Senior Data Scientist (Python)
Pubblicato il 13-10-2026 - Proxify in Lazio
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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 aSenior 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, optimizedSQLqueries and experience handling large-scale data using distributed computing frameworks likePySparkor Ray.
Experience with machine learning lifecycle tools (such asMLflow, 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 usingPyTorchorTensorFlow/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.
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Compensation Enjoy the same pay, every month with positions landed through Proxify.
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