Sr. Data Scientist – Marketing
| Company | Mercury |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA, Portland, OR, USA |
| Salary | $203100 – $286700 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior |
Requirements
- Master’s degree or foreign equivalent degree in Computer Science, Computer Engineering, Information Systems, or a related field
- Five years of experience working as a Senior Data Scientist, Data Scientist, Business Intel Engineer, Business Associate, or a related occupation
Responsibilities
- Analyze large and complex data sets using advanced statistical methods and machine learning techniques to uncover actionable insights to guide business strategies.
- Employ range of technology tools and programming languages, including SQL for data extraction and manipulation, Python and R for data analysis and model building, and platforms, including Snowflake, fivetran and DBT for data warehousing and transformation.
- Utilize tools such as Metabase, to create compelling visualizations and dashboards, enabling stakeholders to understand the data and make informed decisions quickly.
- Work closely with the marketing team to conduct in-depth, complex analyses and answer critical business questions, delivering insights that will provide informed decisions on customer acquisition, engagement, and retention.
- Build and deploy machine learning models to predict customer behavior, optimize marketing campaigns, and improve product offerings, enhancing the overall customer experience and driving growth.
- Collaborate with cross-functional teams, including product, finance, and engineering, to ensure that data insights are integrated across the organization, driving coherent and coordinated action.
- Lead the design and analysis of A/B tests and other experimental frameworks and provide insights that guide the development and optimization of marketing strategies and product feature.
- Develop and apply marketing measurement capabilities such as Marketing Mix Modeling (MMM), and Multi-touch Attribution (MTA) to evaluate the performance of our marketing efforts.
- Ensure data accuracy and integrity, while establishing and enforcing data governance practices, maintaining the reliability of our data-driven insights.
- Provide tactical support in terms of day-to-day analytics, and also play a strategic role in shaping the direction of the team and the company, leveraging data to identify growth opportunities and drive innovation.
Preferred Qualifications
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No preferred qualifications provided.