Data Science Fresher (AI/ML)

We are hiring for Pitangent Analytics & Software.
Overview
The Data Science Fresher (AI/ML) role is a pivotal entry-level position designed for recent graduates aspiring to launch their careers in the fields of Artificial Intelligence (AI) and Machine Learning (ML). In this role, you will support the development and implementation of data-driven solutions that enhance our organizational capabilities. You will work alongside experienced data scientists and engineers, gaining invaluable hands-on experience with various data sets and methodologies.
The importance of this role cannot be understated, as you will contribute to projects that leverage AI and ML to optimize decision-making processes and provide innovative solutions. This position not only helps in building a strong foundation in data science but also enables you to participate in transformative projects that have real-world impacts.
Key Responsibilities

• Assist in the collection and preprocessing of structured and unstructured data.
• Utilize statistical methods to analyze data and validate results.
• Implement machine learning models to solve business problems.
• Collaborate with senior data scientists on project requirements and data interpretations.
• 
  Visualize data insights using tools such as Matplotlib or Seaborn.
• Participate in code reviews and ensure code quality.
• Support the development of documentation for data processes and techniques.
• Engage in ongoing learning and development related to AI and ML technologies.
• Contribute ideas and suggestions in team meetings.
• Assist with model deployment and monitoring performance metrics.
• Perform exploratory data analysis to discover trends and patterns
• Solid grasp of statistical analysis techniques.
• Experience with Git for version control.
• Strong analytical and problem-solving skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.

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Get Hired
• A keen interest in AI and ML developments.
• Strong attention to detail and commitment to quality.
• Ability to work independently as well as collaboratively in a team environment.
• Eagerness to learn new technologies and methodologies.
• Familiarity with cloud platforms (AWS, Google Cloud) is a plus.
• Internship or project experience in data science is desirable but not mandatory.
  

Skills: python for data analysis,data visualization,artificial intelligence (ai),statistical analysis,machine learning,data preprocessing,git,problem solving,critical thinking,exploratory data analysis,machine learning (ml),data collection,data analysis,cloud platforms (aws, google cloud)