Data Scientist

Job Summary:

We are seeking a highly skilled and analytical Data Scientist to join our growing team. You will be responsible for extracting insights from large and complex datasets, building predictive models, and supporting data-driven decision-making across the organization. The ideal candidate is passionate about data, has strong statistical and programming skills, and is eager to apply machine learning techniques to real-world problems.

Key Responsibilities:

• Analyze large datasets to uncover trends, patterns, and insights that inform business decisions.
• Design and build predictive models and machine learning algorithms.
• Work closely with stakeholders to understand business challenges and translate them into data-driven solutions.
• Develop dashboards, reports, and data visualizations to communicate findings clearly.
• Validate models and conduct A/B testing to measure impact.
• Collaborate with data engineers to deploy models into production environments.
• Stay up-to-date with the latest data science tools, techniques, and best practices.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proven experience as a Data Scientist or similar role.
• Strong programming skills in Python or R.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical methods and data modeling techniques.
• Proficiency in SQL and working with relational and non-relational databases.
• Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Experience with big data tools (e.g., Spark, Hadoop).
• Knowledge of cloud platforms (AWS, GCP, Azure).
• Experience in natural language processing (NLP), time series forecasting, or deep learning.
• Familiarity with data versioning and MLOps practices.