Team Lead

Team Lead Data Jobs

68 jobs found

29d ago

TSS Data Analyst Senior

General Dynamics Information Technology Bossier City, LA

Bossier City, LA

29d ago

$85k - $115k/yr Full time Senior Analyst Analytics

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Job Description

General Dynamics Information Technology seeks a Senior Data Analyst to join the TSS Data & Analytics team on a hybrid schedule based in Bossier City, Louisiana. The role centers on building dashboards, performing in-depth analytics, and delivering data-driven solutions for government clients while leading a small analytics team within an Agile framework.

Role Overview

The Senior Data Analyst contributes to dashboard development, deep-dive analytics, and data-driven solutions for government projects. The position includes supervising a small team and coordinating Agile delivery to ensure timely, quality outcomes.

Responsibilities

Lead market research to establish decision-making best practices within the industry
Create, refine, and deliver reports, dashboards, and database solutions for internal and external stakeholders
Mentor a small Data Analyst team supporting development initiatives
Utilize BI tools such as Power BI, Power Apps, Excel, and related technologies
Provide data analytics and actionable insights
Define and monitor KPIs to assess performance across various areas
Collaborate with developers, analysts, and engineers to determine feature requests, priorities, dashboards, and solutions
Write user stories, acceptance criteria, test plans, and retrospectives to improve Agile processes
Perform QA testing of new features to verify requirements and user experience
Support user acceptance testing and production deployment
Prepare and deliver presentations and training materials
Create and maintain documentation
Ensure on-time Agile sprint releases with the development team

Requirements

Proficiency in SQL, including creating tables, views, and stored procedures
Experience building dashboards with Power BI or equivalent BI tools
Familiarity with Databricks or similar platforms
Experience with Python
Experience leading and mentoring a small Data Analyst team
Strong Excel skills; comfortable with Outlook, Word, and PowerPoint
Ability to manage multiple competing priorities effectively
Team-oriented with adaptability to changing client needs
Excellent communication for presenting to business leaders
Strong analytical and problem-solving abilities
Ability to work independently and as part of a team
Knowledge of Agile methodology
Familiarity with Azure DevOps or similar tools
Solid project management skills with the ability to meet deadlines and lead a small analytics team
Education: BA/BS
Experience: 5+ years of related experience

Technologies

Azure
Azure DevOps
AWS
Tableau
Power BI
Power Apps
Excel
Databricks
Python
SQL
Outlook
Word
PowerPoint

Benefits

Growth: Access to AI powered career tools identifying steps and learning opportunities
Support: Internal mobility team to help achieve career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay, and paid time off
Flexibility: Full-flex work week to balance priorities at work and home
Community: Award-winning culture of innovation and a military friendly workplace

Work Location

Candidates must reside in Louisiana and be able to work a hybrid schedule at GDIT's Integrated Technology Center in Bossier City, LA.

Work Requirements

Years of Experience: 5+ years of related experience
May vary based on technical training, certifications, or degree
Travel Required: Less than 10%
Citizenship: U.S. Citizenship Required

Salary and Benefits Information

The likely salary range is $85,000 to $115,000 per year. This is not a guaranteed figure; compensation is determined by experience, geographic location, and contractual requirements and may fall outside the stated range.

Identity Verification

The hiring process includes an identity verification step using biometrics and artificial intelligence to ensure authenticity. Virtual interviews require on-camera participation, and biometric data may be collected for verification and security purposes.

About Our Work

GDIT is a global technology and professional services company delivering technology and mission services to U.S. government agencies, defense, and the intelligence community. With about 26,000 experts, the company operates in more than 50 countries, offering capabilities in digital modernization, AI and ML, cloud, cyber, and application development.

Join Our Talent Community

Join our Talent Community to stay updated on career opportunities and events at gdit.com/tc.

Equal Opportunity Employer

We are an equal opportunity employer, supporting individuals with disabilities and protected veterans.

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29d ago

AI / Machine Learning Engineer Sr Staff (Signal Processing)

Lockheed Martin Fort Worth, TX 🇺🇸 Remote

Fort Worth, TX

29d ago

Full time Ai Ml Artificial Intelligence Digital Signal Processing

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Job Description

In Fort Worth, TX with remote flexibility, this senior AI and machine learning engineer role centers on signal processing within LAIC. You will lead technical projects from initial research through deployment, applying advanced AI techniques to solve complex signal processing challenges and deliver innovative solutions. The position blends hands-on coding, system design, and cross-functional collaboration in a dynamic environment.

