Senior Associate, Data Scientist - AI Enablement
Atlanta, Georgia, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Candidates must be legally authorized to work in the United States without current or future employer sponsorship.
Read the full posting
What you’ll work on
Full postingSupport cloud-based AI infrastructure, including solution architecture, integrations, access controls, monitoring, security, responsible-AI practices, and production support.
From the employer’s posting
Design, prototype, test, and productionize AI-enabled and agentic workflows that automate repeatable business processes, including intake, triage, research, document review, retrieval, drafting, quality assurance, and escalation. Support cloud-based AI infrastructure, including solution architecture, integrations, access controls, monitoring, security, responsible-AI practices, and production support. Partner with IT and practice teams to translate business and client requirements into scalable data and AI solutions, coordinating access, configuration, deployment, troubleshooting, and handoffs.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative or technical discipline.
- 2–4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment.
- Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows.
- Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support.
Qualification wording
Bachelor’s or master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative or technical discipline.
2–4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment.
Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows.
Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support. AWS certification is strongly preferred; relevant certifications include AWS Certified
Education & alternatives
Qualifications - Bachelor’s or master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative or technical discipline. - 2–4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment.
Tools in this posting
- AWS
- Databricks
- Power BI
Source — Tool mentions in context
- Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows. - Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support. AWS certification is strongly preferred; relevant certifications include AWS Certified A rewarding career above all
- 2–4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment. - Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows. - Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support. AWS certification is strongly preferred; relevant certifications include AWS Certified
About Secretariat
Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.
In the employer’s words · Read in context
Job description
From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat.
Candidates must be legally authorized to work in the United States without current or future employer sponsorship.
ABOUT THE FIRM
Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.
When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one – working with the world’s most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions.
Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and – most importantly – you.
Make your impact at Secretariat.
ABOUT OUR DATA SCIENCE – AI ENABLEMENT TEAM
Secretariat is seeking a Data Scientist to support both client-facing analytics and the firm’s internal AI initiatives. This role will help design, build, and operationalize data and AI solutions that improve analytical delivery, strengthen internal capability, and support secure, governed use of emerging technologies.
Responsibilities
- Develop and support client-facing analytics solutions, including business-intelligence dashboards, data models, large-scale data-processing workflows, and analytical deliverables, in partnership with engagement teams.
- Build, enhance, and support the firm’s internal AI capabilities, including AI-enabled assistant tools, domain-specific analytical applications, and other large language model-powered solutions.
- Design, prototype, test, and productionize AI-enabled and agentic workflows that automate repeatable business processes, including intake, triage, research, document review, retrieval, drafting, quality assurance, and escalation.
- Support cloud-based AI infrastructure, including solution architecture, integrations, access controls, monitoring, security, responsible-AI practices, and production support.
- Partner with IT and practice teams to translate business and client requirements into scalable data and AI solutions, coordinating access, configuration, deployment, troubleshooting, and handoffs.
- Document solutions, workflows, and runbooks; monitor adoption and performance; and identify opportunities to strengthen internal AI capabilities, improve scalability, and support secure production use.
Qualifications
- Bachelor’s or master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative or technical discipline.
- 2–4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment.
- Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows.
- Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support. AWS certification is strongly preferred; relevant certifications include AWS Certified
A rewarding career above all
There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure.
Our culture and people are driven by passion, pride, and performance. Passion for the clients we serve, the work we deliver, and the communities we live in. Pride in our cohesive team recognized for excellence and trusted to perform in the most challenging situations. And our track record of outstanding performance across all of our disciplines speaks for itself.
Our people are motivated to be the best in everything they do – from our approach to making the complex simple to the way we mentor our up-and-coming talent to become trusted experts early in their careers.
To learn how Secretariat collects, uses, and protects your personal information during the recruitment process, please review our Privacy Policy
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Atlanta, Georgia, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. ABOUT THE FIRM
- Status in our records
- Active
- First seen by us
- Oct 8, 2026
- Recorded sightings
- 3
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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