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N-iX is looking for a motivated Middle Data Scientist (ML) with strong technical skills and business acumen to help turn millions of potential data points into models and actionable insights that can drive product improvements, make customer acquisition more efficient, improve customer retention rates, and drive operating efficiencies on our production and logistics teams.
Job Responsibility
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
Requirements
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 level, Ukrainian - advanced and higher
What we offer
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