Data Scientist, Principal

🔥 1 minute ago

🏈 Alabama, Alaska, +44 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $131k - $178k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 1%

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Cummins Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1919

🏗️ Construction

💼 Consulting

🏥 Healthcare

💰 $75M Grant on 2024-07

Construction • Consulting • Healthcare

Cummins Inc. is a global power technology leader that designs, manufactures, and distributes a variety of engines and power systems solutions. They offer products that range from diesel and natural gas engines to hybrid and electric power systems, as well as components like turbochargers, fuel systems, and emissions solutions. With a strong emphasis on innovation, Cummins aims to reduce emissions and improve fuel efficiency. The company is dedicated to helping industries navigate the transition to cleaner energy through integrated power solutions suitable for diverse applications such as on-highway, marine, mining, and construction. Additionally, Cummins provides services including remote monitoring, diagnostics, and aftermarket support, reinforcing its commitment to sustainability and customer service excellence.

📋 Description

• Lead advanced analytics initiatives to solve complex business problems using quantitative analysis, statistical modeling, and machine learning • Design, develop, and deploy machine learning models for decision systems, recommendation and next-best-action frameworks, anomaly detection, pattern recognition, and forecasting/time series analysis • Liaise with business stakeholders and industrialize and monetize insights from advanced analytics projects • Research, implement, and validate causal inference, impact measurement, predictive modeling, clustering, and optimization methods • Analyze large, diverse datasets using statistical inference and data mining techniques to identify relationships, trends, and performance drivers • Develop and support scalable end-to-end analytics and machine learning solutions, data processing pipelines, and model lifecycle management practices • Support batch and near real-time/streaming data processing in a cloud-based analytics environment • Design and maintain lakehouse-style data platform architectures, including data quality, schema management, and governance controls • Use sampling methods and experimental or quasi-experimental approaches for research, analysis, and decision making • Translate analytical results and model insights into clear business language and communicate findings to technical and non-technical stakeholders • Lead requirements analysis, assess interdependencies and priorities, and align initiatives with strategic roadmaps and organizational goals • Apply Agile software development practices to analytics solutions • Provide technical leadership and mentorship to less experienced engineers or analysts

🎯 Requirements

• Master’s degree in Computer or Data Science, Business or Data Analytics, Information Technology or related field and 3 years of experience as a Data Scientist, Data Analyst, IT Consultant or related position • Alternatively, Bachelor’s degree in Computer or Data Science, Business or Data Analytics, Information Technology or related field and 5 years of experience as a Data Scientist, Data Analyst, IT Consultant or related position • Experience with advanced analytics and quantitative problem solving • Experience with statistical modeling and statistical inference techniques • Experience developing machine learning models • Experience with decision systems and recommendation/next-best-action frameworks • Experience with anomaly detection and pattern recognition • Experience with predictive modeling, clustering, and time-series forecasting analysis • Experience with causal inference and business impact measurement methods • Experience with data mining and relationship analysis on large datasets • Experience with end-to-end machine learning pipelines and model lifecycle management • Experience with scalable data processing using distributed data processing frameworks • Experience with batch and near real-time/streaming data processing • Experience with modern data platform architectures, including lakehouse-style data architectures • Experience with Agile software development practices and technical leadership

🏖️ Benefits

• Equal employment opportunity policy • Remote/off-site work arrangement • No relocation required/relocation not eligible