Data Scientist
BAL · Richardson, TX · 1 mo ago
HybridEngineeringFull-time
Primary Responsibilities
- Develop predictive models, statistical analyses, and forecast solutions to support business objectives
- Identify trends, patterns, opportunities, and risks within large and complex datasets
- Conduct exploratory data analysis to uncover actionable insights and business recommendations
- Design and implement methodologies for measuring business performance and operational effectiveness
- Utilize advanced statistical techniques to solve complex business problems
- Build and maintain analytical models supporting 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
- Develop reusable analytical frameworks, tools, and methodologies that support scalable analytics across the firm
- Collaborate with internal teams to establish best practices for advanced analytics and model development
- Support strategic planning initiatives through data-driven insights and performance analyses
- Translate business requirements into analytical solutions that drive measurable business outcomes
- Partner with Business Intelligence, Data Governance, and BI Development team members to promote enterprise analytics standards
Qualifications
- Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or 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 working 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 commitment to data quality
- Self-starter with the ability to manage multiple priorities and projects simultaneously
- Professional Services or Law Firm Experience Preferred
- Collaborative, innovative, and continuously focused on learning emerging technologies and analytical methodologies