May 28, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential. · Master’s degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience.
p>You will collaborate with government leaders, engineers, analysts, and data scientists to solve complex business challenges, develop innovative analytical capabilities, and guide the technical direction of data science initiatives. In this role, you will lead the design and development of advanced analytics, machine learning, and artificial intelligence solutions that support mission-critical decision-making and trade enforcement operations.
Tuscaloosa, AL15 days ago
Preferred Qualifications: Master's degree in Statistics, Biostatistics, Operations Management, Mathematics, or a closely related field that uses applied statistics, such as Public Health/Health Promotion, and at least three (3) years of experience in statistical data analysis and modeling. This individual will collaborate on high-impact research initiatives such as the Southern Regional Drug Data Research Center (SR-DDRC) and projects involving Alabama Medicaid, as well as interdisciplinary efforts in grant writing, manuscript development, and cross-campus collaborations.
Birmingham, AL30+ days ago
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. The position focuses on production‑grade analytics within an Azure Databricks lakehouse environment and requires strong documentation, auditability, and analytical rigor appropriate for a highly regulated setting.
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
Tuscaloosa, AL30+ days ago
Additional Department Summary: Global Water Security Center (GWSC) is a research -to-operations center, this position will be involved in a range of activities from exploratory analysis to development and implementation of data workflow to data visualization and communication. For example: experience with non-normally distributed data and statistical analyses including regressions, t-tests, nonparametric tests, power analyses, multivariate and/or ordination techniques.
Birmingham, AL30+ days ago
p>'',''University'',''University'','''','''','''','''','''','''','''','''',''Scientific Research'',''Scientific Research'',''311600000 Ophthalmology'',''311600000 Ophthalmology'',''Regular'',''Regular'','''','''','''','''',''Day/1st Shift'',''Day/1st Shift'',''Onsite'',''Onsite'',''false'',''318396'',''318396'',''true'',''318396'',''false'',''Submission for the position: DATA SCIENTIST LEAD - (Job Number: T235878)'',''false'',''318396'',''false'',''true''. Data scientist lead for the Sight Outcomes Research Collaborative (SOURCE), a consortium of academic ophthalmology departments sharing de-identified electronic health record and ocular diagnostic test data on eye care recipients for research and quality improvement projects.
The prospective employee will function within the Program Management Office Aircraft Survivability Equipment (PMO ASE), aiding Product Offices through the application of scientific theory, design experimentation, and engineering principles in the test and evaluation mission for Aircraft Survivability Equipment. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Birmingham, AL30+ days ago
Predictive Modeling: Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes. Cross-functional Collaboration: Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
p>The position at this level works with multiple teams of data scientists, analysts, and visualization experts and mentors junior risk data scientists as well as independently contributes to solving complex business problems and enabling effective risk management. Additionally, the position at this level requires effective leadership and project management skills as well as in-depth knowledge in quantitative analytical methods, data management, visualization, and programming skills suitable to drive data-driven decisions.
Huntsville, AL18 days ago
Using your experience with applied ML, real-time systems, and physical domain modeling, you will work closely with RF engineers, software engineers, and end customers to develop an intelligent Al/ML stack that monitors environmental conditions, predicts signal propagation impacts, and supports dynamic adjustments of transmission parameters to maintain signal stability and performance. Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.
Through use of data analytics, data visualization and data modeling techniques and technologies, the data scientist/architect will develop and support dashboard solutions that can help other departments, managers and executives make strategic and tactical business decisions. The Data Architect will develop and support data lake, warehouse solutions, analytic models and reports, to enable strategic and tactical business decisions through advanced data analytics, data visualization, and data modeling techniques.
Huntsville, AL13 days ago
Through use of data analytics, data visualization and data modeling techniques and technologies, the data scientist/architect will develop and support dashboard solutions that can help other departments, managers and executives make strategic and tactical business decisions. The Missile Solutions Segment is seeking an experienced Data Scientist with extensive expertise in data modeling, data architecture, code architecture, system design, business intelligence, project management, and operational insights.
