Data Scientist

Key Responsibilities

• Analyze large datasets to extract insights, build predictive models, and support data-driven decisions.
• Design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems.
• Work with structured and unstructured data, performing data cleaning, pre processing, and feature engineering.
• Present findings clearly using data visualizations and dashboards (e.g., Power BI, Tableau, or Matplotlib/Seaborn).
• Collaborate with engineering and product teams to deploy models into production.
• Continuously improve models based on performance metrics and feedback.

Required Skills & Qualifications

• 6 - 10 years of experience in data science, analytics, or applied machine learning.
• Strong programming skills in Python (pandas, scikit-learn, NumPy, etc.).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch is a plus).
• Proficient in working with SQL and relational databases.
• Experience in data visualization tools like Tableau, Power BI, or libraries like Plotly/Matplotlib.
• Experience in Warehousing or Big Query (Mandatory)
• Understanding of statistical techniques and hypothesis testing.
• Experience with cloud platforms (AWS/GCP/Azure) is a plus.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.