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Google Internship Data Science Jobs in Tennessee

Pwc

AI & GenAI Data Scientist-Director

Nashville, TN · On-site

$155K - $410K/yr

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

Deloitte

Cyber - Google SecOps - Manager

Memphis, TN · On-site

Leading end-to-end deployment of log ingestion pipelines using data fabric technologies and ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or another technical ...

Deloitte

Cyber - SecOps - Consultant

Nashville, TN · On-site

... data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS Security Lake, Google ...

Deloitte

Cyber - SecOps - Consultant

Memphis, TN · On-site

... data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS Security Lake, Google ...

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Google Internship Data Science information

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What are popular job titles related to Google Internship Data Science jobs in Tennessee? For Google Internship Data Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Tennessee look for? The top searched job categories for Google Internship Data Science jobs in Tennessee are:
What cities in Tennessee are hiring for Google Internship Data Science jobs? Cities in Tennessee with the most Google Internship Data Science job openings:
Google Internship Data Science jobs near you

Agentic AI Scientist - Office of Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 23 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

40th of 1,054 rated hospitals

Job description

St. Jude Children's Research Hospital is where those with a passion for making a difference come to break new ground. Located in Memphis, Tennessee, St. Jude leads the way the world understands, treats, and defeats childhood cancer and other life-threatening diseases through groundbreaking research and compassionate care.
The Office of Data Science (ODS; www.stjude.org/ods) at St. Jude institutionalizes and expands data science capabilities to unlock the vast potential of St. Jude's biological data repositories. With a vision for St. Jude to become a global leader in applying data science to biological discovery, the ODS is creating a seamless ecosystem where experimental, clinical, and data scientists collaborate to accelerate discoveries, support scientific initiatives, and advance the understanding and treatment of pediatric catastrophic diseases.
The ODS is seeking a skilled and collaborative Agentic AI Scientist to lead the design, development, and evaluation of agentic AI systems that support research and operational workflows across the Office of Data Science. This role will focus on building and orchestrating advanced LLM-based agents, developing secure and interoperable infrastructure, and translating emerging AI capabilities into practical, high-impact solutions. The successful candidate will also contribute to technical reporting, results evaluation, and staff guidance to promote responsible and effective adoption of agentic AI. The position reports to the Chief of Artificial Intelligence.
Responsibilities
  • Lead computationally focused agentic-AI research and engineering projects with moderate supervision from the manager; provide inputs on analytical approaches, set up experiments, and develop new agentic methods with manager input.
  • Design and orchestrate agent systems (agent hierarchies, tool use, handoffs, checkpointing, and human-in-the-loop control) over ODS data and tools.
  • Stand up and maintain MCP servers/clients and A2A-interoperable agents that connect ODS assets (e.g., St. Jude Cloud, internal warehouses, planning systems) under secure, auditable, HIPAA-aligned patterns.
  • Identify, process, organize, summarize, review, and report results; instrument every agent with tracing, evaluations, and cost/latency budgets.
  • Draft manuscripts and technical reports and work through submission and internal review with manager input; instruct and guide other staff in agentic-AI techniques.
  • Mentor others in agentic AI best practices and standards

Qualifications
  • Minimum: Bachelor's in Computer Science, Bioinformatics, Biomedical Engineering, or a related field with 6+ years of relevant experience (OR) Master's with 4+ years (OR) entry-level PhD with no work experience. (PhD requirement waived, given an extraordinarily unusual level of scientific contribution.)
  • Publication benchmark: 1 to 2 first-author papers with a journal impact factor > 5 (or equivalent contribution to other research / open-source outputs).
  • Preferred: prior applied-ML or agentic-AI research; demonstrated shipping of LLM-integrated systems; healthcare, biomedical, or other research-intensive domain experience.
  • Experience in project coordination, maintenance, and other research support activities preferred.

Preferred Technical / Functional Requirements (Agentic AI specialization):
Depth in at least one item per row; working awareness across the row. (Named technologies are illustrative examples, not a required stack.)
  • Agent frameworks. Production depth in at least one framework (e.g., LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, Microsoft Agent Framework, Pydantic AI, LlamaIndex, Strands, Haystack, DSPy, Agno).
  • Interoperability protocols. Author and operate MCP (Model Context Protocol) servers, clients, and tools, including its core primitives (prompts, tools, resources) over JSON-RPC with OAuth 2.1 authorization; build A2A (Agent2Agent) interoperable agents; awareness of emerging agent standards (e.g., AG-UI, AGNTCY/OASF, MIT NANDA registry/discovery).
  • Orchestration & control loop. The agent harness: model-output parsing, tool dispatch, context-window management, and enforcement of stop conditions, budgets, and safety boundaries; multi-agent topologies (e.g., hierarchy, swarm, graph); checkpointing and human-in-the-loop; composable, loadable agent capabilities (e.g., Agent Skills).
  • Evaluation & observability. Tracing (e.g., OpenTelemetry), offline and online evaluation (e.g., LLM-as-judge), guardrails, and red-teaming, with observability tooling (e.g., LangSmith, Langfuse, Arize Phoenix, Microsoft Foundry Observability).
  • Identity, security & deployment. Agent identity and authorization (e.g., Microsoft Entra Agent ID, Okta / Auth0 for AI Agents, On-Behalf-Of token exchange), RBAC/SSO, sandboxed execution (e.g., E2B, Modal, Firecracker microVM), and private/secure LLM deployment patterns (HIPAA-aligned, auditable, on-prem/VPC; cf. the GPT4DFCI pattern).
  • Engineering hygiene. Strong Python; version control, tests, CI, reproducible eval harnesses; retrieval and context engineering (e.g., embeddings and vector search with pgvector or Pinecone, RAG, GraphRAG, cache-augmented generation / CAG, agentic RAG, recursive language models / RLM).

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Agentic AI Scientist - Office of Data Science.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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