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    Senior Data Scientist - Houston, United States - SNIPEBRIDGE

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    Description

    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 the use of RPA, AI & ML powered solutions. The company has been growing at an accelerated pace and is looking to add experienced folks to their core technology team.

    POSITION SUMMARY

    we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms. The candidate should conduct and manage analysis and modelling in the areas of machine learning, neural networks, robotics etc.

    KEY RESPONSIBILITIES

    • Work with business partners within one business process to align technology solutions with business strategies.
    • Ability to translate business questions into analytical problems and recommend solutions using statistical modelling, text mining, machine learning, artificial intelligence techniques
    • Utilize technologies to collect, clean and analyze data from multiple systems and mine insights
    • Conceptualize, design, and deliver high quality solutions and insightful analysis using algorithms like Neutral Networks, Genetic Algorithm, Deep Learning, Reinforcement Learning and effectively communicates information
    • Contribute to multiple projects and collaborate with other team members for timely and successful delivery.

    REQUIRED EXPERIENCE, SKILLS & EDUCATION

    • 9+ years of relevant experience conducting text mining, NLP, machine learning, deep learning, artificial intelligence techniques-based models
    • Tool Expertise -Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment
    • Strong background in developing and supporting very large-scale analytical solutions
    • Ability to be an independent contributor to solve complex data-analytics problems
    • Industry experience in High-Tech, Manufacturing, Retail, Pharma
    • Master's degree in statistics, mathematics, computer science, business analytics

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