Data Mining

Data Mining Engineer Jobs

5 jobs found

30d ago

Principal Machine Learning Engineer

FactSet Research Systems Connecticut 🇺🇸 Remote

Connecticut

30d ago Closed

$177k - $217k/yr Full time Manager Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

Connecticut (remote) Principal Machine Learning Engineer role focused on advancing AI-driven solutions. You will lead technical efforts that apply machine learning to text data classification and natural language processing, collaborating with product teams to connect model capabilities to strategic business goals. This is a remote position in the United States, with exclusions for certain states.

Compensation: USD 177,000 - 217,000 per year.

Responsibilities

Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions.
Build and evaluate diverse machine learning models, with emphasis on optimizing techniques for text data classification and NLP.
Collaborate on AI initiatives that transform data insights and enhance domain-specific applications by integrating multiple machine learning approaches to achieve improved outcomes.
Act as a key technical leader and provide thought leadership on best practices in the field.
Work cross-functionally with product teams to align AI capabilities with strategic business goals.
Stay current with emerging technologies and trends to improve the effectiveness of AI solutions over time.

Requirements

Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
6 years of related technical experience.
3 years experience with:
- Node.js
- MongoDB
- RabbitMQ
- A caching technology such as Redis or Memcached
- Git
- Restful Web Design
- Working with times series data
- Python
- Elasticsearch
- scikit-learn
- Numpy
- Spacy
3 years experience applying ML techniques (SVM, logistic regression, Decision Trees, Random Forest, XGBoost, deep learning such as RNN/LSTM) on text data for domain-specific text classifications.
3 years experience with NLP processing in mining data, including cleaning, pre-processing, and transformation.
3 years experience combining multiple ML approaches like active/supervised/semi-supervised learning to achieve better results.
3 years experience developing tagged data sets.

Technology Stack

Node.js, MongoDB, RabbitMQ, Redis, Memcached
Git, Restful Web Design
Python, Elasticsearch
scikit-learn, Numpy, Spacy
SVM, logistic regression, Decision Trees, Random Forest, XGBoost
RNN, LSTM
active/supervised/semi-supervised learning

Location

Remote Position: This position may be performed remotely in the United States.
Remote work is not permitted in: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.
FactSet Research Systems Inc., 45 Glover Avenue, 7th Floor, Norwalk, CT 06850.

To Apply

Apply online at FactSet Careers Search for Jobs for Req Job Number R32928.

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1mo ago

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology Seattle, WA

Seattle, WA

1mo ago Closed

$142k - $199k/yr Full time Advanced Analytics Ai Ml Analytics

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Build scalable machine learning services for ad selection and decisioning across Disney Entertainment and ESPN platforms.

Responsibilities

Design, implement, and test ad-serving logic that satisfies business criteria using rule-based and/or ML-based approaches
Deliver solutions for a high-throughput, low-latency microservices environment
Improve system observability by defining and implementing metrics, monitors, and alerts
Review product user stories and translate them into actionable backend and frontend tasks
Own one or more areas of the team’s domain
Use automated AI tools in accordance with company policy
Participate in On-Call rotations per the team’s escalation policy and support schedule

Requirements

BS or MS in Computer Science / Engineering or relevant work experience
5+ years of software engineering with ML experience
Proficiency with Java
Experience with large scale ML/DL platforms and processing technology stacks
Hands-on large scale machine learning experience with tools such as scikit-learn, Spark MLLib, and pytorch
Experience building LLM-based applications using providers such as AWS Bedrock, Azure Cognitive Services, or Google Vertex AI
Experience with agent frameworks including LangGraph, Crew AI, and strands sdk
Experience with vector databases and retrieval-augmented generation
Demonstrated analytical and problem-solving skills; strong knowledge of implementing AI/ML and applying mathematical and statistical concepts
Strong communication and collaboration with both technical and non-technical partners

