Data Scientist

Job Description

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.