Principal Data Scientist

🕒 March 31

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Logo of Tiger Analytics

Tiger Analytics

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Lead statistical analysis and machine learning projects from conception through deployment, ensuring alignment with business objectives. • Develop models and analyses tailored to client needs and make actionable recommendations based on results. • Articulate and present complex data findings in a clear and accessible manner to both technical and non-technical stakeholders. • Collaborate with cross-functional teams to leverage data insights and foster a data-driven culture. • Mentor junior data scientists and provide leadership on best practices in data science methodologies. • Stay updated on industry trends and emerging technologies in data science to drive innovation and enhance service offerings. • Manage multiple projects and teams, ensuring timely delivery of high-quality results.

🎯 Requirements

• Master’s or PhD degree in Data Science, Statistics, Computer Science, or a related field. • 8+ years of experience in data science, analytics, or a related field, with a strong focus on machine learning. • Extensive experience with key programming languages such as Python and R, as well as data manipulation and visualization libraries. • Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is preferred. • Solid understanding of machine learning algorithms and statistical techniques, including regression, classification, clustering, and time-series analysis. • Strong problem-solving skills with the ability to think critically and determine innovative data-driven solutions. • Excellent written and verbal communication skills, with the ability to convey complex information clearly. • Demonstrated ability to lead projects and work collaboratively within a team environment. • Experience in handling large datasets and using data visualization tools (e.g., Tableau, Power BI). • Experience in the Retail or CPG industry is a plus.

🏖️ Benefits

• 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.

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