Birmingham, AL30+ days ago
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Reporting to the Senior Director of Reliability, this role serves as a technical expert within the Reliability organization, transforming maintenance, operational, and process data into actionable insights that reduce downtime, optimize maintenance strategies, and improve asset performance. The Senior Reliability Data Scientist is responsible for leveraging advanced analytics, predictive modeling, and reliability data to improve asset reliability, maintenance effectiveness, and operational performance across Ascend's manufacturing network.
Birmingham, AL15 days ago
University'',''University'','''','''','''','''','''','''','''','''',''Scientific Research'',''Scientific Research'',''310000000 School of Medicine Dean''s Office'',''310000000 School of Medicine Dean''s Office'',''Regular'',''Regular'','''','''','''','''',''Day/1st Shift'',''Day/1st Shift'',''Onsite'',''Onsite'',''false'',''319617'',''319617'',''true'',''319617'',''false'',''Submission for the position: DATA SCIENTIST - (Job Number: T236725)'',''false'',''319617'',''false'',''true''. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development and improvement of processes.
Huntsville, Alabama9 days ago
The prospective employee will function within the Program Management Office Aircraft Survivability Equipment (PMO ASE), aiding Product Offices through the application of scientific theory, design experimentation, and engineering principles in the test and evaluation mission for Aircraft Survivability Equipment. June 16, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. PRIMARY PURPOSE OF THE ROLE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.
Birmingham, AL30+ days ago
Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally.
Huntsville, AL30+ days ago
Key Responsibilities include: • Lead the design, development, and management of scalable Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines, data warehouses, and data lakes supporting analytics and machine learning initiatives • Perform advanced analysis of large-scale datasets, including complex space data, to derive actionable mission insights and solve high-impact operational challenges • Develop, implement, and deploy predictive models and machine learning algorithms within production environments • Translate holistic data-sharing and analytics requirements from Integrated Product Teams (IPTs) into comprehensive data architectures, influencing new data center design, including integration of Storage Area Networks (SAN), Network Attached Storage (NAS), object storage, and data processing frameworks • Establish and enforce data governance, quality, integrity, and security best practices across the enterprise • Serve as senior technical lead and primary customer interface for data initiatives, advising leadership on feasibility, performance, cost, and long-term scalability • Develop and deliver executive-level technical briefings and represent SRC in high-level meetings with customers and stakeholders • Identify follow-on technical opportunities and define complex requirements for statements of work.
Experience & Technical Expertise: Minimum 7 years of progressive experience across both data engineering and data science disciplines, including expert proficiency in Python and Structured Query Language (SQL); demonstrated success designing Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines; developing and deploying machine learning models; and working with big data technologies such as Apache Spark, Apache Airflow, or Apache Hadoop.
Data Scientist Sedgwick Claims Management Services, Inc.
Data ScientistAL30+ days ago
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Partners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
p>In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Birmingham, AL19 days ago
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Birmingham, AL19 days ago
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
The ideal candidate combines strong analytical problem solving skills with practical experience in data analysis, machine learning, and Generative AI, and is able to clearly communicate insights and translate business needs into scalable, production ready analytical solutions and data products. In this role, you will work closely with business stakeholders, product managers, and engineering teams to explore data, develop interpretable machine learning and analytical solutions, and deliver those solutions into production to address complex business problems and support C&IB's growth objectives.
Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. What you'll work on: Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights.
Birmingham, Alabama30+ days ago
Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination. Let us know you're interested in a future opportunity by joining our Talent Community onjobs.genpt.comor create an account to set up email alerts as new job postings become available that meet your interest!
