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Today

Data Scientist, Full Stack

IREN San Francisco, CA

San Francisco, CA

Today

$190k - $240k/yr Full time Analytics Apache Airflow Aws Data Warehouse

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Job Description

This individual-contributor role supports modernization of IREN’s global Supply Chain systems. The position focuses on building and operating data pipelines, data models, dashboards, and contributing to data architecture and standards across supply chain and procurement analytics.

Role Overview

The work spans supply chain, procurement, ERP and integration, data quality and governance, and analytics enablement for planning and forecasting use cases. Reporting to the Director, Supply Chain Analytics & Engineering, you will build reliable data flows from operational sources into an analytics platform and partner with analysts and data science teammates to deliver decision-ready datasets.

Responsibilities

Design, build, and maintain reliable ELT/ETL pipelines from supply chain source systems (ERP, procurement/P2P, inventory and warehouse, project controls, logistics, and supplier portals) into the analytics platform.
Integrate external data sources including supplier catalogs, lead-time and market-price feeds, freight and customs data, and OEM shipment notifications.
Operate and improve pipeline orchestration, scheduling, monitoring, and alerting to ensure timely data delivery and early failure detection.
Build and document the supply chain data model, including supplier, material/part, purchase order, contract, receipt, inventory, shipment, and project/site dimensions and facts.
Help define conformed dimensions and master-data rules (supplier hierarchy, category taxonomy, site and project codes) under the guidance of the Director, Supply Chain Analytics & Engineering and master-data owners.
Follow and refine team engineering standards including version control, code review, testing, environments, and deployment.
Implement automated data-quality checks (completeness, freshness, reconciliation to source) and publish data-quality metrics.
Maintain data lineage, definitions, and a catalog so analysts and business users can trust and find the data.
Implement the defined security model and privacy safeguards, address data-quality issues, and contribute to governance processes within assigned ownership areas.
Partner with analysts to deliver datasets for spend cubes, supplier scorecards, lead-time and on-time-delivery tracking, inventory health, and transformation KPIs.
Design, build, and launch dashboards and visualizations supporting multiple use cases across different domains.
Contribute to forecasting and planning data foundations (demand and lead-time forecasting, should-cost, supplier risk) and support analytics and data science teams in productionizing models.
Support system-selection and implementation work for procurement, planning, and supplier-management tools by defining data requirements and integration patterns.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, Supply Chain, or a related field, or equivalent practical experience.
5+ years in data engineering or data science, including at least 1 year building pipelines and data models for supply chain, procurement, operations, or finance data.
Strong data-driven storytelling skills for communicating clearly to both technical and business audiences.
Working understanding of supply chain processes and stakeholder interactions, with experience using ERP/MRP and tools such as CLM, PLM, and QMS.
Strong SQL and Python; familiarity with dbt or an equivalent transformation framework.
Hands-on experience with a modern cloud data platform (Snowflake, Databricks, BigQuery, or Redshift) and an orchestration tool (Airflow, Dagster, Prefect, or similar).
Exposure to AI-native analytics tools and workflows.
Experience working with ERP and procurement data (for example SAP, Oracle, NetSuite, Dynamics, Coupa, or Ariba) via APIs, extracts, or CDC.
Working knowledge of dimensional modeling, master-data concepts, and data-quality practices.
Software engineering fundamentals including Git, code review, automated testing, and CI/CD basics.
Preferred: experience in data center, AI infrastructure, energy, construction, or other capital-project-heavy industries with long-lead equipment (GPUs, networking, transformers, switchgear, generators).
Strong hands-on problem solving, data analysis, and communication skills with the ability to operate autonomously across analytics, engineering, and supply chain teams.

Technologies

SQL, Python, dbt, Snowflake, Databricks, BigQuery, Redshift, Airflow, Dagster, Prefect, SAP, Oracle, NetSuite, Dynamics, Coupa, Ariba, ELT/ETL, APIs, CDC, Git, CI/CD, ERP/MRP, CLM, PLM, QMS

Compensation

The expected base salary range for this role is USD $190,000 to $240,000 per year. The total compensation package may include an annual incentive bonus and equity (long-term incentive). Relocation or living-out allowance/per diem may be provided when applicable and based on candidate circumstances.

