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Compunnel, Inc.

Data Scientist

Compunnel, Inc., Houston, Texas, United States, 77246

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We are looking for a skilled Data Scientist with experience in statistical analysis, machine learning, and artificial intelligence (AI) to join our team. The ideal candidate will be proficient in Python or R, with a strong background in data extraction, cleaning, and analysis. You will be responsible for extracting insights from both structured and unstructured data, building predictive models, and helping organizations make data-driven decisions. This role requires a strong analytical mindset and the ability to work with complex datasets to derive meaningful conclusions. Key Responsibilities: Data Analysis & Insight Extraction: Extract insights and knowledge from both structured and unstructured data using scientific methods, algorithms, and systems. Data Collection & Cleaning: Collect, clean, and preprocess data to make it suitable for AI algorithms and ensure high data quality. Predictive Modeling: Build and implement predictive models using programming languages such as Python or R. Statistical Analysis: Apply statistical methods and machine learning algorithms to interpret and analyze complex data, providing valuable insights for decision-making. Data Visualization: Use data visualization techniques to present data and findings in a clear and actionable way. Collaboration & Decision Support: Work with cross-functional teams to interpret data and support data-driven decision-making within the organization. Required Qualifications: Experience: Minimum 5+ years of experience in statistical analysis and data science. Programming Skills: Proficiency in Python or R, and experience with other relevant programming languages. SQL Knowledge: Strong understanding of SQL, especially for working with relational databases. AI/Intent Intelligence: At least 3 years of experience in AI and Intent Intelligence, including machine learning and data analysis. Preferred Qualifications: Analytical Skills: Strong analytical and problem-solving abilities to interpret complex datasets. Problem-solving: Demonstrated ability to approach data challenges with creative solutions and actionable insights. Certifications: Certifications related to data science, machine learning, or AI are a plus (not mandatory).

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