[Hiring] Marketing Data Scientist I @Arthrex

Role Description

The Marketing Data Scientist works with Marketing Operations, Data & Analytics Center of Excellence, Product Management, and other stakeholders to enable data-driven marketing by leveraging analytics, predictive modeling, and data visualization to uncover customer insights, optimize campaign performance, and guide strategic decision-making across the organization.

• Collect, integrate, and clean marketing data from multiple sources (CRM, web analytics, social media, email, etc.)
• Ensure data quality, consistency, and usability for analysis
• Conduct exploratory data analysis and assist in simple model development
• Analyze campaign, customer, and channel data to uncover patterns, trends, and anomalies
• Translate raw data into meaningful insights that inform marketing tactics and strategy
• Build, validate, and apply statistical or machine learning models for audience segmentation, lead scoring, predicting traffic patterns and user demand
• Evaluate marketing effectiveness using attribution models, A/B tests, and key performance indicators (KPIs)
• Create dashboards, reports, and presentations to communicate findings in a clear and actionable way
• Partner with internal marketing teams, sales, finance, and data engineering teams to align marketing analytics work with business goals
• Leverage modern tools and platforms such as Python, SQL, Databricks, Tableau/Power BI
• Adhere to data privacy regulations (e.g., GDPR, CCPA) and organizational standards for ethical data use
• Contribute to data stewardship and governance for marketing data assets
• Stay updated with industry trends, tools, and best practices in data analytics, digital marketing, and data warehousing
• Continuously expand skillset in data analysis, statistical modeling, and data visualization
• Collaborate with marketing teams, IT, and other departments to gather data requirements and share insights
• Clearly communicate findings and recommendations to both technical and non-technical stakeholders
• Occasional travel for training, meetings, or trade shows may be required

Qualifications

• Understands digital campaigns, customer data, and KPIs
• Familiar with Databricks, SQL, Python, and marketing databases
• Shares insights via dashboards, reports, and Databricks visualizations

Requirements

• Bachelor’s degree preferred; in absence of a degree, a High school diploma or equivalent with 1–2 years of demonstrated experience in data analytics and exposure to machine learning concepts, plus completion of industry-recognized certifications (PowerBI, Google Analytics, AI, etc.) will be considered
• Strong communication (written and oral) and presentation skills
• Business/Customer service orientation
• Knowledge in Python and SQL is required
• Experience with Power BI, Tableau, or Databricks visualizations is preferred

Benefits

• Medical, Dental and Vision Insurance
• Company-Provided Life Insurance
• Voluntary Life Insurance
• Flexible Spending Account (FSA)
• Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness)
• Matching 401(k) Retirement Plan
• Annual Bonus
• Wellness Incentive Program
• Free Onsite Medical Clinics
• Free Onsite Lunch
• Tuition Reimbursement Program
• Trip of a Lifetime
• Paid Parental Leave
• Paid Time Off
• Volunteer PTO
• Employee Assistance Provider (EAP)