Senior Data Scientist

Genesis Group AG

Алматы
Постоянная работа
Полная занятость

21 д. назад

🌍 We’re Hiring: Senior Data Scientist (mathematical statistics focus)📍 Location: Remote💡 About UsYesim 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.✨ About the RoleAs 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.📝 ResponsibilitiesData 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.

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.

📩 Requirements

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

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.

📩 Requirements

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

🌍 LanguagesRussian - С2English - B2 or higher🎁 What We OfferHigh-impact role — your models directly influence product, revenue, and strategic decisionsDirect access to leadership — collaborate closely with founders and senior managementFully remote format — work from anywhere with flexible structureGlobal product environment — operate in an international, fast-scaling tech companyDynamic growth stage — high responsibility, fast decisions, no corporate bureaucracyIf you want to work on high-impact problems, collaborate closely with leadership, and shape data-driven strategy at scale — apply now.Swiss-based company. Yesim focuses on providing eSIM solutions that enable global mobile data connectivity without the need for traditional SIM cards. Their app allows users to connect to mobile internet services across over 200 countries, eliminating roaming fees and offering virtual phone numbers with built-in VPN technology for secure browsing

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