We are looking for an experienced data scientist to lead the initiatives we’re taking, to improve the product offerings , from the perspective of risk modelling and business forecasting (prescriptive & predictive).
As a team member in core data science team, you will own the research charter for data and decision science to enable the business stakeholders to be data-driven and deterministic, by providing insights into the decisions at-hand and roadmap planning.
You will be working in a team of Data Scientists to enable a culture of 360-degree analysis of business, with ownership of the modelling environments and ML models. You will get the support to evangelize sound practices for prototyping of concepts, to fail-fast and/or maintain continuum of persistent research.
You will collaborate with multi-disciplinary teams of engineers, product owners & business stakeholders to solve complex & ambiguous problems, in the domains of:
Gift Cards E-Commerce (B2B & B2C)
Forecasting of Inventory, Traffic & Breakage
Risk Modelling (Scorecards)
Fraud Detection & Prevention
Loyalty & Rewards Programs Modelling
Responsibilities:
Partner closely with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions
Apply statistical, machine learning and econometric models on large datasets to: i) measure results and outcomes of our current models and product strategies, ii) optimize user experience while minimizing fraud/risks
Design, conduct, and analyze experiments to quantify the impact of product and operation changes
Develop metrics to guide product development, and create dashboards for key performance indicators and deep dive to understand the drivers
Drive the collection of new data and the refinement of existing data sources
Qualifications:
Masters (or equivalent) degree in a quantitative discipline (Statistics, Operations Research, Data Science, Mathematics, Physics, Engineering etc.).
A strong background in advanced mathematics, in particular statistics & probability theory, data mining, and machine learning.
5+ years of overall professional experience with 3+ years in data science, doing exploratory data analysis, testing hypotheses, and building prescriptive & predictive models.
Demonstrated experience in creation, deployment and performance evaluation of supervised and unsupervised machine learning models.
Proficiency in Python.
Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.
Strong Communication: ability to articulate clearly, navigate & adapt across different seniority levels.
Ability to use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights.
Be passionate about collaborating daily with your team and other groups while working via a distributed global operating model.
Be eager to help your teammates, share your knowledge with them, and learn from them.
Preferred Qualifications
Experience with MLOPs frameworks
Experience with creating explainable ML model
Experience with source code control systems like Git
Experience with data visualization and business intelligence tools like PowerBI
Knowledge of experimental design and A/B testing
Experience in an Agile development environment
Experience with AWS cloud environment
Proven ability to quickly learn and apply new techniques
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Must be a team-player and capable of handling multi-tasks in a dynamic environment
Excellent business writing, verbal communication, and presentation skills