Vacancy expired!
- Data science background. 2+ years ideally would be in a data science Field.
- Ideally looking for Masters; If not a masters, quick learner ability- Self identifies as quick learner. Would be great to find PhD
- Experience with Python.
- Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.).
- Needs candidates that are very driven and have strong problem solving ability.
- Self-motivated, self starer mentality, entrepreneurial skills, intellectual curiosity.
- Preferred Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
- Advanced knowledge in model evaluation, tuning and performance, 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, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
- Experience in evaluating and making decisions around the use of new or existing tools for a project.
- Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams. Three to five successfully launched ML projects would be ideal.
- Programming skills in Python, Spark, Scala, R, SQL, or MatLab
- Experience in the financial domain and familiarity with financial models are highly desirable
- Ability to partner closely with a diverse set of business partners to identify needs and deliver solutions
- Ability to gather and analyze large amounts of information expeditiously. Develop compelling and insightful recommendations to inform strategi research decisions by leaders and teams.
- Ability to improve the diversity of thought of the broader AI team through your background and/or experience
- Proven expertise synthesizing and presenting research/technical findings to diverse audiences
- Your solid skills in algorithm development and predictive modeling
- Your deep knowledge of some combination of the following:
- Natural Language Processing (NLP)
- Deep Learning, Neural Networks
- Reinforcement Learning
- Real Time Event Detection and Scoring
Vacancy expired!