обновлено 7 дней назад
Product Data Scientist (Data Labs)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Data Scientist (Data Labs) (SQL/PySpark/Python): Building custom reports, analytical tools, and data products from Similarweb’s raw datasets with an accent on quantitative analysis, data mining, and client-focused insights. Focus on developing scalable solutions with Engineering, researching complex business questions, and delivering end-to-end reports for clients.
Location: London, England, United Kingdom; hybrid work
Company
provides digital intelligence data and solutions to more than 5,700 customers worldwide, including Google, Meta, and OpenAI.
What you will do
- Build custom reports end to end, from understanding client needs through coding and setting up ongoing delivery.
- Apply quantitative analysis and data-mining methods to turn raw data into actionable insights.
- Conduct research and develop tools using datasets and algorithms to answer business questions.
- Partner with Engineering to establish infrastructure for scalable solutions.
- Collaborate with Advisory Services consultants to deliver strategic insights and custom data products.
Requirements
- At least two years of experience using SQL or PySpark for data analysis.
- Professional experience with Python scripting.
- Excellent verbal and written English communication skills.
- Experience independently managing complex projects from start to finish.
- Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field.
- Strong analytical, research, business, communication, initiative, and problem-solving skills.
Nice to have
- AWS infrastructure experience.
- Client-facing experience.
- Knowledge of online marketing or online services.
- At least two years of experience in an online or technology company.
- Master’s degree.
Culture & Benefits
- Competitive compensation and employee benefits.
- Open dialogue and support for employee-led ideas and initiatives.
- Career development through Career Week, personalized coaching, and ongoing learning solutions.
- Regular team outings and social events.
- Inclusive workplace focused on equality, mutual respect, and diversity.
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