Data Scientist

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 this role, you will leverage your expertise in data science to design and implement advanced analytical models that meet the needs of our diverse client base. You'll work closely with cross-functional teams to identify key business challenges and develop tailored data-driven solutions. Your efforts will directly contribute to our mission of empowering clients with data insights that enable informed decision-making.

Key Responsibilities

• 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.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 3+ years of experience in data science or a related analytical role.
• Strong proficiency in programming languages such as Python, R, or similar.
• Solid foundation in statistical analysis, data mining, and machine learning techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively.
• Familiarity with SQL and experience querying databases.
• Excellent problem-solving skills and ability to translate business requirements into analytical solutions.
• Strong communication skills, both written and verbal, with an ability to convey complex concepts to non-technical stakeholders.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.