Predictive Data Scientist for ML Software Product (offline)
*Responsibilities:*
- Creating models that forecast demand and sales using both internal and external data sources
- Working with cross-functional team to implement the solutions into our SaaS platform
- Analyzing customers' data for creating reports and finding insights
*Requirements:*
- 2+ years of experience as a data scientist
- Experience in time-series forecasting (model creation, evaluation, selection)
- Expertise in Python, SQL
- Experience in deploying machine learning models to production
- Ability to communicate in English on technical topics
*As a plus:*
- Experience in marketing/sales domain
- Knowledge of NLP frameworks
- Experience in PySpark
- Experience in Microsoft Azure
- Creating models that forecast demand and sales using both internal and external data sources
- Working with cross-functional team to implement the solutions into our SaaS platform
- Analyzing customers' data for creating reports and finding insights
*Requirements:*
- 2+ years of experience as a data scientist
- Experience in time-series forecasting (model creation, evaluation, selection)
- Expertise in Python, SQL
- Experience in deploying machine learning models to production
- Ability to communicate in English on technical topics
*As a plus:*
- Experience in marketing/sales domain
- Knowledge of NLP frameworks
- Experience in PySpark
- Experience in Microsoft Azure
About Simporter
Simporter is an early-stage SaaS company with HQ in Atlanta, USA. We are building a software that automates new product research for FMCG companies, working with the largest brands in the world.Company website:
https://www.simporter.com/
DOU company page:
https://jobs.dou.ua/companies/simporter/
The job ad is no longer active
Job unpublished on
27 May 2021
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