Data Science Solutions Developer

As a Data Science Front-end Developer, you will be responsible for developing and maintaining the user interface of our data-driven applications. You will work closely with data scientists, back-end developers, and UX/UI designers to create interactive and user friendly dashboards, data visualizations, and web applications that enable our clients to make informed decisions based on data insights.

Key Responsibilities:

• User Interface Development: Design and implement intuitive, responsive, and visually appealing front-end interfaces for data-driven web applications.

Data Visualization: Collaborate with data scientists to create interactive data visualizations that help translate complex data into actionable insights.

Integration with Back-End Services: Work closely with back-end developers to ensure seamless integration of front-end components with server-side logic, APIs, and data sources.Performance Optimization: Optimize applications for maximum speed and scalability, ensuring efficient handling of large datasets.

• Collaboration: Work in a cross-functional team environment, collaborating with data scientists, UX/UI designers, and other developers to deliver high-quality products

AI integrated Product Development: Possess the knowledge of LLMs and use it to build AI business intelligence products.

Code Quality: Maintain high standards of code quality through code reviews, testing, and adhering to best practices in development.Stay Updated: Keep up with the latest trends in front-end development and data visualization technologies, and continuously improve your skills and knowledge.

• Qualifications:

Bachelor's/Master's degree in computer science, Date Science, Information Technology, or a related field.

• 1+ years of experience in front-end development with a focus on data-driven applications.

Proficiency in HTML, Python, CSS, JavaScript, and modern front-end frameworks like React, Angular, or Vue.js.

• Experience with data visualization libraries such as D
• js, Plotly, or similar.

Familiarity with back-end technologies and APIs.

• Understanding of data science concepts and experience working with data scientists.

Strong problem-solving skills and attention to detail.

• Ability to work in a collaborative team environment and communicate effectively with non-technical stakeholders.

Experience with version control systems such as Git.

• Preferred Qualifications:

Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

• Familiarity with Python and popular data science libraries like Pandas, NumPy, and Scikit-learn.

Knowledge of UX/UI design principles.

• Experience in Agile development methodologies.

Job Type: Full-time

Benefits:

• Health insurance

Provident Fund
Schedule:

• Evening shift

Monday to Friday
Supplemental Pay:

• Yearly bonus

Application Question(s):

• What is your Current CTC

What is your Notice Period

Experience:

• total work: 1 year (Required)

Work Location: In person