Key Responsibilities:
Analyze large, complex datasets to identify trends, patterns, and insights.
Design and implement machine learning models and algorithms to solve business challenges.
Build predictive models and recommendation systems to support key business objectives.
Communicate findings and recommendations to stakeholders through clear data visualizations and reports.
Collaborate with data engineers and software developers to deploy scalable data science solutions.
Continuously monitor and improve the performance of deployed models.
Stay up-to-date with the latest developments in data science, machine learning, and AI technologies.
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
5+ years of experience as a Data Scientist, with a strong portfolio of successful projects.
Proficient in Python or R, with hands-on experience in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Strong experience with SQL and working with large relational databases.
Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn.
Knowledge of cloud platforms like AWS, Azure, or Google Cloud is a plus.
Excellent problem-solving, analytical thinking, and communication skills.
