Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing advanced machine learning and generative AI analytical solutions and product prototypes with an accent on predictive modeling, coding expertise, and Gen AI application. Focus on collaborating with engineering and research teams, translating complex findings into relevant insights, and bringing new data science models to market.

Location: Hybrid role based in Sofia, Bulgaria

Company

hirify.global is a global data and technology company, powering opportunities for people and businesses around the world by redefining lending practices, preventing fraud, and simplifying healthcare.

What you will do

• Create advanced machine learning analytical solutions and prototypes to extract insights from diverse data sources.
• Collaborate with Engineering, Research, and Data Science teams on the design and implementation of ML, Dashboarding, and AI applications using a cloud-native big data (AWS) platform.
• Articulate model processes and outcomes, documenting findings, and translating complex insights for various stakeholders.
• Partner with leaders, product managers, and external partners to bring new solutions to market.
• Research and integrate new data assets into hirify.global's ML and AI platform, developing and assessing analytic tools.
• Gather feedback from clients to guide new product development and feature prioritization.

Requirements

• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 3+ years of experience in AI, data science, or predictive modeling with a track record for managing complex analytical technology projects.
• Statistical modeling proficiency in at least one programming language, with coding skills in Python.
• Experience with large data analysis using Spark (pySpark preferred) and with LLMs and Generative AI tools.
• Experience with various ML algorithms (e.g., XGBoost, GANs, clustering, graph algorithms, hyperparameter tuning).
• Experience with open-source tools for deep learning and machine learning technology (such as PyTorch, Keras, TensorFlow, scikit-learn, pandas).
• Experience with Hadoop and NoSQL related technologies (e.g., MapReduce, Hive, HBase, MongoDB, Cassandra).
• Fluent English – written and spoken (C1 required).

Culture & Benefits

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training.
• Excellent work conditions with friendly environment, recognized team spirit, and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance, and internet coverage.
• Work-life balance with 25 days paid vacation, 1 additional day off for your birthday, and 3 extra paid days for social responsibility events.
• Opportunity for Flexible working hours and Home Office.