iHeartRadio
Learn more about the general tasks related to this opportunity below, as well as required skills.
If you’re excited about this role but don’t feel your experience aligns perfectly with the job description, we encourage you to apply anyway.
At iHeartMedia we are dedicated to building a diverse, inclusive, and authentic workplace and are looking for teammates passionate about what we do!
What We Need :
iHeart is seeking a Data Scientist to partner with our Marketing teams to accelerate growth of the iHeartRadio app. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross-functional peers to help leverage data throughout the organization.
The preferred candidate should demonstrate a solid history of executing analytical projects and closely collaborating with business counterparts to inform decision-making.
What You'll Do :
- Help define and execute projects geared towards user acquisition, engagement, and retention growth.
- Develop and maintain datasets, KPIs, and reporting tools for the entire Marketing organization.
- Develop and evaluate machine learning models to extract insights from data, make predictions, and generate recommendations.
- Perform impact analysis and modeling for a variety of different marketing initiatives and projects.
- Build dashboards and visualizations to communicate your findings to technical and non-technical audiences.
- Build and maintain data pipelines to collect, clean, and prepare data for machine learning models.
- Bring a strong desire to learn in a fast-paced environment while collaborating with business stakeholders and technical leads.
What You'll Need :
- Bachelor’s degree or higher in Computer Science, Statistics, or related fields.
- 5+ years of work experience in data analytics / science or relevant domains.
- Demonstrated ability to think critically, objectively, and rationally.
- Proficient in reasoning and communicating in a result-oriented, data-driven manner.
- High level of autonomy.
- Experience in Growth Marketing, Attribution Systems, and Customer Lifetime Value (LTV).
- Familiarity with modern machine learning, simulation, and optimization techniques.
What You'll Bring :
- Respect for others and a strong belief that others should do this in return.
- Expertise with various technical disciplines and applications.
- Close attention to detail and quality orientation.
- Ability to multitask on a variety of critical projects.
- Ability to work independently, while also collaborating with others.
- Strong communication skills, particularly when explaining complex technical information.
- Ability to provide solutions to problems in situations that are atypical / infrequent.
- Analytical thinking and the ability to identify patterns.
- Efficiency with own work and impact of team results.
- Informal leadership capabilities with an interest in mentoring less experienced team members.
Compensation :
Salary to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data. $104,000 - $130,000
Location :
New York, NY : 125 West 55th Street, 10019
Position Type : Regular
Regular
Time Type : Full time
Full time
Pay Type : Salaried
Salaried
Benefits :
- Employer sponsored medical, dental and vision with a variety of coverage options.
- Company provided and supplemental life insurance.
- Paid vacation and sick time.
- Paid company holidays, including a floating holiday that enable our employees to celebrate the holiday of their choosing.
- A Spirit day to encourage and allow our employees to more easily volunteer in their community.
- A 401K plan.
- Employee Assistance Program (EAP) at no cost services include telephonic counseling sessions, consultation on legal and financial matters, emotional well-being, family and caregiving.
- A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more!
We are accepting applications for this role on an ongoing basis.
The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.
Non-Compete will be required for certain positions and as allowed by law.
Our organization participates in E-Verify.
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