Marketing Data Scientist I

Arthrex, Inc. is a global medical device company and a leader in new product development and medical education. We are a privately held company that strives to accomplish our corporate mission of Helping Surgeons Treat Their Patients Better . We are committed to delivering uncompromising quality to the health care professionals who use our products, and ultimately, the millions of patients whose lives we impact.

Arthrex 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 Lunch
Tuition Reimbursement Program
Trip of a Lifetime
Paid Parental Leave
Paid Time Off
Volunteer PTO
Employee Assistance Provider (EAP)

Please note, most benefits are for regular, full time employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other status protected by law.

Main Objective:
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.

Essential Duties and Responsibilities:
* 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


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

Problem Solving:
Solve routine problems of limited scope and complexity following established policies and procedures.

Discretion/Latitude:
Work is closely supervised. Follow specific, detailed instructions.

Education/Experience:
Bachelor s degree preferred. In the absence of a degree, applicants will be considered with a High school diploma or equivalent and 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.)
Specialized Skills:
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.