Senior Data Science Engineer (AI)

TL;DR

Senior Data Science Engineer (AI): Developing prototype solutions, mathematical models, algorithms, and machine learning techniques to derive analytic insights from complex datasets with an accent on optimization recommendations for KPIs. Focus on exploratory data analysis, ensuring solutions meet customer requirements, and driving innovation through new experimentation methods.

Location: Remote in Poland

Company

hirify.global is a custom product engineering company that supports multinational organizations and scaling startups in solving complex business challenges.

What you will do

• Develop prototype solutions, mathematical models, algorithms, and machine learning techniques.
• Conduct exploratory data analysis to derive broad conclusions from complex datasets.
• Provide optimization recommendations to drive established KPIs for various teams.
• Interact with engineering teams to ensure solutions meet customer requirements.
• Collaborate with business analysts and data engineers to support their use cases.
• Drive innovation by exploring new experimentation and statistical techniques.

Requirements

• 5+ years of experience developing Data Science solutions.
• Bachelor's or Master's degree in Mathematics, Statistics, or a related field.
• 4+ years applying machine learning techniques (regression, classification, clustering, time series prediction, etc.).
• 4+ years of Python experience for machine learning using libraries like Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, statsmodels, imbalanced-learn.
• 2+ years of experience with data visualization tools such as Tableau, Power BI, Looker, Matplotlib, and Seaborn.
• Experience using SQL for data processing, manipulation, and reporting.
• 3+ years of experience creating and maintaining object-oriented machine learning solutions.
• 1+ year of experience with MLOps, including production ML pipelines, Docker, containerization, and orchestration.
• 2+ years of experience with cloud platforms (AWS, Azure, or GCP), including cloud AI and ML services.

Culture & Benefits

• Work alongside top professionals in a friendly, open-door environment.
• Opportunity to work on large-scale projects with global impact.
• Access to tailored learning opportunities including meetups, conferences, workshops, Udemy, and company-paid certifications.
• Explore diverse domains through internal mobility.
• Enjoy flexibility with full remote working possibilities.
• Receive company-paid medical insurance, mental health support, and financial/legal consultations.