we are looking for a Customer-Facing Data Scientist.
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.
Requirements:
5+ years of experience as a data scientist working on tabular and time-series data
BSc in a relevant field (e.g., Computer Science, Engineering, Statistics)
Proficient in Python, SQL, and Spark
Proven experience in creating measurable value with ML (defining KPIs, designing A/B tests, monitoring models in production)
Deep experience with time series modeling and forecasting techniques
Experience with AWS / Databricks – an advantage
MSc/Research experience – an advantage
Experience working with Customers (in English) – an advantage
5+ years of experience as a data scientist working on tabular and time-series data
BSc in a relevant field (e.g., Computer Science, Engineering, Statistics)
Proficient in Python, SQL, and Spark
Proven experience in creating measurable value with ML (defining KPIs, designing A/B tests, monitoring models in production)
Deep experience with time series modeling and forecasting techniques
Experience with AWS / Databricks – an advantage
MSc/Research experience – an advantage
Experience working with Customers (in English) – an advantage
This position is open to all candidates.
