We are looking for a Data Scientist that will help drive the technological exploration of Machine Learning and related technologies to address current and future business opportunities.
This person must have strong experience using a variety of data mining/ analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES:
Develop custom data models and algorithms to apply to data sets.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze company and external datasets to drive predictions, micro, macro economical and regulatory trends.
Assess the effectiveness and accuracy of new data sources and data wrangling techniques.
Develop processes and tools to monitor and analyze model performance and data accuracy.
KNOWLEDGE, SKILLS AND ABILITIES:
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
A drive to learn and master new technologies and techniques
Strong understanding of ML cloud services and infrastructure, including how to leverage them and experience with SaaS infrastructure technologies (AWS preferred)
Ability to quickly assimilate, organize, analyze, abstract, and synthesize large amounts of information and to make decisions based on this analysis
Excellent written and verbal communication skills
Strong presentation skills
Comfortable working in a dynamically and changing environment
Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions
Master’s degree (MS) in computer science or equivalent experience is required.
2-5 years of data science experience using machine learning
Experience in data monetization projects.
Experience in economic and/or regulated business domains preferred.
Experience in solving complex real world problems (focus on economics, and regulatory industries) using advanced analytics, statistical analysis, machine learning, and algorithms that drive value realization.