Responsibilities

Develop and apply AI technologies, including computer vision, deep learning, and reinforcement learning, to solve signal processing problems and drive innovation.
Participate across the full system development lifecycle, from requirements and design to implementation, integration, and flight testing.
Own critical tasks and lead technical teams to deliver high-quality solutions.
Contribute to proposals and whitepapers to secure funding for AI research and development projects.
Assume technical lead responsibilities and mentor junior engineers to build their capabilities.
Provide guidance to team members to ensure successful project execution.
Collaborate with cross-functional teams to develop and deploy AI solutions and communicate outcomes to stakeholders.
Engage with other Lockheed Martin groups to identify opportunities for AI adoption and application.

Requirements

Bachelor's degree in Engineering, Computer Science, or a related discipline.
8+ years of experience in AI or a related field.
Experience with machine learning frameworks such as PyTorch, TensorFlow, JAX, or Keras.
Proficiency in Python and libraries including NumPy, OpenCV, Scikit-learn, Pandas, SciPy, and others.
Hands-on experience applying ML and DL to signal processing domains such as radar, communications, electronic warfare, sonar, audio, or biomedical signals.
Broad experience applying AI across multiple lines of business or customer programs in large enterprise or government settings.

Technologies

PyTorch
TensorFlow
JAX
Keras
Python
Java
C++
NumPy
OpenCV
Scikit-learn
Pandas
SciPy

Benefits

Opportunity to work on high-impact projects across the LAIC, from early research to deployment.
Collaborative and dynamic work environment with cross-functional teams and an emphasis on innovation.
Professional development and growth opportunities in AI and related fields.
Mentorship and guidance from experienced engineers and leaders.

What We Offer

Opportunities to work on high-impact projects across the LAIC, spanning low TRL research to deployment and applying AI to solve complex problems.
A collaborative and dynamic environment with cross-functional teamwork and a focus on innovation and experimentation.
Paths for professional development and growth in AI and related disciplines, with mentorship from senior engineers and leaders.

Technical Skills

Strong background in software engineering, AI, and machine learning.
Solid foundation in signal processing theory and applications such as radar, communications, electronic warfare, sonar, audio, or biomedical signals.
Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
Proficiency in programming languages such as Python, Java, or C++.

Soft Skills

Self-motivation, strong work ethic, and time management.
Excellent interpersonal and communication skills for collaborating with teams and stakeholders.
Ability to engage with other Lockheed Martin teams to identify AI opportunities and applications.

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29d ago

Lead Generative AI Data Engineer III

Deloitte Atlanta, GA

Atlanta, GA

29d ago

$159k - $265k/yr Full time Manager Ai Workflows Anthropic

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Job Description

Deloitte is seeking a Lead Generative AI Data Engineer III for an onsite role in Atlanta, GA. This position centers on designing, developing, testing, and deploying machine learning and AI solutions, leading AI engineering workstreams, building robust data pipelines and production-grade components, collaborating with cross-functional teams, and mentoring practitioners.

Responsibilities

Lead the end-to-end design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
Manage AI engineering workstreams by assigning tasks, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
7+ years of professional experience.
5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
3+ years of programming experience in Python, PySpark, PyTorch, and TensorFlow.
2+ years of technology consulting experience in the Federal Health space.
2+ years of experience deploying machine learning models into production environments.
2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
Active certification or advanced certification in Python, PySpark, PyTorch, and TensorFlow.
Ability to travel 20 percent on average, based on the work and client engagements.
Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Technologies

Python
PySpark
PyTorch
TensorFlow
Docker
Kubernetes
Gemini
Anthropic
OpenAI

Benefits

Discretionary annual incentive program

Skills for Success

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others

Preferred

Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
Active US Government security clearance
2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

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1mo ago

CMDB Data Engineer

Leidos Tampa, FL

Tampa, FL

1mo ago Closed

$108k - $195k/yr Full time Manager CMDB Data Analysis

This position is no longer accepting applications (closed Jul 21, 2026).

Job Description

Leidos is seeking a CMDB Data Engineer to serve as the technical Subject Matter Expert for CMDB while leading a team as a Deputy Program Manager on the USCENTCOM CITS contract. This onsite role in Tampa, FL centers on maintaining CMDB accuracy and delivering data-driven insights to support enterprise IT operations. Compensation ranges from USD 107,900 to 195,050 per year.

