Senior Data Scientist

Job description

Utilize your strong analytical skills and machine learning expertise to develop advanced time-series models for demand forecasting. Collaborate with cross-functional teams to identify and define business problems related to demand forecasting. Conduct exploratory data analysis and feature engineering to extract valuable insights from complex datasets. Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency.

Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data.

• Communicate findings and insights to team members and work with the team to define modeling next steps
• Master's degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years experience with predictive modeling time-series, machine learning, statistical modeling Experience building demand forecast models
• Proficiency in programming languages such as Python and R, as well as libraries like scikit-learn knowledge on factors that influence shipment demand
• Proficient in SQL and working with relational databases.

Experience using cloud-based services such as AWS, Azure, or Google Cloud Excellent problem-solving skills and ability to think critically about complex business challenges. Strong communication skills Proven ability to work effectively in a collaborative, fast-paced environment.