Data Scientist
ITRex
We are a global IT consulting and development company with a We Care attitude, striving to create momentum in our clients’ digital transformation.
Our 230+ team brings together creative and talented cross-functional experts who are hungry for the success of every project.
We have delivered hundreds of game-changing solutions to Fortune 500 giants, mid-market companies and startups and pride ourselves on being part of a success story of global leaders such as TASC, Procter & Gamble, Dun & Bradstreet, Dollar Shave Club or JibJab.
We value initiative, open communication and self-motivated commitment rather than compliance and box-ticking, and are looking for like-minded individuals who share our passion about doing great new things together.
Our 230+ team brings together creative and talented cross-functional experts who are hungry for the success of every project.
We have delivered hundreds of game-changing solutions to Fortune 500 giants, mid-market companies and startups and pride ourselves on being part of a success story of global leaders such as TASC, Procter & Gamble, Dun & Bradstreet, Dollar Shave Club or JibJab.
We value initiative, open communication and self-motivated commitment rather than compliance and box-ticking, and are looking for like-minded individuals who share our passion about doing great new things together.
Join our friendly team as a Data Scientist!
Our expectations
Required
Nice-to-have
Your Responsibilities
What We Offer
Our expectations
Required
- 3+ years of experience as a Data Scientist
- Superior knowledge of statistical analysis methods, such as feature selection, logistic and standard regression, random forests, etc.
- Extensive experience with pandas, numpy, and sklearn
- Experience working with engineers to build an actual production system using machine learning and artificial intelligence. We don't expect you to write production-quality code, but you should have some programming experience in Python
- Familiarity with financial forecasting, customer lifetime value prediction, customer segmentation, propensity and uplift modeling and causal inference techniques
- Excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work
- Ability to clearly communicate technical concepts to a non-technical audience
- Excellent verbal and written English skills to work in an international team environment
Nice-to-have
- Experience with forecasting (prophet, orbit) and causal inference (DoWhy, CausalML) tools is a plus
Your Responsibilities
- Partner with stakeholders to implement and scale a data science system that can accurately measure and predict the cost of the services we provide our community of users
- Develop and maintain models to differentiate fixed vs. variable costs, aiding in understanding how different business lines scale under different scenarios
- Estimate the implications of different product and operational choices, enabling informed decision-making
- Collaborate with cross-functional teams including product managers, engineers, and operations to support data-driven decision-making
- Present insights and recommendations to senior management and stakeholders
- Learn from and influence a diverse team of data scientists working on problems across the company
What We Offer
- A sense of community and friendship, diversity and inclusivity
- Informal working environment with short decision-making chains
- Flexible work hours and remote work options
- Established personal development processes
- Support of professional training and certification
- Regular company events (ITRexTalks, Q&A session with the CEO, Tech Meet-ups)
- Social benefits (medical insurance, sports reimbursement, and free English classes)