Responsibilities

Deputy Program Management: Support the Program Manager with contract execution, strategic planning, resource allocation, and risk management.
Customer Engagement: Act as a secondary point of contact for USCENTCOM leadership and stakeholders, stepping in as PM when needed to ensure seamless program delivery.
People Leadership: Directly supervise a team of IT and data professionals, conducting performance evaluations, career development planning, mentoring, and approving timecards and leave.
Staffing & Onboarding: Oversee hiring, interviewing, and onboarding to maintain a highly skilled workforce.
Program Reporting: Assist in evaluating contracts, managing program budgets or resource forecasts, and clearly communicating insights, risks, and plans to cross-functional teams and senior management.
CMDB Management: Ensure CMDB accuracy while adhering to standard operating procedures within enterprise processes.
Data Analysis: Analyze data and research issues using SQL and other query tools.
CI Lifecycle Management: Manage the lifecycle of Configuration Items (IT services and assets) from deployment to decommission.
Problem Solving: Break down complex problems into practical, actionable solutions.
Data-driven Stakeholder Communication: Proactively analyze data to answer key questions and share findings to drive performance among stakeholders.
CI Metrics: Define and document configuration item metrics across their lifecycle.
Data Requirements & Quality: Gather information from multiple stakeholders to specify and validate business reporting or data extracts using data mapping and data quality techniques.
Process Improvement: Evaluate business processes, anticipate requirements, identify improvement opportunities, and develop data-driven solutions using analysis and profiling.
CM Procedures & Compliance: Establish and develop overarching Configuration Management procedures and compliance standards, defining responsibilities, authorities, and plan approval levels.

Requirements

Bachelor’s degree in Information Technology, Business Administration, or a related field is preferred, with at least 8 years of relevant experience in data analysis, data science, configuration management, or related IT programs.
Active TS/SCI clearance required.
Program & People Management: 3+ years in a supervisory role managing technical personnel and assisting with program/project management tasks.
5+ years of experience in Configuration Management.
5+ years with ServiceNow, including CMDB administration and integration.
Proven ability to ensure quality, accuracy, and usability of the ServiceNow CMDB.
Ability to collaborate with ServiceNow Administrators.
Experience configuring and integrating discovery tools and Sensors with the ServiceNow CMDB to import data from authoritative sources while preserving data integrity.
Experience or participation in data normalization efforts prior to CMDB ingestion.
Ability to perform routine CMDB data audits.
Experience working with internal and external stakeholders to understand product demand and manage CMDB and platform data requirements.

Technologies

SQL
ServiceNow
CMDB

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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1mo ago

Lead Data Analyst

Ultimate Staffing Services Redmond, WA

Redmond, WA

1mo ago Closed

$70 - $87/hr Contract Advanced Analytics Analyst Analytics

This position is no longer accepting applications (closed Jul 18, 2026).

Job Description

Contract Lead Data Analyst based in Redmond, WA, with a hybrid work arrangement, focusing on PLM data loading, validation, cleanup, and analytics to enable a successful PLM implementation.

Responsibilities

Assist the Project Lead and Work Stream Lead with Bills of Materials, Parts, and related documentation
Coordinate with data analysts under the Work Stream Lead to maintain clear communication and alignment
Investigate large, complex datasets to identify trends, patterns, and actionable insights
Convey findings in language accessible to both technical and non-technical stakeholders
Apply statistical techniques and select predictive analytics when appropriate
Conduct analyses and visualizations using SQL, Python or R, Power BI, Tableau, and similar tools
Collaborate with cross-functional teams to align analytics with business objectives
Support the work stream lead by guiding stakeholders on data interpretation and decision-making
Present insights and recommendations to the work stream lead
Work with stakeholders to gather data needs and outline business objectives
Validate and verify data across multiple PLM data loads
Lead data cleanup efforts by defining requirements and coordinating with IT for PLM and ERP data
Clean and maintain data following IT mass-update processes
Create reports, dashboards, and visuals using Power BI, Tableau, or Excel
Identify trends and insights from data analyses
Translate complex findings into clear, actionable conclusions
Define and implement documentation control methods to support the PLM system
Ensure data accuracy, integrity, and consistency across systems
Automate data processes to improve reporting efficiency where feasible
Extract data, analyze it, and apply critical thinking to decision making
Perform other related duties as assigned

Requirements

Bachelor's degree required; Master's degree preferred
Minimum 2 years of relevant work experience

Technologies

SQL
Python
R
Power BI
Tableau
Excel
Outlook
Word
PowerPoint
Windchill
PLM

Location

Redmond, WA (hybrid)

Compensation

USD 70 - 87 per hour

Job Type

Contract

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1mo ago

Senior Lead Machine Learning Engineer

Capital One Richmond, VA

Richmond, VA

1mo ago Closed

$209k - $239k/yr Full time Azure Ml Cloud Operations Data Engineer

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

A Senior Lead Machine Learning Engineer role at Capital One in Richmond, VA (onsite), focusing on productionizing machine learning applications at scale through architecture, design, and deployment within Agile teams.

