PERMANENT

FULL_TIME

ADAPTED_NOW

YEAR

As a Data Scientist on our team, you will work at the intersection of time-series analytics, machine learning, and engineering domain-knowledge, turning field equipment sensor data, time-series telemetry, and operational data into actionable insights – designing and deploying production-grade solutions for predictive maintenance and anomaly detection across our customers’ industrial environments. You will partner directly with engineering, product, and domain experts to translate business and operational challenges into scalable, production-ready data science solutions that drive measurable impact on reliability, efficiency, and revenue – with direct visibility into how your work reduces downtime and keeps critical operations running.

Role Information:<ul><li style="text-align:justify">Job Title: Sr. Data Scientist- Industrial Industry Focused</li><li style="text-align:justify">Work Location: Fully remote position, home office</li><li style="text-align:justify">Employment Type: Full-time</li><li style="text-align:justify">Employment Status: Exempt, salaried</li><li>Visa sponsorship is not available for this position.</li><li>Must reside in the United States.</li><li>We are not accepting applicants for remote workers in California, Illinois, and New York at this time.</li></ul>Compensation:$98,837 - $154,546, depending on years of experience Role Overview: We are building the intelligence layer for industrial operations – transforming raw sensor telemetry, time-series data, and field equipment signals into predictive diagnostics that keep critical assets running. As a Data Scientist on our team, you will work at the intersection of time-series analytics, machine learning, and engineering domain-knowledge, turning field equipment sensor data, time-series telemetry, and operational data into actionable insights – designing and deploying production-grade solutions for predictive maintenance and anomaly detection across our customers’ industrial environments. You will partner directly with engineering, product, and domain experts to translate business and operational challenges into scalable, production-ready data science solutions that drive measurable impact on reliability, efficiency, and revenue – with direct visibility into how your work reduces downtime and keeps critical operations running. We actively support team members to publish, present, and contribute to the industrial AI community. Key Responsibilities:<ul><li>Design, develop, train, and deploy machine learning and AI models that process and analyze field equipment sensor data (time-series IoT, embedded device telemetry) alongside structured and unstructured datasets.</li><li>Build and refine predictive, prescriptive, and anomaly detection models using techniques such as regression, time-series forecasting, classification, clustering, and deep learning to support real-time or near-real-time decision-making.</li><li>Perform exploratory data analysis (EDA), data preprocessing, feature engineering/signal processing, and feature extraction on high-volume, noisy sensor data and multimodal datasets to surface patterns, correlations, and actionable insights.</li><li>Contribute to end-to-end AI workflows, including automated data ingestion, model training pipelines, inference at the edge or in the cloud, and continuous monitoring for model drift and performance degradation.</li><li>Apply statistical modeling, hypothesis testing, and experimentation methods (A/B testing, causal inference where applicable) to validate model performance and ensure robustness in dynamic operational environments.</li><li>Support the development and maintenance of reproducible, scalable ML pipelines using MLOps best practices, including model versioning, retraining, deployment (including edge/embedded constraints), and lifecycle management.</li><li>Collaborate with engineering, product, and domain experts to translate business problems (e.g., predictive maintenance, fault detection, process optimization) into well-defined data science solutions.</li><li>Perform data cleansing, validation, and collation activities to ensure models are accurate, reliable, and aligned with real-world operating conditions.</li><li>Solve complex technical challenges related to analytical toolsets that support engineering and operational decision-making.</li><li>Communicate technical findings, model performance metrics, and business value to internal stakeholders through clear visualizations, written reports, and presentations.</li><li>Explore and evaluate emerging techniques (e.g., generative AI for synthetic sensor data, edge AI optimization, multimodal data fusion) and recommend incorporation into production workflows where appropriate.</li><li>Assist in formulating and managing data-driven project requirements aligned with business needs and strategic company goals.</li><li>Provide subject matter input on analytical tools and methods to cross-functional product development teams.</li><li>Work with software and business development teams to support revenue opportunities tied to data science initiatives and product/service enhancements.</li><li>Support internal resources involved in research, product development, and ongoing production of data analytics deliverables.</li></ul> Required Qualifications:<ul><li>Bachelor's degree in Engineering required; