Junior Data Scientist
Jagex
PythonSQL
Senior Data Scientist
Canon Business Process Services
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
CloudPythonSQL
About the role
- Defining and evaluating key metrics for fleet network optimization.
- Creating forecast models for demand and supply to enable fleet balancing.
- Lead, build, and maintain machine learning models that are core to our success as a marketplace for private aviation.
- Performing customer segmentation and analysis based on various features to understand customer behaviors.
- Performing model evaluation and testing to improve accuracy and robustness.
- Maintain and update machine learning models to stay ahead of the change.
- Summarizing results and building dashboard to present findings to guide other stakeholders to make data driven decisions.
- Work with product managers and engineers to turn prototypes into robust, reliable solutions.
Requirements
- Master’s degree in a quantitative field like Math, Statistics or Machine Learning.
- 5+ years experiences of professional industry experience in machine learning (Experience with models and analysis for network optimization and experimentation a plus).
- Good understanding of machine learning algorithms and statistics and ML model development with prototyping.
- Proficient in Python and SQL.
- Experience with data visualization and cloud computing tools.
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
- Experience with MLOps, worked on platforms such as Sagemaker etc.
Benefits
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningforecast modelscustomer segmentationmodel evaluationdata visualizationPythonSQLMLOpsstatisticsnetwork optimization
Soft skills
communicationleadershipcollaborationdata-driven decision making
Certifications
Master’s degree in quantitative field
