Product / Commercial Data Scientist
Навыки
- A/B-тесты
- Решения на данных
- iGaming / betting
- Snowflake
- SOLID и паттерны
- SQL
- Статистика
Ещё 1
- Tableau
О компании и продукте
- We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
- Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
- Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
- At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Задачи
- Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions
- Partner Across the Business
- Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions
- Tackle Ambiguity
- Translate business questions into sharp analytical problems, bringing structure to fast-moving projects
Требования
- 2–4 years of relevant experience in analytics and/or product data science roles, ideally in product or commercial domains, with a track record of turning analysis into clear recommendations
- SQL fluency (Snowflake) as a non-negotiable foundation, with a solid grounding in statistical/experimental methods and comfort with storytelling with data various using tools (Tableau)
- Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy
- Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field — or equivalent work experience
- Skills & mindset
- The ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making
- Good commercial and product instincts: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself
- A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle
- Comfortable framing and running well-defined analyses independently, whilst knowing when to bring a manager or senior data scientist in on more ambiguous or cross-functional questions
- Why join us?
- High impact: your datasets will be used daily by teams making product decisions, running experiments, and driving performance
- Real scale, real problems: handle serious data volumes — millions of events per day, multiple sources, and zero fluff
- Freedom to shape: influence our data architecture, tooling, and best practices — not just implementing, but building
Условия
- Medical / Health Insurance
- Open Annual Leave
- Employee Assistance Programme
- Training & Learning Development
- Competitive compensation & performance-based bonuses
- Wellness perks & team social budget
- Additional benefits vary by country and will be shared during the hiring process
Паспорт вакансии
История публикации
Появилась в Вакандии27 дней
Перепубликации2 разапубликаций всего: 3
Проверяли на источникеВидели сегодня
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыне указан
ГеографияРумыния
Зарплата≈ 16 225 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки753 из 4 полей: грейд, формат, география, зарплата
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Проверка Вакандии
Источники и свежесть
- Тип источника
- Карьерный сайт работодателя
- Найдено публикаций
- 3
Посмотреть публикации и даты
- greenhouseПовторная публикация · 2026-07-31
- greenhouseОсновная публикация · 2026-07-31
- greenhouseПовторная публикация · 2026-07-31
Безопасность
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Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.eu.greenhouse.io.
Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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