Data Science Team Lead (Remote)
Sportmaster
(Konsumgüter und Handel, >10.000 Mitarbeiter)
Schlagwörter
Machine Learning
Airflow
Amazon Web Services
Computer Vision
Personalisierung
E-Commerce
Apache Hadoop
Apache Hive
Python
Natural Language Processing
Skills
Technical skills:
- Programming Languages: Python, SQL, PL/SQL
- Deep Learning: PyTorch, Keras, TensorFlow
- Databases: Oracle, Postgres
- Hadoop: Hive, Apache Spark, Impala
- NoSQL: Redis, MongoDB
- Other: AWS, Docker , Airflow, Elasticsearch, bash scripting, Linux, git
- Minor programming skills: R, C, C++, Scala, HTML/CSS/JS
Interests:
- Machine Learning
- Recommendation systems
- Personalization
- Search relevance
- Natural Language processing
Over 10 years' experience in Data Science, Big Data and Business Intelligence. I have worked on innovative projects in e-commerce, retail, telecommunications. I enjoy solving complex analytical problems and developing smart services based on AI and machine learning. I am proud that my work helps to improve the shopping experience of millions of people.
- Programming Languages: Python, SQL, PL/SQL
- Deep Learning: PyTorch, Keras, TensorFlow
- Databases: Oracle, Postgres
- Hadoop: Hive, Apache Spark, Impala
- NoSQL: Redis, MongoDB
- Other: AWS, Docker , Airflow, Elasticsearch, bash scripting, Linux, git
- Minor programming skills: R, C, C++, Scala, HTML/CSS/JS
Interests:
- Machine Learning
- Recommendation systems
- Personalization
- Search relevance
- Natural Language processing
Over 10 years' experience in Data Science, Big Data and Business Intelligence. I have worked on innovative projects in e-commerce, retail, telecommunications. I enjoy solving complex analytical problems and developing smart services based on AI and machine learning. I am proud that my work helps to improve the shopping experience of millions of people.
Projekthistorie
01/2020
-
bis jetzt
Sportmaster is one of the three largest sporting goods retailers in Europe with 210 million offline visitors a year and a huge online customer base.
- Working on improving search relevance and increasing financial result of the search engine using ML approaches
- Developed and implemented ML-based autosuggest API (phrases, categories, items)
- Developed and implemented automated pipeline of dataset labeling for assessing search relevance using crowdsourcing platform
- Developed and implemented item ranking personalization in catalog branches on site and mobile app
01/2018
-
02/2019
Senior Data Scientist
Sportmaster
(Konsumgüter und Handel, >10.000 Mitarbeiter)
- Developed and implemented system for optimizing marketing communications using uplift models
- Developed and implemented recommender systems based on Deep Learning approaches
- Implemented pipeline for preparing product embeddings based on purchases, text descriptions, images
- Implemented pipeline for extracting product tags using CV, NLP (NER)
- Conducted A/B tests before implementations
02/2017
-
12/2017
Data Scientist
MegaFon
(Telekommunikation, >10.000 Mitarbeiter)
MegaFon is the second largest mobile operator in Russia with 75.4 million customers.
Worked on solving business problems and implementing prototypes:
- Improved the Churn prediction model
- Developed predictive model for client gender
- Developed classification model for Down-sale prediction
- Prepared various triggers to stimulate top up, prevent the churn
01/2016
-
02/2017
Data Scientist
Aeroflot
(Transport und Logistik, >10.000 Mitarbeiter)
Aeroflot (the largest airline in Russia).
- Unified client profile model (UCP) - comparison of user data from different sources (Oracle DWH, GA, Siebel, Check-In system, social networks) using near-duplicate detection algorithms
- Client LTV forecasting
- RFM segmentation
- Developed and implemented recommender system for email personalization
10/2012
-
01/2016
Senior SAP BI Consultant
ID - Management Technologies
(Energie, Wasser und Umwelt, 250-500 Mitarbeiter)
SAP BI implementation projects in Federal Grid Company (operator and manager of unified electricity transmission grid system in Russia), MOESK (major distribution electric grid company in Russia)
- Implemented wide range of management reports for desktop and mobile devices to support decision-making in investment activities
- Reporting, Data warehouse modeling (SAP BW), ETL, ABAP development
12/2010
-
10/2012
Senior SAP BI Consultant
TeamIdea
(Konsumgüter und Handel, 50-250 Mitarbeiter)
SAP BI implementation projects in FINN FLARE, Incity, SELA (large Fashion Retail companies in Russia), Euroset (large mobile phone retailer)
- Implemented management reports and KPI dashboards for managers of different levels, Data warehouse modeling (SAP BW), ETL
Reisebereitschaft
Nur Remote verfügbar
Sonstige Angaben
www.linkedin.com/in/sfomichev
