Junior Data Scientist
4 weeks ago
Collect, clean, and preprocess data from various sources to ensure its quality and reliability.
Explore and visualize data using tools like Python, R, and SQL to identify patterns, trends, and relationships.
Develop and implement machine learning algorithms and statistical models to solve complex business problems.
Continuously evaluate the performance of data models and refine them as needed to improve their accuracy and effectiveness.
Communicate findings and recommendations to stakeholders through clear and concise reports, presentations, and data visualizations.
Stay up-to-date with the latest developments in data science and machine learning, and contribute to the team's knowledge-sharing initiatives.
Requirements
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
Strong programming skills in Python, R, or other relevant languages.
Proficiency in data manipulation and analysis tools, such as SQL, Pandas, and NumPy.
Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
Excellent problem-solving and critical thinking skills.
Good communication and presentation abilities.
Willingness to learn and adapt to new technologies and techniques.
Knowledge on data visualization tools like Tableau or Power BI.
Knowledge of Agile software development methodologies.
Familiarity with cloud computing platforms, such as AWS or Google Cloud.
Ability to work effectively in a team and collaborate with cross-functional stakeholders.
Benefits
Competitive salary and benefits package
Opportunities for professional development and career advancement
Flexible work hours and remote work options
Dynamic and collaborative work environment
Company-sponsored social events and team-building activities
If you are a fresh graduate with a passion for data science and a strong technical foundation, we encourage you to apply for this Junior Data Scientist position at Cognifo Technologies. This role offers an excellent opportunity to kickstart your career in the dynamic field of data science and contribute to the development of innovative software solutions.RequirementsBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Strong programming skills in Python, R, or other relevant languages. Proficiency in data manipulation and analysis tools, such as SQL, Pandas, and NumPy. Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Excellent problem-solving and critical thinking skills. Good communication and presentation abilities. Willingness to learn and adapt to new technologies and techniques. Knowledge on data visualization tools like Tableau or Power BI. Knowledge of Agile software development methodologies. Familiarity with cloud computing platforms, such as AWS or Google Cloud. Ability to work effectively in a team and collaborate with cross-functional stakeholders.
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