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:

As a Senior Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow.

With almost 100 million active users across 25 countries, they’re a global food tech company As a recently formed team, they have many opportunities and ideas for sharing value back to the customers within their continuously expanding platform. They're looking for talented and trusted engineers to help them impress their customers.

Responsibilities:

Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals
Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability
Work directly with business analysts and data engineers to understand and support their use cases
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members
Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices

Requirements:

5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact
Bachelor's/Maste's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field
Proven ability to relate and solve business problems through machine learning and statistics
4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems
Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance
4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries
Experience diving into data to consider hidden patterns and conducting error analysis
2+ years experience with data visualization tools (e.g., Tableau, Power BI, Looker and Python libraries like Matplotlib and Seaborn).
Experience with SQL for data processing, data manipulation, sampling, reporting
3+ years experience creating/maintaining of OOP Machine Learning solutions
Understanding of CRISP-ML(Q) / TDSP concept
1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration
2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML)
Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels

Desirable:

Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning
1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries
Data Science / Machine Learning certifications, or research experience with papers being published
Experience with Kubernetes
Experience with Vertex AI (GCP) and Airflow/DBT for data processing
1+ year of BigData experience, i.e. Hadoop / Spark
Experience with No-SQL, and/or columnar/graph databases

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 medical insurance, mental health support, and financial & legal consultations

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

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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.