Senior Data Scientist
Primary stack
Nice to have's
Job description
About the Position
Senior Data Scientist
Ciklum is looking for a Senior Data Scientist to join our team full-time in Gdańsk, 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.
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.
Nice to Have
- 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.
We Offer
- 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 a 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 the Company
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.
© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce
About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.
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