Payrate: $41.00 - $43.00/hr.

Summary:
In this role, you will help build and scale the Neural Nexus Platform, an enterprise data and AI capability that transforms complex information into trusted, actionable business insights. You will build data pipelines that integrate structured and unstructured data into executive dashboards and analytical products. You will also prototype and productionize AI agents that synthesize information, identify trends, answer business questions, and support executive decision-making.

Responsibilities:

Design and maintain scalable data pipelines, curated datasets, and reporting layers using SQL, Python, Databricks, APIs, and cloud-based platforms.
Integrate and process structured and unstructured data from databases, enterprise systems, documents, presentations, collaboration platforms, and external sources.
Create trusted data models that support executive dashboards, scorecards, and recurring business reviews.
Partner with business and technical stakeholders to translate business questions into practical data, analytics, and AI solutions.
Prototype and deploy AI agents using large language models, retrieval-augmented generation, semantic search, and workflow orchestration.
Establish data-quality controls, AI evaluation methods, monitoring, access controls, and responsible-AI guardrails.
Apply software engineering best practices, including automated testing, version control, CI/CD, documentation, and production monitoring.
Communicate technical recommendations and business insights clearly while providing effective documentation and knowledge transfer.

Qualifications:

Doctorate degree and 2 years of relevant experience; Master’s degree and 4 years of relevant experience; or Bachelor’s degree and 6 years of relevant experience.
Experience working within a cross-functional digital product team and collaborating with product managers, designers, engineers, data scientists, and business stakeholders to deliver and continuously improve data and AI products.
Advanced proficiency in SQL and Python for data engineering, automation, analytics, and AI development.
Hands-on experience with Databricks or a comparable platform, including ETL/ELT workflows, Delta Lake, Apache Spark or PySpark, and cloud data architecture.
Experience developing analytical data models and executive dashboards using Power BI, Tableau, or similar tools.
Experience processing unstructured data and developing AI agents using large language models, retrieval-augmented generation, embeddings, vector search, and tool calling.
Experience moving data and AI solutions from rapid prototype to secure, scalable, and monitored production deployment.
Familiarity with Azure, AWS, or Google Cloud, as well as Git, automated testing, CI/CD, and data governance practices.

Skills:

Strong communication and data-storytelling skills, with the ability to work independently, manage ambiguity, and engage executive audiences.
Experience in pharmaceutical, biotechnology, healthcare, or another regulated environment is preferred.

Pay Transparency: The typical base pay for this role across the U.S. is: $41.00 - $43.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

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Data Scientist

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