- Coinbase (Austin, TX)
- …and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design ... our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from… more
- ExxonMobil (Spring, TX)
- …regression, time-series, Bayesian techniques) and machine learning techniques (eg, decision trees, ensemble methods, deep learning, neural networks, validation ... integrating predictive models with optimization frameworks to drive data-informed decision -making and prescriptive analytics. **Educational Background Recommended:** + Master's,… more
- HP Inc. (Spring, TX)
- …team** , where we tackle complex supply chain challenges and drive strategic decision -making through advanced analytics. As a member of SPaM, you will: ✅ ... product planning, manufacturing, and distribution to enhance efficiency and decision -making. + **Transform Data into Impact:** Leverage data visualization techniques… more
- Coinbase (Austin, TX)
- …component of Coinbase's strategy to optimize financial operations and enhance decision -making. In this role, you will collaborate closely with Finance, Product, ... and Engineering teams to support cash flow processes, including payments, cash reconciliations against bank statements, and safeguarding of assets. You will gather financial data from diverse sources, including platform data, external financial institutions,… more
- Coinbase (Austin, TX)
- …fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design ... to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing* * Perform analyses on products to… more
- Kemper (Dallas, TX)
- …with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural ... networks. + Some experience with natural language processing is preferred. + Prior experience working with imbalanced datasets and AWS is a plus. + Ability to work with various data formats. This includes relational databases (especially), delimited text… more
- Constellation (Houston, TX)
- …and other teams to turn data into critical information to inform decision making. This requires understanding business needs, providing and receiving regular ... feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by… more
- USAA (San Antonio, TX)
- …series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and ... other clustering methods, simulation methods, or other advanced techniques. + Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. + Demonstrated ability to write and review complex technical… more
- Cardinal Health (Austin, TX)
- …Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities** + Listen to clients and ask ... questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop ML/ AI products. Summarize the financial and operational impact of the recommendation and pros/cons of… more
- Leidos (San Antonio, TX)
- …utilization. + Visualize data insights through dashboards and reports for decision -makers. + Evaluate the effectiveness of OIE campaigns using data-driven methods. ... + Stay current on emerging data science techniques and tools relevant to OIE. + Provide recommendations to senior leadership on data-driven strategies for OIE. + Define the means to create data visualizations and quantitative analysis to support mission needs.… more