Medical, Dental, Vision, REMOTEThis Jobot Job is hosted by: Brittany Packard
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $125,000 - $145,000 per year
A bit about us:Our client is a leading digital sports media company delivering in-depth journalism, expert analysis, and comprehensive coverage across professional and collegiate sports. Through award-winning reporting, original storytelling, and a subscription-based digital platform, the organization connects passionate fans with the teams, athletes, and stories that matter most. The company combines high-quality journalism with innovative technology and data-driven insights to enhance reader engagement, personalize content, and support continued subscriber growth.
Why join us?- medical
- dental
- vision
- 401k
- paid leave
- REMOTE
- bonus
Job Details# Data Scientist
**Location:** Remote - United States
**Job Type:** Full-Time
**Salary Range:** $125,000-$145,000 annually
## About the Company
Our client is a leading digital sports media company delivering in-depth journalism, expert analysis, and comprehensive coverage across professional and collegiate sports. Through award-winning reporting, original storytelling, and a subscription-based digital platform, the organization connects passionate fans with the teams, athletes, and stories that matter most. The company combines high-quality journalism with innovative technology and data-driven insights to enhance reader engagement, personalize content, and support continued subscriber growth.
## Position Overview
Our client is seeking a Data Scientist to develop predictive models, generate actionable insights, and improve the digital subscriber experience. This role will focus on machine learning, personalization, subscriber acquisition, and retention analytics. The ideal candidate combines strong technical skills in Python, SQL, and statistical modeling with the ability to translate complex data into practical business recommendations.
You will collaborate with teams across data, product, engineering, and growth to develop scalable data science solutions that support audience engagement and revenue growth.
## Key Responsibilities
- Develop and implement predictive models to identify potential subscribers and improve conversion rates.
- Build recommendation models that deliver personalized and relevant content to readers.
- Analyze user behavior, engagement trends, and subscription data to identify opportunities for growth and retention.
- Design, execute, and evaluate experiments to measure the impact of product changes and business initiatives.
- Build, deploy, and maintain production-ready machine learning models and data science pipelines.
- Use statistical analysis and predictive analytics to support strategic decision-making.
- Partner with product, engineering, data, and marketing teams to translate business challenges into data-driven solutions.
- Communicate analytical findings, model performance, and recommendations to technical and nontechnical stakeholders.
- Monitor model performance and continuously improve the accuracy, scalability, and effectiveness of data science solutions.
## Qualifications
- 2-4 years of experience in data science, advanced analytics, or a related field.
- Strong proficiency in Python, including experience with machine learning libraries and model development.
- Proficiency in SQL and experience working with data warehouses and large datasets.
- Strong foundation in statistics, predictive modeling, and experimental design.
- Experience developing, evaluating, and deploying machine learning models.
- Familiarity with recommendation systems, personalization, or predictive analytics is highly desirable.
- Ability to translate complex analytical findings into clear, actionable business insights.
- Strong problem-solving skills and the ability to work collaboratively across cross-functional teams.
- Excellent written and verbal communication
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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