Data Scientist (Senior)

Worth AI • Full-time • Remote (Atlanta, GA, US) • 2m ago

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Data Scientist to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

Seeking a Senior Data Scientist with experience developing machine learning or statistical models used for analytic or product solutions. Applications of models can include predictive modeling, forecasting, classification, clustering / entity segmentation, or inferential analysis. Backgrounds in NLP / NLU, Computer Vision, and applications of Reinforcement Learning will also be considered. The ideal candidate will also be comfortable presenting work to an executive audience of both data and non-data practitioners, and be able to distill complex topics or findings into actionable insights and strategic recommendations.

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

Requirements

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
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
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
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of Agile development methodology (Scrum or Kanban)
Professional background in Financial Services, Financial Technology, Banking, Credit Risk or similar

Benefits