Data Scientist
Fieldguide- Full Time
- Junior (1 to 2 years)
Candidates should possess at least 5 years of experience in data science, with a strong foundation in machine learning, statistics, and data manipulation, along with 2+ years in a leadership or team lead role. Advanced proficiency in Python, R, and SQL is required, complemented by skills in Tableau, Power BI, or Looker Studio, and familiarity with ETL pipelines and data warehousing concepts. Experience with Jupyter Notebooks, Git, and Agile workflows is also necessary, as is excellent communication skills. A degree in Statistics, Data Science, Applied Math, or a related field is required, and experience with Google Cloud Platform (GCP) including BigQuery, Google Cloud Storage, Vertex AI, Google Colab, Looker Studio, Analytics 360, GA4, Google Tag Manager, Google Ad Manager, Apache Airflow, Databricks, data modeling, and database design is essential.
The Data Scientist will deliver daily insights by developing predictive models and advanced analytics to uncover user behaviors and content trends, build and maintain scalable data pipelines, reporting tools, and dashboards, collaborate across editorial, marketing, and commercial teams to deliver data-driven strategies, champion A/B testing and experimentation frameworks to optimize content performance, contribute to the architecture and integrity of the data warehouse, and conduct ad-hoc analysis and deliver actionable insights to non-technical stakeholders.
AI-powered marketing automation for e-commerce
Connectly.ai automates sales and marketing for e-commerce businesses through its AI-powered platform, Sofia AI. This platform integrates with popular e-commerce systems like Shopify and Vtex, allowing for automated, personalized conversations with customers across various channels. Connectly.ai stands out by significantly reducing time spent on administrative tasks and improving the sales closing process. The company's goal is to enhance efficiency and sales for e-commerce businesses.