Data Scientist
5+ years
United States
Full-time
Remote
1 month ago
About the role
About The Company
Jobot is a renowned organization operating within the entertainment industry, recognized for delivering memorable experiences that unite audiences worldwide. The company’s portfolio encompasses live events, ticketing services, digital platforms, and subscription-based offerings, connecting millions of fans with their favorite content and moments. Embracing a culture of innovation, Jobot functions with a startup mentality—fast-paced, collaborative, and deeply committed to leveraging data-driven insights to enhance customer engagement and operational efficiency.
Powered by modern technologies and advanced analytics, Jobot empowers its teams to make smarter decisions across various business functions. The organization’s approach combines creative thinking with data science, enabling the optimization of ticket sales, personalization of subscription experiences, and refinement of marketing strategies. Jobot values ownership, experimentation, and impact, encouraging employees to contribute to launching new products, improving customer insights, and building scalable data solutions. Join Jobot to be part of a forward-thinking company shaping the future of entertainment and audience engagement.
About The Role
We are seeking a skilled Data Scientist specializing in Marketing Analytics, with a focus on customer acquisition cost (CAC), lifetime value (LTV), and subscription metrics. This role is integral to our data-driven decision-making process, working at the intersection of data, product development, and business strategy. The successful candidate will develop and deploy predictive models that influence key business metrics, optimize marketing campaigns, and enhance customer engagement strategies.
The role offers an exciting opportunity to operate within a dynamic environment that combines the agility of a startup with the scale of a major entertainment brand. You will collaborate closely with cross-functional teams—including marketing, product, and analytics—to translate complex business needs into actionable insights and scalable data solutions. Your work will directly impact revenue growth, customer retention, and overall business performance, making this an ideal position for a data professional passionate about entertainment and consumer analytics.
Qualifications
The ideal candidate will possess 3-5 years of experience in data science, analytics, or related fields, with a proven track record of developing models focused on churn prediction, LTV, CAC, or similar consumer metrics. You should have strong proficiency in Python and SQL, along with experience working with modern data platforms such as Snowflake and cloud environments like AWS. A solid understanding of statistical methods, machine learning techniques, and experimental design is essential. The ability to analyze large, complex datasets and extract meaningful insights is critical, as is the capacity to thrive in a fast-paced, startup-like environment.
Preferred qualifications include experience within entertainment, media, ticketing, or subscription-based businesses, familiarity with forecasting models and time-series analysis, and proficiency with data visualization tools such as Tableau or Looker. Exposure to big data tools like Spark is a plus, as is experience working in a highly collaborative, innovative environment.
Responsibilities
Your primary responsibilities will include developing and maintaining predictive models for churn, LTV, and CAC to inform growth and retention strategies. You will analyze ticket sales data to identify trends, forecast demand, and optimize pricing and promotional activities. Generating insights on customer behavior across various subscription and transactional products will be crucial to refining our marketing and engagement efforts.
Collaborating with product, marketing, and analytics teams, you will translate business needs into data-driven solutions, designing and analyzing A/B tests to evaluate new features, campaigns, and pricing strategies. Building scalable data pipelines and workflows in partnership with data engineering teams will ensure efficient data processing and analysis. You will also be responsible for communicating complex findings clearly to both technical and non-technical stakeholders, enabling informed decision-making across the organization.
Benefits
Joining Jobot provides an opportunity to work with a leading entertainment brand in a vibrant, innovative environment. The company offers a fully remote work setup, allowing flexibility and work-life balance. Competitive compensation packages are complemented by comprehensive benefits, including health insurance, retirement plans, and professional development opportunities. Employees are encouraged to take ownership of their projects, experiment with new ideas, and grow within a supportive, dynamic culture that values diversity and inclusion. Being part of Jobot means contributing to a company that is redefining how audiences experience entertainment worldwide.
Equal Opportunity
Jobot is an Equal Opportunity Employer. We are committed to fostering an inclusive work environment that celebrates diversity and ensures all qualified candidates have equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other protected characteristic under applicable laws. We prohibit harassment or discrimination of any kind and adhere to all relevant federal, state, and local laws. We also perform background checks where required, and consider qualified candidates with criminal histories in accordance with applicable laws. By applying, you acknowledge and agree to our privacy policies and consent to communication via various channels as described in our privacy notices.
