Data Scientist

This position can sit in any of our US offices.

Responsibilities

• 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.

Requirements

• 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.
• Experience with basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization.
• Experience with 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.
• Bachelor's degree in computer science, data science, statistics, applied mathematics or related field.
• 5 years of relevant experience in applying data science techniques to business functions.

Essential Job Expectations

• 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.

Work Environment

The firm's work location requirements may be modified at the firm's discretion. Opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Pay

The firm's expected hiring range for this position is $112,879 - $179,481 depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.

Benefits

DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits.