Middle Data Science Engineer (#2637)

47 Minutes ago • 3 Years + • Data Analyst

About the job

Job Description

N-iX seeks a motivated Data Scientist with 3+ years' experience to leverage data for product improvements, customer acquisition/retention, and operational efficiency. Responsibilities include churn prediction, customer segmentation, forecasting, and collaborating with analytics and data engineering teams. The role requires advanced SQL and R/Python skills, experience with machine learning models (random forest, SVMs, etc.), A/B testing, ETL, and statistical analysis. Strong communication and cross-functional project management skills are essential. The position offers a flexible work format (remote, office-based, or hybrid).
Must have:
  • 3+ years data science experience
  • Master's degree in quantitative field
  • Advanced SQL & R/Python skills
  • Machine learning model experience
  • A/B testing & statistical analysis expertise
  • Cross-functional project management
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events
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N-iX is looking for a a motivated Data‬ Scientist 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 our‬ customer acquisition more efficient, improve our customer retention rates, and drive operating‬ efficiencies on our production and logistics teams.‬

 

Responsibilities: 

  • Use your quantitative skill set to tackle projects including churn prediction, customer‬ segmentation, forecasting, 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, Physics, Statistics, Economics,‬ Computer Science, or similar quantitative field.‬
  • Advanced skills in SQL and R/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 A/B testing, ETL, statistical testing & analysis, experimental‬ design
  • Experience developing, training, and evaluating (supervised/unsupervised) machine‬ learning models such as random forest, SVMs, Naive Bayes, gradient boosting and kNN‬
  • 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
  • Upper Intermediate English level
  • Ukrainian language - Advanced or higher

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
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
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