Job Title: Data Scientist
Hybrid: 3 Days Onsite Each Week
Location: Cincinnati, OH
Interview Process: One round onsite
Compensation: $70/Hour
Seeking a seasoned Data Scientist/ML Engineer with a minimum of 5+ years’ experience to join our fortune 50 clients innovative Software Delivery team. This is a hybrid role, based in Cincinnati, Ohio, with 3 days on-site weekly, and a competitive hourly compensation of $70. Please note that interviews will be conducted onsite in Cincinnati, so if you’re located outside the area, you would need the ability to come in for a one time, onsite interview.
About the Role:
As a Data Scientist, you’ll work on building and refining toolkits, pipelines, models, and dashboards that directly impact the clients Fulfillment Services Platform. You’ll evaluate and optimize existing ML processes, troubleshoot data set issues, and collaborate with a diverse team of engineers to implement cloud-native solutions that drive fulfillment efficiencies.
Key Responsibilities Include:
- Designing and developing ML and deep learning systems, running experiments, and applying ML algorithms.
- Collaborating closely with solution architects, data scientists, and product managers to refine our clients data strategy for fulfillment services.
- Building standards and processes to ensure top-notch data quality and user experience.
- Continuously improving software delivery practices and contributing to an inclusive and agile team environment.
Key Requirements:
- 5+ years as a Data Scientist/ML Engineer with strong independence in developing toolkits and pipelines.
- Experience with scalable cloud architectures (AWS, Azure, GCP) and MLOps.
- Familiarity with ML frameworks, CI/CD, and containerization technologies.
- Proficiency in Python, Java, or similar languages, with strong analytical and problem-solving skills.
Bonus Skills:
- Certifications such as Microsoft Azure Data Scientist Associate.
- Experience with Azure Databricks, Power BI, combinatorial optimization, or familiarity with the retail industry.
