Django Developer -- Data Science & Algo Focus | Remote

Hubstaff blog; Lemont (IL); Remote; USD 100,000 - 125,000; Full time

Job summary

An innovative firm is seeking a talented Django Developer with a strong focus on data science to join their dynamic team. In this remote full-time role, you will be responsible for developing complex web applications that enhance AI capabilities and deliver impactful solutions. Your expertise in backend development, combined with a passion for data science, will drive the integration of machine learning models and analytics tools into applications. This is a fantastic opportunity to work in a fast-paced environment, collaborating with cross-functional teams to create high-quality products that make a difference in the industry.

Qualifications

• Strong background in data science and backend development.
• Proficiency in Python and Django with experience in database management.

Responsibilities

• Develop and maintain scalable web applications using Django.
• Collaborate with data scientists to integrate machine learning models.

Skills

Python

Django

Data Science

Problem-Solving

Communication

Tools

PostgreSQL

MySQL

MongoDB

Git

Docker

Kubernetes

TensorFlow

PyTorch

Job description

Django Developer -- Data Science & Algo Focus | Remote full time

Location: Remote

Job Type: Full-time

We are seeking a highly skilled Django Developer with a strong background in data science to join our team. In this role, you will be responsible for developing and maintaining complex web applications that support our data-driven products.

Your work will directly contribute to the enhancement of our AI capabilities and the delivery of high-impact solutions to our clients. This position is ideal for someone who is passionate about both backend development and data science, and who thrives in a dynamic, fast-paced environment.

Key Responsibilities:

• Backend Development: Design, develop, and maintain scalable web applications using Django, ensuring they are efficient, secure, and easy to maintain.
• Data Science Integration: Collaborate with our data science team to integrate machine learning models, data pipelines, and analytics tools into web applications.
• API Development: Develop RESTful APIs to enable seamless integration between our applications and external systems.
• Database Management: Design and optimize database schemas, manage migrations, and ensure data integrity and performance across our platforms.
• Performance Optimization: Monitor and improve the performance of our applications, ensuring they are responsive and can handle high volumes of traffic and data.
• Testing and Debugging: Write unit and integration tests to ensure the reliability of the codebase, and troubleshoot and resolve any issues that arise.
• Collaboration: Work closely with cross-functional teams, including front-end developers, data scientists, and product managers, to deliver high-quality products on time.
• Continuous Learning: Stay up-to-date with the latest developments in Django, Python, data science, and AI technologies, and apply new knowledge to your work.

Qualifications:

• Data Science Knowledge: Solid understanding of data science principles, including experience working with data scientists to implement machine learning models and data pipelines.
• Programming Skills: Proficiency in Python, with a deep understanding of Django and related libraries. Familiarity with data science libraries such as Pandas, NumPy, and Scikit-learn is a plus.
• Database Skills: Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
• API Development: Proven experience in designing and developing RESTful APIs.
• Version Control: Proficient in Git and version control workflows.
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and adapt to changing requirements.
• Communication: Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Remote Work: Self-motivated, disciplined, and comfortable working in a remote environment.

Preferred Qualifications:

• AI/ML Experience: Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and deploying machine learning models into production.
• Cloud Experience: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• DevOps Knowledge: Experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).