Python Developer

 

Location: Poland (Remote)

Contract: 6 Months +

Start: ASAP

Key Skills: Innovation | Machine Learning | Data Insights | Real-time Processing | Collaboration | Python | Model Deployment | Docker | Mentorship |

 

Key Responsibilities:

 

Generate innovative ideas and develop compelling business cases, presenting them effectively to stakeholders. Analyze complex datasets to uncover actionable insights, translating findings into strategic recommendations. Communicate data-driven insights through clear verbal presentations and impactful visualizations tailored to diverse audiences. Collaborate with cross-functional teams to establish and implement success metrics, ensuring alignment with product objectives and stakeholder needs. Develop, implement, and fine-tune machine learning models that are scalable, reliable, and efficient for real-time predictions. Partner with Machine Learning Engineers to deploy and maintain models while driving performance enhancements. Work with real-time data, seamlessly integrating it into machine learning frameworks to optimize predictions. Collaborate with Developers and Operations Research Scientists to ensure effective utilization of predictions for operational impact. Foster collaboration within the data science team by sharing best practices, providing feedback, and driving continuous improvement.

 

Experience:

 

Expertise in data science and machine learning methodologies, with proven experience applying them in production settings. Demonstrated success in deploying, scaling, and maintaining machine learning models for long-term use. Proficiency in Python (e.g., scikit-learn, pandas, seaborn) and SQL for data analysis and production applications. Strong grasp of software development practices, including testing, version control (git), code reviews, and lifecycle management for models. Familiarity with Docker containers for creating reproducible and scalable environments. Experience integrating real-time data into machine learning pipelines and frameworks.