Data Science Analyst Jobs in Austin, TX
Data Science Analyst jobs in Austin, Texas are concentrated in the Domain, Downtown, and the East Austin tech corridor, with strong demand across enterprise software, fintech, and healthcare analytics. Employers hiring right now include Apple, Amazon, and DoorDash. Find a role that fits below and apply directly.
Find Data Science Analyst JobsOverview
Open roles46
Top employerApple
Work type38% Remote
Top credentialBachelor's degree
Companies hiring12
Showing 5 of 46+ Data Science Analyst jobs
Senior Consultant, Data Science & AI
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Added 1d ago
TTEC Digital
Senior Consultant, Data Science & AI
Austin, Texas
Added 1d ago
2027 Summer Internship - Data Science
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Added 2d ago
Q2ebanking
2027 Summer Internship - Data Science
Austin, Texas
Added 2d ago
Tenure-Track/Tenured Faculty Positions in Statistics and Data Science (2026-2027)
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Added 3d ago
University of Texas at Austin
Tenure-Track/Tenured Faculty Positions in Statistics and Data Science (2026-2027)
Austin, Texas
Added 3d ago
Data Science / Structured Problem Solving Intern - Summer 2027
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Added 1w ago
NXP Semiconductors
Data Science / Structured Problem Solving Intern - Summer 2027
Austin, Texas
Added 1w ago
Lead iCloud Insights Engineer, Services Data Science & Analytics
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Added 1w ago
Apple
Lead iCloud Insights Engineer, Services Data Science & Analytics
Austin, Texas
Added 1w ago
Added 1d ago
Senior Consultant, Data Science & AI
TTEC Digital·Austin, Texas
Job functions:
$120k - $135k/yr
Remote (US)
1,001-5,000 employees
Job Description
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
The position of Senior Consultant - Data Science & AI is within the TTEC Digital Analytics team. The Analytics group is responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI (LLMs, RAG architectures) to convert raw, unstructured client data into actionable insights that drive strategic business decision-making.
Our Data Science & AI Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.
Key responsibilities
- Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
- Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data.
- Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation to solve complex client business challenges.
- Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
- Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
- Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
- Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
- Create solutions and design documentation for client data science architectures and ML pipelines.
- Work on projects independently as well as being part of a large team across multiple client engagements.
- Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
- Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
- Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.
Skills and Experience Requirements
- Post-Secondary Degree (or Diploma) related to Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field.
- 5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting.
- 3+ years of experience in an external client-facing consulting or professional services capacity.
- 3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred).
- 1–2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration).
- Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders.
- Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred).
- Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers
- Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration
- Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS
- SQL: Advanced query optimization for large-scale data warehouses
- Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment)
- Data Engineering & Orchestration: BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
- BI & Data Visualization Tools: Looker / Looker Studio, Tableau, or Power BI
- MarTech/AdTech Ecosystems
- Agile/Scrum Methodologies
- CI/CD & MLOps/LLMOps: Version control, automated deployment pipelines, LLM evaluation, and model monitoring tools
- Personal: Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results-oriented, resourceful, structured problem-solving ability, deal effectively with difficult client situations, ability to prioritize.
- Leadership: Ability to gain credibility, motivate, and provide leadership; work with a diverse external customer base; maintain a positive attitude. Provide technical support and guidance to more junior team members, particularly for challenging modeling or analytical assignments.
- Operations: Commercial acumen and ability to manage multiple projects simultaneously. Perform tasks in a client-friendly manner while utilizing time and resources efficiently, proactively managing project scope.
- Technical: Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.
#LI-BN1
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
Benefits available to eligible employees include the following:
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
TTEC Digital
Senior Consultant, Data Science & AI
Austin, Texas
Added 1d ago1,001-5,000 employees
Job functions:
$120k - $135k/yr
Remote (US)
Job Description
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
The position of Senior Consultant - Data Science & AI is within the TTEC Digital Analytics team. The Analytics group is responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI (LLMs, RAG architectures) to convert raw, unstructured client data into actionable insights that drive strategic business decision-making.
Our Data Science & AI Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.
