Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Steven Shack, a product- and problem-oriented data scientist with a strong track record in client service and problem discovery. I build end-to-end data science solutions—from data engineering and algorithm design to deployment and team leadership—driving value in energy, logistics, and industrial sectors. I apply Deep Learning, large language models, and operations research to solve complex problems, lead cross-functional teams, and translate business needs into scalable AI-enabled products. I’ve delivered data-centric solutions across multiple industries, led data science strategy for initiatives, and built AI-enabled products in fast-paced environments. I thrive on problem discovery, effective communication with stakeholders, and turning ambiguous requirements into measurable outcomes through robust analytics and engineering.…Hi, I’m Steven Shack, a product- and problem-oriented data scientist with a strong track record in client service and problem discovery. I build end-to-end data science solutions—from data engineering and algorithm design to deployment and team leadership—driving value in energy, logistics, and industrial sectors. I apply Deep Learning, large language models, and operations research to solve complex problems, lead cross-functional teams, and translate business needs into scalable AI-enabled products. I’ve delivered data-centric solutions across multiple industries, led data science strategy for initiatives, and built AI-enabled products in fast-paced environments. I thrive on problem discovery, effective communication with stakeholders, and turning ambiguous requirements into measurable outcomes through robust analytics and engineering.

Steven Shack

Data Scientist, AI Engineer, AI Developer, +4





Hi, I’m Steven Shack, a product- and problem-oriented data scientist with a strong track record in client service and problem discovery. I build end-to-end data science solutions—from data engineering and algorithm design to deployment and team leadership—driving value in energy, logistics, and industrial sectors. I apply Deep Learning, large language models, and operations research to solve complex problems, lead cross-functional teams, and translate business needs into scalable AI-enabled products. I’ve delivered data-centric solutions across multiple industries, led data science strategy for initiatives, and built AI-enabled products in fast-paced environments. I thrive on problem discovery, effective communication with stakeholders, and turning ambiguous requirements into measurable outcomes through robust analytics and engineering.…Hi, I’m Steven Shack, a product- and problem-oriented data scientist with a strong track record in client service and problem discovery. I build end-to-end data science solutions—from data engineering and algorithm design to deployment and team leadership—driving value in energy, logistics, and industrial sectors. I apply Deep Learning, large language models, and operations research to solve complex problems, lead cross-functional teams, and translate business needs into scalable AI-enabled products. I’ve delivered data-centric solutions across multiple industries, led data science strategy for initiatives, and built AI-enabled products in fast-paced environments. I thrive on problem discovery, effective communication with stakeholders, and turning ambiguous requirements into measurable outcomes through robust analytics and engineering.

Available to hire

Hi, I’m Steven Shack, a product- and problem-oriented data scientist with a strong track record in client service and problem discovery. I build end-to-end data science solutions—from data engineering and algorithm design to deployment and team leadership—driving value in energy, logistics, and industrial sectors. I apply Deep Learning, large language models, and operations research to solve complex problems, lead cross-functional teams, and translate business needs into scalable AI-enabled products.

I’ve delivered data-centric solutions across multiple industries, led data science strategy for initiatives, and built AI-enabled products in fast-paced environments. I thrive on problem discovery, effective communication with stakeholders, and turning ambiguous requirements into measurable outcomes through robust analytics and engineering.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Estonian

Beginner

Work Experience

Data Scientist at SMB Royalty

May 1, 2025 - Present

DNN-based reservoir engineering techniques to forecast lease production; pricing and offer algorithms to purchase mineral rights below market; LLM-based extraction of contract terms; market discovery and segmentation; risk management; managed development team building purchasing website; data engineering for mineral rights in Texas.

Senior Data Scientist at Quantum Hazard

January 1, 2022 - December 31, 2024

Boutique data science consultancy providing client service, problem discovery, and solution development. Highlights include detection algorithms to identify polluting smokestacks and rust detection/surveillance to catalog remediation sites.

Senior Data Scientist at Lugg

January 1, 2020 - December 31, 2021

Uber for furniture delivery. Built realtime routing (CVRP-PD-TW) in an extremely resource constrained environment.

Senior Data Scientist at BigRio

January 1, 2016 - December 31, 2020

Data scientist delivering client services with international deployments: automotive part failure prediction for a German automaker; server fleet failure prediction enabling proactive remediation; video highlight system; goal-oriented voice agent with real-time emotion recognition without predefined rules or modern LLMS.

Data Scientist at Freelance

January 1, 2012 - December 31, 2016

Wound identification and tissue classification tooling using Deep Neural Network for tissue segmentation and classification; fleet maintenance optimization for taxi fleets; vessel piracy risk prediction; ARM industry work including account grading using DNN and revenue optimization tooling.

Developer at M83 Technologies

January 1, 2004 - December 31, 2006

Release engineering and communications security for surveillance platform; optimal sensor placement for mission planning for USMC and DIA.

Senior Data Scientist at SMB Royalty

May 1, 2025 - Present

Defined the data science strategy for mineral rights acquisition, developing algorithms that drove a 25–50% cost advantage over market rates; built AI strategies to deliver products safely and effectively; developed DNN-based reservoir engineering techniques to forecast lease production; automated legal due diligence using LLM-based extraction, reducing manual review workload and bottlenecks; identified high-value market segments with advanced segmentation; led the purchasing website development; spearheaded data engineering to create a coherent mineral rights data picture for Texas.

Data Scientist at Independent Consultant

January 1, 2012 - December 31, 2016

Delivered end-to-end data science solutions for healthcare, logistics, maritime, and financial sectors; projects included medical image analysis, fleet optimization, maritime risk modeling, and revenue optimization with predictive models and tailored strategies.

Independent Consultant at Independent Consultant

January 1, 2012 - January 1, 2016

Delivered end-to-end data science solutions for international clients across healthcare, logistics, maritime, and financial sectors, managing the full lifecycle from on-site discovery to deployment. Highlights include deep learning for automated wound segmentation and tissue classification in medical imaging; predictive maintenance for taxi fleets; maritime risk prediction for vessel piracy; revenue optimization and persona identification in financial services; and dynamic risk-on/risk-off strategies for portfolio recovery.