Remote Data Scientist - GCP Python, SQL (AU Media, WFH)

Description:

• We are seeking an experienced data scientist to deliver insights daily, with a strong foundation in machine learning, statistics, and data manipulation.
• The ideal candidate will have 5+ years in data science and 2+ years in a leadership or team lead role.
• Advanced proficiency in Python, R, and SQL is required, along with skills in Tableau, Power BI, or Looker Studio.
• Familiarity with ETL pipelines and data warehousing concepts is essential.
• Experience with Jupyter Notebooks, Git, and Agile workflows is necessary.
• Excellent communication skills are required to explain complex insights to non-technical stakeholders.
• A degree in Statistics, Data Science, Applied Math, or a related field is mandatory.
• Knowledge of Google Cloud Platform (GCP) tools such as BigQuery, Google Cloud Storage, Vertex AI, Google Colab, Looker Studio, Analytics 360, GA4, Google Tag Manager, and Google Ad Manager is essential.
• Experience with Apache Airflow, Databricks, data modeling, and database design, including partitioning strategies for large tables, is required.
• The candidate will lead the development of predictive models and advanced analytics to uncover user behaviors and content trends.
• Responsibilities include building and maintaining scalable data pipelines, reporting tools, and dashboards.
• The role involves collaborating across editorial, marketing, and commercial teams to deliver data-driven strategies.
• The candidate will champion A/B testing and experimentation frameworks to optimize content performance and contribute to the architecture and integrity of the data warehouse.
• Conducting ad-hoc analysis and delivering actionable insights to non-technical stakeholders is also part of the job.

Requirements:

• Candidates must have 5+ years of experience in data science and 2+ years in a leadership or team lead role.
• Advanced proficiency in Python, R, and SQL is required.
• Candidates should be skilled with Tableau, Power BI, or Looker Studio.
• Familiarity with ETL pipelines and data warehousing concepts is necessary.
• Experience with Jupyter Notebooks, Git, and Agile workflows is essential.
• Excellent communication skills are required to explain complex insights to anyone.
• A degree in Statistics, Data Science, Applied Math, or a related field is mandatory.
• Knowledge of Google Cloud Platform (GCP) tools, including BigQuery, Google Cloud Storage, Vertex AI, Google Colab, Looker Studio, Analytics 360, GA4, Google Tag Manager, and Google Ad Manager, is essential.
• Experience with Apache Airflow and Databricks is required.
• Candidates must have experience in data modeling and database design, including partitioning strategies for large tables.
• Knowledge of GCP security, monitoring, and maintenance is necessary.

Benefits:

• The position offers a work-from-home arrangement.
• Medical, dental coverage, and life insurance are provided from day one of employment.
• Paid vacation and sick leave are included, with quarterly sick leave conversion.
• A competitive salary package and annual appraisal are offered.
• A financial assistance program is available.
• Mandatory government benefits and a 13th-month pay are included.
• Employees can enjoy regular company events, work-life balance, and career growth opportunities.