SENIOR FULLSTACK DATA SCIENTIST | DEEP LEARNING | ECOMMERCE

13/09/2022

Milano

Job description

Techyon is the first Head Hunter specialising exclusively in the search and selection of senior professionals and managers in the Information Technology field. Our Recruitment Engineers select the best IT profiles for prestigious IT consulting firms, banks, service companies, manufacturing groups, start-ups of excellence and digital DNA companies.

About the Company: for an important fresh food online retailer based in Milan, our Recruitment Engineers are looking for a Senior Fullstack Data Scientist.

 

Responsibilities:
  • Supervise quality and time of cross-project data team activities.

  • Support Product Owner and Team in translating business requirements into technical tasks and support in defining the technological solution and any methods of interaction with software platforms.

  • Support CTO in overseeing the process of continuous improvement of tools, processes and skills of the data team.

  • Design and co-develop end-to-end solutions: data ingestion, data storage, query & processing, data transformation and analysis / consumption of outputs.

  • Design and co-develop machine learning / data science solutions: predictive algorithms, recommendation engine, search engine, etc.

  • Support the team in the execution of operational tasks ensuring time / quality but also motivation and a sense of responsibility in the team.

Job requirements

Must have:
  • Good Knowledge of SQL and Python.

  • BS or MS degree in Math, Economics, Engineering, Statistics.

  • 5+ years of working experience in statistical modeling, data mining, and analytics techniques and strong mathematical background.

  • 5+ years of working experience with at least one of the following tools/libraries: for data ingestion and transportation(AWS Kinesis, Airflow, DBT, Kafka), for data storage (AWS S3, Snowflake, Deltalake), for data querying and processing (AWS Athena, Spark), for data transformation (DBT).

  • Working experience in design/implementation of Recommender Systems and Forecasting Algorithms.

  • Working experience with at least one of the following platforms is optional but appreciated: Databricks, Dataiku, H2O.ai.

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Knowledge of main Deep Learning applications (NLP, Computer Vision, Prediction/Forecasting).

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Other info

Location: Cassina de' Pecchi (MI), with flexible smart working.

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