Top Senior Level Data Science Jobs in Dallas, TX

Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.

The Principal Data Scientist will lead data science projects by engineering data models, developing predictive and recommendation models, and collaborating with stakeholders to translate qualitative data into actionable insights. The role involves continuous model assessment, visualization using PowerBI, and mentoring team members while applying advanced statistical methods to large data sets.

The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.

Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.

The Senior Data Scientist will develop and optimize predictive models using machine learning techniques and 3D data, write software for data preparation, and utilize cloud resources and data analysis tools to drive business strategy, while thriving in a fast-paced collaborative environment.