Data Scientist 3

Data Scientist 3 BLOC Resources, LLC Birmingham, AL Job Details Full-time | Contract $52 - $56 an hour 10 hours ago Qualifications SQL databases Spark SQL Model deployment Statistical modeling Predictive analytics Distributed computing Python Full Job Description BLOC Resources is seeking an experienced Data Scientist 3 - Nuclear Operations for a high-impact opportunity supporting advanced analytics, machine learning, and operational performance initiatives in Birmingham. This position supports the work of Southern Company Nuclear Technology Solutions , which enables safe, secure, reliable, and compliant nuclear operations through enterprise technology and analytics solutions. The ideal candidate is a senior data science professional with 10-15 years of experience building production-grade analytical solutions, deploying machine learning models, and translating complex operational data into measurable business value. This role is especially well-suited for candidates with experience in energy, utilities, nuclear operations, or other highly regulated environments . Position Summary The Data Scientist 3 - Nuclear Operations is responsible for designing, validating, deploying, and supporting advanced analytics and machine learning solutions that improve: operational performance equipment reliability predictive maintenance capabilities economic outcomes data-driven decision-making This role bridges complex plant telemetry , industrial operational data , and advanced analytics through production-ready solutions delivered within the Microsoft Azure Databricks Lakehouse environment . Success in this role requires a strong commitment to: technical rigor documentation auditability transparency traceability regulatory compliance The selected candidate will work closely with engineering teams, IT teams, and analytics partners to develop governed, scalable, and maintainable analytical solutions in a highly controlled operating environment. Key Responsibilities Advanced Analytics & Machine Learning Develop, validate, deploy, and maintain advanced analytical models supporting nuclear operational use cases. Build statistical , machine learning , and time-series models focused on: anomaly detection predictive maintenance equipment reliability operational performance optimization Apply advanced modeling techniques including: regression models ensemble methods anomaly detection methods forecasting models deep learning and neural network approaches where appropriate Continuously monitor model performance and support controlled model updates as plant conditions and data evolve. Ensure analytical outputs are explainable, reliable, and appropriate for operational decision support. Lakehouse & Cloud-Native Analytics Implementation Build end-to-end analytics workflows within the Databricks Lakehouse environment. Develop scalable analytics pipelines using Apache Spark and cloud-native processing technologies. Build and maintain feature datasets aligned with enterprise medallion architecture standards. Support repeatable experimentation, model tracking, and governed model lifecycle practices. Develop scalable data workflows capable of supporting large and complex operational datasets. Data Engineering & Data Integration Partner with data engineering and IT teams to integrate data from: operational systems telemetry systems enterprise databases data lakes structured analytical datasets Support feature engineering efforts to improve model performance and analytical value. Work with large-scale structured and time-series datasets to support advanced analytical use cases. Statistical Analysis & Validation Perform rigorous statistical validation of analytical methods, assumptions, and outputs. Design and evaluate analytical tests, experimentation frameworks, and A/B analyses where applicable.

Ensure models meet standards for:

explainability repeatability traceability operational suitability Data Governance, Security & Compliance Design solutions that comply with enterprise data governance standards. Ensure analytical outputs remain traceable to approved source data. Operate within established platform security controls that govern data access, ingress, and egress. Ensure analytical work aligns with formal documentation, auditability, and regulatory expectations. Applied AI & Advanced Search Capabilities Support approved AI-enabled analytics and advanced search capabilities where appropriate. Assist with retrieval-based analytical techniques and AI-assisted analytical workflows. Ensure AI-enabled solutions remain transparent, verifiable, and aligned with enterprise governance standards. Technical Communication & Collaboration Partner closely with: nuclear engineers IT leaders platform teams operational stakeholders Translate operational questions into analytical approaches and measurable technical solutions. Participate in architecture reviews, technical design discussions, and solution planning. Clearly communicate analytical assumptions, limitations, findings, and recommendations to both technical and non-technical audiences. Documentation & Standards Produce comprehensive documentation for analytical solutions, including: model intent assumptions validation methods limitations operational considerations Ensure all work aligns with formal quality standards, audit requirements, and change management practices. Support a strong nuclear safety culture through disciplined documentation and controlled analytical practices. Required Qualifications 10-15 years of relevant professional experience in data science, advanced analytics, machine learning, or quantitative modeling Strong proficiency in Python for: data analysis model development feature engineering statistical analysis Strong SQL experience working with large-scale structured datasets Strong background in: statistical modeling predictive modeling time-series analysis anomaly detection Experience building analytics or machine learning solutions in production cloud environments Experience with Apache Spark and distributed data processing Strong understanding of data science lifecycle, model deployment, and production support Ability to clearly explain analytical methods, assumptions, and limitations Preferred Qualifications Master's degree preferred in: Data Science Computer Science Statistics Engineering Physics Mathematics related quantitative discipline Ph.D. is also highly valued Experience supporting analytics in: energy utilities nuclear operations highly regulated industries Familiarity with industrial telemetry and operational time-series data Experience contributing to MLOps practices and repeatable deployment workflows Understanding of enterprise data governance and access control principles Experience with data visualization platforms such as: Microsoft Power BI Tableau Technical Skills & Expertise Advanced machine learning and predictive modeling expertise Strong statistical analysis and validation capabilities Strong knowledge of: feature engineering model lifecycle management cloud analytics platforms distributed computing Familiarity with production analytics within governed enterprise environments Strong understanding of data ethics, privacy, and analytical transparency Behavioral Attributes The ideal candidate demonstrates the values associated with

