The Senior Data Scientist will develop machine learning models, monitor their performance, present findings to executives, and collaborate with engineering teams.
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
Top Skills
AWS
Azure
GCP
Keras
Numpy
Power BI
Python
PyTorch
R
Scikit-Learn
Scipy
SQL
Statsmodels
Tableau
TensorFlow
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.
Top Skills:
AWSAzureGCPPythonRSnowflakeSQLTableau
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.
Top Skills:
PythonSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.
Top Skills:
PythonRSQLTableau
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
