Senior Data Scientist (Level III) 4P/647

Senior Data Scientist (Level III) Location: Birmingham, AL Contract- 6 Months Client- Southern Nuclear Experience Level: 10–15 Years Education: Master's or Ph.D. Preferred (Quantitative Field) Position Overview We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions. This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies. Key Responsibilities Advanced Data Analysis Analyze complex, large-scale datasets to extract actionable insights. Apply advanced statistical methods and machine learning techniques. Formulate and validate hypotheses to support business decisions. Predictive Modeling & Machine Learning Develop and deploy sophisticated ML models including: deep learning, ensemble methods, neural networks. Lead algorithm development and model optimization. Oversee model deployment into production environments. Feature Engineering & Data Preparation Lead feature engineering efforts to enhance predictive performance. Work closely with data engineering teams to integrate data from data lakes, data warehouses, distributed systems. Visualization & Communication Build compelling visualizations using Tableau, Power BI, Python libraries (Matplotlib, Seaborn, etc.). Present complex analytical findings to technical and executive audiences. Experimentation & Testing Design and analyze A/B tests. Measure and quantify business impact of changes and optimizations. Data Governance & Ethics Ensure compliance with privacy laws and data protection standards. Promote ethical AI and responsible data practices. Leadership & Strategy Mentor junior data scientists. Influence organizational data strategy and roadmap. Drive a data-driven culture across business units. Evaluate emerging tools and technologies for innovation opportunities. Required Qualifications 10–15 years of experience in data science. Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field. Expert proficiency in Python, R, or Julia, SQL. Strong experience with machine learning algorithms, big data technologies (Hadoop, Spark), distributed computing frameworks. Experience with data visualization tools (Tableau, Power BI). Strong leadership and communication skills. Demonstrated ability to drive enterprise-level analytics initiatives. Technical Expertise Machine Learning & AI Statistical Modeling Feature Engineering A/B Testing Big Data Technologies SQL & Data Manipulation Model Deployment (MLOps familiarity preferred) Data Governance & Compliance Core Competencies Strategic thinking Innovation mindset Cross-functional collaboration Executive-level communication Mentorship and leadership Advanced problem-solving abilities 4P Consulting Inc