Data Scientist (Senior)

Worth AI, a prominent player in the computer software industry, is seeking a highly experienced and talented individual to join their team as a Senior Data Scientist. Worth AI is dedicated to transforming decision-making by harnessing the power of AI while promoting equity, diversity, and inclusion. With core values centered around diversity of thought, teamwork, and adaptability, Worth AI is committed to making a positive impact in the business world.

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.

• 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

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance
• Unlimited/Flex Paid Time Off
• 9 paid Holidays
• Family Leave
• Work From Home
• Free Food & Snacks (for those who choose to come to our Orlando office)
• Wellness Resources