Key responsibilities
- Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
- Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data.
- Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation to solve complex client business challenges.
- Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
- Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
- Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
- Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
- Create solutions and design documentation for client data science architectures and ML pipelines.
- Work on projects independently as well as being part of a large team across multiple client engagements.
- Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
- Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
- Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.
Skills and Experience Requirements
- Post-Secondary Degree (or Diploma) related to Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field.
- 5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting.
- 3+ years of experience in an external client-facing consulting or professional services capacity.
- 3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred).
- 1–2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration).
- Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders.
- Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred).
- Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers
- Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration
- Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS
- SQL: Advanced query optimization for large-scale data warehouses
- Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment)
- Data Engineering & Orchestration: BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
- BI & Data Visualization Tools: Looker / Looker Studio, Tableau, or Power BI
- MarTech/AdTech Ecosystems
- Agile/Scrum Methodologies
- CI/CD & MLOps/LLMOps: Version control, automated deployment pipelines, LLM evaluation, and model monitoring tools
- Personal: Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results-oriented, resourceful, structured problem-solving ability, deal effectively with difficult client situations, ability to prioritize.
- Leadership: Ability to gain credibility, motivate, and provide leadership; work with a diverse external customer base; maintain a positive attitude. Provide technical support and guidance to more junior team members, particularly for challenging modeling or analytical assignments.
- Operations: Commercial acumen and ability to manage multiple projects simultaneously. Perform tasks in a client-friendly manner while utilizing time and resources efficiently, proactively managing project scope.
- Technical: Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.
#LI-BN1
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
Benefits available to eligible employees include the following:
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 46 Data Science Analyst Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find Data Science Analyst JobsData Science Analyst Job Market in Austin
Who's Hiring
- Apple11
- Amazon8
- DoorDash3
- Meridial3
- SentiLink3
Top Industries Hiring
- Technology & Software
- Retail
- Education
- Electronics & Hardware
- Banking & Financial Services
Data Science Analyst Jobs in Austin: Frequently Asked Questions
How do I get a data science analyst job in Austin?
The strongest path into Austin's market is targeting the tech companies clustered in the Domain and the fintech and healthtech firms based downtown and in East Austin. Candidates who stand out locally combine Python or SQL proficiency with experience in product analytics or business intelligence. Tailoring your portfolio to Austin's dominant sectors, enterprise SaaS, financial services, and digital health, gives you a concrete edge over generalist applicants.
Which companies hire data science analysts in Austin?
Companies currently hiring data science analysts in Austin include Apple, Amazon, and DoorDash, per current listings on Migrate Mate as of September 2026. Austin's hiring landscape includes a mix of large tech firms anchored in the Domain, regional financial services companies, and fast-growing healthtech startups concentrated east of I-35.
Are there remote data science analyst jobs in Austin?
Yes, data science analyst work is well suited to remote and hybrid arrangements because the core tasks, modeling, querying, and reporting, are desk-based and deliverable-driven. About 62% of data science analyst openings tied to Austin are remote or hybrid as of September 2026, reflecting how tech-forward the local employer base is. Roles tied to real-time dashboards or cross-functional product teams in Austin tend to favor hybrid schedules over fully remote.
How can I get a data science analyst job in Austin with little or no experience?
The most realistic entry path in Austin is moving into a data science analyst role from a business analyst, reporting analyst, or data coordinator position at one of the city's many mid-size SaaS companies or health systems. Austin employers like regional banks, insurance firms, and growth-stage startups in the Domain frequently hire junior analysts who can demonstrate SQL fluency and a portfolio project. The University of Texas and Austin Community College also produce graduates that local employers actively recruit, so networking through those alumni channels accelerates the search.
Which industries hire the most data science analysts in Austin?
Most data science analyst openings in Austin sit in Technology & Software, Retail, and Education, per current listings on Migrate Mate as of September 2026. Austin's rapid growth as a technology and financial services hub, combined with a maturing healthtech ecosystem anchored by major hospital systems and digital health startups, keeps demand for data science analysts consistently high across those sectors.
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See All 46 Data Science Analyst Jobs in Austin
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