[Hiring] Senior Data Scientist @Ciklum

Role Description

We are looking for a highly skilled Senior Data Scientist to take ownership of our core analytical models. In this pivotal role, you will dive deeply into our existing suite of algorithms written in R, conducting rigorous statistical analysis to understand, validate, and optimize their performance. You won't just be maintaining legacy code; you will be the driving force behind enhancing our current methodologies and architecting brand-new features and predictive models that solve complex business challenges.

Responsibilities

• Algorithm Ownership & Reverse Engineering: Analyze, deconstruct, and thoroughly map out complex existing statistical models and algorithms written in R.
• Rigorous Statistical Analysis: Conduct deep-dive statistical testing on current models to identify areas for performance improvement, accuracy optimization, and efficiency gains.
• Continuous Enhancement: Design and implement robust solutions to modernize and enhance existing functionality, ensuring our models scale effectively with growing data.
• Feature Engineering & Development: Conceptualize, build, and deploy new analytical features and models from scratch to support emerging product and business needs.
• Production & Code Quality: Refactor and upgrade existing R code into robust, production-ready frameworks.
• Champion best practices for version control, code documentation, and automated testing.
• Cross-Functional Collaboration: Partner with Data Engineering to streamline model deployment and translate complex statistical outcomes into actionable insights for non-technical stakeholders.
• Mentorship: Guide and mentor junior data scientists and analysts, fostering a culture of technical excellence and continuous learning.

Qualifications

• Education: Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, Data Science, or a closely related quantitative discipline.
• Experience: 5+ years of hands-on professional experience in data science, statistical modeling, or quantitative research.
• Technical Mastery in R: Expert-level proficiency in R programming. Highly comfortable with the tidyverse, data.table, and various advanced statistical/modeling packages.
• Statistical Depth: Deep practical knowledge of applied statistics (e.g., hypothesis testing, linear/logistic regression, time-series analysis, mixed-effects models, or Bayesian methods).
• Analytical Problem-Solving: Proven track record of auditing existing codebases, identifying bottlenecks, and successfully implementing measurable algorithmic enhancements.
• Communication: Exceptional ability to document complex algorithms clearly and explain highly technical concepts to executive leadership.

Requirements

• Experience with building APIs in R (e.g., plumber) or developing interactive dashboards (e.g., Shiny).
• Familiarity with containerizing R applications (Docker) and deploying models in cloud environments (AWS, GCP, Azure).
• Working knowledge of Python (pandas, scikit-learn) or SQL to effectively collaborate with broader engineering teams.
• Domain expertise in Banking or Financial Services.

Benefits

• Strong community: Work alongside top professionals in a friendly, open-door environment.
• Growth focus: Take on large-scale projects with a global impact and expand your expertise.
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications.
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies.
• Flexibility: Enjoy flexibility – full remote working possibilities.
• Care: We've got you covered with company-paid premium medical package through Luxmed.
• Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs.