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1mo ago

Analytics Engineer, Employee Technology Support

Bloomberg New York, NY

New York, NY

1mo ago Closed

$110k - $130k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Analytics Engineer on Bloomberg's Employee Technology Support (ETS) team designs data models, ETL pipelines, and dashboards to turn operational data into decision-ready insights and improve support operations. You will own data solutions end-to-end and collaborate across Engineering, Product, and business stakeholders. This onsite role is based in New York, NY with a salary range of USD 110,000 to 130,000 per year.

Responsibilities

Collaborate with Employee Technology Support teams to understand operational challenges and design scalable data solutions.
Create and maintain robust data models, ETL pipelines, and automated data flows using SQL, Python, and Qlik Sense.
Build dashboards, KPIs, and operational metrics that measure service performance, workload, employee experience, and operational efficiency.
Architect and optimize the data layer powering operational reporting, ensuring it is performant, well-documented, and reusable.
Perform data profiling, trend analysis, and root cause investigation to identify opportunities for process improvement.
Design and implement automated data validation and monitoring to improve data quality, consistency, and reliability.
Modernize legacy reporting and analytical workflows through automation and scalable solution design.
Translate business requirements into intuitive visualizations and actionable insights for technical and non-technical stakeholders.
Collaborate with Engineering and Product teams to improve data architecture, reporting capabilities, and system scalability.
Establish best practices around data modeling, pipeline design, reporting standards, and analytics development.
Communicate project progress, findings, and recommendations to stakeholders and senior leadership.
Own data solutions throughout their lifecycle, ensuring they remain accurate, reliable, and aligned with evolving business needs.

Requirements

Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Information Systems, Data Analytics, or a related STEM discipline.
3+ years of experience building data engineering, business intelligence, or analytics solutions.
Advanced SQL skills and experience working with large relational datasets.
Strong Python development experience for data engineering, automation, and ETL workflows.
Experience building scalable data models, pipelines, reporting solutions, and dashboard applications.
Experience with Qlik Sense, Tableau, Power BI, or similar visualization platforms.
Strong understanding of data quality, validation techniques, and operational reporting.
Experience performing root cause analysis and translating findings into business recommendations.
Ability to manage multiple projects, independently prioritize work, and deliver high-quality solutions.
Excellent communication skills, with the ability to explain complex technical concepts to business stakeholders.

Technologies

SQL
Python
Qlik Sense
Tableau
Power BI

Benefits

Merit increases
Incentive compensation (exempt roles only)
Paid holidays
Paid time off
Medical
Dental
Vision
Short and long term disability benefits
401(k) matching
Life insurance
Wellness programs

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1mo ago

Data Scientist

Agile Defense Tampa, FL

Tampa, FL

1mo ago Closed

Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Agile Defense is seeking a Data Scientist to design, develop, and deploy scalable AI-enabled data solutions for the DoD CDAO ADA IR program. The role operates within a multidisciplinary team in secure containerized environments, turning complex data into decision-ready insights for mission-critical applications.

You will collaborate across product management, software engineering, platform teams, and mission stakeholders to transform raw data into actionable analytics and decision-support tools.

Responsibilities

Support the design, development, and deployment of scalable, AI-powered data solutions within the DoD CDAO ADA IR program.
Join a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices into mission-critical environments across Combatant Commands.
Design and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside secure, containerized environments.
Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to convert raw data into meaningful insights and decision-support tools.

Requirements

4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, or PySpark.

Technologies

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

Requisition

1590

Location

Falls Church, VA
Ft. Meade, MD
Stuttgart, Baden-Württemberg, Germany
Tampa, FL
Honolulu, HI (Camp H.M. Smith)
Colorado Springs, CO
Doral, FL
Omaha, NE
Scott Air Force Base, IL

Clearance

Top Secret with the ability to obtain an SCI. Must have clearance to start.

