Senior Data Scientist (Python)

Proxify; Italia; Remote; EUR 80,000 - 120,000; Full time

Benefits offered by this job

On-time monthly payments

8-hour workdays

Up to 24 flex days off per year

Remote-friendly opportunities

Career-accelerating roles with long‑m�

Job summary

Proxify is hiring a Senior Data Scientist (Python) to lead data innovation for a high-growth client team. You will transform complex datasets into predictive models and deploy them into live cloud environments, bridging research and production software engineering.

The role emphasizes clean Python architecture, scalable data pipelines, and strong statistical rigor. Time zone CET +/- 3 hours; remote opportunity with global clients.

Qualifications

• 5+ years of professional experience as a Data Scientist.
• Expert-level mastery of Python data ecosystem (Pandas, NumPy, SciPy, Scikit-Learn).
• Strong knowledge of supervised/unsupervised learning, regression, classification, clustering, time-series forecasting.
• Proven track record moving models into production with Docker and microservice design.
• Proficient in writing optimized SQL queries and handling large data with PySpark or Ray.
• Experience with ML lifecycle tools (MLflow, DVC, Weights & Biases) for tracking and feature stores.
• Hands-on with cloud data infra (AWS, GCP, Azure) and managed ML services (SageMaker, Vertex AI).
• Time zone CET +/- 3 hours; other zones not considered.

Responsibilities

• Design, build, and optimize scalable ML models for business challenges.
• Architect and maintain robust data pipelines and feature sets across training and inference.
• Collaborate with Data Engineers, PMs, and Backend teams to integrate models into APIs.
• Conduct peer reviews and promote production-grade Python design patterns.
• Translate metrics (Precision, Recall, ROC-AUC, RMSE) into business recommendations.

Skills

Analytical thinking

Statistical modeling

Experimentation

System design

Team collaboration

Tools

Python

Pandas

NumPy

SciPy

Scikit-Learn

Docker

SQL

PySpark

Ray

MLflow

DVC

Weights & Biases

AWS

GCP

Azure

SageMaker

Vertex AI

HuggingFace

spaCy

LangChain

Airflow

Prefect

PyTorch

TensorFlow

Job description

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.