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Advanced Analytics Data Jobs

17 jobs found

Today

Data Scientist

Agile Defense Colorado Springs, CO

Colorado Springs, CO

Today

Full time Advanced Analytics Analytics Artificial Intelligence

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Job Description

Data Scientist and Engineer based in Colorado Springs, CO (onsite), focused on designing, developing, and deploying scalable, AI-enabled data solutions for the DoD. This includes building data pipelines, preprocessing workflows, feature engineering, and machine learning services within secure, containerized environments.

Responsibilities

Design, develop, and operationally deploy scalable AI-enabled data solutions for the Department of Defense under the CDAO ADA IR program.
Shape and implement data pipelines, preprocessing workflows, feature engineering strategies, and machine learning services in secure, containerized environments.
Collaborate closely with product managers, full‑stack developers, platform engineers, and mission stakeholders to convert raw data into actionable insights and decision-support tools.
Demonstrate strong technical communication, a collaborative mindset, and experience in agile environments that prioritize reproducibility, testing, and continuous delivery.

Requirements

4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
Bachelor's degree required.
Proficiency in Python, SQL, and distributed data frameworks including Spark, Databricks, and PySpark.

Technologies

Python
SQL
Spark
Databricks
PySpark
Palantir
Palantir Foundry
AWS-native data services
scikit-learn
TensorFlow
XGBoost
MLflow
Tableau
Plotly
Matplotlib

About Agile Defense

At Agile Defense, action defines the outcome and adaptability is essential. The organization continually looks ahead, embracing change with determination to build for what comes next, supporting mission success through advanced technology and agile execution.

The firm aims to deliver adaptive innovation to support national security and critical civilian missions by integrating cutting-edge technologies, skilled professionals, and rapid execution capabilities.

Our Core Values

Happy - Be Infectious. Cultivate a positive, connected environment where motivation and satisfaction amplify performance.
Helpful - Be Supportive. Foster teamwork through a foundation of collaboration and shared success.
Honest - Be Trustworthy. Maintain transparent communication and ethical conduct across all engagements.
Humble - Be Grounded. Value mutual respect and continuous learning in a collaborative culture.
Hungry - Be Eager. Pursue excellence with a proactive mindset and a drive for innovation.
Hustle - Be Driven. Demonstrate a strong work ethic and commitment to advancing the mission.
6Hs - The core values collectively define what makes the organization agile, guiding integrity and tireless effort in national security work.

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3d ago

Expert Consultant, Coro, AI Engineer

Bain & Co. Washington, DC

Washington, DC

3d ago

$129k - $172k/yr Full time Python Advanced Analytics Agentic Ai

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Job Description

Join Bain & Company in Washington, DC, onsite, as an AI Engineer on the Coro team. You will help build GenAI powered tools and data-driven capabilities for B2B Commercial Excellence, designing, developing, and deploying AI solutions from proofs of concept to production in a client-facing consulting setting. This role centers on agentic workflows, retrieval pipelines, and ML models that drive business value for our clients.

This position offers a compelling benefits package and a collaborative culture that supports growth, impact, and professional development. You will work closely with Bain consultants and client teams to deliver practical AI solutions, balancing quality, speed, privacy, and adoption in enterprise environments.

