What makes you a great fit:

• Analyze large sets of structured and unstructured data to identify patterns, trends, and insights.
• Develop predictive models, machine learning algorithms, and advanced statistical techniques to solve business challenges.
• Collaborate with data engineers to design and implement data pipelines and architectures.
• Present findings and recommendations to internal and external stakeholders in a clear and actionable manner.
• Continuously improve models by testing and validating new approaches.
• Assist in building data-driven decision-making tools and dashboards for clients.
• Stay updated on the latest advancements in data science, AI, and machine learning.
• Ideal candidate will have following Background and Skills:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience working as a Data Scientist or similar role.
• Proficiency in programming languages like Python, R, or SQL.
• Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of data manipulation, data wrangling, and data visualization tools (e.g., Pandas, NumPy, Tableau, Power BI).
• Experience in deploying machine learning models and working with cloud platforms like AWS, Azure, or GCP.
• Strong problem-solving abilities with a keen understanding of machine learning algorithms and statistical techniques.
• Excellent communication skills and the ability to explain complex data insights to non-technical stakeholders.
• Ability to work in a fast-paced, agile environment, managing multiple projects and priorities.
• A collaborative team player with experience working in cross-functional teams, including data engineers, analysts, and business stakeholders.