Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
About the role
- Senior Manager overseeing AI and Data Engineering in a hybrid role within Ryan's tax.com division. Responsible for technical solutions and managing high-performing teams in data science and ML.
Responsibilities
- Overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets
- Executing and participating in the data vision
- Building out robust, high-performance technology solutions
- Mixing strong hands-on technical leadership with the management of matrixed resources, and multiple teams
- Developing code and developing the skills and competencies of the team
- Leading an agile team to design, develop, test, implement and support highly scalable AI/ML solutions
- Collaborating with product teams and clients to deliver robust cloud-based AI/ML solutions that drive tax decisions
- Analyzing user feedback and activity to improve services and user experience
- Ensuring data implementations align with technological trends and business needs
- Performing unit tests and conducting code reviews to ensure solutions are designed and coded effectively
- Championing a culture of innovation and encouraging team collaboration and self-organization.
Requirements
- Bachelor’s and/or Master’s degree in a related field
- 7+ years of professional experience in data science, machine learning, or applied analytics
- Proven experience leading high-performing teams of data scientists, ML engineers, data engineers, or other data and analytics professionals
- Hands-on experience designing, building, and deploying enterprise ML solutions to production, including end-to-end model lifecycle ownership (not prototypes only)
- Strong coding experience in Python (required) with experience overseeing or contributing to solutions written in Java, Scala, or C
- Direct experience building cloud-based data and ML solutions using AWS or Azure
- Experience designing, deploying, and maintaining production data pipelines
- Hands-on experience with at least one ML framework, such as TensorFlow, PyTorch, or Scikit-learn
- Strong system and data architecture skills, including the ability to design ML systems, create data models, develop architecture diagrams, and define system components
- Experience working in mixed Windows and Linux environments.
Benefits
- Hybrid Work Options
- Award-Winning Culture
- Generous Personal Time Off (PTO)
- 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
- Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
- Benefits Eligibility Effective Day One
- 401K with Employer Match
- Tuition Reimbursement After One Year of Service
- Fertility Assistance Program
- Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service
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