Hourly Remote Machine Learning Engineer Jobs in Radnor, PA

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Summary
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.

Location

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.

Skills and Competencies

• 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.

Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

• 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.

Compensation & Benefits

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.

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

Application Process

Interested candidates must apply directly online. Application materials sent via email will not be accepted. Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

Disclaimer

This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.