We are seeking a motivated and analytical Junior Data Scientist to join our dynamic team. This entry-level position is perfect for individuals eager to advance their career in the field of data science and analytics, utilizing industry-leading tools and technologies.

Key Responsibilities:

• Develop and implement data processing pipelines, machine learning models and algorithms using Python.
• Efficiently query and manipulate large datasets using SQL.
• Work with spreadsheets to automate various data processes.
• Design and create reports using PowerBI to aid strategic decision-making.
• Collaborate with cross-functional teams to understand data needs and deliver scalable solutions.
• Participate in the development and maintenance of data pipelines and architectures.
• Assist in the integration of cloud technologies (AWS, Azure, Google Cloud) to enhance data processing and analytics capabilities.

Requirements:

• Strong proficiency in Python, with a good understanding of libraries like pandas, NumPy, and scikit-learn.
• Experience with SQL and relational databases.
• Familiarity with spreadsheet tools such as Microsoft Excel or Google Sheets.
• Basic knowledge of data visualization and reporting tools like PowerBI.
• Enthusiasm for and a basic understanding of cloud services (AWS, Azure, Google Cloud).
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills.
• Experience with BigQuery and dbt is considered a strong plus.
• Prior exposure to machine learning or data engineering projects is a plus.