Sr. Data Scientist – Marketing

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Introduction to Marketing Data Science at Mercury

In the mid-19th century, Charles Babbage and Ada Lovelace pioneered the early development of computers with the Analytics Engine, marking the inception of general-purpose computing. In modern times, Mercury continues this legacy, seeking Data Scientists to advance our analytics engine to interpret data and uncover opportunities for optimization.

The Role of a Marketing Data Scientist

At Mercury, a Marketing Data Scientist works with various marketing departments such as Performance, Brand, Product, and Lifecycle Marketing. The goal is to engage with customers globally, requiring full-stack Data Science capabilities and an in-depth understanding of both Data Science and Marketing. Developing the marketing measurement strategy that aligns with company goals is a significant responsibility.

Key Responsibilities

• Partnering with stakeholders to formulate impactful business queries, performing deep-dive analyses, and disseminating findings for informed decision-making.
• Working alongside Data Scientists and Engineers to enhance marketing measurements.
• Collaborating with Finance for LTV and ROI analytics.
• Applying tools like A/B Testing, MMM, and MTA to evaluate marketing performance.
• Creating and implementing machine learning and statistical models for Customer Lifetime Value, Lead Scoring, Segmentation, and forecasting.
• Engaging with multiple company divisions to bring data-driven recommendations to life that boost revenue and benefit entrepreneurs.

Qualifications

Expected qualifications include over 5 years of experience in Marketing Data Science, expertise in SQL and statistical programming languages, familiarity with analytics and ad platforms, and the ability to develop data pipelines and databases. Being highly organized and an excellent communicator is vital, as the role involves managing multiple stakeholders.

Compensation and Hiring Range

Mercury offers a total rewards package with competitive salary, equity options, and benefits. The company ensures fair compensation based on experience, expertise, and location while maintaining internal equity. For this role, the salary ranges are detailed for United States and Canadian employees, with the figures being $203,100 – 238,900 USD and CAD 184,800 – 217,400 respectively.

This job offer was originally published on Jobicy