Benefits

100% company-paid health insurance premiums (medical, dental, and vision) for employees; 75% company-paid coverage for dependents.
Company-paid short-term and long-term disability insurance.
Voluntary life, critical illness, and accident coverage.
Health Savings Accounts (HSA) when combined with the High Deductible Health Plan.
Employee Assistance Program and wellness resources.
401(k) retirement plan with company match.
Access to financial planning and legal services.
Paid Time Off (PTO) and paid holidays.
Internal skills training and advancement pathways.
Professional development support for certifications, continuing education, or role-related training.
Company events and team-building activities.

Job Type and Location

Job Type: Full-Time
Location: San Francisco, CA (hybrid)
Work Location Type: #hybrid

Additional Job Requirements

Pre-employment screening, including background check and substance testing, may be required according to company policies.
Must be able to reliably commute to the assigned office location on scheduled in-office days under the hybrid arrangement.
Willingness to travel domestically and internationally to supplier and vendor sites, data centers, implementation partner locations, and industry events is required.
IREN does not yet have an office in the Bay Area (a Santa Clara office is planned). Until it opens, this role will be remote and will transition to hybrid on-site work once the office is established.

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1d ago

Data Engineer

Trinzic Camarillo, CA

Camarillo, CA

1d ago

Full time Big Data Data Analysis Data Analytics

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Job Description

Enable data-driven decision analysis for Department of Defense modernization by applying data science, machine learning, and operations research.

Analytic consulting to support analytic workflow and product development and testing
Promote adoption of data science methods and best practices
Conduct applied methods projects
Support creation of analysis-ready data
Provide stakeholders with the analytical tools, data products, and reports needed for data-driven recommendations
Assist analyst and technical stakeholders as well as non-analyst and non-technical stakeholders
Analyze DoD datasets and communicate insights gained from DoD Test and Evaluation (T&E) data
Communicate effectively at programmatic and technical levels, with support from data science teammates and software engineering and system administration teams
Run and operate CHEETAS (and related tools)
Demonstrate CHEETAS and related tools to stakeholders and VIPs
Convey analysis results and adapt internally-developed tools, notebooks, and reports to meet emerging needs
Gather use cases, requirements, gaps, and needs, and submit them as feature requests or bug reports to the CHEETAS development team
Perform impromptu hands-on training sessions with end users and support troubleshooting as needed
Work independently with minimal supervision and little direct tasking

Requirements

Active or current TS/SCI Clearance required
Degree in operations research, engineering, applied math, statistics, computer science, or information technology
Preferred 15+ years of experience within DoD
10-15 years of DoD experience considered on a case-by-case basis
Entry level candidates not considered
At least 5 years hands-on experience in big data analytics
At least 5 years hands-on experience with object-oriented and functional languages (e.g., Python, R, C++, C#, Java, Scala)
Experience dealing with imperfections in data
Competency in software engineering and programming, statistical analysis, data mining algorithms, machine learning, and modeling to inform technical choices and infrastructure configuration
Proven experience preparing and handling large volumes of data for ETL processes
Experience working with teams to develop and interpret results of analytic products using DoD-specific data types
Experience installing, configuring, and using big data infrastructure (e.g., Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, VMWare)
Experience implementing data visualization solutions
Experience with scripting languages Python and R to process, analyze, and visualize data
Experience using Jupyter Notebooks and RMarkdown to create reproducible and explainable products
Experience using interactive visualization tools (e.g., RShiny, pyShiny, Dash)
Experience generating and presenting reports, visualizations, and findings to customers
Experience building and optimizing “big data” data pipelines, architectures, and datasets
Experience cleaning and preparing time series and geospatial data
Experience working with Windows, Linux, and containers
Experience with SQL and querying databases; ability to work with and configure distributed storage and computing environments (e.g., Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, Accumulo, HBase)
Experience working with code repositories in a collaborative team
Ability to make insightful recommendations based on data-driven analysis and customer interactions
Ability to communicate effectively orally and in writing with customers and teammates
Ability to present findings to large technical and non-technical groups
Ability to create documentation and repeatable procedures to enable reproducible research
Ability to create training and educational content for novice end users on tool usage and novel analytic methods
Ability to solve problems, debug, and troubleshoot under pressure and time constraints
Self-motivated to design, develop, enhance, reengineer, or integrate software to improve data outputs for end users
Ability to work with data scientists to develop and implement the best technical design and approach for new analytical products
Strong analytical skills with both structured and unstructured datasets
Excellent programming, testing, debugging, and problem-solving skills
Experience designing, building, and maintaining new and existing data systems and solutions
Understanding of ETL processes and experience implementing ETL processes
Knowledge of message queuing, stream processing, and extracting value from large disparate datasets
Knowledge of software design patterns and Agile Development methodologies required
Knowledge of operations research, statistical and machine learning, data science, and computer science methods sufficient to select appropriate approaches for data preparation and computing architecture configuration
Knowledge of programming concepts, data structures, and storage architecture including relational and non-relational databases, distributed computing frameworks, and modeling and simulation experimentation sufficient to select appropriate methods

