Senior Applied Data Scientist (AI)

Location: Hybrid in Warsaw, Poland

Company

hirify.global connects talent with product careers at high-growth companies, including a global management consultancy client focused on strategy, transformation, and performance improvement.

What you will do

• Develop ML, embedding, and LLM-based approaches for matching company records across multiple data sources.
• Handle messy entity data, including aliases, domains, websites, firmographic attributes, multilingual records, and data hierarchies.
• Build scoring, ranking, similarity, retrieval, clustering, and candidate-generation methods to identify accurate matches and duplicates.
• Define experiments, benchmark sets, and evaluation metrics covering precision, recall, false positives, false negatives, confidence, coverage, and manual review effort.
• Explore LLM-assisted review and validation while considering accuracy, scalability, cost, latency, and explainability.
• Partner with data and software engineering teams to productionize successful prototypes and investigate matching-performance regressions.

Requirements

• 5–8 years of experience in Data Science, Applied Data Science, Applied Machine Learning, or a similar role.
• Strong applied machine learning fundamentals and experience training supervised and unsupervised models, including classification and NLP models.
• Excellent Python and SQL skills.
• Practical experience with embeddings, semantic similarity, LLMs, neural networks, and transformer architectures.
• Experience with entity resolution, record linkage, deduplication, ranking, similarity scoring, retrieval, clustering, or candidate generation.
• Proficiency with TensorFlow, PyTorch, and PyCaret, plus experience maintaining classification models or taxonomy classifiers in production.

Nice to have

• Exposure to large-scale data platforms such as Spark, Snowflake, Databricks, or BigQuery.
• Familiarity with company, domain, website, firmographic, or other business-entity data.

Culture & Benefits

• Hybrid work arrangement in Warsaw, Poland.
• Collaboration with data engineering and software engineering partners.
• Work on matching systems for a leading global management consultancy.

Hiring process

• Interview with a hirify.global recruiter.
• Technical interview.
• Final interview.