Data Scientist Jobs in Texas, United States

DoorDash seeks experienced Data Scientists to lead analytics across multiple teams, driving data‑driven decisions in areas such as customer acquisition, fraud prevention, marketing, and marketplace efficiency. Candidates will design experiments, build dashboards, mentor junior analysts, and collaborate with engineering to implement data solutions.

IntegraFEC, a litigation and economic consulting firm, seeks a Data Scientist / Senior Data Analyst to drive forensic data analytics in financial fraud investigations. Candidates will design and execute data-intensive projects, extracting insights from diverse sources such as text, images, and spreadsheets.

Strategic Data Intelligence team at Houston Independent School District leads advanced analytics and predictive insights for enterprise systems. The Senior Data Scientist builds and maintains statistical and machine learning models, creates forecasts and decision-support dashboards using Power BI and Microsoft Fabric, and partners with Finance, HR, Procurement, and Budgeting teams.

IntegraFEC seeks a data-driven professional to investigate financial fraud across sectors such as finance, healthcare, and cryptocurrency. The role blends data science, econometrics, and investigative techniques to uncover complex fraud schemes for government and private clients.

Data ANCHOR Team at Amazon builds data pipelines, predictive models, and AI‑powered solutions to improve IT operational excellence. As a Senior Data Scientist you will design, develop, and deploy machine learning models for forecasting, severity triaging, and anomaly detection, and partner with engineering to productionize them.

Data Intelligence Office at Houston Independent School District leads advanced analytics to inform strategic planning, equity initiatives, and resource allocation. The Senior Data Scientist designs predictive models, simulations, and machine learning algorithms on student and enterprise data, delivering actionable insights to senior leaders.

As a Principal Associate, Data Scientist on the Retail Bank Valuations Data Science team at Capital One, you will partner with cross-functional teams to build and deploy machine learning models that unlock insights from billions of customer records. Day-to-day work involves leveraging a broad stack including Python, Conda, AWS, H2O, and Spark to reveal insights hidden in large volumes of numeric and textual data, and translating complex analytical work into tangible business goals.

Engineering team at serra.io builds data-driven products and analytics platforms. The Data Scientist designs experiments, develops predictive models, and translates insights into actionable recommendations.

TeamOhana is building data-driven solutions to empower product insights and decision-making. As a Data Scientist you will develop predictive models, analyze large datasets, and create visualizations to inform strategy.

Victory seeks an experienced Data Scientist to analyze large datasets, uncover patterns, and build predictive models that drive business decisions. The role involves sourcing and automating data pipelines, preprocessing structured and unstructured data, and delivering clean, maintainable code.

Data Science Team at SOSi leverages statistical analysis, machine learning, and data visualization to extract actionable insights for defense and government missions. The Data Scientist builds predictive models, designs A/B tests, and creates dashboards while collaborating with product, engineering, and business stakeholders.

Data Scientist on the juneapp.ai team, building AI-driven applications to streamline user workflows. The role involves designing and implementing predictive models, analyzing large datasets, and collaborating with engineers to integrate insights into product features.

HappyDance [Partnership] (Integration) team seeks a Data Scientist to develop predictive models and analytics that drive product insights. The role involves collaborating with cross‑functional engineers and analysts to design experiments, build pipelines, and communicate findings.

Data Scientist role at Dropbox (Ats) focuses on leveraging large-scale data to drive product decisions and improve user experience. Candidates will analyze complex datasets, build predictive models, and collaborate with cross-functional teams across engineering, product, and design.

Imagen Technologies (Ats) Data Science team builds advanced analytics solutions to drive product insights and customer value. The Data Scientist designs experiments, develops predictive models, and translates data findings into actionable recommendations.

Data Scientist role at BioRender focuses on building predictive models and analyzing large datasets to drive product decisions. The position requires strong programming skills, statistical knowledge, and experience with machine learning frameworks.

Data Scientist II at 005 Southwest Business Corporation builds AI-driven solutions for SWBC’s cloud-native data ecosystem. The role designs, develops, and deploys machine learning models, including forecasting, segmentation, and anomaly detection, while contributing to Clara and SWBC Intelligence platforms on AWS and Snowflake.

Hanwha Energy USA's Commodities team in Houston, TX seeks a Data Scientist to oversee the full data science pipeline for wholesale power and gas market applications, including price forecasting, congestion analysis, load forecasting, and trading algorithms. Day-to-day work spans R&D, model development, pre- and post-model analytics, model deployment, and management of the ML model library, leveraging AI/ML techniques to inform decisions, optimize operations, mitigate risks, and drive growth.

As a Data Scientist in Plano, TX, you will unlock the power of customer data by building machine learning models that predict behavior, personalize experiences, reduce churn, and drive business growth. Day-to-day work sits at the intersection of advanced analytics, AI, marketing, and strategy, turning massive datasets into actionable insights to better understand and serve customers in a fast-paced retail environment.

Airtable (Ats) Data Science team builds predictive models and analytical tools to empower users to organize and understand their data. The Data Scientist designs experiments, develops machine learning pipelines, and collaborates with engineers to integrate insights into Airtable products.