Technologies

Java, SpringBoot, Spring
scikit-learn, Spark MLLib, pytorch
AWS Bedrock, Azure Cognitive Services, Google Vertex AI
LangGraph, Crew AI, strands sdk
Vector databases, retrieval-augmented generation
DynamoDB, Redis, ValKey, MemCache
Apache Kafka, Kinesis
AWS, Terraform, Docker, Kubernetes

Preferred Qualifications

Experience with SpringBoot and related Spring projects
Experience with DynamoDB and other non-relational databases
Experience with caching datastores such as Redis, ValKey, or MemCache
Experience with data streaming mechanisms such as Apache Kafka and/or Kinesis
Experience with AWS
Experience with modern DevOps tools including Terraform, Docker, and Kubernetes
Domain knowledge in Ad Tech

Location & Schedule

Seattle, WA (onsite)
Engineers are expected to be in the office four days a week
Also hiring in Glendale, Seattle, San Francisco, or Santa Monica

Salary

USD 141,900 - 199,400 per year

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1mo ago

Machine Learning Engineer

Photon New Jersey

New Jersey

1mo ago Closed

Full time Python Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Photon offers an onsite role in New Jersey that emphasizes collaboration, real-world impact, and continuous growth. As a Machine Learning Engineer, you will design and deploy analytics models that address concrete business challenges, partner with product and engineering teams to deliver end-to-end ML solutions, and push models into production. This position centers on practical application of statistics and machine learning using Python, Spark, and Databricks, with the opportunity to influence customer experiences and key business decisions.

Responsibilities

Analyze business use cases and craft analytics models using appropriate statistical and machine learning techniques tailored to specific needs.
Develop machine learning algorithms to personalize customer experiences and generate actionable insights.
Apply data mining and machine learning methods, including forecasting, prediction, segmentation, recommendation, and fraud detection.
Augment company data by integrating third-party sources to expand analytics capabilities.
Enhance data collection processes to capture information essential for analytics systems.
Prepare raw data for analysis by cleaning data, imputing missing values, and standardizing formats using Python data frameworks such as Pandas and NumPy.
Implement machine learning models with a focus on performance and scalability using PySpark in Databricks.
Design and build infrastructure to enable large-scale data analytics and experimentation.
Utilize tools like Jupyter Notebooks for data exploration and model development.

Requirements

Undergraduate or graduate degree in Computer Science, Mathematics, Physics, or related fields; PhD preferred but not necessary.
At least five years of experience in data analytics with a solid grounding in core statistical algorithms such as classification and regression.
Strong experience with Python based machine learning libraries including scikit-learn, TensorFlow, and PyTorch.
Proficiency with analytics platforms like Databricks for large-scale data processing.
At least four years of continuous experience with Spark, with emphasis on PySpark.
Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.

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1mo ago

Modeling and Simulation Engineer - Data Analytics (Engineer or Principal Engineer Level)

Northrop Grumman San Diego, CA

San Diego, CA

1mo ago Closed

$92k - $171k/yr Full time Senior Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Modeling and Simulation Engineer - Data Analytics at Northrop Grumman Aeronautics Systems in San Diego, CA, focuses on designing data mining pipelines, performing statistical analysis, and building dashboards to support data-driven decisions within the Sustainment Systems Engineering team on the Triton Enterprise. This role is offered at Engineer or Principal Engineer level with a salary range of USD 91,800 to 171,000 per year.

Responsibilities

Data Architecture & Modeling – Design scalable data mining pipelines, establish protocols for data ingestion, cleaning, transformation, and storage. Evolve models to capture long term trends and support real time analytics.
Statistical Insight – Perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources.
Visualization & Reporting – Create interactive dashboards and reports using modern BI and visualization tools (e.g., MATLAB, Tableau, Power BI, Plotly) to communicate insights to technical and non technical stakeholders.
Cross Functional Collaboration – Partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
Innovation & Knowledge Leadership – Stay abreast of cutting edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contexts. Mentor teams and promote a culture of data driven decision making.
Governance & Quality – Establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.

