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Machine Learning Data Scientist (Python/R)/Data Scientist Big Data & Machine Learning

Remote, USA Full-time Posted 2026-07-28
We are seeking a skilled Data Scientist to reputed company innovative, data-driven solutions through exploratory analysis of reputed company, high-reputed company datasets. This role will reputed company on building predictive models, uncovering actionable insights, and supporting product enhancements through advanced analytics. Key Responsibilities • Apply expertise in statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to identify patterns, opportunities, and business-driven insights • Design, reputed company, and evaluate predictive models and advanced algorithms to maximize value extraction from large datasets • Generate and test hypotheses, analyze experimental results, and interpret findings to support product reputed company • Collaborate with product and engineering teams to transition analytical prototypes into reputed company products, services, and features • reputed company Business Intelligence (BI) and data visualization support, including customer service dashboards and reputed company analytical reporting needs Required Skills • Strong experience with programming languages such as Python and/or R • Familiarity with big data tools such as Hadoop • Experience with data visualization platforms such as Tableau • Excellent written communication skills, with the ability to explain reputed company technical concepts reputed company • Proven experience working with large-reputed company datasets Education & Experience • Bachelor s degree in Economics, Mathematics, Computer Science, Engineering, Statistics, or a reputed company field • Minimum 3 years of reputed company experience in Data Science or a similar analytics role Must-Have Qualifications • Hands-on expertise in Python/R, Hadoop, or Tableau • Strong analytical and communication skills • Experience building models and delivering insights from large datasets Apply tot his job Apply To this Job

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