Data Scientist

Cyann.ai; India; On-site; USD 340 - 795; Full time

Job summary

An established industry player is seeking a passionate Data Scientist to support innovative projects focused on Machine Learning. In this entry-level role, you will assist in developing and implementing data models, engage in data preprocessing, and collaborate with experienced scientists. This is a fantastic opportunity to learn and grow in the field of AI, contributing to meaningful data-driven solutions while enhancing your skills in Python and machine learning libraries. Join a diverse team that values innovation and collaboration, and make a real impact in the world of data science.

Qualifications

• Bachelor's degree in a relevant field with a strong interest in Machine Learning.
• Experience in data science and strong Python programming skills.

Responsibilities

• Assist in developing Machine Learning models and algorithms.
• Perform data preprocessing and analysis for data-driven solutions.

Skills

Machine Learning

Python Programming

Data Analysis

Deep Learning

Problem-Solving

Effective Communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Tools

Dataiku

scikit-learn

pandas

NumPy

Job description

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects.

Job Description:

• Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions.
• Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives.
• Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists.
• Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience.
• Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
• Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI.
• Experience in a data science role, demonstrating practical experience and strong Python programming skills.
• Exposure to Business Intelligence (BI) & Data Engineering concepts and tools.
• Familiarity with data platforms such as Dataiku is a bonus.

Skills:

• Solid understanding of Machine Learning principles and practical experience in Python programming.
• Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy).
• Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills.
• Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
• Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems.
• Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.

Cyann.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: IT Services and IT Consulting