Digital Transformation Data Scientist

hace 1 día


San Francisco, Heredia, Costa Rica Servicenow A tiempo completo
About Us

At ServiceNow, our technology enables the world to work for everyone. We move at an incredible pace because we know that time is of the essence, and our innovative solutions empower our customers and communities. By joining ServiceNow, you become part of a team of visionaries who are driven by curiosity and a passion for ingenuity. We understand that your best work happens when you thrive in your personal life and share your unique talents with us. To make this possible, we strive to provide an environment where you can live your best life and support each other's dreams. Together, we dream big and work towards making our collective aspirations a reality. The future belongs to us, and it starts with you.

Our Mission

We proudly serve over 7,700+ customers worldwide, representing approximately 85% of the Fortune 500 companies. We're honored to be one of FORTUNE 100 Best Companies to Work For and World's Most Admired Companies.

About This Role

This role involves analyzing various data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build predictive models and recommendation engines. You will collaborate closely with the Data Engineering team to identify, clean, and integrate data into our destination stores.

Key Responsibilities:
  • Work with stakeholders, vendors, and the Data team to identify relevant data points, KPIs, and sources.
  • Develop models for predictions, propensity, and reporting on marketing and sales data from online and offline sources to enhance marketing and sales efforts.
  • Achieve data exploration, cleaning, and analysis through innovative architectural approaches.
  • Play a vital role in developing the architecture for managing data flow, storage, and analytics/data science infrastructure.
  • Assist in identifying and experimenting with multi-variate testing to pilot new programs and justify changes to existing workflows and audience/segment building.
  • Create compelling visualizations and dashboards to surface key insights.
  • Maintain data quality and address any potential issues or concerns.

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