Junior Data Scientist

Job Description | Junior Data Scientist

About the Role

We are looking for a motivated Junior Data Scientist to join a growing data team focused on transforming large volumes of data into actionable insights. This is an excellent opportunity for someone with a strong quantitative background who enjoys solving complex problems using statistical methods, machine learning, and programming.

You will work closely with cross-functional teams to develop analytical models, identify business opportunities through data, and contribute to data-driven decision-making.

Key Responsibilities

• Analyze and interpret large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, validate, and optimize statistical and machine learning models.
• Apply advanced analytical techniques, including multivariate statistics, predictive modeling, and network analysis.
• Clean, transform, and prepare structured and unstructured data for analysis.
• Build reproducible analytical workflows using Python and/or R.
• Collaborate with business and technical stakeholders to understand requirements and translate them into analytical solutions.
• Present findings and recommendations through clear visualizations and reports.
• Contribute to the continuous improvement of analytical methodologies and best practices.

Required Qualifications

• Bachelor's Degree in Mathematics, Statistics, or a related quantitative discipline such as Physics, Engineering, or another field with a strong mathematical and statistical foundation.
• Ideally, a Master's Degree in Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
• 1 to 2 years of experience working on analytical or data science projects.
• Strong understanding of statistical methodologies, including multivariate analysis, predictive modeling, machine learning, and network analysis.
• Experience working with large datasets and performing data preparation, transformation, and analysis.
• Strong programming skills in Python and/or R.
• Good knowledge of SQL for data extraction and manipulation.
• Excellent analytical thinking and problem-solving skills.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Professional proficiency in English.

Nice to Have

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with big data technologies such as Spark or Hadoop.
• Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib.
• Knowledge of version control using Git.

What We're Looking For

• Curious and data-driven mindset.
• Passion for statistics, machine learning, and solving real-world problems.
• Strong attention to detail and analytical thinking.
• Ability to work collaboratively in multidisciplinary teams.
• Eagerness to learn new technologies and continuously develop technical skills.
• Proactive attitude and ownership of assigned tasks.