As a Data Scientist at Openr, you will play a pivotal role in designing, developing, and implementing price modelling&price optimisation algorithms that maximise revenue for our customers. You will work closely with cross-functional teams, including product, engineering, sales&customer success, to enable data-driven pricing strategies for our customers.
- You will:Develop, implement, and maintain advanced price modelling & price optimisation algorithms.
- Analyse historical and real-time data to identify pricing opportunities and challenges.
- Build predictive models to forecast customer behavior and demand elasticity.
- Collaborate with engineering teams to integrate algorithms into production systems.
- Monitor and refine pricing models based on real-world performance and feedback.
- Enable Openr customers to conduct A/B testing and scenario simulations using our platform to evaluate the impact of pricing strategies.
- Conduct research with customers&stakeholders and present insights and recommendations in a clear and actionable manner.
- Train & upskill your peers, sharing best practice and learnings with the wider team.
What We’re Looking ForWe are looking for an individual who fits right in, and has integrity in their approach. We are looking for a collaborator, someone with a low ego who will contribute to our positive culture and be comfortable working across all functions.
- Previous experience in implementing large-scale price optimisation systems.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field.
- Strong programming skills in Python, R, or a similar language.
- Proficiency in data manipulation and analysis tools
- Experience with machine learning frameworks and optimisation techniques.
- Solid understanding&experience of pricing strategies, demand modeling, and elasticity.
- Strong problem-solving skills and ability to work with complex datasets.
- Excellent communication skills and ability to convey technical concepts to non-technical stakeholders.
- Experience in e-commerce, SaaS, or a related industry.
- Familiarity&experience with AWS
- Knowledge of statistical modeling and time-series forecasting.
- What Success Looks LikeImpactful Pricing Optimisation Capability: Implementation of pricing algorithms that enable our customers to sustainably grow their revenue through price optimisation without requiring their own data science capability.
- Customer Trust: Building trust in customers to use machine learning and data science in their pricing decisions as a matter of course.
- Algorithm Performance: Delivery of scalable, high-performance pricing models that are responsive to real-time data and adapt seamlessly to changes in market dynamics.
- Collaboration and Influence: Building strong partnerships with product, engineering, sales&customer success teams, and effectively communicating data science recommendations to influence strategic decisions.
- Continuous Improvement: Demonstrating a commitment to experimentation, learning, and iterative improvement, ensuring pricing models remain cutting-edge and competitive.
- Customer and Stakeholder Satisfaction: Enhanced customer experience and satisfaction through fair and optimised pricing, coupled with stakeholder trust in the reliability of the pricing systems.
This role will be a critical contributor to Openr’s growth trajectory, directly influencing the company’s ability to deliver value through intelligent and innovative pricing solutions.
- Interview Process45 minute informal video call to find our more about Openr and for Openr to find out more about you.
- 90 minute formal video interview with CTO & Head of Engineering focussed on skills and experience
- 60 minute face to face "100 day plan" interview (with time between stages 2 & 3 to prepare)
- Culture fit interview with existing engineering team