Responsibilities

Design and build GenAI applications such as copilots, workflow automation, and decision-support tools for commercial teams using modern large language model stacks.
Implement agentic workflows with value, including tool use, multi-step execution, and human-in-the-loop controls, emphasizing reliability, safety, and clear failure modes.
Design and construct advanced search, retrieval, and knowledge pipelines across diverse data stores, covering indexing, metadata, relevance tuning, freshness, caching, access controls, and source attribution.
Develop robust agent capabilities including context engineering, memory and state management, orchestration, routing, and tool integration patterns.
Integrate AI solutions into enterprise environments and workflows (APIs, data systems, collaboration tools) while balancing quality, latency, cost, privacy, and adoption.
Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.
Deliver end-to-end ML solutions: data preparation, feature engineering, model selection, training, validation, testing, and performance analysis.
Apply suitable methods spanning classical ML and deep learning, including sequence, text, and image models where relevant.
Create reproducible training and evaluation pipelines with versioning, experiment tracking, robust validation, and documentation.
Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training versus post-training approaches.
Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate.
Implement MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.
Build evaluation and observability for GenAI and agentic systems: tracing, instrumentation, regression test suites, automated scoring, and iteration loops for prompt and policy optimization.
Design for secure enterprise deployment: access controls, auditability, handling of sensitive and PII data, and responsible AI guardrails.
Develop reusable components and accelerators that scale across client contexts, including templates, evaluation harnesses, connectors, and orchestration patterns.
Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and document technical approaches succinctly.
Collaborate with Bain consultants to prioritize technical decisions that unlock business value and support proposal shaping and scoping.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
3-5+ years of professional AI / ML engineering experience with strong backend fundamentals.
Proficiency in Python and experience building APIs / services (REST / gRPC) and integrating with enterprise systems.
Hands-on experience delivering LLM powered applications with attention to latency, cost, reliability, and security.
Experience building advanced retrieval and search systems (hybrid retrieval, vector search, reranking) and working across vector, graph, relational, document, and search data stores.
Experience implementing agentic patterns (context management, tool integration, orchestration, memory/state handling) with modern frameworks (LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops; solid judgment on when to apply agentic approaches.
Experience creating reusable skills, tools, and services for agent use, with schema validation (Pydantic) to enforce reliable data contracts.
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.
Experience deploying and operating services on AWS, GCP, and/or Azure, including environment management, reliability, observability, and scaling.
Experience with Docker and Kubernetes (or equivalents) and operating services in production (debugging, performance, resilience).
Proven ability to meet security, privacy, and governance requirements for AI systems (authentication/authorization, access controls, PII handling, enterprise risk controls).
Experience training, validating, and testing ML models with solid understanding of overfitting, generalization, and evaluation methodology.
Practical experience with feature engineering and data preprocessing for real-world datasets.
Familiarity with a broad set of ML algorithms (classical and deep learning) and the ability to select methods aligned with business constraints.
Familiarity with deep learning frameworks (PyTorch/TensorFlow) and ML lifecycle tooling (experiment tracking, model registry, feature store concepts).
Ability to operate effectively in ambiguous and complex environments, manage priorities, and deliver outcomes independently or with a team.
Excellent interpersonal and communication skills; able to explain technical decisions and results to mixed audiences.
Strong stakeholder management skills and comfort working directly with clients.

Technologies

Python
REST, gRPC
LangGraph
OpenAI Agents SDK
Pydantic AI
Docker
Kubernetes
AWS, GCP, Azure
PyTorch, TensorFlow
MCP

Compensation and Benefits

Base salary range of USD 128,500 to 171,500 annually, with variation by location and experience for states including Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California.
Annual discretionary performance bonus.
4.5% 401(k) company contribution, increasing after three years of service, fully vesting on start date.
Bain pays 100% of individual employee premiums for medical, dental, and vision coverage.
Generous paid time off including parental leave, sick leave, and holidays.
Paid life and long-term disability insurance.
Annual fitness reimbursements.
Other comprehensive benefits and wellness programs in line with Bain’s offerings.

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5d ago

Principal Data Scientist, IT Analytics

American Airlines Fort Worth, TX

Fort Worth, TX

5d ago

Full time Manager Advanced Analytics Data Analytics

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Job Description

This onsite Principal Data Scientist role in Fort Worth, TX leads the OR&AA analytics team within American Airlines IT, delivering advanced analytics capabilities and providing technical leadership across business units.

Responsibilities

Direct the OR&AA teams in designing, validating, and deploying analytical models, tools, and systems that improve customer satisfaction, profitability, and operational reliability.
Offer technical direction and strategic vision for analytics initiatives spanning the OR&AA team and the broader organization.
Lead initiatives to enhance policies, processes, and technology solutions affecting customers and staff.
Identify opportunities for competitive advantage through innovation, applying novel techniques in pioneering applications and measuring impact.
Build trusted relationships with business leaders; collaborate with partners to translate business needs into advanced analytics solutions.
Provide technical mentorship to team members within and beyond OR&AA.
Recognize technical gaps within the OR&AA team and coordinate training to raise the unit’s capabilities.

Requirements

A Master of Science degree in Data Science, ML/AI, Operations Research, Industrial Engineering, Statistics, Computer Science, or a related technical discipline.
At least five years of experience developing ML/AI, operations research, and analytics solutions.
A minimum of three years leading ML/AI, operations research, and analytics projects, formally or informally.
Two or more years of Python experience developing ML/AI, Generative AI, and operations research solutions.
Proven ability to cultivate strong relationships with business partners, IT counterparts, and external groups.
Proficiency in one or more domains such as ML/AI, Generative AI, Data Science, Statistics, Optimization, Simulation, or Forecasting.

