Senior Data Science Engineer (AI)

TL;DR

Senior Data Science Engineer (AI): Developing prototype solutions, mathematical models, algorithms, and machine learning techniques to support analytic insights and visualization of complex data sets with an accent on KPIs established by product, marketing, operations, and PR teams. Focus on exploring new experimentation methods and statistical techniques to sharpen product decision-making processes.

Location: Hybrid work in the Czech Republic, with offices in Prague, Hradec Králové, and Zlín.

Company

hirify.global is a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges.

What you will do

• Develop prototype solutions, mathematical models, algorithms, and machine learning techniques to support analytic insights and visualization of complex data sets.
• Conduct exploratory data analysis to navigate datasets and derive broad conclusions based on initial appraisals.
• Provide optimization recommendations that drive KPIs established by product, marketing, operations, and PR teams.
• Work directly with business analysts and data engineers to understand and support their use cases.
• Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up product decision-making processes.
• Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices.

Requirements

• 5+ years of experience in the 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 experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems.
• 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.
• 2+ years experience with data visualization tools (e.g., Tableau, Power BI, Looker and Python libraries like Matplotlib and Seaborn).
• 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML).

Culture & Benefits

• Work alongside top professionals in a friendly, open-door environment.
• Take on large-scale projects with a global impact and expand your expertise.
• Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications.
• Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies.
• Company-paid medical insurance, mental health support, and financial & legal consultations.
• Balance office and remote work to fit your rhythm.