Jobot is a renowned organization operating within the entertainment industry, recognized for delivering memorable experiences that unite audiences worldwide. The company’s portfolio encompasses live events, ticketing services, digital platforms, and subscription-based offerings, connecting millions of fans with their favorite content and moments. Embracing a culture of innovation, Jobot functions with a startup mentality—fast-paced, collaborative, and deeply committed to leveraging data-driven insights to enhance customer engagement and operational efficiency.
Powered by modern technologies and advanced analytics, Jobot empowers its teams to make smarter decisions across various business functions. The organization’s approach combines creative thinking with data science, enabling the optimization of ticket sales, personalization of subscription experiences, and refinement of marketing strategies. Jobot values ownership, experimentation, and impact, encouraging employees to contribute to launching new products, improving customer insights, and building scalable data solutions. Join Jobot to be part of a forward-thinking company shaping the future of entertainment and audience engagement.
About The Role
We are seeking a skilled Data Scientist specializing in Marketing Analytics, with a focus on customer acquisition cost (CAC), lifetime value (LTV), and subscription metrics. This role is integral to our data-driven decision-making process, working at the intersection of data, product development, and business strategy. The successful candidate will develop and deploy predictive models that influence key business metrics, optimize marketing campaigns, and enhance customer engagement strategies.
The role offers an exciting opportunity to operate within a dynamic environment that combines the agility of a startup with the scale of a major entertainment brand. You will collaborate closely with cross-functional teams—including marketing, product, and analytics—to translate complex business needs into actionable insights and scalable data solutions. Your work will directly impact revenue growth, customer retention, and overall business performance, making this an ideal position for a data professional passionate about entertainment and consumer analytics.
Qualifications
The ideal candidate will possess 3-5 years of experience in data science, analytics, or related fields, with a proven track record of developing models focused on churn prediction, LTV, CAC, or similar consumer metrics. You should have strong proficiency in Python and SQL, along with experience working with modern data platforms such as Snowflake and cloud environments like AWS. A solid understanding of statistical methods, machine learning techniques, and experimental design is essential. The ability to analyze large, complex datasets and extract meaningful insights is critical, as is the capacity to thrive in a fast-paced, startup-like environment.
Preferred qualifications include experience within entertainment, media, ticketing, or subscription-based businesses, familiarity with forecasting models and time-series analysis, and proficiency with data visualization tools such as Tableau or Looker. Exposure to big data tools like Spark is a plus, as is experience working in a highly collaborative, innovative environment.
Responsibilities
Your primary responsibilities will include developing and maintaining predictive models for churn, LTV, and CAC to inform growth and retention strategies. You will analyze ticket sales data to identify trends, forecast demand, and optimize pricing and promotional activities. Generating insights on customer behavior across various subscription and transactional products will be crucial to refining our marketing and engagement efforts.
Collaborating with product, marketing, and analytics teams, you will translate business needs into data-driven solutions, designing and analyzing A/B tests to evaluate new features, campaigns, and pricing strategies. Building scalable data pipelines and workflows in partnership with data engineering teams will ensure efficient data processing and analysis. You will also be responsible for communicating complex findings clearly to both technical and non-technical stakeholders, enabling informed decision-making across the organization.
Benefits
Joining Jobot provides an opportunity to work with a leading entertainment brand in a vibrant, innovative environment. The company offers a fully remote work setup, allowing flexibility and work-life balance. Competitive compensation packages are complemented by comprehensive benefits, including health insurance, retirement plans, and professional development opportunities. Employees are encouraged to take ownership of their projects, experiment with new ideas, and grow within a supportive, dynamic culture that values diversity and inclusion. Being part of Jobot means contributing to a company that is redefining how audiences experience entertainment worldwide.
Equal Opportunity
Jobot is an Equal Opportunity Employer. We are committed to fostering an inclusive work environment that celebrates diversity and ensures all qualified candidates have equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other protected characteristic under applicable laws. We prohibit harassment or discrimination of any kind and adhere to all relevant federal, state, and local laws. We also perform background checks where required, and consider qualified candidates with criminal histories in accordance with applicable laws. By applying, you acknowledge and agree to our privacy policies and consent to communication via various channels as described in our privacy notices.