Job Description :
The candidate must have a passion for this type of marketing-specific data science. This role will be responsible for working with internal and external data sets, tools and vendors, partnering with the campaign analyst to develop methodologies and frameworks, and build data science models and data tables to ensure accuracy when answering business questions around the marketing business.
The candidate will also work closely with the xfn data science and engineering teams on behalf of the Insights & Analytics team.
Responsibilities :
Manage data pipelining, development of data tables, creation of relevant script / code and implementation of dashboards.
Analyse and develop explanatory models and predictive models using appropriate mathematical methods, helping to inform outcomes-based marketing plans
Develop models and tools to enable marketing optimization / selection and measurements - i.e. criteria selection scorecards.
Build relationships with cross-functional partners across client.
Support with framing and translating business questions into appropriate action plans for the team.
Experience :
8 years -Experience developing data science models to understand performance of marketing campaigns
Experience analysing user behaviour and campaign performance across marketing channels.
Adept at using SQL and Python to analyse data and build data pipelines.
Experience developing media measurement methodologies, such as marketing mix models, multi-touch attribution logic, and causal lift studies
Experience with client-side media and marketing data science.
Skills : Data science models
Data science models
Media measurement methodologies
SQL and Python
Marketing-specific data science
Education :
BA / BS degree or equivalent practical experience 8 years of data science and / or data analytics experience
About US Tech Solutions :
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.
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US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.