About the projects and role:

We are seeking a highly motivated and detail-oriented Junior Data Scientist. You will work on data analysis, machine learning model development, and data-driven decision-making to improve business outcomes. This is a good opportunity for a recent graduate or an early-career professional to gain hands-on experience in a dynamic and data-driven environment.

Key responsibilities and tasks:

• Collect, clean, and preprocess structured and unstructured data from various sources.
• Conduct exploratory data analysis (EDA) to identify patterns and insights.
• Develop, implement, and validate machine learning models under supervision.
• Optimize and fine-tune algorithms for performance improvements.
• Create data visualizations and dashboards using tools such as Tableau, Power BI, or Matplotlib.
• Write efficient SQL queries for data extraction and manipulation.
• Assist in designing and running A/B tests to evaluate model performance and business impact.
• Document methodologies, experiments, and processes clearly and concisely.
• Collaborate with cross-functional teams, including data engineers, software developers, and business analysts.
• Stay up to date with the latest advancements in data science, machine learning, and artificial intelligence.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-Learn, etc.).
• Strong understanding of statistical analysis and probability.
• Familiarity with supervised and unsupervised machine learning techniques.
• Experience with SQL and database management.
• Basic understanding of data visualization tools like Tableau, Power BI, or Matplotlib.
• Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Experience working with big data technologies (Spark, Hadoop, etc.).
• Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus.
• Understanding of MLOps practices and CI/CD pipelines.
• Prior experience in data-driven business problem-solving.