Top Data Science Jobs in Dallas, TX
The Data Scientist will perform analytics, create predictive models, and apply machine learning techniques for various high-visibility projects. Responsibilities include conducting statistical analyses, designing experiments, and discovering insights from data sources to provide a competitive advantage. The role requires collaborating in a team to train AI models and present findings effectively.
The Principal Scientist leads the Investigation & Remediation practice, building relationships with clients and overseeing project execution. Responsibilities include mentoring staff, preparing proposals, collaborating with project managers, and ensuring quality deliverables in environmental projects.
The Data Science Sr Lead Analyst at Citi is responsible for leveraging machine learning and artificial intelligence techniques to extract value from data and deploy solutions to production. The ideal candidate should be proficient in Python and passionate about staying up to date with the latest developments in AI and large language models.
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The Principal Data Scientist will solve complex business problems in the Marketing analytics team for CPG clients. Responsibilities include Market Mix Modeling, ROI analytics, data analysis, and developing actionable recommendations. The role involves hands-on analytics work, coordinating with client teams, and providing thought leadership.
As a Data Analyst (Revenue), you will analyze client portfolios and revenue streams, ensuring system reconciliation. You will create SQL tables, monitor billing accuracy and discrepancies, and collaborate with various departments to drive resolution and operational improvements. The role demands solid analytical and communication skills.
As a Data Analyst at Tax.com, you will transform data into actionable insights to support the GTM team. Responsibilities include designing dashboards, maintaining reports, ensuring data integrity, collaborating with departments, and staying updated on industry trends. The ideal candidate should have strong analytical and problem-solving skills. Key duties involve data acquisition, extraction, forecasting, and data reconciliation using Power BI and other tools. A Bachelor’s degree in IT or Computer Science is preferred with experience in operational reporting.
The Sr. Data Scientist will develop and implement data-driven strategies for pricing decisions within McKesson's Generics organization. The role involves utilizing advanced analytics and machine learning to optimize pricing and enhance business performance, while leading cross-functional collaborations and communicating insights effectively.
As a Marketing Science Analyst, you'll collect and analyze consumer behavior data, develop statistical models to predict performance metrics, and collaborate with teams to deliver insights through dashboards and presentations. The role involves working with big data and communicating findings effectively.
The DB2 DBA will design and implement database solutions, administer DB2 and Cloudant, create and schedule DataStage jobs, perform SQL creation, and ensure compliance with database architecture standards. They will also analyze customer needs and develop creative solutions to enhance performance.
The Computer Systems Analyst will assist in digital transformation initiatives by gathering requirements, preparing cloud migration blueprints, analyzing business processes, and maintaining cloud databases. They will also prepare documentation for user training, manage cloud servers, and work with support teams to troubleshoot and enhance applications.
Top Companies in Dallas, TX Hiring Data + Analytics Roles
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