What are the responsibilities and job description for the Data Scientist position at Meritore Technologies?
Senior Data Scientist role
Boston/Quincy, MA or Chicago office
Duration: 6 months
Job Description:
This position will involve applying advanced analytics to extract actionable insights from complex datasets, facilitating data-driven decision-making across the organization. The Resource will design and implement predictive models, optimizing business processes
through the development of machine learning algorithms. The focus is on delivering measurable outcomes, enhancing productivity, and improving resource allocation. The lasting impact of these contributions will be the integration of data-driven decision-making
into the organizational framework, positioning at the forefront of innovation in the industry.
Boston/Quincy, MA or Chicago office
Duration: 6 months
Job Description:
This position will involve applying advanced analytics to extract actionable insights from complex datasets, facilitating data-driven decision-making across the organization. The Resource will design and implement predictive models, optimizing business processes
through the development of machine learning algorithms. The focus is on delivering measurable outcomes, enhancing productivity, and improving resource allocation. The lasting impact of these contributions will be the integration of data-driven decision-making
into the organizational framework, positioning at the forefront of innovation in the industry.
- Must have over 5 years of experience programming with Python as a Data Scientist
- MUST HAVE RETAIL EXPERINCE (EX: Walmart, Amazon, Target, Lowes, Home Depot)
- Pyspark
- Knowledge of a whole data science project from inception to completion
- Orchestration-- working with docker, CI/CD tools
- Jenkins, terraform
- Huge plus here
- Databricks-- not as important, a nice to have here
- Building the production codebase for the Advanced Analytics models
- Creating training pipelines
- Creating inference pipelines
- Apply advanced analytics for actionable insights
- Implement predictive models with a focus on machine learning for optimization
- Collaborate on data-driven solutions for business challenges
- Python, Databricks-PySpark framework
- libraries: Prophet, Nixtla, itertools, scitkitlearn, etc
- Data/Training pipeline development, EDA, Feature Engineering, Model delivery, etc.
- Forecasting and Time Series analysis
