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Middle Data Science Engineer (#2637)

Middle Data Science Engineer (#2637)

1 Month ago • 3 Years + • Data Analyst • Undisclosed

About the job

7 skills required for this role

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unity

python

sql

data-science

time-series-analysis

forecasting-budgeting

alphabeta-testing

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

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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