Top Data Science Jobs in Dallas, TX

The role involves leading a team to develop data strategy, build dashboards, drive forecasting, conduct market analysis, and influence senior leadership for Netflix's games portfolio.

The Research Manager leads research workflows, manages editorial processes, and shapes the research agenda in the crypto sector, collaborating with engineers and stakeholders.

As a Support Engineer, you'll solve customer issues, educate users, and represent the team on technical challenges while collaborating across departments.

JBS Dev seeks an Account Executive to drive client relationships and business solutions in enterprise technology, focusing on sales cycles and collaboration with teams.

The role focuses on delivering business intelligence and analytics solutions through advanced data processing, machine learning, and automation to support government missions.

The Senior AI Solutions Director will lead AI project delivery in the Energy sector, manage cross-functional teams, drive business development, and craft innovative AI solutions for clients.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

As Director of Data and Science, lead healthcare analytics strategies using epidemiology and biostatistics to enhance patient care and innovation. Manage a team and collaborate with life science partners to design studies that reveal insights for improved health outcomes.

Lead and develop a high-performing data science team, drive analytics and modeling projects, and shape the data strategy at Render.

Lead product vision and strategy for Pinterest's Trends & Insights. Collaborate with cross-functional teams to enhance AI-driven features and partner experiences.

Drive strategic initiatives for search relevance and offsite signals. Manage projects, collaborate across teams, oversee data acquisition, and ensure compliance.

The intern will support data science projects, perform statistical analysis on large datasets, and collaborate with mentors while gaining valuable experience.

Interns will consult clients on digital transformation, optimize processes, develop data models, design machine learning strategies, and collaborate on innovative projects while gaining leadership experience.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

Drive and execute the AI/ML strategy at 6sense, leading teams in data science and ML engineering to develop innovative AI-native products and solutions, while fostering partnerships and thought leadership in the industry.

The Senior Data Scientist will lead analyses and projects to drive strategic insights, mentor junior staff, and utilize AI tools for data-driven decisions.

Design and implement data science models using Snowflake to drive business growth, ensuring data quality, analysis, and integrating with engineering teams.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Data Science Manager will lead a team of data scientists to develop data-driven solutions, mentor team members, manage projects, and communicate insights to stakeholders.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.