Senior Data Scientist (Python) - Remote CET Role — Columbus
Traveler-Friendly Insight
CET ± 3 Hours — The Key Constraint for Nomads
This role has a hard timezone requirement: you must operate within CET ± 3 hours (roughly UTC−1 to UTC+5). That means this position is well-suited for nomads based in Europe, East Africa, and the Middle East, but is explicitly off-limits for candidates in Asia, the Americas, or Southeast Asia — so Bali, Chiang Mai, and Medellín are out.
Best nomad-friendly locations within the allowed timezone:
- Lisbon, Portugal (UTC+1 in summer): Excellent nomad infrastructure, NHR tax regime, relatively low cost of living (~€1,500–2,200/mo). 8-hour CET overlap is seamless.
- Tbilisi, Georgia (UTC+4): Very low cost of living (~€800–1,200/mo), easy visa access for many nationalities, 1-year remote work visa available. Sits at the outer edge of the timezone window.
- Tallinn, Estonia (UTC+2/3): Strong digital infrastructure, EU digital nomad visa, cost of living ~€1,400–2,000/mo.
Work structure: The role promises consistent 8-hour working days and predictable hours — this is positive for nomads who want routine. Monthly payment with flexible withdrawal options also suits independent contractors. No specific mention of coworking or equipment stipends.
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 — not just building prototypes in notebooks, but designing, training, evaluating, and deploying 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 outside this time zone 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 to recharge: Up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
- Career-accelerating positions: Discover exclusive long-term remote positions at the world's most exciting companies.
- Hand-picked opportunities: 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.
- Consistent compensation: Enjoy the same pay, every month with positions landed through Proxify.
Frequently Asked Questions
Is this role fully remote or office-based?
What timezone do I need to be in to apply?
What is the compensation for this role?
How much paid time off is included?
Do I need to go through a new assessment for each client opportunity?
