Description

We are seeking experienced specialists ready to tackle ambitious tasks in the field of Sber's HR technologies. If you want to create innovative products and services that influence the development of employees in the country's largest financial organization — this position is for you!

Important: Our products actively use AI agents (virtual assistants, recommendation systems, automated HR assistants). Data and analytics will become the "brain" of these agents. Your role is not just to analyze the past, but to create the algorithms by which AI will make decisions in the future.

Responsibilities

· Research and Hypothesis Generation: Independently conduct exploratory data analysis (EDA) to identify product growth points, uncover scenarios that can be enhanced or automated using AI agents.

· Development of Methodology for AI: Design and formalize data analysis algorithms that will be embedded into the operational logic of AI agents (e.g., candidate evaluation rules, learning recommendation scenarios, predictive event models). Essentially, you are creating the "analytical core" for future intelligent assistants.

· Hypothesis Testing through Experiments: Initiate and conduct A/B tests, cohort analysis, interpret results, and provide implementation recommendations, including for improving AI services.

· Product Analytics: Calculate and implement metrics evaluating not only user behavior but also the quality of AI agents' work (accuracy, coverage, business impact).

· Data Enhancement: Formulate requirements for the development team regarding data collection and storage with the necessary granularity to ensure effective training and functioning of AI models.

· Ad-hoc Analysis: Promptly address complex business questions, the results of which may form the basis for new AI functions or adjustments to existing algorithms.

Requirements

· Minimum 4 years of experience as a product analyst / data analyst

· Deep understanding of probability theory and mathematical statistics

· Ability to independently conduct ad-hoc analyses and generate significant business insights

· Practical experience with data visualization tools (BI systems)

· Proficiency in using core data analysis libraries (NumPy, Pandas, etc.)

· High proficiency in SQL query language and Python programming language

· Experience working with relational databases, preferably PostgreSQL

Will be an advantage:

· Experience with ClickHouse

· Understanding the basics of ML and the logic of recommendation systems / AI agents (will allow for faster onboarding into the context)

Soft skills:

· Independence in decision-making and initiative

· High communication skills and ability to work effectively in a team

Conditions

• Comfortable modern office near Kutuzovskaya metro station
• Hybrid work format
• Annual salary review and yearly bonus
• Corporate gym and relaxation areas
• Sber's unique learning system for professional and career development
• Extended voluntary health insurance, preferential insurance for family, and corporate pension program
• Free SberPrime+ subscription, discounts on partner company products
• Referral bonus for recommending friends to the Sber team.