Senior Data Scientist (P3358)

84.51°•Cincinnati, OH

4h•Onsite

About The Position

We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio—including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.

Requirements

Bachelor’s degree in Data Science, ML, Computer Science, or a related discipline
3+ years of hands-on experience in data science or machine learning roles
3+ years’ experience building in Python using big data tools (e.g. Hadoop, Databricks)
Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture
Experience applying embeddings within AI projects and machine learning applications
Track record of shipping, measuring, and maintaining machine learning models in production
Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
Experience in stakeholder management, technical documentation creation, and cross-functional collaboration

Nice To Haves

Experience building in cloud data platforms (i.e. Azure, GCP)
Previous developer relations, technical evangelism, or advocacy experience
Background in NLP, conversational AI, or generative AI applications
Open-source contributions or thought leadership in AI/ML community

Responsibilities

Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.
Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.
Design and execute proof of concepts to demonstrate feasibility for specific business problems.
Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.
Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.
Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.
Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.
Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.
Troubleshoot integration challenges and provide technical guidance for model integrations.
Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.
Create documentation, user guides, and best practices for internal model adoption and usage.
Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.

Benefits

Medical: with competitive plan designs and support for self-care, wellness and mental health.
Dental: with in-network and out-of-network benefit.
Vision: with in-network and out-of-network benefit.
401(k) with Roth option and matching contribution.
Health Savings Account with matching contribution (requires participation in qualifying medical plan).
AD&D and supplemental insurance options to help ensure additional protection for you.
Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
Paid leave for maternity, paternity and family care instances.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume