Yesim is an international product IT company operating in the fast-growing global eSIM and digital connectivity market. We are building a scalable, data-driven business with a clear focus on long-term value creation.
If you are excited by complex datasets, behavioral patterns, forecasting systems, and building analytical infrastructure from the ground up — this opportunity is built for you.
As a Senior Data Scientist, you will be responsible for developing analytical and predictive models that directly influence product, marketing, and revenue decisions.
You will work with raw data, design analytical frameworks, identify behavioral and financial patterns, and transform data into decision-making tools used by management and operational teams.
This role combines deep analytical thinking, strong technical skills, and practical business orientation.
Data Analysis & Pattern Discovery
• Explore large datasets to identify behavioral, product, and revenue patterns.
• Detect structural effects, hidden dependencies, and non-obvious drivers.
• Perform variance and factor analysis across business metrics.
• Investigate anomalies, outliers, and unexpected metric movements.
Predictive Modelling & Forecasting
• Develop predictive models (LTV, churn, demand, revenue drivers, etc.).
• Build regression, clustering, and time-series models.
• Design conditional forecasts and scenario-based projections.
• Evaluate model stability, accuracy, and business relevance.
Decision Support & Diagnostic Tools
• Build analytical and diagnostic tools for business and product decisions.
• Design monitoring systems and early-warning indicators.
• Translate business problems into analytical models.
•
Yesim is an international product IT company operating in the fast-growing global eSIM and digital connectivity market. We are building a scalable, data-driven business with a clear focus on long-term value creation.
If you are excited by complex datasets, behavioral patterns, forecasting systems, and building analytical infrastructure from the ground up — this opportunity is built for you.
As a Senior Data Scientist, you will be responsible for developing analytical and predictive models that directly influence product, marketing, and revenue decisions.
You will work with raw data, design analytical frameworks, identify behavioral and financial patterns, and transform data into decision-making tools used by management and operational teams.
This role combines deep analytical thinking, strong technical skills, and practical business orientation.
Data Analysis & Pattern Discovery
• Explore large datasets to identify behavioral, product, and revenue patterns.
• Detect structural effects, hidden dependencies, and non-obvious drivers.
• Perform variance and factor analysis across business metrics.
• Investigate anomalies, outliers, and unexpected metric movements.
Predictive Modelling & Forecasting
• Develop predictive models (LTV, churn, demand, revenue drivers, etc.).
• Build regression, clustering, and time-series models.
• Design conditional forecasts and scenario-based projections.
• Evaluate model stability, accuracy, and business relevance.
Decision Support & Diagnostic Tools
• Build analytical and diagnostic tools for business and product decisions.
• Design monitoring systems and early-warning indicators.
• Translate business problems into analytical models.
• Design hypothesis data testing and product experiments
Data Infrastructure & Quality
• Write and optimise SQL queries for analytical workloads.
• Contribute to data structure, logic, and metric definitions.
• Validate data reliability, consistency, and completeness.
• Handle imperfect datasets, sampling issues, and missing data.
Visualization & Reporting
• Build dashboards and analytical monitors in Power BI.
• Present analytical findings in clear, decision-oriented formats.
• Transform complex data into actionable insights.
Cross-Functional Collaboration
• Partner with Product, Marketing, Finance, and BI teams.
• Support strategic and operational decisions with data analysis.
• Drive analytical thinking across the organization.
• SQL queries and optimisation
• Database design fundamentals
• Python (Jupyter, pandas, matplotlib)
• Data collection via APIs, Google Analytics, web and open sources
• Data visualisation and dashboard design (Power BI)
• Machine Learning: regression, clustering, time series, variance analysis
• Statistical and mathematical foundations for data analysis
• Data quality assessment and validation
• Designing analytical experiments
• Working with metrics and KPI systems
• Understanding behavioural economics, product usage, and funnels
Russian - С2
English - B2 or higher
High-impact role — your models directly influence product, revenue, and strategic decisions
Direct access to leadership — collaborate closely with founders and senior management
Fully remote format — work from anywhere with flexible structure
Global product environment — operate in an international, fast-scaling tech company
Dynamic growth stage — high responsibility, fast decisions, no corporate bureaucracy
If you’re ready to design predictive systems, uncover deep behavioral patterns, and influence high-level business decisions — we’d love to hear from you.
Data Infrastructure & Quality
• Write and optimise SQL queries for analytical workloads.
• Contribute to data structure, logic, and metric definitions.
• Validate data reliability, consistency, and completeness.
• Handle imperfect datasets, sampling issues, and missing data.
Visualization & Reporting
• Build dashboards and analytical monitors in Power BI.
• Present analytical findings in clear, decision-oriented formats.
• Transform complex data into actionable insights.
Cross-Functional Collaboration
• Partner with Product, Marketing, Finance, and BI teams.
• Support strategic and operational decisions with data analysis.
• Drive analytical thinking across the organization.
• SQL queries and optimisation
• Database design fundamentals
• Python (Jupyter, pandas, matplotlib)
• Data collection via APIs, Google Analytics, web and open sources
• Data visualisation and dashboard design (Power BI)
• Machine Learning: regression, clustering, time series, variance analysis
• Statistical and mathematical foundations for data analysis
• Data quality assessment and validation
• Designing analytical experiments
• Working with metrics and KPI systems
• Understanding behavioral economics, product usage, and funnels
High-impact role — your models directly influence product, revenue, and strategic decisions
Direct access to leadership — collaborate closely with founders and senior management
Fully remote format — work from anywhere with flexible structure
Global product environment — operate in an international, fast-scaling tech company
Dynamic growth stage — high responsibility, fast decisions, no corporate bureaucracy