We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Data Scientist (Python) at Proxify. Location Information: Time zone: CET (+/- 3 hours). About us:. .  . . Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂. . Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.. . Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.. .  . . The Role:. .  . . We are looking for a Senior Data Scientist (Python) to join one of our high-growth client teams as a technical lead in data innovation. In this role, you will be responsible for transforming complex, high-velocity datasets into predictive models and actionable systems that directly influence product strategy and business operations.. . You will bridge the gap between pure research and production software engineering. You will not just build prototypes in notebooks; you will design, train, evaluate, and deploy robust machine learning models into live cloud environments. This is a role for a systems-thinking data scientist who values clean, modular Python architecture, statistical rigor, and scalable data pipelines.. .  . . What we are looking for:. . . 5+ years of professional experience as a Data Scientist, with expert-level mastery of the Python data ecosystem (Pandas, NumPy, SciPy, Scikit-Learn).. . Deep theoretical and practical knowledge of supervised and unsupervised learning, regression, classification, clustering, and time-series forecasting.. . Proven track record of moving models out of Jupyter Notebooks and into production environments using containerization (Docker) and microservice design.. . Strong proficiency in writing complex, optimized SQL queries and experience handling large-scale data using distributed computing frameworks like PySpark or Ray.. . Experience with machine learning lifecycle tools (such as MLflow, DVC, or Weights & Biases) for model tracking, versioning, and feature store management.. . Hands-on experience leveraging cloud data infrastructure (AWS, GCP, or Azure) and managed ML services (e.g., SageMaker or Vertex AI).. . Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.. . .  . . Nice-to-have:. . . Deep Learning experience using PyTorch or TensorFlow/Keras.. . Experience with NLP frameworks (Hugging Face, spaCy) or deploying LLM-based pipelines (LangChain, vector databases).. . Familiarity with orchestration tools like Apache Airflow or Prefect.. . Strong background in experimental design, A/B testing methodologies, and statistical significance validation.. . .  . . Responsibilities:. . . Design, build, and optimize scalable predictive models and machine learning algorithms to solve complex business challenges.. . Architect and maintain robust data pipelines and feature sets, ensuring data quality, consistency, and integrity across training and inference layers.. . Partner with Data Engineers, Product Managers, and Backend Teams to integrate ML models seamlessly into core application APIs.. . Conduct rigorous peer code reviews for data science workflows, championing production-grade Python design patterns and linting standards.. . Translate highly technical metrics (Precision, Recall, ROC-AUC, RMSE) into clear business outcomes and executive-level recommendations.. . .  . .  . .  . . What we offer:. .  . . Get paid, not played. . No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.. .  . . Predictable project hours. . Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.. .  . . Flex days, so you can recharge. . Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.. .  . . Career-accelerating positions at cutting-edge companies. . Discover exclusive long-term remote positions at the world's most exciting companies.. .  . . Hand-picked opportunities, just for you. . Skip the typical recruitment roadblocks and biases with personally matched positions.. .  . . One seamless process, multiple opportunities. . A one-time contracting process for endless opportunities, with no extra assessments.. .  . . Compensation. . Enjoy the same pay, every month with positions landed through Proxify.