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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Dla Piper LLP (us) - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $112,879.0 - $179,481.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Artificial Intelligence, Data Analysis, Artificial Neural Networks, Microsoft Azure, Microsoft Basic Data Partition, Big Data, Cluster Analysis, Cognitive Science, Databases, Data Mining, Data Visualization, R (Programming Language), Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, NLTK (NLP Analysis), Power BI, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Deep Learning, Jupyter, Scikit Learn, Information Technology, Data Management - **Published:** August 20, 2026 - **Apply:** https://www.disabledperson.com/jobs/74385549-data-scientist ## About the Role * A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, data mining techniques, etc. * Experience with most or all of the following basic data science tools: Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept in agile methodologies and well-versed in machine learning, artificial intelligence and constructing data science pipelines. * Demonstrated presentation skills along with strong business acumen. Ability to communicate actionable insights using data, often for a non-technical audience. Education * Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to business functions. ## Description Position is responsible for data collection, data exploration and using large data sets to find opportunities for improving business outcomes. Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of different courses of action., * Works with internal stakeholders and clients to identify opportunities for leveraging organizational data to drive business solutions. * Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies. * Assesses the effectiveness and accuracy of new data sources and data gathering techniques. * Applies the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Identifies patterns and looks for opportunities for optimization. * Develops custom data models and algorithms to apply to data sets. * Uses predictive modeling to increase and optimize client opportunities and business outcomes. * Writes computer programs and analyzes large datasets to uncover answers to complex problems. * Develops testing frameworks and tests model quality. * Coordinates with different functional teams to identify and implement models and monitor outcomes. * Develops processes and tools to monitor and analyze modeling performance and data accuracy. * Establishes best practices for data analysis and reporting. * Other duties as assigned., * Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences. * Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner. * Meet deadlines, manage competing priorities, and commit to meeting high standards. * Comply with firm policies and procedures. * Maintain confidences as required in a law firm environment. Physical Demands Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes dev is fun, but setup and ops isn't! 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