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Data Scientist

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Full Remote
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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.

REPS & Co. logo
REPS & Co. Scaleup https://repsandcompany.com/
201 - 500 Employees
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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

  • 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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Detail Oriented
  • Communication
  • Problem Solving

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