We are looking for a Data Science Researcher – Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.
Requirements:
3+ years of experience as a data scientist in the industry, experience from b2c companies is a plus.
High communication skills, understanding business needs, and combining the business case into the data science area in order to leverage decision making.
Deep understanding of classical ML & DL algos for a wide spectrum of problems and domains. Time series modeling – must.
MSc or PhD in Computer Science, Data Science, Statistics or a related field.
Proven hands-on experience developing and researching algorithms in various fields and data science/machine learning techniques such as: boosting algorithms, time series models, clustering, anomaly detection methods, and more.
Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
Proficiency with Python and SQL.
3+ years of experience as a data scientist in the industry, experience from b2c companies is a plus.
High communication skills, understanding business needs, and combining the business case into the data science area in order to leverage decision making.
Deep understanding of classical ML & DL algos for a wide spectrum of problems and domains. Time series modeling – must.
MSc or PhD in Computer Science, Data Science, Statistics or a related field.
Proven hands-on experience developing and researching algorithms in various fields and data science/machine learning techniques such as: boosting algorithms, time series models, clustering, anomaly detection methods, and more.
Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
Proficiency with Python and SQL.
This position is open to all candidates.
