Worth AI is looking to revolutionize decision-making with the power of artificial intelligence by hiring a Senior Data Scientist to develop machine learning or statistical models for analytic or product solutions.
Requirements
Knowledge of and professional development experience with common Machine Learning or Statistical techniques and their uses. Examples include Linear Regression, Ensemble Models, Density Based Scanning, Association Modeling, Topic Modeling, Monte-Carlo Simulation, Time Series Analysis and Forecasting, etc
Python and SQL languages, but will also consider R language or similar languages
Experience with popular machine learning or statistical modeling packages such as scikit-learn, tensorflow, keras, pytorch, scipy, numpy, statsmodels or their equivalent packages in R
Experience with cloud platforms (AWS, Azure, or GCP)
Responsibilities
Actively develop (code) machine learning or statistical models in a cloud environment, and work with engineering teams to deploy and optimize them in a production state
Connect systems and large data sets across the company to develop predictive models that adjust to emerging customer, economic, and business trends
Monitor performance of models with respect to accuracy and retrain as necessary, while also leveraging new data sources as they become available
Mine data from multiple source systems to support internal analysis as required
Regularly present or demo recent work to executive and product teams
Other
4+ years of work experience with a Bachelor Degree (or equivalent four-year degree), or 2+ years of work experience with a Masters Degree (or equivalent six-year degree), or a PhD in a data or technology intensive field
Strong analytical skills with high attention to detail and accuracy
Excellent verbal, written, and interpersonal communication skills along with solid deck or demo presentation skills
Data Visualization tools such as Tableau or PowerBI
Knowledge of Agile development methodology (Scrum or Kanban)
Professional background in Financial Services, Financial Technology, Banking, Credit Risk or similar
