Data Scientist

3 weeks ago

Sydney, New South Wales, Australia Mediabrands Full time
About the Role

The Data Scientist role is a key position within the Data Science division of Kinesso, a technology-driven performance marketing agency. As a Data Scientist, you will be responsible for providing actionable insights to clients leveraging IPG owned proprietary data assets. Your primary objective will be to transform, optimize, and provide efficiencies within our data platforms to facilitate online and offline marketing effectiveness, enabling clients to optimize their marketing budgets and measure their business performance through data analysis and predictive modeling.

About the Team

The data science team is a group of highly skilled data science professionals offering a diverse and expanding range of data-led offerings to our clients. As a Data Scientist, you will be part of a growing data science practice with the opportunity to contribute to shaping the future of addressable services to our clients. We value innovation, new ideas, and new ways to approach our clients' media and business challenges.

Key Responsibilities
  • Work with one of the largest consumer data sets in AU, acquiring, cleansing, transforming, and verifying data from first, second, and third-party data sources.
  • Interpret data, analyze results, and identify trends using statistical techniques and provide ongoing insights/measurement reports.
  • Manage end-to-end client delivery, involving internal stakeholders, data collection & preparation, quality control, and delivering accurate/timely models & insights.
  • Manage the execution and track all scheduled project tasks, investigating any issues and escalating to the Head of Data Science if deadlines are at risk of delay.
  • Collaborate with specialist teams on data infrastructure and process.
  • Liaise with key internal SBUs/agencies to verify data integrity, model accuracy, and seek input for client presentations.
  • Engage leaders across the business to build a data science profile and identify new business opportunities.
  • Evaluate and refine processes for continued efficiency improvements.
About You
  • 1+ years of proven experience as a data scientist.
  • Experience using statistical programming languages, libraries, or packages for analyzing large datasets (e.g., R, Python, SPSS).
  • Experience with data modeling techniques such as multiple linear regression, classification, segmentation, etc.
  • Experience with ML and AI.
  • Experience with large data sets, specifically web traffic (clickstream) and third-party demographic data.
  • Experience with data interrogation, manipulation, and extraction using SQL/R/Python applied to large databases.
  • Experience visualizing, presenting data, and building dashboards using Tableau is desirable.
About KINESSO

KINESSO is the technology-driven performance marketing agency that sits at the heart of IPG Mediabrands, providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry.

We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at www.KINESSO.com

We value unique backgrounds and experiences to encourage and celebrate diversity. First Nations people, those identifying as LGBTQ+, people of all ages, people with disabilities, and people who are culturally and linguistically diverse are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live. We further acknowledge there are unique barriers for trans & gender-diverse applicants. Please reach out to talentpipeline.sm@mbww.com to discuss any concerns in the recruitment process you may have. Please apply through the 'apply' button - any applications sent to the above email address will not be considered.

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