Job Type: Full-Time, Hybrid
Location: Denver, Colorado
Description
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:
- Applications must work in office three days a week.
- 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, SQL and other relevant languages.
- Statistical Analysis: Strong understanding of statistical concepts and methods.
- Machine Learning: Knowledge of various machine learning algorithms and techniques.
- Data Visualization: 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.
Compensation And Benefits: The anticipated annual salary range for individuals interested in this position is $120,000 - $130,000 annually. Actual compensation offered to a candidate may vary based on work experience, education and/or skill levels.
Benefits Available to Eligible Employees Include The Following:
- Medical, dental, vision insurance
- Wellness and mental health benefits
- Tax-advantaged health care accounts
- Financial and income protection benefits (Life insurance, 401(k), short-term disability)
- Paid time off (PTO), holidays and sick time off
- Remote worker assistance for wellness and home office
About DMS
Digital Media Solutions® (DMS) is a leading provider of technology-enabled digital performance advertising solutions connecting consumers and advertisers.
DMS is a growing company that provides team members with opportunities to learn new technologies and enhance their skills. In addition to competitive salaries, reliable work schedules, access to technology, an energetic and connected work culture and an impressive suite of employee health and wellness benefits, DMS also offers employees the chance to further acquire industry knowledge and network with colleagues.
The culture at DMS is built on a foundation of collaboration, support and inclusion. DMS believes in the power of teamwork. DMS is more than just an award-winning company, we are a team that supports one another, challenges each other and celebrates together.
DMS is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon gender, sexual orientation, marital or civil status, pregnancy (or pregnancy-related conditions), gender identity or expression, transgender status or gender reassignment, race, color, national origin or ancestry, citizenship, religion or religious beliefs, age, physical or mental disability, genetic information (including genetic testing and characteristics), military or veteran status, or any other grounds or characteristic that is protected under the law.