Data Scientist

Aderant is seeking a Data Scientist.

Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.

At Aderant, the “A” is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the “A”. We bring the “A” to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work – ideas, experience, and passion – to drive our mission forward. Our people are our strength.

Role Description:

As a Data Scientist, you will have the opportunity to be part of a new team and bring new and innovative insights to law firms globally by leveraging data about cases, timekeeping, financials, and other operations. Your work will impact all members of the law firm from lawyers to the finance department.

Responsibilities:

• Applying data mining techniques and statistical analysis to large amounts of data that has historically been highly underleveraged.
• Consulting and building the ideal data environment and infrastructure that will enable data insights to be delivered through reports, leveraged in advanced forecasting offerings, and fully integrated modules within products.
• Leverage machine learning and NLP technology to develop sophisticated data models.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Conducting ad hoc analysis and presenting results in a clean, clear, and actionable manner.
• Creating automated anomaly detection systems and constant tracking of its performance.
• Working with product and cloud operations teams to determine how best to utilize resources.

Qualifications:

• A Master’s degree or foreign equivalent in: Applied Mathematics, Statistics, Economics, Data Science, Information Systems, Computer Science, or other relevant degree.
• 4 years experience using statistical data analysis techniques on business projects.
• Experience working with large, complex data sets, normalizing, and building training sets and models.
• Expertise in translating strategic questions into tactical work plans and outputs.
• Using advanced machine learning techniques to combine and compare large data sets.
• Experience with common data science languages and toolkits, such as R, Python
• Experience with data visualization tools.
• Experience with Spark
• Proficiency in using query languages such as SQL.
• Experience with Azure and Synapse a plus
• Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
• Strong scripting and programming skills.
• Experience with machine learning and NLP techniques and algorithms a plus.