Data Scientist

Job Details Salary Range: Undisclosed Description

Job Title: Data Scientist
Reports to: Director - Business Analysis
Career Path Classification: Non-Supervisory/Assistant Manager/Level 3

About Railbookers:

At Railbookers, we believe that the journey is just as fulfilling as the destination. Life onboard is full of opportunities, new experiences, and rewarding relationships.

We're a team of diverse, talented people from around the world. As we continue to expand internationally, we strive to ensure that our culture remains alive and well -that we remain aligned and engaged. Global movements don't spring from one individual. It takes an entire team to make an impact and do something BIG. At Railbookers, we encourage every employee to identify areas of opportunity within the organization.

Every single person at Railbookers has a passion for travel, which explains why we're so avid about encouraging our customers to get out and discover the world for themselves. Most importantly, we embolden you to be yourself and enjoy the work you do on a daily basis. We like having a great time at work, not just outside of it.

Job Purpose:

We are seeking a business-savvy and technically skilled Data Scientist to join our analytics team. As a seasoned professional, you will be responsible for developing and deploying machine learning models that influence business strategy, enhance marketing effectiveness, and drive operational optimization. This role requires a strong understanding of data science techniques, wider department goals, and cross-functional collaboration to deliver impactful analytical solutions.

Duties and Responsibilities:

1. Advanced Analytics and Modeling

• Design and implement predictive models for key outcomes like conversion propensity and lead scoring
• Apply machine learning techniques including classification, regression, clustering, and recommendation systems
• Develop and validate statistical models to identify patterns and trends in complex datasets
• Evaluate and implement appropriate algorithms based on business requirements and data characteristics
• Monitor and refine models in production to ensure sustained performance

2. Data Management and Preparation

• Work with Data Engineers to prepare clean, reliable datasets for analysis and modeling
• Implement data quality checks and validation procedures
• Perform feature engineering to optimize model performance
• Develop efficient data processing pipelines for model training and deployment
• Document data transformations and analytical methodologies

3. Cross-functional Collaboration

• Collaborate across marketing, sales, operations, and product teams to solve business problems using data science
• Translate business questions into analytical frameworks and approaches
• Build productive relationships with stakeholders to understand their needs and requirements
• Provide data-driven insights to support strategic decision-making
• Model organizational values and lead by example for more junior team members

4. Insight Communication and Visualization

• Build clear visualizations and communicate findings to technical and non-technical stakeholders
• Present complex analytical results in accessible and actionable formats
• Develop dashboards and reports to track model performance and business impact
• Create compelling narratives around data insights to drive organizational change
• Document methodologies and findings for knowledge sharing

5. Continuous Improvement and Innovation

• Research and implement new data science techniques and technologies
• Actively seek feedback and conduct retrospectives to improve analytical approaches
• Participate in professional development activities to enhance technical skills
• Contribute to the development of best practices and standards
• Mentor junior analysts in data science methodologies and techniques

Perform all other duties as assigned to meet team's objectives and ensure business operational efficiency.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
• 3+ years of experience in data science or machine learning role
• Proficiency in Python (pandas, scikit-learn, TensorFlow, etc.) and SQL
• Experience with cloud platforms (Azure preferred) and ML tools
• Strong understanding of machine learning concepts and model evaluation techniques
• Ability to communicate complex insights in an accessible and impactful way
• Experience working with cross-functional teams to deliver data-driven solutions
• Demonstrated problem-solving abilities and creative thinking
• Excellent attention to detail and ability to manage multiple priorities
• Knowledge of data visualization tools and techniques
  

What we Offer:

• Work from Home
• Generous PTO Package
• Bonus and Incentive Plans
• Medical, Dental, and Vision Insurance Including Optional HSA, Gym Membership Contributions and Healthy Actions incentive (sponsored by Cigna)
• Employee Assistance Program
• Short-term/Long Term disability Plan
• Employer sponsored Life Insurance
• Employer-Matched 401(k)
• Familiarization Trips (Get paid to experience our vacations!)
• Employee and Family/Friend Travel Discounts
• Corporate Discounts through Working Advantage
• Employee Referral Bonus
• Cross-Departmental and Advanced Training Opportunities
• Anniversary, Birthday, and Recognition Perks
• Years of Service Awards
• Annual Reimbursements for Home Office (office expenses, phone, internet)