Data Scientist

Responsibilities:

• Develop, implement, and optimize machine learning models to address business challenges.
• Analyze and interpret complex datasets to provide actionable insights.
• Design and implement data pipelines and workflows for seamless integration and processing.
• Collaborate with cross-functional teams to define data requirements and deliver tailored solutions.
• Monitor and improve model performance and scalability in production environments.
• Present findings and recommendations to both technical and non-technical stakeholders.
• Stay updated on the latest advancements in data science, machine learning, and AI technologies.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• A minimum of 3 years of hands-on experience in data science, analytics, or related roles.
• Proficiency in Python, R, or similar programming languages.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of SQL and database management.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn).
• Excellent problem-solving and critical-thinking skills.
• Strong communication skills for presenting data-driven insights effectively.

Preferred Skills:

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
• Knowledge of natural language processing (NLP) or deep learning techniques.
• Exposure to MLOps and CI/CD pipelines.