Technologies

Python

Benefits

Travel perks
Health benefits
Wellness programs
401(k) program
Additional benefits

Education and Prior Job Experience (Preferred Qualifications)

5+ years of experience implementing large, complex projects.
2+ years building and deploying advanced analytics solutions to support Contact Centers and Digital Customer Experience.
2+ years building and deploying advanced analytics solutions to support Loyalty and Marketing.
2+ years building Large Language Model based solutions.
2+ years building Agentic AI solutions.
2+ years building NLP models.
2+ years building customer engagement and predictive customer analytics models.
2+ years building targeted offers and personalization models.
5+ years of Python experience developing machine learning/AI solutions.
2+ years developing analytical models in a Cloud environment.
2+ years working closely with software engineering teams to implement complex analytics solutions.
2+ years coordinating with privacy and legal teams.

Skills, Licenses & Certifications

Proven ability to cultivate robust relationships with IT counterparts, business partners, and external groups.
Ability to drive results with an aptitude for engaging employees across multiple workgroups.
Capability to prioritize a long list of potential projects within resource constraints.
Ability to thrive in a fast-paced environment and apply best practices.
Strategic thinking with sound judgment and initiative in decision making.
Capacity to manage multiple responsibilities concurrently while collaborating with others.
Excellent analytical, planning and organizational skills.
Experience working with Agile project management methodologies and tools.

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6d ago

Managed Services - Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Las Vegas, NV

Las Vegas, NV

6d ago

$124k - $280k/yr Full time Manager Senior Advanced Analytics

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Job Description

PwC's Technology Consulting practice seeks a Senior Data Engineer - Senior Manager to translate data into strategic guidance for client decisions. In an onsite role in Las Vegas, NV, you will lead cross-functional teams, shape data architectures, and coach delivery professionals to achieve measurable outcomes. The position offers a salary range of USD 124,000 to 280,000 per year and requires a Bachelor's degree plus at least six years of relevant experience.

Responsibilities

Develop innovative solutions to optimize business performance and enhance competitive advantage, including roadmap development.
Apply advanced analytics techniques to support client operations and strategic goals, including AWS data engineering and Redshift.
Build and maintain data pipelines and architectures to support business intelligence efforts using DataStage and ETL.
Implement data visualization tools to provide actionable insights and improve client outcomes, leveraging SQL Server and DB2.
Collaborate with stakeholders to identify data challenges and opportunities, ensuring managed services align with SLAs.
Coach and motivate teams to solve complex problems and deliver high-quality results.
Apply systems thinking to identify underlying problems and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, including CSAT-driven performance tuning.
Direct teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree
At least 6 years of experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave

The Opportunity

As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems.

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
Demonstrating advanced skills in data architecture development and data pipeline management
Utilizing Python and Java for complex data analysis and visualization
Excelling in business intelligence tools like QlikView and Oracle BI
Leading strategic questioning and stakeholder engagement initiatives
Applying systems thinking to identify and address underlying problems
Directing teams through complex and ambiguous situations

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9d ago

Senior Principal Data Scientist, Advanced Forecasting

Edwards Lifesciences Irvine, CA

Irvine, CA

9d ago

$145k - $205k/yr Full time Senior Advanced Analytics Analytics

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Job Description

The Senior Principal Data Scientist, Advanced Forecasting is based onsite in Irvine, CA and contributes to building and operationalizing statistical forecasting models and scenario planning at Edwards Lifesciences. The role partners with Finance and Anaplan and helps establish an Advanced Forecasting Center of Excellence. Salary range: USD 145,000 - 205,000 per year.

Responsibilities

Develop and maintain data driven forecasting models across time-series, AI/ML, causal/driver-based approaches, and probabilistic scenarios (Monte Carlo) to project key financial and operational outcomes such as revenue, margin, opex, and cash flow.
Serve as a strategic partner to the Anaplan planning program by defining data based forecasting requirements and ensuring outputs integrate cleanly into planning workflows.
Drive last mile adoption through templates, dashboards, documentation, and stakeholder training so teams consistently use statistical outputs in planning and reviews.
Communicate complex findings clearly through concise executive narratives, visuals, and data driven recommendations.
Establish model testing and validation routines (back testing, error metrics, drift monitoring) and document assumptions, limitations, and controls.
Collaborate with FP&A to align management forecasts with data driven insights from the statistical forecasts.
Design scenario and sensitivity frameworks that quantify tradeoffs, risks, and uncertainty, translating outputs into actionable insights for Finance and business leaders.
Stand up an Advanced Forecasting Center of Excellence, including modeling standards, reusable code and modules, data definitions, governance, and prioritization intake.
Collaborate with Data and IT to improve pipelines, data quality and governance, and automation; ensure models are scalable, maintainable, and auditable.
Fulfill other incidental duties as needed.

