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Strong Tier-1 brand, broad ML+data+GTM requirements, and popular data scientist title drive high competition.
Strong ML and data engineering transferable, but GTM and sales analytics specificity increases domain sensitivity.
Explicit 8+ years, advanced degree, and mandatory ML, big-data, and ETL technologies create high shortlisting strictness.
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Lead development and deployment of advanced AI and machine learning models to drive GTM strategy and business growth across Cisco and Splunk.
Partner with cross-functional teams and executive stakeholders to solve business challenges through predictive analytics and AI solutions that influence customer acquisition and revenue growth.
Build and optimize scalable data pipelines and promote technical excellence including mentoring junior team members and ensuring responsible AI practices.
8+ years experience in Data Science, Machine Learning, or Advanced Analytics in the technology industry.
Proficiency in Python or R, machine learning frameworks (e.g., TensorFlow), predictive modeling, and advanced SQL with hands-on experience in big data platforms like Snowflake, Hadoop, or Apache Spark.
Experience building and managing scalable ETL processes and data pipelines using tools such as Alteryx or equivalent.
Master's degree or PhD in Data Science, Computer Science, Statistics, Analytics, or related quantitative discipline.
Experienced leader capable of guiding data science projects and mentoring junior team members in a cross-functional and global environment.
Strong strategic partner with GTM, Sales, Marketing, Customer Success, and Operations functions to deliver measurable business impact through AI and analytics.
Strong communication skills with ability to present complex analytics and insights to senior executives and influence strategic decisions.