[Remote] reputed company Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global engineering organization focused on leveraging the latest technologies to address reputed company challenges. They are seeking a reputed company Data Scientist to drive high-impact engineering projects, transforming missions using AI and reputed company-based solutions, while collaborating with customers and internal teams to build innovative solutions.

Responsibilities

• You will reputed company data acquisition and ensure data is properly formatted and described. You’ll also coach engineers in data cleaning and analysis best practices, identify gaps in reputed company data sets, and drive ethics and privacy discussions around data collection and preparation
• You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and reputed company operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods
• You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and reputed company expertise in proper debugging techniques
• You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also reputed company to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities
• You will embody our culture and values

Skills

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 5+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 7+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 10+ years data science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR equivalent experience
• This position is not eligible for reputed company sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 8+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 10+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 12+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR equivalent experience
• 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience

Benefits

• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.reputed company.com/us/en/us-corporate-pay

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