Remote Data Scientist

Description:

• This role presents an excellent opportunity for a proactive and analytical Data Scientist with approximately three years of professional experience, eager to apply and expand their expertise in a dynamic, data-driven environment.
• The individual will serve as a key contributor to our data science initiatives, working closely with the Director of Data Science, senior data scientists, and various cross-functional teams.
• The primary objective will be to transform complex raw data into actionable insights that directly drive strategic business decisions and improve operational efficiency.
• This position offers significant opportunities for hands-on machine learning model development, in-depth data analysis, and active participation in the full lifecycle of data science projects.
• Contributions will be made while benefiting from direct mentorship and a clear professional growth path within the team.

Requirements:

• A minimum of 3+ years of demonstrable professional experience in a Data Scientist, Data Analyst, or a closely related quantitative role is required.
• The experience should include a proven track record of applying analytical techniques to solve real-world problems and working with large, diverse datasets.
• Exceptional ability to dissect complex business problems, identify underlying causes, and develop innovative, data-driven solutions is essential.
• Excellent verbal and written communication skills are necessary, with the ability to effectively convey complex technical concepts and data insights to diverse audiences.
• Demonstrated ability to work effectively and contribute positively within a collaborative team environment is required.
• Meticulous attention to detail and a strong commitment to ensuring data accuracy, quality, and the robustness of analytical outputs is crucial.
• Proficiency in programming languages such as Python (including key libraries like Pandas, NumPy, and Scikit-learn) and/or R is necessary.
• Expert-level proficiency in SQL for efficient querying, extraction, and management of data from relational databases is required.
• A solid foundational understanding and practical application of statistical concepts, including hypothesis testing and regression analysis, are crucial.
• Hands-on experience with various supervised and unsupervised machine learning algorithms is expected.
• Demonstrated experience with data visualization libraries and/or business intelligence tools is necessary.
• Familiarity and practical experience with version control systems, particularly Git, are required.

Benefits:

• Grow in a passionate, rapidly expanding industry operating at the forefront of the Pentesting industry.
• Work directly with experienced senior leaders with ongoing mentorship opportunities.
• Earn competitive compensation and an attractive equity plan.
• Save for the future with a 401(k) program (US).
• Benefit from medical, dental, vision, and life insurance (US).
• Leverage stipends for wellness, work-from-home equipment & wifi, and learning & development.
• Make the most of our flexible, generous paid time off and paid parental leave.