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.

Drive and deliver business results with data-based insights!

We are looking for a Senior Data Scientist who will utilize their ability to work with complex data, formal Data Science training, and strong problem solving skills to help solve complex business challenges.

Your Life As A Maven:

• Leverage data to drive business solutions and project deliverables for enterprise clients.
• Assist clients in building Data Science ML/AI Capabilities in the Cloud (GCP, AWS, Azure).
• Engage with clients about internal problems and offer solutions.
• Implement end to end solutions, and  bring in other teams as necessary.
• Handle most of the delivery on the Data Science team, and interact with other Maven Wave team’s data science tasks.
• Develop custom, or improve existing, data science models using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Work on hybrid Engineering, Data Science, Cloud Architecture teams to deliver business value.
• Ability to translate to and from business objectives and technology approaches. 
• Ability to communicate effectively to both technical and business audiences.
• Contribute to open source efforts and general communities of excellence.

Your Expertise:

• 7+ years of experience working with data and delivering data science solutions.
• Cloud experience in a major platform, such as AWS, GCP, or Azure.
• Experience using Python to help solve Data Science problems.
• Knowledge of a variety of Machine Learning and advanced analytical techniques and their real world advantages/drawbacks.
• Familiarity with the following software/tools: Python, R, Jupyter Notebooks, SQL, ML platforms (GCP Vertex AI, AWS Sagemaker, H2O, DataRobot, SAS, SPSS), Data Pipelines and orchestration (Spark, Airflow, CI/CD), and visualization (Looker, Tableau, qlikview).
• Understanding concepts and tools of MLOps and model orchestration including tools like MLFlow and Kubeflow.
• Familiarity with AI Principles, Governances, and Model Bias.
• Must have a Bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or a related field.

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