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.

　　With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

　　Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

　　Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

　　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 dataBuild models for predictions, propensity and reporting on marketing and sales data from online and offline source to progress marketing and sales effortsArchitect data exploration, cleaning, and analysisBe vital in developing the architecture for how we manage the dataflow, storage, and analytics/ data science infrastructureAssist in identifying and experimenting with multi-variate testing to pilot new programs and justify changes to existing workflows and audience/segment buildingCreate visualizations and dashboards to surface dataMonitor for, and address potential issues or concerns, ensuring data quality and any variancesQualifications

　　Qualifications:

　　To be successful in this role you have:5+ years in an enterprise data environment, 3+ in Data Science RoleExpertise in data mining, machine learning, statistical modeling, and deriving insights from user behavior data in the form of digital event streamsExperience 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-learnETL, ELT of data from multiple sources and formats (CSV, XLS, JSON, Parquet) into final datastore, and monitor fail rate and impactProficient in various scripting languages and technology to enable automation of data processesExperience with building and present with data visualization toolsHands 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 organizedRepresent digital marketing perspectives in technical meetings with all stakeholdersHigh capacity for problem solving and passion for learning new and rolling out new technologiesComfort with business analytics and producing data-driven insights and reportingNice to Haves:Experience with automation and scheduling tools like Airflow is a huge plusExperience with streaming and batch analytics (AWS SQS, Spark, Kafka)Experience building/ maintaining data pipeline preferably on a cloud platform such as Snowflake or AWSMarketo or MAP experience is a plus but not requiredMSFT Dynamics or CRM experience is a plus but not requiredAdobe Experience Platform experience is a plus but not requiredExperience 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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