Data Scientist

Company Description  Guru Forum partners with invite-only Top 1% companies to power White Papers Launch, a platform where leading organizations share high-impact industry research and strategic insights. These companies introduce market analyses, analyst reports, innovation studies, GCC reports, AI trends, cybersecurity outlooks, and category-defining narratives to a global business audience. The platform connects decision-makers with rigorously developed data and thought leadership that shapes future business strategies.

As part of this ecosystem, Guru Forum offers data professionals the opportunity to work on cutting-edge topics and collaborate with high-performing teams across industries.

Role Description  This is a full-time remote Data Scientist role. The Data Scientist will collect, clean, and analyze complex datasets to support the creation of industry whitepapers, research reports, and strategic insights for Top 1% companies. Daily responsibilities include building and validating statistical and machine learning models, performing exploratory data analysis, and developing clear visualizations and dashboards to communicate findings. The role involves collaborating with research, product, and client teams to frame business problems, translate them into analytical approaches, and present data-driven recommendations in a concise, accessible manner.

The Data Scientist will also document methodologies, ensure data quality, and contribute to continuous improvement of analytic frameworks and tools.
Qualifications
Strong foundation in Data Science and Statistics, with the ability to design experiments, build models, and interpret quantitative results.
Proficiency in Data Analytics and Data Analysis to extract insights, identify patterns, and support evidence-based decision-making.
Experience in Data Visualization, including creating clear, informative charts, dashboards, and visual narratives for non-technical stakeholders.
Hands-on experience with programming languages and tools commonly used in data science (e.g., Python or R, SQL, and relevant libraries/frameworks).
Familiarity with machine learning techniques, model evaluation, and deployment best practices.
Ability to communicate complex analytical concepts in straightforward language, both in writing and verbally.
Bachelor’s or master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
Comfort working independently in a remote environment, managing priorities, and collaborating effectively across distributed teams.
Experience working with business, market, or industry data; exposure to AI or cybersecurity topics is a plus.