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Machine Learning Data Engineer Lead

| Chicago | Hybrid
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This position reports to: Director, Data Science

ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before. 

We’re disruptive.  We work hard but try not to take ourselves too seriously.  We are highly adaptable and constantly evolving.  We are passionate about our product, and we live for our customers.  We have high expectations and a career at ServiceNow means challenging yourself to always be better. 

We have data! We need you to help translate it into actionable insights that help us grow even faster. We have a team of Data Scientists that serve our internal business departments in analyzing data from across the company to help them meet their goals.

Responsibilities:

Ensure the Machine Learning team meets the needs of our internal and external customers by supplying the data and processes needed to train, score, and scale robust ML models.  You will:

  • Lead and grow a team of exceptional ML Data Engineers, focusing on enhancing, measuring, and recognizing performance.
  • Drive the technical and organizational roadmap for the ML Data Engineer team.
  • Facilitate and participate in the preparation of ML data sets and scoring processes.
  • Develop and maintain a knowledge of real-time and snapshotted data scources from across the company, as well as Analytics team members responsible for various sources.
  • Work with the Data Integrations team and Data Architects to develop and implement key decisions on scalable, reliable, and cost-effective ML Data Engineering solutions, including Data Warehouse, Data Lakes, and ML Model interfaces
  • Explore vendor solutions to streamline and expedite ML Data preparation, scoring processes, ML model evaluation, and ML Operations functions
  • Implement data capture and optimization for tracking historic model performance, ML data input changes over time, and ML score changes over time
  • Develop and support the ML portion of the Enterprise Data Platform strategy to maximize the distribution of ML predictions and recommendations, including API-based ML scoring and data warehouse-based access
  • Incorporate workflows into ML Data Engineering processes, to automate, monitor, and produce alerts
  • Guide the ML Data Engineer team in implementing performance tuning and query optimization
  • Act as a resource to the Machine Learning team with regards to Data Lifecycle Management
  • Represent ML deployments in the Analytics Review Committee to shepherd Machine Learning projects through the process
  • Collaborate with Analytics team members to promote the ML model results available to the business, the value that the results represent, the underlying table formats and the table contents

Requirements:

  • 3+ years of experience managing a team of data engineers.
  • Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar. Masters degree preferred.
  • 7+ years of documented experience as a SQL developer in data warehouse technologies.
  • Experience using Airflow, Spark, and/or Python in a commercial setting.
  • Experience with assembling and maintaining big data/very large ML data sets
  • Strong communication, presentation, and interpersonal skills. Ability to influence stakeholders and build cross-functional alignment.

Desired Skills:

  • SAP HANA, Databricks, Azure Data Lakes experience preferred.
  • Knowledge of business data and processes from more than one business department.
  • Experience with the ServiceNow platform, with an IT background, product usage experience, or with Software-as-a-Service experience

 

 

 

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. If you are an individual with a disability and 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.

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Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • ReactLibraries
    • Node.jsFrameworks
    • MariaDBDatabases
    • MongoDBDatabases
    • MySQLDatabases
    • PostgreSQLDatabases

Location

176 N Racine Ave, Chicago, IL 60607

An Insider's view of ServiceNow

What’s the vibe like in the office?

The culture at this company is to take people's uniqueness, their superpowers — who they are at their core — and figure out how to raise them up for their benefit and the company's benefit.

Christine

Vice President of AMS Solution Consulting

What does your typical day look like?

If I could clarify one thing about being an engineer, we're a lot more collaborative than people think. Engineers can be seen as always sitting by themselves in front of a computer in a dark room and code just streaming down it. However, we work closely with project managers and designers to create the best product for customers.

Viviana

Senior Machine Learning Engineer

How does the company support your career growth?

My experience with Launchpad was humbling and eye-opening. I connected with many other early career individuals and discussed imposter syndrome. Being able to voice that and not feel alone in that feeling, I was like, "Wow. I don't have to know everything." There's still room for me to grow, and there's grace there.

Alexander

Diversity and Inclusion Analyst

How do your team's ideas influence the company's direction?

In this expanding hybrid world, people conduct millions of transactions on a regular basis, creating more data and processes to manage. So, continuing to offer new solutions, while scaling to the expectations of the modern world, is a challenge we are excited to take on. We are driving new levels of productivity, automation, and innovation.

Pat

Chief Technology Officer

What does career growth look like on your team?

Since joining ServiceNow, I've built out my leadership team, and 60% are women. My goal for my team is to create opportunities and a platform to showcase the incredible impact that they're having on the business, whether that's having them lead a critical initiative with cross-functional visibility or present during a C-suite meeting.

Vanessa

President, ServiceNow.org

What are ServiceNow Perks + Benefits

ServiceNow Benefits Overview

We make work better for people—including our own. From work environments that help us do our best work, to benefits and a culture that encourage employees to stay healthy, happy, engaged, and growing, we keep our people at the center of everything we do.

Culture
Volunteer in local community
Open door policy
Open office floor plan
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid volunteer time
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Onsite gym
Professional Development Benefits
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Online course subscriptions available

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