Marketing Data Scientist

We are looking for a Marketing Data Scientist to synchronize our data intelligence with our strategic vision. You will play a pivotal role in refining our decision-making through advanced predictive analytics and  translating complex insights into a roadmap for growth. Your work will ensure we are not reacting to the market, but proactively shaping customer engagement through the power of data science.

• Liaise with the data warehousing team to define and activate data set requirements.
• Collaborate with data engineers to automate data collection and cleaning from various sources, including new ones.
• Identify and correct data irregularities.
• Synthesize disparate data sets to focus on predictive insights and repeatable success.
• Build and deploy predictive models to inform growth strategies.
• Apply machine learning models to anticipate consumer behavior.
• Inform Marketing Mix Models (MMM) to reallocate budget for higher ROI.
• Influence change across the organization by translating complex model outputs into 'business-speak'.

• Strong business acumen with the ability to connect analytical findings to strategic marketing and financial objectives.
• Proven ability to influence executive and cross-functional stakeholders to drive data-led change.
• Exceptional leadership and communication skills.
• A creative and rigorous approach to problem-solving, capable of navigating and integrating complex, multi-source data environments.
• A proven self-starter capable of thriving in a fast-paced environment and independently developing innovative approaches when faced with ambiguous data or technical challenges.

Required:

• Proven experience in building, deploying, and monitoring predictive models to inform growth strategies and revenue optimization.
• Deep expertise in using machine learning techniques to anticipate and model complex consumer behavior and journey analysis.
• Familiarity with informing and leveraging Marketing Mix Models (MMM) to reallocate marketing budgets for higher ROI
• Advanced proficiency in data manipulation and modeling languages (e.g., Python, R, SQL).
• Proficiency with data visualization tools (Tableau, Power BI or similar)
• Min 5+ years of related experience

Experience we consider a plus:

• Experience in a B2B setting
• Experience with customer lifetime value modeling
• Working knowledge of digital marketing platforms and their underlying data structures
• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, or Economics.

• Company Bonus or Commission Structure (depending on the role)
• Medical, Dental, and Vision Coverage Options
• 401(k) Savings Plan
• Company-Paid Basic Life and AD&D Insurance
• Short-Term Disability (STD)
• Long-Term Disability (LTD)
• Maternity/Parental Leave
• Flexible Spending Accounts (FSA)
• Health Savings Account (HSA)
• Employee Support Program (EAP)
• Voluntary Supplemental Insurance
• Lifestyle Benefits
• Volunteer Time Off (VTO)
• Tuition Reimbursement - available for select positions; full details will be shared during the interview process

Disclaimer: The posted range represents the good faith salary for this role at the time of posting. Final compensation is determined by factors including (but not limited to) geographic location, relevant experience, specific skill sets, and internal equity.