WeVOIS Labs is hiring for a fresher entry level Data Science Executive role in India

Position:

• Role: Data Science Executive

Company:

• Name: WeVOIS Labs Pvt. Ltd.

Location:

• City/State: Jaipur, Rajasthan, India

Job Type:

• Type: Full-time

Job Mode:

• Mode: On-site

Job Requisition ID:

• ID: Not specified

Years of Experience:

• Required Experience: Freshers and candidates with internship experience in data science, machine learning, or software development

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Company Description:

• WeVOIS Labs Pvt. Ltd. is a leading player in the environmental services industry, specializing in solid waste management.
• The company envisions a greener and cleaner tomorrow through sustainable waste management practices.
• With an innovative approach, WeVOIS utilizes IoT-based automated solutions for efficient door-to-door waste collection, contributing to a circular economy.
• Aimed at creating eco-friendly waste management systems, the company provides reliable services to ensure timely trash collection.
• The organization prides itself on its dedicated team, working round the clock to deliver exceptional results for cleaner surroundings.

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Profile Overview:

• The role of a Data Science Executive at WeVOIS Labs Pvt. Ltd. involves leveraging expertise in data analysis, machine learning, and software development to drive impactful projects.
• The position demands active collaboration with cross-functional teams to deliver data-driven solutions aligned with the organization’s goals.
• Candidates will focus on analyzing complex datasets, developing machine learning models, and integrating scalable data pipelines.
• Key responsibilities include contributing to both web development and backend processes, ensuring the seamless implementation of data science initiatives.
• The role emphasizes innovation, technical expertise, and adaptability in applying data-driven insights for practical applications.

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Key Responsibilities:

Data Analysis and Machine Learning:

• Analyze large and complex datasets to uncover patterns and actionable insights.
• Develop and deploy machine learning models tailored to solve real-world challenges.
• Implement advanced tools and algorithms to enhance data processing efficiency.

Data Pipeline Development:

• Design, maintain, and optimize scalable data pipelines for seamless data flow.
• Ensure data pipelines are robust and capable of handling dynamic business requirements.

Software and Web Development:

• Collaborate on web development projects using frameworks like React.js for the frontend.
• Work with Python-based tools to enhance backend functionalities.
• Partner with software development teams to integrate data science solutions into existing systems.

Documentation and Collaboration:

• Prepare detailed and well-structured documentation for models, tools, and processes.
• Foster collaboration across teams to ensure cohesive project execution.

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Qualifications:

Educational Background:

• Degree: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

Technical Expertise:

• Proficiency in Python for data analysis and machine learning applications.
• Experience with React.js for building intuitive frontend interfaces.
• Familiarity with SQL and NoSQL databases for effective data storage and retrieval.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud (preferred).
• Understanding of version control systems, especially Git, to manage codebases effectively.

Soft Skills:

• Strong analytical and problem-solving abilities to address technical challenges.
• A quick learner with adaptability to grasp and implement new technologies.

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Additional Information:

• How to Apply:

  • Candidates are encouraged to send their resumes and a brief cover letter to hr@wevois.com.

• Desired Skills:

  • Expertise in Python, TensorFlow, PyTorch, and Scikit-learn for machine learning.
  • Proficiency in data manipulation tools like Pandas and NumPy.
  • Knowledge of modern development frameworks such as React.js.
  • Familiarity with cloud computing platforms and database systems.

• Opportunities:

  • Exposure to cutting-edge data science practices.
  • Collaboration with an innovative team dedicated to impactful environmental solutions.
  • Growth prospects in a dynamic and mission-driven organization.

Please click here to apply.

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