Senior Data Scientist - ML Operations

Who We Are!

At Maven Wave, we are relentless in hiring the industry’s top talent. Each employee is hand-picked not only for their skills, but for their personality and broad expertise. We are looking for this rare combination of talent that sets us apart in the industry.

Maven Wave helps leading companies make the shift to digital and shorten the fuse to innovation. We combine the expertise of top-tier consulting with the agility of a cutting-edge technology firm. This multidisciplinary blend of skills allows us to create unique digital advantages for our clients. Maven Wave’s digital solutions are agile, mobile, rooted in analytics, and built in the cloud.

Do you believe the most interesting challenges in Machine Learning are not discovering new models but getting existing ones into production faster? Do you want to work with companies across a variety of industries to get their models into production? Are you a Data, Machine Learning, or DevOps specialist? 

At Maven Wave, we’re hiring highly Machine Learning engineers to collaborate with our customers and partners in developing MLOps platforms. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. 

In this role, you will work with our partners, customers and build platforms in GCP, AWS, or hybrid cloud offerings.

Your Life As A Maven:

• Machine Learning engineers will collaborate with our customers and partners in developing MLOps platforms.
• Develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. 
• Work with our partners, customers and build platforms in GCP, AWS, or hybrid cloud offerings.
• Goal of the MLOps team is to take the data science work and push it into production.
• Data platform implementation.

Your Expertise:

• Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
• 7+ years of experience of Data platform implementation
• Hands on experience with building data or machine learning pipeline in tools like Kubeflow, TFX, Seldon Core, MLFlow
• Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc.)
• Strong familiarity with Data Science concepts
• Ability to understand / learn the infrastructure and data engineering requirements around MLOps and Modernization
• Some understanding of legacy Data Science tools like SPSS and SAS is a huge plus
• Current experience with hands-on implementation

Your X-Factor:

• Aptitude - You have an innate capacity to transition from project to project without skipping a beat.
• Communication - You have excellent written and verbal communication skills for coordination across projects and teams.
• Impact - You are a critical thinker with an emphasis on creativity and innovation.
• Passion - You have the drive to succeed paired with a continuous hunger to learn.
• Leadership - You are trusted, empathetic, accountable, and empower others around you.

Why We’re Proud To Be Mavens!  

• Google Cloud’s Technology Partner of the Year in Infrastructure, 2021
• AWS Mainframe Migration Competency Achievement, 2021
• Google Cloud Social Impact Partner of the Year, Atos, 2020
• Top Small Workplaces, Chicago Tribune, #33, 2020
• Crain’s Chicago Business Fast 50 List, #22, 2020
• Global Women in Telco and Tech Awards, Marketing or Social Campaign of the Year, 2020
• Great Place to Work and FORTUNE, Best Workplaces in Consulting and Professional Services, #9, 2020
• Inc. 5000 Series: Midwest List of Top Businesses, #118, 2020
• Built In Chicago’s Best Midsize Companies to Work for List
• Great Place to Work’s Best Workplaces in Chicago
• Great Place to Work Certified

Ready to Learn More?

• Digital Transformation at Maven Wave
• Check out our Data Analytics Team
• See what Glassdoor has to say
• Real Customer Stories