Перенесена в архив: Data Scientist
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О вакансии
SegmentStream — AI-powered data intelligence platform built for advanced digital marketing teams.
We’re looking for an experienced Data Scientist to function as a key member of SegmentStream’s Data team to develop, validate, and maintain predictive modeling solutions for a variety of unique problems in the marketing attribution and optimisation space.
As a Data Scientist, you’ll be applying machine learning and statistical techniques on vast data sets to create and support data-driven products and business insights.
What you’ll do:
- Develop machine learning models to create innovative solutions to problems in the attribution and marketing analytics industry.
- Continually improve the accuracy and efficiency of current ML models.
- Prepare SQL for data preprocessing and feature mining.
- Prepare created ML algorithms for deployment into our live production environment.
- Assist in A/B-test design and hypothesis testing of marketing campaigns.
What we are looking for:
- 2 + years of experience with Python for statistical analysis, data visualisation, and predictive modeling.
- 2 + years of experience with SQL for data analysis.
- Strong math skills (e.g. statistics, algebra).
- Experience in solving classification and regression problems on structured data.
- Working knowledge of popular machine learning algorithms, such as regression, clustering, random forest, and gradient boosting.
- Experience in implementing a created ML models in a production environment.
- Ability to understand a business challenge from the management team and design a proper technical solution.
- Good communication skills (both verbal and written).
- Good English (B2 or above).
Bonus:
- Experience in marketing attribution modeling or CRM modeling (churn, cross-sell, etc.).
- Experience with the cloud data warehouses and ML technologies such as Google BigQuery, BigQuery ML, Amazon Cloud, etc.
- Experience working with tools like Airflow and getdbt.
- Experience in A/B-test design and hypothesis testing.
- You have a Kaggle or GitHub with an open-source work that you are proud to share.
Присылайте резюме на hr@digitalhr.ru или в Telegram: @DigitalHRAgency