Top Data Science Jobs in Dallas, TX

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Clinical Data Scientist gathers, cleans, analyzes, and visualizes data to support program effectiveness in a healthcare context, collaborating with domain experts and ensuring compliance with ethical standards.

The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

The Marketing Data Scientist will apply advanced analytics and machine learning to drive marketing strategies, focusing on connecting digital engagement to physical outcomes. Responsibilities include experimentation, reporting, predictive modeling, and collaboration with stakeholders for business insights.

As a Data Scientist Intern, you will analyze data, develop predictive models, collaborate with teams, and improve data quality while contributing to business insights.

As a Customer Data Scientist at Amplitude, you will leverage deep experimentation expertise and applied statistics to assist client companies in developing effective experimentation programs, influencing product strategy while collaborating with various teams.

The Data Scientist will develop and oversee measurement systems, analyze customer behavior, enhance marketing strategies and translate data insights into actionable business recommendations.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Data Scientist will tackle high-impact problems, partner with stakeholders, design experiments, analyze product data, and mentor other data scientists to enhance data-driven strategies at Quora.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

The Data Scientist will analyze data to optimize products, drive business decisions, develop models and algorithms, and enhance customer experiences.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

The Data Scientist will design and deploy machine learning models, manage the full model lifecycle, build scalable data pipelines, and drive innovation through advanced analytics to solve complex business problems in insurance.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Staff Data Scientist will lead analytical strategies for Firefox, focusing on product growth, measurement frameworks, and mentoring data scientists while guiding data-driven decisions.

The Data Scientist II will analyze data, create actionable insights, develop algorithms, and support the go-to-market team to drive revenue while educating customers on the value of Socure's products.

As a Staff Data Scientist, you'll analyze operational challenges, create dashboards, partner with teams, and use AI tools for data insights while delivering actionable recommendations to stakeholders.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.