Senior Data Scientist (Python) - Remote CET Zone — Columbus
Traveler-Friendly Insight
CET ± 3 Hours: Your Nomad Window
This role has a firm timezone requirement of CET ± 3 hours, which means your workday must overlap with Central European Time. That significantly narrows where you can base yourself as a nomad, but still leaves a solid range of attractive destinations.
- Lisbon, Portugal (WET/UTC+0–+1): Within the CET ±3 window and one of Europe's most popular nomad hubs. Cost of living for a comfortable lifestyle runs €1,800–€2,500/month. Portugal also offers a Digital Nomad Visa (D8), making long stays straightforward.
- Tbilisi, Georgia (UTC+4): On the edge of the allowed timezone range (+3 from CET). Very affordable at ~$1,200–$1,600/month, with a 1-year "Remotely from Georgia" program available for most nationalities.
- Warsaw, Poland (CET/UTC+1): Squarely in the core CET zone. Modern city, strong tech scene, €1,500–€2,200/month cost of living. Easy EU-wide travel.
Southeast Asia and the Americas are off-limits for this role due to the timezone constraint — Bali, Bangkok, and Medellín all fall outside the ±3 window.
The 8-hour structured workday and consistent monthly payments via Proxify are nomad-friendly perks. The 24 flex days per year (roughly 2 per month) allow for short travel bursts. No equipment or coworking stipend is mentioned.
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). Applications from candidates in other time zones cannot be considered.
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
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Hand-picked opportunities, just for you
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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.
Frequently Asked Questions
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