Mentor and guide junior data scientists; serve as technical lead for ML projects.
Streamline agile processes; clarify project definitions; balance tech debt with payoff.
Thrive under pressure; open to new ideas.
Promote data-driven practices across teams in multiple timezones.

🎯 Requirements

12+ years of hands-on data science experience.
Applied ML techniques: NLP, classification, personalization, ranking.
Strong understanding of ML-enabled product lifecycles.
Experience deploying ML models with Athena, SageMaker, Snowflake, Airflow.
Proven ability to coach and grow team members.

🎁 Benefits

Hybrid work with occasional in-office days.
CHOICE Fund to support employee growth and wellbeing.
25 acts of giving program.
Opportunity to contribute to SurveyMonkey's global growth.

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