Education and Background

Bachelor's degree plus 3 years of recent specialized experience
Associate's degree plus 7 years of recent specialized experience
Major certification plus 7 years of recent specialized experience
11 years of recent specialized experience

Preferred Skills

Experience developing ML models from training to deployment using industry-standard tools and libraries (eg, scikit-learn, TensorFlow, XGBoost, MLflow).
Familiarity with MLOps, API development, and secure cloud-based environments (AWS, Azure, Palantir Foundry).
Strong understanding of data validation, model testing, and performance evaluation techniques.
Experience with data visualization and storytelling using Tableau, Plotly, or Matplotlib.
Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.

Working Conditions

Requires work onsite in a SCIF.

Core Values

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

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1mo ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

1mo ago Closed

Full time AI Ai Ml Amazon Bedrock

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Hudson Manpower is seeking a GenAI / Machine Learning AI / Data Scientist for a remote, W2-only engagement. The role targets professionals with 10+ years of hands-on experience who will focus on developing prototypes, PoCs, and MVPs using AI and GenAI capabilities.

Location

Sunnyvale, CA (remote)

Responsibilities

Ability to develop prototypes, PoCs, MVPs using one or more of the following,

Requirements

Fully remote position
H1B sponsorship is not available; all other candidates may apply
Engagements on a W2 basis only
Minimum 10 years of experience in AI/ML
Solid foundation in AI, deep learning, and machine learning principles
Proficiency in Python and tools such as Hugging Face, Langchain, and the OpenAI API
Hands-on experience with TensorFlow, Keras, and PyTorch
Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Experience with multi-modal data and intelligent agent-based tools
Self-motivated with a collaborative and innovative mindset and a passion for solving hard AI/GenAI problems

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

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1mo ago

Data Scientist

Agile Defense Washington, DC

Washington, DC

1mo ago Closed

$130k - $155k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Agile Defense offers a mission driven environment where data science and engineering converge to deliver AI enabled data solutions for Department of Defense programs. You will join a multidisciplinary team executing advanced analytics, machine learning, and decision support tools in mission critical settings. This onsite role in Washington, DC offers a competitive salary of USD 130,000 to 155,000 per year, plus comprehensive health, retirement, and learning and development opportunities. The position is based in a SCIF at the Pentagon, reflecting a secure, collaborative work culture.

What you will do

Contribute to the design, development, and operational deployment of scalable AI enabled data solutions within the DoD CDAO ADA IR program.
Shape and deploy data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside secure, containerized environments.
Collaborate with product managers, full stack developers, platform engineers, and mission stakeholders to turn raw data into meaningful insights and decision support tools.
Work as part of a multidisciplinary team that integrates advanced analytics, machine learning, and engineering practices in mission critical environments across Combatant Commands.

Requirements

4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
Proficiency in Python, SQL, and distributed data frameworks such as Spark, Databricks, and PySpark.
Experience moving ML models from training to deployment using industry standard tools and libraries (eg, scikit-learn, TensorFlow, XGBoost, MLflow).

Technologies

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

Benefits

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short-term Disability
Long-term Disability
Retirement
Learning and Development opportunities
Other optional benefit elections

Education and Background

A bachelor's degree plus 3 years of recent specialized experience, OR an associate's degree plus 7 years of recent specialized experience, OR a major certification plus 7 years of recent specialized experience, OR 11 years of recent specialized experience.

Experience

Minimum 3 years of relevant work experience, with the exact requirement varying by educational path.

Working conditions

Onsite in a SCIF at the Pentagon, Washington, DC.

Our core values

Happy - Be Infectious. Happiness multiplies and fosters a positive, connected environment that amplifies motivation and satisfaction.
Helpful - Be Supportive. Collaboration thrives when teammates are genuinely helpful, driving collective success.
Honest - Be Trustworthy. Transparency and ethical conduct guide all actions in complex domains.
Humble - Be Grounded. Humility supports mutual respect and openness to learning and collaboration.
Hungry - Be Eager. A strong drive for excellence fuels innovation and continuous improvement.
Hustle - Be Driven. A relentless work ethic propels the mission forward and ensures dependable results.

