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Berry Appleman & Leiden LLP

Data Scientist

richardson, TX

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Job description

Berry Appleman & Leiden LLP is seeking a Data Scientist to join the Business Intelligence and Insights Team in Richardson, TX on an onsite basis. In this role, you will apply advanced analytics, statistical methods, machine learning, and AI to turn enterprise data into insights that support strategic decision-making.

Working with data from Cobalt and other firm systems, you will develop predictive analytics and forecasting solutions, build and optimize analytical models, and help expand scalable analytics across the organization.

What you’ll do

Develop predictive models, statistical analyses, and forecasting solutions aligned to business objectives

Analyze large, complex datasets to identify trends, patterns, opportunities, and risks

Perform exploratory data analysis to surface actionable insights and business recommendations

Design and implement measurement methodologies for business performance and operational effectiveness

Use advanced statistical techniques to address complex business problems

Build and maintain analytical models that support firm operations, financial performance, staffing, client service, and practice group initiatives

Develop and optimize data models using data sourced from Cobalt and other enterprise systems

Evaluate emerging analytical tools, machine learning, and artificial intelligence technologies

Create reusable analytical frameworks, tools, and methodologies to support scalable analytics across the firm

Collaborate with internal teams to establish best practices for advanced analytics and model development

Explore, develop, and implement AI-enabled solutions that improve business decision-making and operational efficiency

Use Python and Agentic AI technologies to automate analytical workflows and accelerate insight generation

Identify opportunities to apply machine learning and intelligent automation to business challenges

Support responsible and effective use of emerging AI technologies throughout the firm

Support strategic planning initiatives through data-driven insights and performance analyses

Translate business requirements into analytical solutions that produce measurable business outcomes

Partner with Business Intelligence, Data Governance, and BI Development team members to promote enterprise analytics standards

What you bring

Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related discipline

Master’s Degree in Data Science, Statistics, Analytics, Computer Science, or related field preferred

1-3 years of experience in advanced analytics, data science, business intelligence, or related disciplines

Proficiency in SQL and relational database concepts

Proficiency in Python for analytics, automation, machine learning, and AI applications

Experience working with Agentic AI, large language models (LLMs), artificial intelligence platforms, or intelligent automation technologies preferred

Strong understanding of predictive modeling, machine learning, statistical methods, and forecasting techniques

Experience working with large datasets, data warehouses, and enterprise reporting environments

Experience with Power BI , Tableau , or other data visualization tools

Experience with Cobalt or similar enterprise business platforms preferred

Exceptional analytical, critical thinking, and problem-solving skills

Ability to translate complex analytical findings into actionable business recommendations

Highly organized with strong attention to detail and a commitment to data quality

Self-starter who can manage multiple priorities and projects simultaneously

Professional services or law firm experience preferred

Collaborative approach, innovation mindset, and continuous focus on learning emerging technologies and analytical methodologies

Technologies

SQL

Python

Agentic AI

Large language models (LLMs)

Power BI

Tableau

Cobalt

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Worksite address

richardson, TX, 75080, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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