Data Scientist - Remote

Overview

Tiger Analytics is seeking passionate and talented Data Scientists to join our innovative team at the forefront of analytics and machine learning. As a trusted analytics partner for various Fortune 500 companies, we specialize in turning data into actionable insights that drive business success. Our growing reputation has been recognized by top market research firms, including Forrester and Gartner. If you are eager to contribute to meaningful projects and collaborate with experts in the field, we invite you to explore this opportunity.

In Short

• Collaborate with cross-functional teams to understand business objectives and define the analytics approach.
• Design and develop robust predictive models and analytics solutions using statistical methods and machine learning techniques.
• Analyze complex data sets to extract meaningful insights and provide actionable recommendations to clients.
• Create visualizations and reports to effectively communicate findings and facilitate data-driven decision-making.
• Continuously monitor and refine models to improve accuracy and relevance based on changing business needs.
• Stay current with the latest trends and advancements in data science, machine learning, and AI technologies.
• Contribute to a collaborative team environment by sharing knowledge, best practices, and insights with colleagues.

Requirements

• Strong background in data science and machine learning.
• Experience with statistical analysis and predictive modeling.
• Proficiency in programming languages such as Python or R.
• Ability to create effective data visualizations.
• Excellent problem-solving skills and analytical thinking.
• Strong communication skills to present findings to stakeholders.
• Ability to work collaboratively in a team environment.

Benefits

• Opportunity to work on innovative projects with leading companies.
• Collaborative and supportive team environment.
• Access to the latest tools and technologies in data science.
• Professional development opportunities.
• Competitive salary and benefits package.