N-iX
MiddleDataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Middle Data Scientist at N-iX. Skills: Data science, Machine learning, ML models. Use quantitative skill set to tackle projects. Perform time-series forecasting”
What You'll Achieve.
Drive product improvements; Make customer acquisition efficient; Improve customer retention rates; Drive operating efficiencies
Industry & Context.
Turn data into models; Turn data into actionable insights
What They're Looking For.
Must Have
3+ years of experience in data science, Master's Degree or extensive experience, Advanced skills in SQL, Advanced skills in Python, Knowledge of ETL, Knowledge of statistical testing & analysis, Knowledge of experimental design, Experience with exploratory data analysis, Experience with feature tuning, Experience developing machine learning models, Experience training machine learning models, Experience evaluating machine learning models, Experience working with transactional data, Experience with customer segmentation, Experience with cohort analysis, Experience with time series analysis, Previous experience with version control, Previous experience with continuous integration, Ability to manage cross-functional projects
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Use quantitative skill set to tackle projects
Perform time-series forecasting
Perform demand planning
data engineering team
Ensure best data practices
Collaborate with functional stakeholders
Identify areas of opportunity
Identify areas of optimization
Create metrics to evaluate model performance
Maintain performance of existing models
Improve performance of existing models
How You'll Work.
Team & Collaboration
Analytics and data engineering teams; Functional stakeholders
Communication Scope
Communicate effectively
Process & Methodology
Cross-functional projects
Full Job Description
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. 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. 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, Ukrainia
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