Data Scientist (Senior)

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 • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance • Flexible 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 Apply tot his job