Southern Company :

Safety First Act with Integrity Intentional Inclusion Superior Performance Additional success factors include: strong analytical rigor exceptional attention to detail effective collaboration across technical and operational teams comfort working within formal controls, documentation standards, and regulatory oversight Additional Requirements This role may require compliance with applicable nuclear regulatory requirements, including: background checks testing training requirements adherence to nuclear safety culture expectations Work location and on-site expectations will align with business needs. Data Scientist 3 -

Nuclear Operations Location:

3535 Colonnade Parkway, Birmingham, AL 35243

Compensation:

$52.00 - $56.00 per hour

Job Type:

Full-Time | Contract BLOC Resources is seeking an experienced Data Scientist 3 - Nuclear Operations for a high-impact opportunity supporting advanced analytics, machine learning, and operational performance initiatives in Birmingham. This position supports the work of Southern Company Nuclear Technology Solutions , which enables safe, secure, reliable, and compliant nuclear operations through enterprise technology and analytics solutions. The ideal candidate is a senior data science professional with 10-15 years of experience building production-grade analytical solutions, deploying machine learning models, and translating complex operational data into measurable business value. This role is especially well-suited for candidates with experience in energy, utilities, nuclear operations, or other highly regulated environments . About BLOC Resources BLOC Resources is a workforce solutions firm dedicated to connecting highly qualified professionals with leading organizations across utilities, engineering, analytics, operations, technology, and infrastructure. We are committed to delivering strategic staffing solutions that support critical business objectives while creating meaningful opportunities for top talent. Our approach is grounded in integrity, service excellence, responsiveness, and long-term partnership. Position Summary The Data Scientist 3 - Nuclear Operations is responsible for designing, validating, deploying, and supporting advanced analytics and machine learning solutions that improve: operational performance equipment reliability predictive maintenance capabilities economic outcomes data-driven decision-making This role bridges complex plant telemetry , industrial operational data , and advanced analytics through production-ready solutions delivered within the Microsoft Azure Databricks Lakehouse environment . Success in this role requires a strong commitment to: technical rigor documentation auditability transparency traceability regulatory compliance The selected candidate will work closely with engineering teams, IT teams, and analytics partners to develop governed, scalable, and maintainable analytical solutions in a highly controlled operating environment.

Compensation Hourly Pay Rate:

$52.00 - $56.00 per hour Compensation will be based on: depth of advanced analytics and machine learning experience experience in production cloud analytics environments background supporting regulated or industrial environments expertise in time-series analytics and predictive modeling overall alignment with technical and business requirements This role offers the opportunity to contribute directly to critical infrastructure performance through enterprise-grade analytics and applied machine learning. Organization Overview Southern Company Nuclear Technology Solutions supports Southern Nuclear by designing, developing, and operating secure, reliable, and compliant technology solutions that enable safe and efficient nuclear operations. This position supports analytics initiatives that directly influence operational reliability, equipment health, and nuclear plant performance. Key Responsibilities Advanced Analytics & Machine Learning Develop, validate, deploy, and maintain advanced analytical models supporting nuclear operational use cases. Build statistical , machine learning , and time-series models focused on: anomaly detection predictive maintenance equipment reliability operational performance optimization Apply advanced modeling techniques including: regression models ensemble methods anomaly detection methods forecasting models deep learning and neural network approaches where appropriate Continuously monitor model performance and support controlled model updates as plant conditions and data evolve. Ensure analytical outputs are explainable, reliable, and appropriate for operational decision support. Lakehouse & Cloud-Native Analytics Implementation Build end-to-end analytics workflows within the Databricks Lakehouse environment. Develop scalable analytics pipelines using Apache Spark and cloud-native processing technologies. Build and maintain feature datasets aligned with enterprise medallion architecture standards. Support repeatable experimentation, model tracking, and governed model lifecycle practices. Develop scalable data workflows capable of supporting large and complex operational datasets. Data Engineering & Data Integration Partner with data engineering and IT teams to integrate data from: operational systems telemetry systems enterprise databases data lakes structured analytical datasets Support feature engineering efforts to improve model performance and analytical value. Work with large-scale structured and time-series datasets to support advanced analytical use cases. Statistical Analysis & Validation Perform rigorous statistical validation of analytical methods, assumptions, and outputs. Design and evaluate analytical tests, experimentation frameworks, and A/B analyses where applicable.

