Description:

Tiger Analytics is seeking a Principal Data Scientist to join their team, focusing on solving complex problems using AI and analytics for Fortune 100 companies.
The role involves leading statistical analysis and machine learning projects from conception to deployment, ensuring alignment with business objectives.
The Principal Data Scientist will develop models and analyses tailored to client needs and provide actionable recommendations based on results.
The position requires articulating and presenting complex data findings clearly to both technical and non-technical stakeholders.
Collaboration with cross-functional teams is essential to leverage data insights and foster a data-driven culture.
The role includes mentoring junior data scientists and providing leadership on best practices in data science methodologies.
Staying updated on industry trends and emerging technologies in data science is crucial to drive innovation and enhance service offerings.
The Principal Data Scientist will manage multiple projects and teams, ensuring timely delivery of high-quality results.

Requirements:

A Master’s or PhD degree in Data Science, Statistics, Computer Science, or a related field is required.
Candidates must have 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, along with data manipulation and visualization libraries, is necessary.
Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is preferred.
A solid understanding of machine learning algorithms and statistical techniques, including regression, classification, clustering, and time-series analysis, is essential.
Strong problem-solving skills with the ability to think critically and determine innovative data-driven solutions are required.
Excellent written and verbal communication skills are necessary to convey complex information clearly.
Demonstrated ability to lead projects and work collaboratively within a team environment is important.
Experience in handling large datasets and using data visualization tools (e.g., Tableau, Power BI) is required.
Experience in the Retail or CPG industry is a plus.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment.
The role comes with a high degree of individual responsibility, allowing for personal and professional growth.