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Dev.Pro is a US‑based outsource software development company that has been delivering exceptional software experiences to our clients since 2011. We hire specialists worldwide and support Ukraine with a friendly remote environment that upholds the values of democracy, human rights, and state sovereignty. Senior Data Scientist We invite a Senior Data Scientist with a strong academic foundation and extensive practical experience applying ML models to real-world problems to join our team. In this role, you'll closely collaborate with our Head of AI, data engineers, product teams, and international AI experts to design, evaluate, improve, and deploy ML solutions, supporting the growth and maturity of the Data Science function. What’s in it for you Lead high‑impact ML projects and see your work make a real impact in production Collaborate with top AI and ML experts across Latin America, gaining hands‑on experience building and refining advanced models Enjoy a flexible hybrid setup that balances in‑office collaboration with the freedom to work remotely Is that you? Master’s degree or higher in Data Science, CS, Applied Math, or related field 5‑10 years of hands‑on data science experience in fast‑paced or startup environments Strong ML and semantic search skills with hands‑on model evaluation experience (precision, recall, F1, confusion matrices) Strong proficiency in Python Solid knowledge of PostgreSQL, including query optimization, schema design, and data transformations Familiarity with cloud platforms, preferably GCP Strong communication skills and ability to collaborate across teams Upper‑Intermediate English level Desirable Experience with Pandas, NumPy, scikit‑learn, and PyTorch/TensorFlow Experience with Supabase and Next.js or similar Exposure to BigQuery and Dataflow pipelines Experience with data labeling and information retrieval Experience in distributed, multicultural team environments Key Responsibilities And Your Contribution Lead development and evaluation of ML models (semantic search, Cayenne/KNN‑type algorithms, supervised labeling) Design and improve processes for dataset evaluation and labeling accuracy Collaborate with data engineers to ensure seamless model and data architecture integration Work closely with ops and front‑end engineers to deploy and integrate ML models into live applications Run experiments, evaluate performance metrics, and iterate quickly Collaborate with product, engineering, and leadership teams to translate business needs into scalable ML solutions Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Other (IT Services and IT Consulting) #J-18808-Ljbffr
