Senior Data Scientist

Posted 4 Hours Ago
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Hiring Remotely in Poland
Remote
Senior level
Information Technology • Consulting
The Role
Own, audit, validate, and optimize statistical models written in R. Develop predictive models and analytical features, modernize code into production-ready frameworks, improve scalability, and implement testing and documentation best practices. Collaborate with data engineers and business stakeholders to deploy models and communicate insights. Mentor junior data scientists and analysts. The role requires advanced applied statistics, expert R proficiency, and extensive professional data science experience.
Summary Generated by Built In

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!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

#LI-JW1

Skills Required

  • Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, Data Science, or a closely related quantitative discipline
  • At least 5 years of professional experience in data science, statistical modeling, or quantitative research
  • Expert-level proficiency in R programming, including tidyverse, data.table, and advanced statistical or modeling packages
  • Deep practical knowledge of applied statistics, including hypothesis testing, regression, time-series analysis, mixed-effects models, or Bayesian methods
  • Experience auditing existing codebases, identifying bottlenecks, and implementing measurable algorithmic enhancements
  • Exceptional ability to document complex algorithms and explain technical concepts to executive leadership
  • Experience building APIs in R using tools such as plumber or developing interactive dashboards using Shiny
  • Familiarity with Docker and deploying models in AWS, GCP, or Azure cloud environments
  • Working knowledge of Python, pandas, scikit-learn, or SQL
  • Domain expertise in banking or financial services
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The Company
HQ: London
2,995 Employees
Year Founded: 2002

What We Do

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others. For more information about us visit www.ciklum.com

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