Data Scientist

Full-time - Mid Level

Denver, CO

About the position

Digital Media Solutions is seeking a Data Scientist to join our Insurance Division and help drive data-driven decision-making in performance marketing. The ideal candidate will have a strong background in data analysis, machine learning, and predictive modeling, with experience in optimizing marketing campaigns, lead scoring, and customer segmentation.

Responsibilities

• Develop machine learning models to optimize marketing spend, conversion rates, and customer acquisition strategies.
• Analyze large datasets from various marketing channels (paid search, social, display, email) to identify patterns and insights.
• Build predictive models for lead scoring, customer segmentation, and lifetime value estimation.
• Design A/B testing frameworks to measure the impact of marketing strategies.
• Collaborate with marketing and engineering teams to implement data-driven solutions in real-time bidding and campaign optimization.
• Create dashboards and reports to visualize key performance indicators (KPIs) and provide actionable insights.
• Stay up to date with the latest trends in data science, machine learning, and digital marketing analytics.

Requirements

• Bachelor’s degree in a technical field such as mathematics, statistics, computer science or a related field.
• 5+ years of professional experience as a data scientist developing predictive models and preferably with experience of deploying those solutions to production environments.
• Proficiency in languages like Python and R, as well as SQL and other relevant languages.
• Strong understanding of statistical concepts and methods.
• Knowledge of various machine learning algorithms and techniques.
• Ability to create clear and informative visualizations to communicate findings.
• Excellent written and verbal communication skills to effectively convey complex information.
• Strong analytical and problem-solving skills to identify and address business challenges.
• Understanding of the business context and how data can be used to drive decision-making.
• Ability to extract valuable information from large datasets.
• Skills in cleaning, transforming, and preparing data for analysis.

Benefits

• Medical, dental and vision insurance
• Wellness and mental health benefits
• Tax-advantaged healthcare accounts
• Financial and income protection benefits (Life insurance, short-term disability, 401(k))
• Paid Time Off (PTO), holidays and sick time off
• Remote worker assistance for wellness and home office