Senior Data Scientist
About Pruvo
Pruvo is a fast-growing travel-tech company focused on helping travel companies increase profitability and generate additional sales by improving sales channels, dynamic pricing models, and many more.
At Pruvo, we combine data intelligence, automation, and scalable backend architecture to power solutions for large enterprise clients in the travel space. Our platform is designed to integrate seamlessly into partner ecosystems, enabling organizations to deliver continuous value to their customers through automated price optimization. As we expand our B2B offering and infrastructure, we’re looking for experienced engineers who are excited to build robust, high-scale systems that serve complex business needs.
The Opportunity
We’re looking for a Data Scientist who can turn complex datasets into actionable insights and production-ready models. This role is ideal for someone who enjoys both the analytical and practical sides of data science—from exploration and experimentation to influencing business decisions.
You will work on high-impact problems such as pricing optimization, anomaly detection, demand patterns, and predictive modeling—directly affecting how our partners generate value.
What Makes You a Great Fit
- You have strong experience applying machine learning to real-world problems
- You are comfortable working with messy, large-scale datasets and extracting meaningful insights
- You think beyond models—understanding how outputs translate into business impact
- You are curious, analytical, and pragmatic in choosing the right approach for each problem
What You’ll Be Doing
- Analyze large datasets to uncover trends, patterns, and opportunities
- Design and implement machine learning models (supervised and unsupervised)
- Choose appropriate methodologies (e.g., clustering, classification, regression) based on business needs
- Evaluate model performance and iterate to improve accuracy and impact
- Translate model outputs into clear recommendations and product improvements
- Work closely with engineering and product teams to deploy models into production
- Build data pipelines and workflows to support continuous learning systems
- Communicate insights and findings to stakeholders across the company
A Typical Day
- Exploring new datasets and validating hypotheses
- Building or refining models to improve pricing or prediction accuracy
- Collaborating with engineers to productionize models
- Discussing findings with product or business teams
- Monitoring model performance and identifying improvements
- Documenting experiments and insights
Tech Stack
- Languages: Python
- Libraries: Pandas, NumPy, scikit-learn, TensorFlow / PyTorch
- Data: SQL, large-scale datasets
- Infrastructure: AWS
- Tools: Jupyter, data visualization tools
Requirements
- 5–8+ years of experience in data science or applied machine learning
- Strong foundation in statistics and machine learning concepts
- Experience with supervised and unsupervised learning techniques
- Proficiency in Python and common data science libraries
- Experience working with SQL and large datasets
- Ability to translate business problems into data science solutions
- Strong communication skills in English
Nice to Have
- Experience in pricing, recommendation systems, or time-series analysis
- Background in travel-tech or marketplace products
- Experience deploying models into production environments
- Familiarity with experimentation frameworks (A/B testing)
Compensation & Benefits
- Competitive salary based on experience and location
- Flexible working hours and remote-friendly environment
- Budget for learning, courses, and conferences
- Opportunity to work on high-impact, data-driven products at scale
Hiring Process
- Introductory conversation
- Practical data task or case study
- Technical discussion based on your approach
- Final interview with leadership
- Offer stage
If you’re excited about turning data into real-world impact and building intelligent systems that power decision-making for global businesses, Pruvo could be a great fit.
