Job Information
ICONMA, LLC Data Science/Machine Learning developer in United States
Typically over 10 years of related IT experience.
Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting, Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users.
The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations for Treasury team.
2 - 5 years of professional experience as a data scientist executing complex analytical projects
2 + years of text analytics experience
Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas
Knowledge of Big Data Architectures and Cloud computing
Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus
Experience with data visualization tools like Tableau, Kibana, etc.
Knowledge of machine-learning techniques, classifiers and statistical methods
Hands-on experience with natural language processing techniques including Sentiment analysis, Word embeddings
Experience with Speech-to-Text is a plus
Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline
Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk
Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners
Desire to use modern technologies as a disruptive influence within the Finance domain
Required (hard) skills/experience
Python
Machine Learning (Classification, Regression algorithms)
Deep Learning (Neural Networks, Transformers)
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.