Karkidi
Senior Data Scientist - Graph
Karkidi, Santa Clara, California, us, 95053
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are looking for a Senior Data Scientist with a good blend of data analytics background, who holds practical experience in Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.) and has strong coding capabilities to add to our team.
Key Responsibilities:
Work on the latest applications of data science to solve business problems in AI and analytics. Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights. Collaborate with cross-functional teams including understanding business requirements and translating them into data-driven solutions. Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. Stay abreast of industry trends and best practices in data science and leverage this knowledge to drive innovation within the organization. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Requirements:
Proven experience of 7+ years working as a Data Scientist, with a focus on Graphs/ Graph Analytics. Bachelor’s or Master’s degree in Computer Science, Statistics, applied mathematics or related fields. Solid understanding of statistical methods, optimization techniques, and predictive modeling. Knowledge and working experience with NLP techniques and semantic similarity algorithms is preferred. Knowledge of and practical working experience on Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.). Knowledge of Graph databases like Neo4j, Tiger Graph, Blaze Graph, etc. would be preferred. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. Bias for action, with the ability to deliver outstanding results through task prioritization and time management. 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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Work on the latest applications of data science to solve business problems in AI and analytics. Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights. Collaborate with cross-functional teams including understanding business requirements and translating them into data-driven solutions. Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. Stay abreast of industry trends and best practices in data science and leverage this knowledge to drive innovation within the organization. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Requirements:
Proven experience of 7+ years working as a Data Scientist, with a focus on Graphs/ Graph Analytics. Bachelor’s or Master’s degree in Computer Science, Statistics, applied mathematics or related fields. Solid understanding of statistical methods, optimization techniques, and predictive modeling. Knowledge and working experience with NLP techniques and semantic similarity algorithms is preferred. Knowledge of and practical working experience on Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.). Knowledge of Graph databases like Neo4j, Tiger Graph, Blaze Graph, etc. would be preferred. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. Bias for action, with the ability to deliver outstanding results through task prioritization and time management. 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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