Founded in 2017, REPS & Co. has rapidly become a leader in data analytics in the entertainment industry. Recognized on the Forbes list of America's Best Startup Employers, we focus on delivering advanced analytics that supports data-driven decisions. Our solutions provide comprehensive insights and forecasts, enabling us to have a better understanding and response to supply and demand in the ticketing world. With a commitment to driving innovation, REPS & Co. helps shape a dynamic market environment.

We are looking for a skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in statistical analysis, machine learning, and data visualization. You will be responsible for analyzing complex datasets, building predictive models, and collaborating with cross-functional teams to deliver data-driven insights and solutions. This role is perfect for someone who thrives in a fast-paced startup environment and is passionate about turning data into actionable strategies.

Key Responsibilities:

• Collect, clean, and preprocess data from various sources for analysis
• Develop and implement statistical models and machine learning algorithms
• Identify trends, patterns, and insights from large datasets to support business decisions
• Design and build predictive models to solve real-world problems
• Visualize data and create dashboards and reports to communicate findings clearly
• Collaborate with Data Engineers to optimize data pipelines and ensure data integrity
• Work closely with cross-functional teams to integrate data solutions into products and workflows
• Test and validate models, ensuring accuracy and scalability
• Document methodologies, data sources, and model performance metrics
• Explore and implement new tools, libraries, and frameworks to enhance data science capabilities
• Translate complex data insights into simple, actionable recommendations for stakeholders
• Stay current with industry trends, tools, and best practices in data science and AI

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• Proven experience as a Machine Learning Engineer or similar role
• Proficiency in programming languages such as Python, R, or Java
• Strong understanding of data structures, algorithms, and statistical methods
• Experience with data preprocessing, feature engineering, and model evaluation
• Proficiency in managing data pipelines and using ETL tools (e.g., Alteryx, Talend, Informatica)
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and MLops tools
• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork abilities

Benefits

• Medical, Dental, and Vision insurance
• Sick Leave
• Paid Holidays
• Volunteer Time Off
• 401k with Match
• ESOP
• Parental Leave
• 100% Employer Paid Life Insurance & Long Term Disability
• EAP Program
• Bonus
• Gym Membership Reimbursement
• Ticket Benefits

#Li-Remote