Technologies

CHEETAS
Python, R, C++, C#, Java, Scala
SQL
Jupyter Notebooks, RMarkdown
RShiny, pyShiny, Dash
Spark, Trino, Hadoop, Hive
Neo4J, JanusGraph, HBase
MS SQL Server with Polybase
VMWare
MongoDB, Accumulo
ETL
Containers
Windows, Linux
Agile Development methodologies

Location

Onsite in Camarillo, California

Travel Requirements

Requires 25% travel, with potential surges to 50%
Travel to support end users at various DoD ranges and labs across the US, including Alaska and Hawaii
When not supporting a site, may work remotely or from a nearby KBR office (if available and desired)

Working Hours

40 hours per week
Standard schedule; you may be the only team member physically on-site providing support, but you will not be alone

Compensation

$135,000 - $183,00 (California Only)
Offered rate based on knowledge, skills, abilities, and/or experience and internal parity
KBR may offer bonuses, commissions, or other forms of compensation per internal policy or contractual designation
Additional compensation may include sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

Trinzic Spin-Off Timing

Trinzic is the future independent company created through the planned spin-off of KBR’s Mission Technology Solutions business, expected in January 2027
Candidates joining KBR’s Mission Technology Solutions business before the spin-off will transition to Trinzic when separation is complete and will not need to reapply

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3d ago

Data Scientist (LAP)

Ford Motor Company Louisville, KY

Louisville, KY

3d ago

$87k - $145k/yr Full time Python Analytics Artificial Intelligence

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Job Description

Join Ford’s Manufacturing team and help turn Industrial Internet of Things (IIoT) signals into practical insights. This on-site full-time Data Scientist role focuses on end-to-end analytics, from ingesting MQTT data to processing in Google Cloud Platform (GCP), building machine learning models in Python and SQL, and delivering results through interactive dashboards and visualizations.

You’ll work with manufacturing and automation data to support operational improvements and develop intelligent solutions. The role emphasizes validating models, analyzing both structured and unstructured datasets, and communicating findings clearly across cross-functional stakeholders.

Responsibilities

Develop and validate machine learning and statistical models aligned to business strategy.
Collect, manage, and analyze structured and unstructured data to power reporting and analytics.
Research and apply analytical methodologies and techniques to improve outcomes.
Partner with cross-functional teams to define objectives and produce actionable insights.
Interpret analytical results and present them to others.
Create comprehensive reports, projections, and visual presentations.
Follow established guidelines and contribute to strategic discussions.

Requirements

Bachelor’s degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline.
Proficiency with tools and programming languages such as Python, R, and SQL (or similar).
Machine learning expertise, including predictive modeling, clustering, and regression analysis (desirable).
Strong experience working with both structured and unstructured datasets for reporting and modeling.
Excellent communication skills, including the ability to simplify complex concepts for diverse audiences.
Proven ability to work independently and use sound judgment on technical approaches.

Technologies you may work with

Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Dash, Streamlit, Flask, FastAPI, SQL, stored procedures, query optimization, GCP (BigQuery, Google Cloud Storage, Vertex AI, Dataflow, Pub/Sub, Dataproc), MQTT, ETL/ELT, IIoT, Rockwell Automation ecosystem, ControlLogix, PLCs, VFDs, Studio 5000, time-series analysis, classification, regression, clustering, OPTICS, DBSCAN, Tableau, Power BI, Looker, Bokeh, Git, Agile.

Benefits

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, and subsidized back-up childcare
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members, plus management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time

Location: Louisville, KY (on-site)
Salary: USD 86,600 to 144,900 per year
Job Type: Full time
Work Type: On-site

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