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Data Scientist

Оценка ИИ

Отличная вакансия в известной финтех-компании с сильной инженерной культурой и современным стеком (Snowflake, Databricks). Предлагается расширенный социальный пакет, включая бонусы на велнес и дополнительный отпуск, а также гибридный формат работы.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует уверенного владения Python и SQL, а также опыта работы с реальными бизнес-задачами от 2 до 5 лет. Сложность заключается в необходимости не только строить модели, но и внедрять их в продакшн, взаимодействуя с кросс-функциональными командами.

Анализ зарплаты

Медиана95 000 $
Рынок80 000 $ – 110 000 $
Оценка ИИ

Зарплата в объявлении не указана, но для уровня Middle Data Scientist в Сиднее рыночный диапазон составляет 120-160 тысяч австралийских долларов. Предложение Zip, вероятно, находится в этих пределах, учитывая статус публичной компании (ASX: ZIP).

Сопроводительное письмо

I am writing to express my strong interest in the Data Scientist position at Zip. With over three years of experience in developing and deploying machine learning models within commercial settings, I have a proven track record of translating complex datasets into actionable business insights. My background in Python and SQL, combined with hands-on experience in building end-to-end ML pipelines, aligns perfectly with the goals of your Data & AI Squad.

In my previous roles, I have successfully collaborated with product and marketing teams to optimize customer engagement through predictive modeling and A/B testing. I am particularly excited about Zip's commitment to leveraging emerging AI techniques like LLMs to enhance the customer experience. I am eager to bring my analytical mindset and technical expertise to a values-driven company that is truly changing the game in the digital financial services industry.

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Присоединяйтесь к команде Zip и создавайте инновационные AI-решения для миллионов пользователей уже сегодня!

Описание вакансии

Data Scientist

  • Hands on experience delivering end to end data science solutions within a commercial setting
  • Build and deploy machine learning and AI solutions that directly shape how millions of customers experience Zip
  • Hybrid working with team connect days in our Sydney office

Write your story with a career at Zip

A role in Zip’s Data & AI Squad will see you partner with key stakeholders to supply fast, reliable and future proof data, powering data driven decision making on our biggest and most interesting business challenges.

You’ll develop advanced data science and AI solutions, leveraging machine learning and sophisticated statistical techniques, along with the latest AI technologies. Your goal will be to collaborate closely with cross functional teams to optimise various processes, enhancing operational efficiency and improving the experience for millions of customers.

As a Data Scientist in our Customer Data Science team, you will take ownership of building and delivering impactful models and insights that influence product, marketing and strategic decisions across the business.

What You'll Own

  • Developing and deploying machine learning models that improve customer engagement and optimise business processes
  • Analysing large and complex datasets to uncover actionable insights that drive decision making
  • Designing and running data driven experiments to test hypotheses and continuously improve performance
  • Collaborating with Product and Marketing teams to translate business challenges into scalable data science solutions
  • Communicating insights and recommendations through clear storytelling, visualisations and stakeholder engagement
  • Exploring and applying emerging AI techniques, including LLMs, to drive innovation across the customer experience

What you'll bring to the team

  • Experience working as a Data Scientist or in a similar role, with around 2 to 5 years of relevant experience
  • Strong programming capability in Python, with experience using libraries such as Pandas, NumPy or scikit learn
  • Solid grounding in statistical analysis and machine learning techniques, including model development and evaluation
  • Experience working with large datasets and writing efficient SQL queries
  • Exposure to modern data platforms such as Snowflake, Databricks or dbt is desirable
  • Ability to translate complex data into meaningful insights for both technical and non technical audiences
  • Strong problem solving skills, with a curious and analytical mindset
  • Collaborative approach, with experience working cross functionally, ideally with Product or Marketing teams
  • A mindset that embraces AI and new tools to adapt, learn and grow.
  • An aptitude for identifying and managing risks. Whether you are a People Manager or an Individual Contributor, we are all leaders at Zip, therefore effective risk management is important to how we run our business and part of all our roles.
  • Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game

What you’ll get in return

As we write this next exciting chapter in our story, we will continue to move at pace and embrace change. For you, this might mean opportunities to learn new skills with hands-on experience, broader responsibilities, or the buzz of seeing your work impact customers faster.

Zip is a place where you’ll get out exactly what you put in. When you join the team, we'll do our best to make sure you can be yourself and surround yourself with smart, friendly colleagues and leaders who have your back, so that you can make the big things happen.

Zipsters tell us these are just some of the best things about working here. You’ll also receive:

  • 25 days paid leave annually, including birthday leave and quarterly wellbeing days
  • 16 weeks paid parental leave for primary carers, and 4 weeks for supporting carers
  • Family support policies including miscarriage bereavement leave and domestic violence leave
  • Mental health and wellness initiatives, including $299 annual wellbeing allowance, free access for you and family members to our EAP service Sonder, discounted private health insurance, and great rates on fitness sessions through ClassPass
  • 2 days paid volunteering leave per year
  • Access to the Flare Benefits Hub and Novated Leasing for savings across lifestyle, essentials and wellbeing
  • Fee-free Zip products, and discounts with Zip merchant partners
  • Team social events, epic offices, free breakfast daily, and weekly free lunches

Be a part of a team that reflects the diversity of our customers

We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique.

Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience.

And finally…get to know us

Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.

Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants.

We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.

#LI-Hybrid

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Навыки

  • Python
  • NumPy
  • Pandas
  • Machine Learning
  • LLM
  • SQL
  • dbt
  • Scikit-learn
  • Snowflake
  • Databricks
  • Statistical Analysis

Возможные вопросы на собеседовании

Проверка практического опыта работы с полным циклом разработки моделей.

Расскажите о самом сложном ML-проекте, который вы реализовали от идеи до деплоя: с какими трудностями вы столкнулись?

Оценка навыков работы с данными и SQL в контексте больших систем.

Как вы подходите к оптимизации SQL-запросов при работе с очень большими наборами данных в таких платформах, как Snowflake или Databricks?

Проверка умения связывать технические метрики с бизнес-результатами.

Как вы определяете успех модели машинного обучения с точки зрения бизнеса, например, для маркетинговой кампании?

Оценка интереса к современным технологиям, упомянутым в вакансии.

Есть ли у вас опыт работы с LLM или генеративным AI, и как, по вашему мнению, эти технологии могут улучшить клиентский опыт в Zip?

Проверка навыков коммуникации и работы в команде.

Опишите случай, когда вам нужно было объяснить сложную техническую концепцию нетехническому стейкхолдеру. Каков был результат?

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