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1mo ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

1mo ago Closed

Full time Artificial Intelligence Data Science Genai

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Hudson Manpower offers a fully remote GenAI, machine learning, and data science role designed for senior practitioners. This is a 100% remote, W2 opportunity requiring 10+ years of hands-on experience. No H1B sponsorship is available. The position supports flexible work arrangements and invites experienced professionals who thrive in collaborative, innovative environments to contribute to advanced AI initiatives.

The team values a proactive mindset and a deep commitment to solving hard problems with GenAI and AI methods. If you excel in autonomous yet collaborative work, this role provides an environment to influence real-world AI outcomes while maintaining a strong focus on quality and impact.

Responsibilities

Develop prototypes, PoCs, and MVPs using Python and related GenAI/ML frameworks and tools, including Hugging Face, Langchain, OpenAI API, TensorFlow, Keras, PyTorch, Google Model Garden, Amazon Bedrock, and Nvidia Nim.

Requirements

No H1B candidates
Only W2 candidates
Experience: 10+ years
100% remote

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Skill Sets

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming Skills: Proficiency in Python and tools like Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative, with a passion for solving hard AI problems

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1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Mobile, AL 🇺🇸 Remote

Mobile, AL

1mo ago Closed

$50 - $100/hr Contract Senior Ai Training Analytics

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

DataAnnotation is seeking a Senior Data Scientist - AI Trainer for a remote contracting role based in Alabama to train AI models by evaluating AI-generated quantitative work and providing feedback to improve quantitative reasoning.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and timing, on your own computer from home.
Competitive pay: hourly rates from USD 50 to 100, with bonus opportunities on select projects.
Impact: contribute to shaping AI systems for quantitative reasoning in data and analytics.

Note

Payments are issued via PayPal. We will never ask for money from applicants. This position is open to candidates in the US, Canada, the UK, Ireland, Australia, and New Zealand.

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1mo ago

Data Scientist

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

1mo ago Closed

Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Join Neptune Technology Group as a Data Scientist and contribute to our water utility intelligence platform. This onsite role in Duluth, GA centers on turning large-scale IoT data from water meters into actionable insights, collaborating with product, engineering, and analytics teammates to deploy data science solutions into production, and advancing predictive capabilities for water systems. You will work with the Neptune 360 platform and cloud-based data infrastructure, staying current with developments in machine learning and data science while growing your technical skills.

Responsibilities

Collaborate with team members to develop and deploy machine learning models and data science solutions.
Partner with Product Management to translate requirements into analytical approaches.
Develop models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
Analyze large-scale time-series data from IoT devices and water utility operations.
Build data processing workflows using Python, SQL, and distributed computing frameworks.
Conduct exploratory data analysis to uncover patterns, trends, and insights in utility data.
Perform feature engineering and model experimentation to boost predictive performance.
Create data visualizations and reports to communicate findings to stakeholders.
Implement data quality checks and validation procedures for analytics pipelines.
Collaborate with software engineers to integrate ML models into the Neptune 360 platform.
Monitor model performance and contribute to the maintenance of production ML systems.
Document analytical methodologies, code, and model implementations.
Participate in code reviews and follow data science best practices.
Work with cloud-based data infrastructure and ML tools, with AWS preferred.
Stay current with advances in machine learning and data science techniques.
Participate in sprint planning and demonstrate completed work at the end of each iteration.
Support senior data scientists on complex analytical projects.
Continuously develop technical skills through self-directed learning and training.

Requirements

3+ years of experience in data science, machine learning, or related analytical roles.
3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
Strong experience with SQL and relational databases.
Experience building and evaluating machine learning models.
Understanding of statistical analysis and experimental design principles.
Experience with data visualization tools and techniques.
Familiarity with cloud platforms (AWS, Azure, or GCP).
Experience with version control systems (Git).
Understanding of software development best practices.
Ability to work in Agile or iterative development environments.
Strong problem-solving skills and attention to detail.
Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Demonstrated ability to learn new technologies and tools quickly.
Continued professional development through courses, certifications, or projects.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.