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Job Type
Full Time -
Experience
2-4 year -
Salary
$70,000 - $170,000 / Year -
Location
Sydney NSW, Australia -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, Framework, SQL, TensorFlow, R Programming, SAS, SPSS Statistics
Job Description
Minimum qualifications:
- Master’s degree in Statistics, Mathematics, Economics, Engineering, applied science or equivalent practical experience.
- 5 years of relevant work experience in data science and marketing analytics, statistical modeling, machine learning, forecasting, or optimization.
- Experience in programming in Python and/or R, SQL, SAS, SPSS.
Preferred qualifications:
- PhD in Statistics, Computer Science, Engineering, or Mathematics.
- Experience delivering analytics to stakeholders (e.g., problem scoping, modeling, interpretation, presentation).
- Experience with software tools and languages such as SQL, R, TensorFlow, Python, SAS, SPLUS, Eviews and an understanding of the statistical algorithms used in Marketing Analytics.
- Ability to conceptualize, design and build statistical models that describe real world events both current and into the future (i.e. predictive models) models.
About the job
gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.
gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities. As a Data Scientist, you will partner closely with our clients to produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness, return on investment and prediction. We work with Sales, Product and Engineering teams within Google to design better tools and services to improve our products based on the evolving needs of our users.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
Responsibilities
- Lead analytics aspects of client engagements in the area of marketing effectiveness and marketing portfolio management.
- Collaborate with clients to build an end to end machine learning framework. Engage various stakeholders, assess data readiness. Be able to scale a proof of concept to a larger solution.
- Work with client and internal teams to translate data and model results into tactical and strategic insights that are clear, complete, accurate, relevant, understandable and applicable to decision making and needs for varying client audiences. Co-present to and work with clients to integrate recommendations into business processes.
- Collaborate with Product and Engineering teams to increase and optimize capabilities, employing methods which create opportunities for scale, proactively helping to drive innovation.
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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Google is currently hiring Data Scientist, Marketing Analytics Jobs in Sydney NSW, Australia with average base salary of $70,000 - $170,000 / Year.
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6-8 year
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8-10 year
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4-6 year
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10-12 year
AI/ML Field Solutions Architect
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GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
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4-6 year
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0-2 year
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4-6 year
Sales Engineer, Machine Learning, Google Cloud
GoogleAtlanta, GA, USA; New York, NY, USA; Salt Lake City, UT, USA; San Diego, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Tennessee, USA
0-2 year
Senior Staff Data Scientist
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Diego, CA, USA; Sunnyvale, CA, USA
12-14 year
Software Engineer III, Computer Vision/Infrastructure, AR
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; United States
0-2 year
Data Scientist, Ads Marketing Analytics
GoogleChicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Cloud Engineer, AI/ML
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Technical Program Manager III, Generative AI, Search
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Sunnyvale, CA, USA
6-8 year
Data Analytics Apprenticeship, March or June 2024 Start
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Open Source Lead, Staff Software Engineer, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA
6-8 year
Research Scientist, Machine Learning, Computational Photography
GoogleHaifa, Israel; Tel Aviv, Israel
4-6 year
Machine Learning Software Engineer, Silicon
GoogleMountain View, CA, USA; San Diego, CA, USA
12-14 year
Product Manager, AI Imagery, Google Research
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
4-6 year
Group Product Manager, AI/ML, Qwiklabs, Google Cloud
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
10-12 year
Business Data Scientist, Natural Language Specialist
GoogleMountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Business Data Scientist, Ads Marketing Analytics
GoogleMountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year