Senior Data Scientist

Ciklum

Remote, Czech Republic

About the role:

As a Senior Data Science Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. 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;
Bachelor's/Master's degree in Mathematics, Statistics, or related field;
Proven ability to relate and solve business problems through machine learning and statistics;
4+ years of applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems;
Understanding 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).