Ensure models meet standards for:

explainability repeatability traceability operational suitability Data Governance, Security & Compliance Design solutions that comply with enterprise data governance standards. Ensure analytical outputs remain traceable to approved source data. Operate within established platform security controls that govern data access, ingress, and egress. Ensure analytical work aligns with formal documentation, auditability, and regulatory expectations. Applied AI & Advanced Search Capabilities Support approved AI-enabled analytics and advanced search capabilities where appropriate. Assist with retrieval-based analytical techniques and AI-assisted analytical workflows. Ensure AI-enabled solutions remain transparent, verifiable, and aligned with enterprise governance standards. Technical Communication & Collaboration Partner closely with: nuclear engineers IT leaders platform teams operational stakeholders Translate operational questions into analytical approaches and measurable technical solutions. Participate in architecture reviews, technical design discussions, and solution planning. Clearly communicate analytical assumptions, limitations, findings, and recommendations to both technical and non-technical audiences. Documentation & Standards Produce comprehensive documentation for analytical solutions, including: model intent assumptions validation methods limitations operational considerations Ensure all work aligns with formal quality standards, audit requirements, and change management practices. Support a strong nuclear safety culture through disciplined documentation and controlled analytical practices. Required Qualifications 10-15 years of relevant professional experience in data science, advanced analytics, machine learning, or quantitative modeling Strong proficiency in Python for: data analysis model development feature engineering statistical analysis Strong SQL experience working with large-scale structured datasets Strong background in: statistical modeling predictive modeling time-series analysis anomaly detection Experience building analytics or machine learning solutions in production cloud environments Experience with Apache Spark and distributed data processing Strong understanding of data science lifecycle, model deployment, and production support Ability to clearly explain analytical methods, assumptions, and limitations Preferred Qualifications Master's degree preferred in: Data Science Computer Science Statistics Engineering Physics Mathematics related quantitative discipline Ph.D. is also highly valued Experience supporting analytics in: energy utilities nuclear operations highly regulated industries Familiarity with industrial telemetry and operational time-series data Experience contributing to MLOps practices and repeatable deployment workflows Understanding of enterprise data governance and access control principles Experience with data visualization platforms such as: Microsoft Power BI Tableau Technical Skills & Expertise Advanced machine learning and predictive modeling expertise Strong statistical analysis and validation capabilities Strong knowledge of: feature engineering model lifecycle management cloud analytics platforms distributed computing Familiarity with production analytics within governed enterprise environments Strong understanding of data ethics, privacy, and analytical transparency Behavioral Attributes The ideal candidate demonstrates the values associated with

Southern Company :

Safety First Act with Integrity Intentional Inclusion Superior Performance Additional success factors include: strong analytical rigor exceptional attention to detail effective collaboration across technical and operational teams comfort working within formal controls, documentation standards, and regulatory oversight Additional Requirements This role may require compliance with applicable nuclear regulatory requirements, including: background checks testing training requirements adherence to nuclear safety culture expectations Work location and on-site expectations will align with business needs. Why Join BLOC Resources? This is an exceptional opportunity for a senior-level data science professional seeking to apply advanced analytics to mission-critical infrastructure. You will contribute directly to initiatives involving: predictive maintenance anomaly detection operational reliability cloud-native analytics enterprise machine learning deployment regulated data science applications Your work will help support safe, efficient, and reliable nuclear operations while shaping advanced analytics capabilities in a highly impactful environment. Apply Today If you are an experienced data science professional with a passion for advanced analytics, machine learning, and solving complex operational challenges, BLOC Resources invites you to apply for this Data Scientist 3 - Nuclear Operations opportunity in Birmingham. BLOC Resources is an Equal Opportunity Employer.