Senior Data Scientist - Go-To-Market (GTM)

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Requirements:

• Experience in GTM Analytics or similar role, with a proven track record in analyzing and optimizing sales and marketing strategies, preferably in a SaaS environment.
• Expertise in translating complex data into insights that are actionable for cross-functional teams.
• Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
• Experience in building and maintaining reliable analytics infrastructures.
• Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
• Experience with 0 to 1 product initiatives is a plus, though not required.
• A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.
• Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
• Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
• Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
• Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
• Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.

Responsibilities:

• Analyze GTM Performance and evaluate the effectiveness of various sales and marketing channels, campaigns, and initiatives to identify key drivers of customer acquisition and retention.
• Create models to forecast sales trends, customer lifetime value, and churn, enabling proactive adjustments to GTM strategies.
• Develop and utilize clustering and segmentation techniques to identify distinct customer groups, tailoring GTM strategies to each segment.
• Work closely with Sales, Marketing, Finance, and Product teams to provide data-driven recommendations that enhance lead generation, conversion rates, and overall revenue.
• Analyze pricing strategies and product offerings to determine optimal configurations that maximize market penetration and profitability.
• Design and implement experiments to test the impact of different GTM tactics, ensuring continuous improvement and learning.
• Develop and maintain dashboards that track key GTM metrics, providing transparency and actionable insights to stakeholders.