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Senior Product Data Scientist

Annual Salary Negotiable

Professionals - Database and Systems Administrators, and ICT Security Specialists

NSW - Sydney (Post code: 2000)

Recruiting numbers: 1

Expiration date: 29-Mar-2023

Full Time
01-Mar-2023 update visited:
Job requirements

Educational requirements: Bachelor

English requirements: Competent English

Requirements for skilled employment experience for years: 1-3 years

Required residence status: Temporary visa, Permanent resident, Citizen

Accept remote work: unacceptable

As a senior Product Data Scientist you will be supporting the organisation through data driven insights. You will work closely within the data team to support and deliver immense value to the business. Your role contributes to the development and execution of hipages commercial strategy. You will be influential in supporting the hipages marketplace as we continue to evolve and apply your experience to find the best experience for our customers. Benefits Competitive salary, benefits and perks, plus equity via our Employee Share Program Work from home with a 50/50 hybrid working model In-house Talent Development team to support your personal career growth and plan for your promotion! See real time impact of your work in collaborative cross-functional teams Thrive in a data-driven culture with two-way support and respect How you will add value Develop a framework to present insights to the business and advise on potential enhancements to the product. Analysing data, trends, and results, as well as translating into business impact for stakeholders. Collaborate with cross-functional teams to create data-driven decisions. Support the teams with data to help inform use-cases and requirements. Contribute to growing our user base by supporting segmentation strategies to build a customised consumer experience. Facilitate, orchestrate and measure the effectiveness of feature experiments. About you Tertiary degree qualified, ideally in areas of Business Analytics and Management, Statistics, Data Science, Economics, Actuarial Studies, or related field or relevant experience Data analytics experience for an e-commerce or technology company Experience working with enterprise data warehouses Strong working knowledge of BI tools (I.e. Looker, Tableau, PowerBI, etc) Strong Excel skills Advanced level of SQL or equivalent Intermediate programming language experience in R or Python Passionate about all things data, and ability to digest complex data and storytelling Organise data findings and synthesise them with business results to form high-level business recommendations Communication skills with effective stakeholder management & conflict resolution skills
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Last online time: 19-Jan-2024 11:28
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