Data Scientist jobs in Dallas
34 current data scientist openings in Dallas, aggregated from public boards and linking straight to the employer's own posting. 27 employers are hiring across this list right now.
Working as a data scientist in Dallas
Corporate headquarters, telecoms and financial services, with no state income tax and housing costs far below the coasts. Strong for enterprise engineering, data and project management.
Most of the hiring in this list clusters around Uptown, Plano, Richardson and Las Colinas. Location on a posting is not always literal — check whether a role is genuinely on site, and whether "remote" means remote within the country or remote from anywhere, because the two are priced differently.
hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader wit…
Job Title: Data Scientist Location: Grand-Prairie, TX Experience with MES and SCADA is preferred but not required. Job Overview: Manufacturing 8 10 years in manufacturing…
Role: Data Scientist Location: Grand-Prairie, Texas 75050 Work Model: Onsite (4 days a week work from office Mon - Thu) Duration: Fulltime Employee Numbers of Interview :…
Job Description About This Role Smart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Sr./Lead Data Scientist who can fundamentally change how fa…
Role: Data Scientist Location: Grand-Prairie, Texas 75050 (Hybrid) Fulltime Must have skills: Minimum 5 years of experience (No limit for a right candidate) Strong in SQL…
To be noted: Due to the heightened security nature of this job, there will be a background check after two rounds before offer, then final interview with client. Please s…
Location: Irving, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description: Targeted Years of Experience: 7-10 years Location: Basking Ridge-NJ- - Alpharetta, Georgia…
Integrating the rosbag-to-COCO conversion pipeline into our workflows - Implementing 2D ? 3D projection mapping to integrate the auto-annotation pipeline - Maintaining an…
Roles & Responsibilities Translate approved business questions into testable hypotheses sized at one to three days with clear exit criteria and confidence levels. Design …
Role: AI/ML Data Scientist Location: Dallas, TX (Onsite) Key Responsibilities Translate business problems into well-defined machine learning and predictive modeling objec…
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make…
Introduction Launch your career like an IBMer Every IBMer has a story. For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll …
Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work A…
Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work A…
Role: Lead Data Scientist - Fraud Analytics Location: Dallas, TX (100% Onsite) Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analyt…
Description About This Role Smart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Sr./Lead Data Scientist who can fundamentally change how facili…
Your Tech Skills Are Still Relevant — Let’s Prove It ! Let’s Get you Hired with a Process Many job seekers assume their skills have expired simply because they’ve been ou…
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while livin…
Data Scientist Lead As our Lead Data Scientist, you will act as an internal business consultant to help optimize every facet of this organization. You will solve problems…
Data Scientist 2 As our Data Scientist 2 , you will act as an internal business consultant to help optimize every facet of this organization. You will solve problems and …
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while livin…
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while livin…
We Are: Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new oppo…
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised …
WHY UT SOUTHWESTERN? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a …
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Scien…
Data Scientist AI/ML Engineer – Agentic AI (AWS) - W2 Only Location: Onsite - Dallas, TX & Charlotte, NC Employment Type: Contract (W2 Only) Experience: 10 Years IT Exper…
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of busin…
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by…
Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contr…
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, an…
At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse …
Introduction Launch your?career like an IBMer Every IBMer has a story. For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll …
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team …
Data Scientist pay and hiring, asked properly
What salary can a data scientist expect?
In India, roughly 8–15 LPA early and 20–35 LPA at senior level in product companies; services firms pay materially less for the same title. The US band runs about $100,000–$160,000 mid-level, the UK £45,000–£75,000. The step change comes when a model you built is what a decision runs on, rather than a notebook nobody deployed.
What is the difference between a data scientist and a data analyst?
An analyst explains what happened; a scientist builds something that predicts or decides. Many companies use the titles interchangeably and treat 'scientist' as the senior band. The line that matters in hiring is whether you can take a model to production in Python, or stop at SQL and a dashboard.
Do I need a master's or a PhD?
For most product roles, no. A postgraduate degree helps for research positions and for some visa routes, and does very little in a first-round screen if your code is weak. What gets you shortlisted is two or three projects where you can state the metric, the baseline you beat, and what you would do differently.
Before you apply
- ›All data scientist openings — the same feed without the Dallas filter.
- ›Data Scientist resume example and template — the section order and the numbers this role is measured on.
- ›Data Scientist interview questions — what this role is actually screened on.
- ›Score your resume against one of these postings — real overlap and the knockout rules, not a keyword percentage.
Listings aggregated from public feeds, last refreshed 2026-08-22. Roles fill quickly, so check the source page before applying.