US Tech Solutions
Marketing Measurement Data Scientist
US Tech Solutions, New York, New York, us, 10261
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 of 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.Media measurement methodologies.SQL and Python.Marketing-specific data science.
Education:BA/BS degree or equivalent practical experience with 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. To know more about US Tech Solutions, please visit
www.ustechsolutions.com .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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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 of 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.Media measurement methodologies.SQL and Python.Marketing-specific data science.
Education:BA/BS degree or equivalent practical experience with 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. To know more about US Tech Solutions, please visit
www.ustechsolutions.com .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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