Senior Data Scientist (удаленная работа)

Вакансия: Senior Data Scientist

Описание вакансии

We re Hiring: Senior Data Scientist (mathematical statistics focus)

Location: Remote

About Us

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 .

About the Role

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.

Responsibilities

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.
Support hypothesis testing and experiment design.

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

Languages

• Russian С2

What We Offer

Remote-first format with flexible working hours Direct impact on product, revenue, and strategic decisions Opportunity to build analytical systems and forecasting models from scratch Access to complex, large-scale datasets in a fast-growing global market High level of autonomy and ownership in decision-making Collaboration with senior stakeholders across Product, Marketing, and Finance Fast-paced, data-driven environment focused on long-term value creation Competitive compensation aligned with expertise and impact 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.