Responsibilities

Design and deploy machine learning models and components to address real business needs, collaborating with Product and Data Science teams.
Make informed ML infrastructure decisions based on modeling techniques, including model type, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
Tackle complex problems by writing and testing production code, building and validating models, and automating tests and deployment.
Collaborate in a cross functional Agile team to build and improve software powering advanced big data and ML workloads.
Retrain, maintain, and monitor models in production to sustain performance.
Leverage or develop cloud based architectures and platforms to deliver scalable ML models.
Build efficient data pipelines to feed ML models.
Apply CI/CD best practices, including test automation and monitoring, to enable reliable deployment of ML models and code.
Maintain secure, well governed code and models, following Responsible and Explainable AI practices.
Proficiency with Python, Scala, or Java for implementation.

Requirements

Bachelor’s Degree.
8+ years designing and building data-intensive solutions using distributed computing (internship experience not counted).
4+ years programming in Python, Scala, or Java.
3+ years building, scaling, and optimizing ML systems.
2+ years leading teams delivering ML solutions.

Technologies

Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS
Azure
Google Cloud Platform

Benefits

Health benefits
Financial benefits
Performance-based incentives including cash bonuses and long term incentives

Preferred Qualifications

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a related field.
Experience developing and deploying ML solutions on public clouds such as AWS, Azure, or Google Cloud.
4+ years of hands on experience with industry standard ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
3+ years writing performant, resilient, and maintainable code.
3+ years performing data gathering and preparation for ML models.
3+ years of people management experience.
Contributions to the ML field through conference talks, papers, blogs, open source, or patents.
3+ years building production ready data pipelines that feed ML models.
Ability to clearly communicate complex technical concepts to diverse audiences.

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1mo ago

AI / Machine Learning Engineer Staff (Electronic Warfare)

Lockheed Martin Fort Worth, TX 🇺🇸 Remote

Fort Worth, TX

1mo ago Closed

Full time Ai Ml Artificial Intelligence Electronic Warfare

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

This senior AI and machine learning engineering position sits in Lockheed Martin's Artificial Intelligence Center, focused on AI enabled signal processing solutions and leading critical technical projects across the software lifecycle in electronic warfare. Location: Fort Worth, TX with remote work options.

Responsibilities

Apply current AI paradigms including computer vision, deep learning, and reinforcement learning to address complex signal processing challenges and drive innovative solutions.
Contribute across the system development lifecycle, from requirements gathering and system design to implementation, integration, and flight testing.
Assume ownership of critical tasks and lead technical teams to deliver robust solutions.
Contribute to the development of proposals and whitepapers to secure funding for AI research and development initiatives.
Provide technical leadership and mentor junior engineers to grow their skills and expertise.
Offer guidance and support to team members to ensure successful project execution.
Collaborate with cross functional teams to design and deploy AI solutions.
Translate complex technical concepts and solutions for non technical stakeholders.
Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.

Requirements

Bachelor’s Degree in Engineering, Computer Science, or related discipline
Minimum 5 years of experience developing with machine learning frameworks such as PyTorch, TensorFlow, JAX, or Keras
Experience with Python and libraries including NumPy, OpenCV, Scikit, Pandas, and SciPy
Experience applying machine learning and deep learning to signal processing applications such as radar, communications, electronic warfare, sonar, audio, or biomedical

Technologies

Python
Java
C++
PyTorch
TensorFlow
JAX
Keras
NumPy
OpenCV
Scikit
Pandas
SciPy

Benefits

Chance to contribute to high impact initiatives
Engage in a wide spectrum of LAIC projects, from early stage research to field deployment
Develop and implement AI technologies to tackle complex problems and deploy innovative solutions
Collaborative and agile work environment
Collaborate with cross functional teams to design and deploy AI solutions
Operate in a fast paced environment that emphasizes innovation and experimentation
Opportunities for professional development and growth in AI and related fields
Mentorship from seasoned engineers and leadership