Responsibilities:
Drive the full lifecycle of Data Science projects: from gathering and understanding the end-user needs to implement a fully automated solution.
Develop and provision of Data pipelines to enable self-service reports and dashboards.
Deploy techniques to answer the appropriate business problems using R or Python.
Visualize data using Tableau and create repeatable visual analysis for end users to use as tools.
Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.
Requirements:
Must have completed education from Bachelors, Masters or PHDs from Computer Science, Social Sciences, Physical Sciences, Statistics, Mathematics, Computer Engineering and any related field.
4+ years of experience in building out scalable and reliable ETL/ELT pipelines and processes to ingest data from a variety of data sources, preferably in the ecommerce retail industry.
Deep understanding of Relational Database Management Systems (RDBMS) (e.g. PostgreSQL, MySQL), No-SQL Databases (e.g. MongoDB, ElasticSearch) and hands-on experience in implementation and performance tuning of MPP databases (e.g. BigQuery).
Experience with Tableau, Power BI, Superset or any standard data visualization tools.
Strong proficiency in writing production-quality code preferable in R/Python, engineering experience with machine learning projects like Time Series Forecasting, Classification and Optimization problems.
Experience administering and deploying CI/CD tools (e.g. Git, Jira, Jenkins), Industrialization (e.g. Ansible, Terraform), Workflow Management (e.g. Airflow, Jenkins, Luigi) in Linux operating system environments.
Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results.
Solid experience in GCP.
E-commerce/logistics/fashion retail background a bonus.#J-18808-Ljbffr