Data Scientist
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, metro location, mid-level role, and broad ML/AI skillset raise competition.
Role prefers conversational analytics and measurement frameworks, giving moderate industry specificity but transferable ML skills.
Explicit Master's/PhD, 5-7 years, and multiple mandatory ML, statistics, and platform skills indicate high strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement data analytics and machine learning solutions to optimize customer experience and business outcomes within the Digital Experience & Automation team.
Design and maintain advanced dashboards and data visualizations to communicate insights across technical and non-technical stakeholders.
Collaborate cross-functionally including with Data Engineering to build scalable data models, monitor feature adoption, and measure performance over time.
Minimum Requirements
Master's or PhD in business administration, economics, computer science, MIS, or related field, or equivalent experience.
5-7+ years in Data Science, Machine Learning, or Applied Research focused on measurement frameworks or systems.
Proficiency with statistical techniques, advanced analytics, Python programming, machine learning algorithms, and dashboarding tools like Power BI.
Experience with customer support data, conversational AI logs, omnichannel analytics, and platforms such as Snowflake and Databricks preferred.
Ideal Candidate Profile
Experienced in applying complex statistical and machine learning methods to real-world business problems, especially in customer journey and support analytics.
Skilled collaborator who can translate analytical findings into actionable business insights and work effectively with engineering teams to operationalize models.
Comfortable working in a hybrid setting within a fast-paced environment focused on innovation via AI-driven tools and data automation.