Data Scientist
March 20
🏢 In-office - Manhattan
Description
• Collect and prepare data from multiple sources to ensure a robust and reliable data foundation. • Analyze large sets of complex data to uncover hidden patterns and insights. • Develop and select meaningful features to enhance model accuracy and efficiency. • Design and implement predictive models and algorithms using machine learning techniques. • Develop natural language understanding methods out of free-unstructured-text using entity extraction and sentiment analysis. • Ensure the quality and accuracy of models through rigorous testing and validation. • Collaborate with cross-functional teams to translate data insights into actionable strategies. • Stay up-to-date with the latest advancements in machine learning and data science techniques.
Requirements
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. • At least 2 years of experience in a data science or data engineering role. • Proficiency in standard machine learning tools, with a strong preference for experience in Python libraries. • Experience with big data technologies such as Hadoop or Spark is a plus • Strong analytical and problem-solving skills, with an ability to handle complex, multivariable analyses. • Excellent communication skills, both verbal and written.
Benefits
• Competitive salary • Opportunity to work in a dynamic and innovative environment • Contribution to the development of energy-efficient solutions • Professional growth and development opportunities
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