Requirements

Must have a Bachelors of Science degree in a STEM field and at least 2 years of relevant military / professional experience, OR a Master's Degree in a STEM field and at least some of relevant military / professional / academic experience
Must have a Bachelors of Science degree in a STEM field and at least 5 years of relevant military / professional experience, OR a Master's Degree in a STEM field and at least 3 years of relevant military / professional experience, OR a PhD and at least 1 year of relevant military / professional / academic experience
Must have an active US Government Secret or higher clearance (with a background investigation completed within the last 6 years or currently enrolled into Continuous Evaluation)
Must have the ability to obtain and maintain Special Access Program (SAP) clearance within a reasonable amount of time as determined by business needs
Must have experience in ingesting, processing, storing, analyzing and visualizing large data sets

Technologies

Python
SQL
Tableau
MATLAB
Power BI
Plotly
.DAT file decoding

Benefits

Health insurance coverage
Life insurance
Disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business
Long Term Incentives

Relocation Assistance

Relocation assistance may be available

Clearance Required for Start

Yes

Clearance Type

Secret

Travel

Yes, 10% of the Time

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1mo ago

Modeling and Simulation Engineer - Data Analytics

Northrop Grumman San Diego, CA

San Diego, CA

1mo ago Closed

$92k - $138k/yr Full time Analyst Analytics Big Data

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

This onsite role, Modeling and Simulation Engineer - Data Analytics, is based in San Diego, CA, and focuses on designing data mining pipelines, performing statistical analyses, building dashboards, and supporting data-driven decision making within the Triton Enterprise Sustainment Systems Engineering program for Northrop Grumman Aeronautics Systems.

Responsibilities

Data Architecture & Modeling – Design scalable data mining pipelines, establish ingestion, cleaning, transformation, and storage protocols, and evolve models to capture long term trends to support real-time analytics.
Statistical Insight – Conduct exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers across heterogeneous data sources.
Visualization & Reporting – Develop interactive dashboards and reports using tools such as MATLAB, Tableau, Power BI, and Plotly to communicate insights to both technical and non-technical stakeholders.
Cross Functional Collaboration – Partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
Innovation & Knowledge Leadership – Stay current with cutting edge data science methodologies including deep learning and reinforcement learning, assess their relevance to defense contexts, mentor teams, and promote a data-driven decision making culture.
Governance & Quality – Establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.

Requirements

Bachelor of Science in a STEM field with at least 2 years of relevant military or professional experience, OR a Master’s Degree in a STEM field with some relevant military, professional, or academic experience.
Bachelor of Science in a STEM field with at least 5 years of relevant military or professional experience, OR a Master’s Degree in a STEM field with at least 3 years of experience, OR a PhD with at least 1 year of relevant military, professional, or academic experience.
Active US Government Secret or higher clearance with a background investigation completed within the last 6 years or currently enrolled in Continuous Evaluation.
Ability to obtain and maintain Special Access Program (SAP) clearance within a timeframe determined by business needs.
Experience ingesting, processing, storing, analyzing, and visualizing large data sets.

Technologies

MATLAB
Tableau
Power BI
Plotly
Python
SQL
.DAT file decoding

Benefits

Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
PTO for vacation and/or personal business
Annual bonuses
Long Term Incentives
Discretionary bonus

Relocation Assistance

Relocation assistance may be available

Clearance Required for Start

Yes

Clearance Type

Secret

Travel

Yes, 10% of the Time

Salary

Primary level salary range: $91,800.00 - $137,600.00 per year

Secondary level salary range: $114,000.00 - $171,000.00 per year

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Data Mining Engineer Jobs

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Modeling and Simulation Engineer - Data Analytics (Engineer or Principal Engineer Level)

Modeling and Simulation Engineer - Data Analytics

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