Senior Data Science Engineer

Senior Data Science Engineer

Ciklum

Remote, Bulgaria

About the role:

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

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).