Offer summary

Qualifications:

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..

Key responsabilities:

Collect, clean, and preprocess data from various sources for analysis.

Develop and implement statistical models and machine learning algorithms.

Visualize data and create dashboards and reports to communicate findings clearly.

Collaborate with cross-functional teams to integrate data solutions into products and workflows.

Job description

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