Data Scientist (Senior) at Worth AI

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Models, Predictive Modeling, NLP, Computer Vision, Reinforcement Learning, Python, SQL, Data Visualization, Cloud Platforms, Agile Development, Analytical Skills, Communication Skills, Presentation Skills, Data Mining, Model Monitoring

Industry

Financial Services

Description

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 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 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

Responsibilities

Develop machine learning or statistical models in a cloud environment and collaborate with engineering teams for deployment. Present findings to executive and product teams, ensuring models adapt to emerging trends.