Senior Data Scientist

Description Ciklum; Poland; On-site; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Premium medical package

Udemy access

MyBenefit cafeteria

Job summary

Ciklum in Poland is seeking a Senior Data Scientist to own core analytical models, work with R, and develop new predictive features. You will collaborate with Data Engineering and stakeholders to translate complex statistics into actionable insights.

The role emphasizes production-ready code, strong documentation, mentoring juniors, and exploring modern techniques. Remote-friendly with opportunities to influence global projects within a One Team culture.

Qualifications

• Master's or PhD in Statistics, Applied Mathematics, Computer Science, Data Science, or related field.
• 5+ years of hands-on data science experience in modeling or quantitative research.
• Expert-level proficiency in R with tidyverse and data.table.
• Strong knowledge of applied statistics and model evaluation methods.
• Ability to document algorithms clearly and explain technical concepts to leadership.

Responsibilities

• Own and analyze core statistical models and algorithms in R.
• Conduct rigorous statistical testing to improve model performance.
• Design robust solutions to modernize existing functionality.
• Develop new analytical features and predictive models from scratch.
• Refactor R code into production-ready frameworks and maintain quality.
• Document code and promote best practices for version control and testing.
• Collaborate with Data Engineering to deploy models and translate results for non-technical stakeholders.
• Mentor junior data scientists and analysts.

Skills

R programming

Statistical modeling

Data analysis

Communication

Education

Master's or PhD in Statistics or related

Tools

tidyverse

data.table

plumber (R API)

Shiny

Docker

AWS / GCP / Azure

Job description

Ciklum is looking for a Senior Data Scientist to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

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

Requirements:

• 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. You should be 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

Desirable:

• 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

What's in it for you?

• 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

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

Explore, empower, engineer with Ciklum!