Data Scientist

Key Responsibilities:
 

• Analyze large datasets to extract actionable insights and drive data-driven decision-making.
   
• Develop predictive models and machine learning algorithms to solve business problems.
   
• Design and implement data preprocessing, feature engineering, and model training pipelines.
   
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
   
• Communicate findings and recommendations to stakeholders through data visualization and storytelling.
   
• Stay abreast of the latest developments in data science, machine learning, and AI technologies.
   

Required Skills:
 

• 3-4 years of hands-on experience in data analysis and machine learning.
   
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
   
• Experience with machine learning libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch.
   
• Strong understanding of statistical concepts and techniques.
   
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
   
• Familiarity with SQL and relational databases for data querying and manipulation.
   
• Excellent problem-solving and analytical skills, with attention to detail.
   
• Good communication and collaboration skills, with the ability to work effectively in a team environment.