v4c.ai is hiring for a fresher Associate Data Scientist role

Position:

Associate Data Scientist

Company:

v4c.ai

Location:

India

Job Type:

Full-time

Job Mode:

Remote

Job Requisition ID:

N/A

Years of Experience:

0-2 years

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Company Description:

• v4c.ai is a progressive company at the forefront of technological innovation.
• Specializes in cutting-edge solutions that leverage Machine Learning, Deep Learning, and Artificial Intelligence.
• Employs a dedicated team of 51-200 professionals who are passionate about creating transformative data-driven solutions.
• Committed to fostering an inclusive and diverse work environment, valuing each employee's unique contributions.
• Advocates for equal opportunity, welcoming individuals from all backgrounds and experiences.
• Encourages continuous professional development, supporting employees in their journey to enhance their skills and knowledge.
• Believes in the power of collaboration and innovation, striving to create a dynamic workplace where ideas thrive.
• Engages in a variety of innovative projects, aiming to solve complex problems and drive progress in the field of data science.
• Places a strong emphasis on transparency and reproducibility in its data science processes.
• Promotes a culture of respect, valuing every team member and their input.

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Profile Overview:

• Role: Associate Data Scientist
• Responsibilities:
  • Support the development and implementation of data models with a focus on Machine Learning.
  • Assist in designing and implementing data-driven solutions.
  • Perform data preprocessing, cleaning, and analysis to prepare datasets for modeling.
  • Contribute to higher-level data science initiatives.
  • Learn from and engage in projects involving Deep Learning and General AI.
  • Participate in continuous professional development through training and practical experience.
  • Collaborate with team members to ensure effective implementation of data science solutions.
  • Participate in brainstorming sessions and project discussions.
  • Document methodologies and results for transparency and reproducibility.
• Key Areas of Focus:
  • Machine Learning
  • Deep Learning
  • General AI
  • Data preprocessing and analysis
  • Collaborative project development
  • Documentation and transparency in data science processes

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Qualifications:

• Educational Background:
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Strong interest in Machine Learning, Deep Learning, and AI.
• Technical Skills:
  • Solid understanding of Machine Learning principles.
  • Practical experience with Python programming.
  • Familiarity with data science and machine learning libraries (e.g., scikit-learn, pandas, NumPy).
  • Exposure to Business Intelligence (BI) and Data Engineering concepts and tools.
  • Familiarity with data platforms such as Dataiku (a bonus).
• Other Skills:
  • Strong analytical and problem-solving abilities.
  • Capable of tackling data-related challenges and deriving meaningful insights.
  • Effective communication skills for collaborative work in a team environment.
  • Basic industry domain knowledge with a willingness to deepen expertise.

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Any Additional Info:

• Company Culture and Values:
  • Equal Opportunity Employer: Committed to creating an inclusive environment for all employees.
  • Diversity: Values diversity and strives to foster a culture where every team member feels valued and respected.
  • Innovation: Passionate about leveraging innovative technologies to drive progress.
  • Collaboration: Believes in the power of collaborative efforts and teamwork.
  • Professional Development: Encourages continuous learning and skill enhancement among employees.
• Employee Benefits:
  • Inclusive and supportive work environment.
  • Opportunities for professional growth and development.
  • Collaborative projects that encourage innovation and creativity.
• Application Encouragement:
  • Invites applications from individuals of all backgrounds and experiences.
  • Seeks individuals passionate about diversity, innovation, and collaboration.
  • Emphasizes the importance of feeling valued and respected within the team.
• Work Environment:
  • Dynamic and engaging work setting.
  • Focus on solving real-world problems with data science principles.
  • Supportive of employees’ professional journeys and growth.

Please click here to apply.

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