Sr. Data Scientist (Medium Mix Modeling)

Insight Global; Tempe (AZ); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading consulting firm is seeking a Sr. Data Scientist in Tempe, AZ to collaborate with marketing teams on campaign data analysis and model development. The ideal candidate will have over 5 years of experience in marketing data analysis, proficiency in Python and SQL, and skills in developing insights through Power BI. This is an onsite role requiring strong communication skills and experience in a retail environment.

Qualifications

• Must have 5+ years of experience as a Data Scientist with a focus on Marketing Data.
• Experience with building data pipelines and querying in Databricks.
• Outstanding verbal and written communication skills.

Responsibilities

• Develop and maintain predictive models for marketing budgets and ROI analysis.
• Create Power BI dashboards for campaign performance visualization.
• Conduct channel effectiveness analysis to determine impact of marketing strategies.

Skills

Python

SQL

Power BI

Databricks

Marketing Mix Modeling

Data Cleaning

Data Transformation

Exploratory Analysis

Tools

Delta Lakes

Job description

Overview

Our client is looking for a Sr. Data Scientist to join their team in Tempe, AZ or Charlotte, NC. As the Sr. Data Scientist, you will collaborate with North America Marketing teams to support various campaign types (e.g., TV, radio, print, digital media, etc.) to collect and integrate data from external vendors, internal partners, and campaign platforms to build a unified view of marketing performance.

Responsibilities

• Develop and maintain predictive models to analyze budget allocation across channels, conversion rates and ROI, and revenue and traffic lift by campaign type and business unit.
• Conduct channel effectiveness analysis to identify which marketing channels drive the highest impact.
• Perform data cleaning, transformation, and exploratory analysis using tools like Databricks, PySpark, and SQL.
• Store and manage campaign datasets in Delta Lakes for easy access and long-term analysis.
• Create and deliver Power BI dashboards to visualize campaign performance, KPIs, and insights for leadership and stakeholders.
• Partner with marketing teams to share insights, recommend optimizations, and support strategic decision-making.
• Develop communication mediums (dashboards, reports, presentations) to translate complex analytics into actionable business insights.
• Ensure compliance with data privacy regulations (e.g., GDPR) when handling customer and campaign data.

Qualifications

• Must be comfortable working onsite 5 days per week.
• 5+ years of experience as a Data Scientist, specifically working on Marketing Data.
• 5+ years of experience with Python for data modeling.
• Experience with Marketing Mix Modeling to evaluate effectiveness of different marketing channels.
• Fantastic verbal and writing communication skills; experience supporting a Global organization.
• Experience working with SQL.
• Experience working with Databricks, specifically building pipelines, querying and processing tables.
• Experience with Power BI, specifically to build joins and aggregated files.
• Experience working in a retail environment.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].