Data Scientist 3 4P/851

4P Consulting•Birmingham, AL

10d•Onsite

About The Position

We are seeking an experienced Data Scientist III to lead advanced analytics, machine learning, predictive modeling, and data-driven decision support initiatives. The ideal candidate will have deep expertise in Python, machine learning, statistical analysis, SQL, data visualization, big data technologies, and model deployment, along with the ability to translate complex analytical findings into actionable business recommendations.

Requirements

10–15 years of data science, advanced analytics, machine learning, or related experience.
Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
Advanced proficiency with Python, R, Julia, or similar analytical programming languages.
Expert knowledge of machine learning algorithms and predictive modeling techniques.
Strong SQL and database experience.
Experience deploying machine learning models into production.
Strong statistical modeling and analytical skills.
Experience working with large and complex datasets.
Strong problem-solving and critical-thinking capabilities.
Excellent written and verbal communication skills.
Ability to communicate complex technical findings to technical and non-technical stakeholders.

Nice To Haves

Experience with Power BI, Tableau, Matplotlib, or similar visualization tools.
Experience with big data and distributed computing technologies such as Spark or Hadoop.
Deep learning and neural network experience.
Experience with cloud-based analytics and machine learning platforms.
Experience leading data science projects or mentoring technical teams.
Strong understanding of data ethics, privacy, governance, and compliance.
Experience developing enterprise AI or machine learning solutions.

Responsibilities

Analyze large and complex datasets to identify trends, patterns, and actionable insights.
Develop and deploy advanced machine learning and predictive models.
Apply deep learning, ensemble methods, neural networks, and other advanced analytical techniques.
Perform feature engineering and model optimization.
Conduct statistical analysis, hypothesis testing, and validation.
Design and analyze A/B tests and experiments.
Develop effective dashboards and data visualizations using Power BI, Tableau, Python, or similar tools.
Partner with data engineering and IT teams to integrate data from multiple sources, data lakes, and data warehouses.
Deploy machine learning models into production environments.
Support real-time analytics and data-driven business applications.
Develop and optimize algorithms for complex business and operational problems.
Ensure appropriate data privacy, security, ethics, and regulatory compliance.
Collaborate with engineers, analysts, business leaders, and subject matter experts.
Mentor junior data scientists and provide technical leadership.
Help define data science strategy, standards, and technology roadmaps.
Evaluate emerging AI, machine learning, and analytics technologies.