Requirements

Bachelor's Degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or Biostatistics.
Minimum experience: 4 years.
Experience requirement details: A minimum of ten years of experience including either industry or industry/education or equivalent work experience (OR eight years with a Masters OR four years with a PH.D).

Technologies

Python
R
SQL
Anaplan
Databricks
Azure
AWS
Oracle
JDE
Concur
Salesforce.com

Benefits

Competitive salaries
Performance based incentives
Wide variety of benefits programs to address the diverse individual needs of our employees and their families

COVID Vaccination Requirement

Edwards Lifesciences emphasizes protection of patients and healthcare providers. Accordingly, all patient facing and in hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply

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10d ago

AI Data Scientist Manager

PwC Tampa, FL

Tampa, FL

10d ago

$99k - $297k/yr Full time Manager Python Advanced Analytics

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Job Description

PwC is seeking an AI Data Scientist Manager to lead data science initiatives within the Data and Analytics Engineering practice. The role combines guiding teams, delivering AI and ML solutions, and turning raw data into actionable business insights that inform decision-making. This is a full-time onsite position based in Tampa, FL, with locations across Tampa, Boston, and New York.

Responsibilities

Lead data science initiatives to convert raw data into actionable insights that support informed decisions.
Guide teams in applying advanced analytics and statistical methods to solve complex business problems.
Develop and implement data models and algorithms to improve predictive capabilities.
Oversee the creation and maintenance of data pipelines and data lakes for large-scale processing.
Apply machine learning and deep learning techniques to foster innovation and strengthen data-driven strategies.
Collaborate with stakeholders to identify opportunities for leveraging data to grow the business.
Coach team members to enhance skills in data science workflows and troubleshooting.
Validate data quality and integrity within analytics frameworks to ensure reliable insights.
Encourage adoption of innovative technologies and methods in data science projects.
Manage project timelines and deliverables to align with client expectations and objectives.
Apply statistical analysis, machine learning, data preparation, experimentation, and model evaluation to develop and validate AI/ML solutions.
Use Python, data science libraries, model validation methods, and modern AI/ML approaches (including generative AI where relevant) to communicate insights to business and technical stakeholders.
Demonstrate proficiency in data science algorithms and workflows, and employ ML and DL techniques effectively.
Excel in complex data analysis and predictive modeling while managing data pipelines and ensuring data quality.
Leverage programming languages for data engineering tasks and embrace change to foster innovation in projects.

Requirements

Bachelor's degree required
Minimum of 4 years of experience

Technologies

Python

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Job Details

Job ID: 738318WD
Category: Data and Analytics Engineering
Time Type: Full time
Specialty/Competency: Data Science
Level: Manager
Travel Requirements: Up to 20%
Locations: Tampa, Boston, New York

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10d ago

AI Data Scientist Senior Associate

PwC Tampa, FL

Tampa, FL

10d ago

$72k - $212k/yr Full time Advanced Analytics Analytics Artificial Intelligence

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Job Description

PwC is hiring an AI Data Scientist Senior Associate in Tampa, FL onsite, offering a salary range of USD 72,000 - 212,000 per year and opportunities to support client solutions across Tampa, Boston, and New York with travel up to 20%.

Responsibilities

Apply advanced analytics and statistical methods to draw insights from large datasets
Design and implement robust data solutions that convert raw data into actionable outcomes
Perform exploratory and descriptive analyses to inform strategic decisions
Use machine learning algorithms and predictive modeling to address complex business problems
Create data visualizations that clearly communicate insights and support data driven decisions
Collaborate with clients to understand data needs and deliver tailored solutions
Manage data pipelines and ensure data quality and integrity throughout analyses
Apply data science workflows and troubleshooting techniques to optimize performance
Commit to ongoing learning to deepen technical skills and stay current with emerging technologies
Mentor junior team members and foster a collaborative team environment
Develop and validate AI/ML solutions using statistical analysis, data preparation, experimentation, and model evaluation
Utilize Python and data science libraries, institute model validation methods, and leverage modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to stakeholders
Demonstrate proficiency in data science algorithms and workflows
Apply machine learning and deep learning techniques effectively
Excel in complex data analysis and predictive modeling
Leverage experience with data engineering and data pipelines
Apply knowledge of natural language processing and neural networks
Navigate ambiguity while building strong client relationships

Requirements

Bachelor's degree required
2 years of experience required

Technologies

Python

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance