TL;DR

Senior Data Science Engineer (Machine Learning): Developing prototype solutions, mathematical models, algorithms, and machine learning techniques for a global food tech platform with an accent on delivering data-driven value and innovation. Focus on exploratory data analysis, optimizing KPIs, and ensuring solutions meet customer requirements in functionality and scalability.

Location: Remote (Poland)

Company

%hirify_global% is a custom product engineering company with a global team of over 4,000 skilled professionals, engineering technology that redefines industries and shapes the way people live.

What you will do

Develop prototype solutions, mathematical models, algorithms, and machine learning techniques.
Work on exploratory data analysis to navigate datasets and derive broad conclusions.
Provide optimization recommendations that drive KPIs established by product, marketing, operations, and PR teams.
Interact with engineering teams to ensure solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
Collaborate with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
Drive innovation by exploring new experimentation methods and statistical techniques to improve product decision-making processes.

Requirements

5+ years of experience developing Data Science solutions.
Bachelor's or Master's degree in Mathematics, Statistics, or a related field.
4+ years of applying machine learning techniques such as regression, classification, clustering, time series prediction, and recommendation systems.
4+ years of Python experience for machine learning solutions and statistical analysis using libraries such as Pandas, SciPy, Scikit-learn, XGBoost, and LightGBM.
2+ years of experience with data visualization tools such as Tableau, Power BI, Looker, Matplotlib, and Seaborn.
Experience using SQL for data processing, manipulation, sampling, 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 such as AWS, Azure, or GCP, including cloud AI and ML services.

Nice to have

Understanding of CRISP-ML(Q) or TDSP concepts.

Culture & Benefits

Work alongside top professionals in a friendly, open-door environment with a strong community.
Opportunity to 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 to gain hands-on experience with cutting-edge technologies.
Enjoy flexibility with full remote working possibilities.
Benefit from company-paid medical insurance, mental health support, and financial and legal consultations.