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Responsibilities:
- Use your quantitative skill set to tackle projects including time-series forecasting, demand planning and many other exciting projects.
- Work alongside the rest of the analytics and data engineering teams to ensure best data practices and showcase your skill set.
- Collaborate with functional stakeholders to identify areas of opportunity and optimization.
- Create metrics to continuously evaluate the performance of models and maintain and improve the performance of existing machine learning models.
- 3+ years of experience in data science
- Master’s Degree or extensive experience in Math, Statistics, Economics, Computer Science, or similar quantitative field.
- Advanced skills in SQL and Python
- Ability to use all your skills to complete your work, we are a small team and everyone wears multiple hats. You’ll need to use your data science, engineering and communication skills to get the job done
- Knowledge of ETL, statistical testing & analysis, experimental design
- Experience with exploratory data analysis and feature tuning
- Experience of developing, training, and evaluating machine learning models such as LightGBM, XGBoost, SVM, K-means, kNN and others
- Experience working with transactional data, customer segmentation, cohort analysis, time series analysis
- Previous experience with version control and continuous integration to a code base.
- Ability to manage cross functional projects with multiple works streams to completion
- Detail oriented, organized, and able to effectively communicate
- Seen as a key business expert and technical leader
- English Upper Intermediate +
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- not applicable for freelancers
Key Skills
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