Senior Data Scientist
hace 2 meses
Senior Data Scientist - Customer Support Insights At Preply, we are unlocking human potential through learning.
We believe learning with a great tutor is life-changing.
That's why we match online tutors from across the globe with learners and empower them to create live language classes with AI-powered tools and learning materials.
This is how we deliver progress, create engagement and keep our global community of learners motivated.
Meet the team
At Preply, we are constantly running hundreds of AB tests, each with specific tracking and analytic requirements.
This, along with the wide scope of our product and the sophistication of the tutor/learner interactions, makes for some rewarding challenges.
Our Data Team is dedicated to empowering top-quality decision-making.
We closely collaborate with product and experimentation teams to deliver insights that optimize the tutor and learner experience.
What you'll be doing: Master the dynamics of tutors/learners interaction and the economics of Preply's marketplace; Own Customer Support data end-to-end, from analyzing the impact of refund policies and making recommendations, to measuring the impact of our resolution time, agents performance, agents forecasting, contact rate, etc.
Partner with the Customer Support team leads to develop and refine the Customer Support function within the learners/tutors journey; Identify growth opportunities and help prioritize our roadmap; Produce thorough data analytics of customer behavior and usage, effectively communicating them to technical and non-technical audiences; Contribute to the development of analytics libraries and frameworks; Collaborate with the Data Strategy team to define standards and best practices as well as sharing knowledge and capabilities across the team; Build relationships and collaborate with other data and/or technical leaders; Work with the Data Engineering team to model data in our Data Warehouse and productionize your data pipelines, including third party tools integrations; Work closely with our BI experts to develop effective data visualizations, reports and dashboards.
What you need to succeed: Experience as a Data Scientist (5+ years' experience); Previous experience in Customer Support data teams in Marketplaces and/or digital businesses (B2B, B2C, B2B2C); Good and broad understanding of data analysis concepts such as (but not limited to) conversion, LTV, cohort analysis, retention, etc.
; A curious mindset, with a focus on problem-solving and problem finding skills; Creative mindset and proactive attitude towards the creation and evaluation of new hypotheses; Knowledge of quantitative fields (statistics, mathematics, etc.
); High level of self-organization, ownership, and responsibility; Good written and verbal communication skills, with C1 level of English.
Nice to have: Experience with A/B testing frameworks; Knowledge of Looker, Amplitude, Databricks or other BI tools; Knowledge of coordination tools (Airflow, Luigi, Jenkins, etc.
); Knowledge of version controlling tools (GitHub, GitLab, etc.).
Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona?
We offer an attractive relocation package to join us in our Preply Barcelona Hub; Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting).
Diversity, Equity, and Inclusion Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive.
Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.
Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
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