[WZA] Senior Applied Scientist

Software Mind

10h•Remote

About The Position

Project – the aim you’ll have The Client is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. Position – how you’ll contribute Actively contribute to the team roadmap, and work closely with product managers and engineers to identify areas of opportunity and resource requirements to deliver impactful projects Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions. You enjoy finding solutions to new complex problems and don’t mind getting your hands dirty (with pen and paper or in your IDE of choice). Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders. Educate them about your products and solutions. Be the owner of the whole development cycle of algorithms - from opportunity discovery to production. Iteratively improve models and explore the art of possibility (e.g. new data sources, new ways of structuring the problem) Build model pipelines and streamline analysis processes, using common programming tools (e.g. Python, R, Scala, SQL, PyTorch, Tensorflow etc.)

Requirements

Master degree or above (PhD) in quantitative economics, statistics, mathematics, physics, operation research or a related quantitative discipline with a strong theoretical foundation in statistics, econometrics, time series analysis, and machine learning methodologies.
At least 5 years of industry experience (3 years with PhD degree) in developing forecasting models, using both statistical methods and machine learning techniques. Understand the tradeoff of each method and their areas of applications.
Have deep knowledge of the state of the art practices in forecasting, but also maintain a bias for simplicity
Extensive experience with Python and its associated data science libraries, including writing production quality code (not just notebooks).
Excellent verbal and written communication skills with a curious and self-starter mindset.
Ability to unblock yourself, but also proactively request support when needed to remove roadblocks

Nice To Haves

Command of causal inference is a big plus
Familiarity with optimization software such as Gurobi a plus.

Responsibilities

Actively contribute to the team roadmap
Work closely with product managers and engineers to identify areas of opportunity and resource requirements to deliver impactful projects
Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions
Communicate technical problems and results effectively with other team members and also with (less technical) stakeholders
Educate them about your products and solutions
Be the owner of the whole development cycle of algorithms - from opportunity discovery to production
Iteratively improve models and explore the art of possibility (e.g. new data sources, new ways of structuring the problem)
Build model pipelines and streamline analysis processes, using common programming tools (e.g. Python, R, Scala, SQL, PyTorch, Tensorflow etc.)