
Data Science Intern
Posted 17 hours ago

Posted 17 hours ago
This is a fully remote position, open to applicants in United States.
β’ Gather, cleanse, and analyze extensive datasets from various sources utilizing statistical and programming methodologies.
β’ Decode intricate data to produce actionable insights.
β’ Convey findings through dashboards, visualizations, and presentations.
β’ Utilize supervised and unsupervised statistical modeling along with machine learning techniques to address real-world challenges within the sales domain.
β’ Work in partnership with cross-functional teams to aid in problem resolution.
β’ Identify proactive opportunities for enhancement and contribute to positive business results.
β’ Develop technical, analytical, and professional skills while fostering relationships across the organization.
β’ Currently enrolled in a graduate program (MS, PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative discipline.
β’ Strong foundational understanding of statistical modeling, machine learning, forecasting, and data analysis.
β’ Proficient in at least one programming language commonly used in data science, such as Python, R, or SQL.
β’ Familiar with data visualization tools like Tableau, Power BI, matplotlib, or ggplot.
β’ Relevant coursework in statistical methods, machine learning, programming and data wrangling, data visualization and communication, as well as domain-specific or advanced subjects.
β’ Strong problem-solving capabilities with the ability to "connect-the-dots" between data and business requirements.
β’ Effective communication skills for presenting technical concepts to non-technical audiences.
β’ Exclusive opportunities to network and engage with company leadership.
β’ Tailored professional development sessions.
β’ Competitive compensation package.
β’ Paid corporate holidays.
β’ Assigned mentor.
β’ Practical training.
β’ Collaborative and supportive workplace environment.
β’ Opportunities to connect with colleagues and leaders throughout the organization.
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