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SNIPEBRIDGE

Senior Data Scientist

SNIPEBRIDGE, Houston, Texas, United States, 77246

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Senior Data Scientist

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SNIPEBRIDGE . 2 days ago Be among the first 25 applicants. Company The company specializes in digital enablement and transformation using industry-leading process mining, data management, and automation platforms. They help Fortune 500 companies become more process-efficient and improve their end-customer experience through RPA, AI, and ML-powered solutions. The company has been growing rapidly and is looking to add experienced professionals to their core technology team. Position Summary We are seeking a Senior Data Scientist to drive actionable insights using artificial intelligence and machine learning algorithms. The candidate will conduct and manage analysis and modeling in areas such as machine learning, neural networks, and robotics. Key Responsibilities Collaborate with business partners to align technology solutions with business strategies. Translate business questions into analytical problems and recommend solutions using statistical modeling, text mining, machine learning, and AI techniques. Collect, clean, and analyze data from multiple systems to mine insights. Design and deliver high-quality solutions and insights using algorithms like Neural Networks, Genetic Algorithms, Deep Learning, and Reinforcement Learning, and communicate findings effectively. Contribute to multiple projects and collaborate with team members for timely delivery. Required Experience, Skills & Education 9+ years of experience in text mining, NLP, machine learning, deep learning, and AI-based models. Proficiency in Python, R, SQL, SAS. Experience with Big Data, Cloud, Hadoop, Spark, and deployment is a plus. Strong background in developing large-scale analytical solutions. Ability to independently solve complex data analytics problems. Industry experience in High-Tech, Manufacturing, Retail, or Pharma. Master's degree in statistics, mathematics, computer science, or business analytics. Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Information Technology Industries

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