Sr Data Scientist, Digital Experience Platform

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

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Job Description

Role:

We are seeking an experienced Data Scientist to join our fast-paced, groundbreaking Digital Experience Platform Organization (DXP). The role requires knowledge of statistics and languages that include Python and SQL as well experience with platforms like Adobe Experience Platform, BigQuery and Snowflake. This candidate will be instrumental in providing insight into our B2C and B2B lead and sales enterprise data.

Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.

The ideal candidate will have knowledge of data schema and integrations between multiple platforms (Adobe Audience Manager, Adobe Analytics, GA360, Google Campaign Manager, SA360, DV360, Marketo, Liveramp, etc.) and dataflow management (Airflow, SQS)

What you get to do in this role:

• Work with Data team, stakeholders, and vendors to identify data points, KPIs and sources of relevant data
• Build models for predictions, propensity and reporting on marketing and sales data from online and offline source to progress marketing and sales efforts
• Architect data exploration, cleaning, and analysis
• Be vital in developing the architecture for how we manage the dataflow, 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 visualizations and dashboards to surface data
• Monitor for, and address potential issues or concerns, ensuring data quality and any variances

Qualifications

Qualifications:

To be successful in this role you have:

• 5+ years in an enterprise data environment, 3+ in Data Science Role
• Expertise in data mining, machine learning, statistical modeling, and deriving insights from user behavior data in the form of digital event streams
• Experience in SQL, writing sophisticated queries and stored procedures (Oracle, Amazon RDS MySQL, Snowflake, Hive, etc.)
• Proficiency in Python and hands on experience using relevant Python libraries for retrieving and transforming data such as Pandas, Request, JSON, etc.
• Have worked extensively with relevant Python ML libraries: NumPy and SciPy, Scikit-learn
• ETL, ELT of data from multiple sources and formats (CSV, XLS, JSON, Parquet) into final datastore, and monitor fail rate and impact
• Proficient in various scripting languages and technology to enable automation of data processes
• Experience with building and present with data visualization tools
• Hands on experience working with Google Ad Suite (GCM, DV360, SA360, GA360) and integrating third party vendors like LiveRamp, Eloqua, Marketo, Tableau, etc.
• Experience influencing product decisions with data.
• Excellent attention to detail and exceedingly organized
• Represent digital marketing perspectives in technical meetings with all stakeholders
• High capacity for problem solving and passion for learning new and rolling out new technologies
• Comfort with business analytics and producing data-driven insights and reporting

• Nice to Haves:

• Experience with automation and scheduling tools like Airflow is a huge plus
• Experience with streaming and batch analytics (AWS SQS, Spark, Kafka)
• Experience building/ maintaining data pipeline preferably on a cloud platform such as Snowflake or AWS
• Marketo or MAP experience is a plus but not required
• MSFT Dynamics or CRM experience is a plus but not required
• Adobe Experience Platform experience is a plus but not required
• Experience building ETL pipelines (on cloud or on premise)

JV19

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

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