Senior Data Scientist (hybrid)
Senior Data Scientist (hybrid)
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Job Description
Founded in 1993 and headquartered in Austin Texas Baxter Planning is a dynamic and rapidly global growing company setting the standard for SaaS in the service supply chain space. With a world-class SaaS platform BaxterPredict and unique PaaS (Planning as a Service) solutions our technologies and professionals help enterprise customers plan billions in service parts inventory every day enabling them to drive inventory reduction while delivering improvements in service levels.
Baxter Planning combines the flexibility of a start up with the stability of an established company leveraging more than 30 years of industry expertise to support a rapidly growing customer base. We offer excellent benefits an exciting and supportive work environment and work-life balance.
As a Senior Data Scientist you will lead the development of advanced machine learning modelsparticularly for time series forecastingusing algorithms such as ARIMA LSTM XGBoost and other state-of-the-art techniques. You will design and deploy ML engines as microservices in cloud environments (primarily AWS) leveraging services like SageMaker Lambda Glue and EC2. In this role youll also help build scalable ML infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation and contribute to robust model lifecycle management with MLOps tools like MLflow DVC or SageMaker. This is a hands-on production-focused role that blends strong modeling skills with engineering best practices to deliver impactful data-driven solutions.Responsibilities:
- Develop end to end ML solutions using Python.
- Create and perform experiments to evaluate innovative solutions using AI and ML.
- Create and maintain e2e ML pipelines
- Work with costumers and product teams to create innovative solutions using ML models
Qualifications and skills needed:
- Technical degree: engineering computer science physics Mathematics quantitative economics etc.
- 5 Years of experience in data science
- Advanced Python programming
- Experience in modeling time series forecasting solutions
- Version control (git)
- Advanced SQL
- Proficiency in development ML models
- Solid experience using data/ML libraries like Pandas SKlearn Darts TensorFlow XGBoost etc.
Required Experience:
Senior IC
Employment Type
Full-Time