Birmingham, AL13 days ago
EDUCATION & EXPERIENCE: Typically requires a bachelor''s degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination. Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
Birmingham, AL30+ days ago
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Montgomery, AL21 days ago
The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze Help Desk trends, defect patterns, maintenance workflows, operational reporting anomalies, and modernization candidates. This role evaluates and develops AI/ML use cases aligned to Government priorities while ensuring all AI/ML activities remain operationally safe, technically supportable, and compliant with Government governance requirements.
Birmingham, AL23 days ago
Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management Banking. Analytical Thinking, Credit Risks, Data Analysis, Data Analytics, Financial Analysis, Model Development, Operational Risks, Python (Programming Language), Quantitative Models, Risk Appetite, Statistics, Structured Query Language (SQL) Development.
Birmingham, AL30+ days ago
Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management Banking. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
p>Working alongside government leaders, analysts, engineers, and fellow data scientists, you will transform complex datasets into actionable intelligence that improves operational effectiveness and supports informed decision-making. In this role, you will develop advanced analytical solutions, machine learning models, and data-driven insights that support critical trade enforcement and national security missions.
Birmingham, AL30+ days ago
Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Management, Data Mining, Data Science, Machine Learning (ML), Microsoft Copilot, Microsoft Power Platform, Statistical Analysis Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
Birmingham, AL28 days ago
University'',''University'','''','''','''','''','''','''','''','''',''Scientific Research'',''Scientific Research'',''311600000 Ophthalmology'',''311600000 Ophthalmology'',''Regular'',''Regular'','''','''','''','''',''Day/1st Shift'',''Day/1st Shift'',''Onsite'',''Onsite'',''false'',''318758'',''318758'',''true'',''318758'',''false'',''Submission for the position: MANAGER-DATA SCIENTIST - OPHTHALMOLOGY - (Job Number: T235873)'',''false'',''318758'',''false'',''true''. - Reports can be produced from this database to provide feedback to sites regarding a batch of data or internal reports showing our internal review, notes about conversations or findings based on those reviews, the feedback provided to sites and updates from the sites.
Montgomery, Alabama27 days ago
The Base Maintenance (BMx) Family of Systems program provides critical lifecycle support for enterprise U.S. Air Force logistics and maintenance systems that enable global mission readiness and sustainment operations. Overview: Bluewater Federal is looking for an AI/ML Engineer/Data Scientist to support the USAF at Maxwell AFB.
p>Position Purpose: The Senior Director of Clinical Data Science leads the strategy, development, and deployment of advanced analytics and machine learning models that power clinical decision-making across the organization.
Strong expertise in statistical modeling, machine learning, and causal inference methods used to evaluate program effectiveness (e.g., treatment effect modeling, propensity score matching, quasi-experimental methods).
Birmingham, AL30+ days ago
You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to design and deliver AI solutions that drive measurable client outcomes.
Define and lead Sedgwicks enterprise data science strategy aligned to claims optimization, risk management, fraud detection, and client performance analytics. Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience.
In this role, you will work alongside data scientists, engineers, and government stakeholders to support analytics, reporting, machine learning initiatives, and mission-focused decision-making. Radiance Technologies is seeking a motivated Junior Data Analyst to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP).
Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads. Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services.
In this role, you will work alongside data scientists, engineers, and mission stakeholders to analyze data, develop reports, support analytical models, and provide actionable insights that support national security and trade enforcement missions. - Five (5) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
Huntsville, Alabama10 days ago
Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Huntsville, Alabama24 days ago
Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. The Senior Data Analyst will also be responsible for ensuring data integrity and security, adhering to best practices in data management, and staying updated with the latest trends in data analytics.
Huntsville, AL30+ days ago
Modern Technology Solutions Inc. (MTSI) is a 100 employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation Modeling and Simulation Rapid Capability Development Test and Evaluation Artificial Intelligence Autonomy Cybersecurity and Mission Assurance. MTSI is a 100 employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation Modeling and Simulation Rapid Capability Development Test and Evaluation Artificial Intelligence Autonomy Cybersecurity and Mission Assurance.