Marketing Data Scientist I
Arthrex GmbH, Naples, FL, United States
Arthrex - US, RemoteNaples, FL, US, 34108
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. 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.
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 Time Off
Employee Assistance Provider (EAP)
EEO Statement
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.
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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. 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.
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 Time Off
Employee Assistance Provider (EAP)
EEO Statement
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.
#J-18808-Ljbffr