Marketing Data Scientist

Summary:

The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist’s insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position.

Duties and Responsibilities:

• Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data.
• Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies.
• Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI.
• Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts.
• Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization.
• Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies.
• Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes.
• Validate impact of Marketing Campaigns through experiments and causal analysis.

Required Skills and Abilities:

• Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail.
•  Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. 
• Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders.
• Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. 
• Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning.
• Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach.
• Proficient with company-based systems, Microsoft Windows and Office Suite applications.

Educational Requirements and Experience:

• Master's Degree (or equivalent level preferred) in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing.
• Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar).
• Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL).
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with creating data analysis plans and executing A/B testing methodologies.

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift to 15 pounds at times.