operations, service and technology partners across FBOT.

The Expertise and Skills You Bring (The order of these bullets does not matter)

• Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
• 5+ years of prior work experience as a data scientist
• Proficiency in the entire Predictive Modeling life cycle – From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation, Operationalization and Scalability of scientific techniques and establishing decision strategies.
• Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, NLP, feature selection/reduction, clusteri1ng, parameter tuning, etc.)
• Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross-functional teams. Two to four successfully launched ML projects would be ideal.
• Programming skills in Python, SQL, Spark, R
• Hands on experience on using AWS framework is a plus
• Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is preferred.
• Experience in the financial domain and familiarity with financial models are highly desirable.
• Ability to partner closely with a diverse set of business collaborators to identify needs and deliver AI/ML solutions.

Implement new technologies in a production environment with product, IT, and data engineering teams.