Senior Data Scientist (Python)

Posted July 19, 2026

About this opportunity

Opportunity Overview

Proxify is hiring a Senior Data Scientist to work remotely on a full-time, contract basis. The company, which has worked with 1200+ clients and has a network of 5000+ talented developers, is looking for a technical lead in data innovation to transform complex datasets into predictive models and actionable systems. The ideal candidate will have 5+ years of professional experience as a Data Scientist, with expert-level mastery of the Python data ecosystem. The role involves working with a range of technologies, including machine learning lifecycle tools, cloud data infrastructure, and managed ML services. The company values clean, modular Python architecture, statistical rigor, and scalable data pipelines. The position requires a strong understanding of supervised and unsupervised learning, regression, classification, clustering, and time-series forecasting. The candidate should also have experience with designing, building, and optimizing scalable predictive models and machine learning algorithms.

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 into clear business outcomes and executive-level recommendations

Benefits

On-time monthly payments with flexible withdrawal options
Predictable project hours with consistent 8-hour working days
Up to 24 flex days off per year without losing pay
Career-accelerating positions at cutting-edge companies
Hand-picked opportunities, personally matched to the candidate
One seamless process for multiple opportunities
Same pay every month with positions landed through Proxify

Requirements & Qualifications

5+ years of professional experience as a Data Scientist
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)

How to Apply

Review the job description and requirements to ensure a good fit.
Prepare a strong application, including a resume and cover letter.
Click the Apply button below to submit your application.

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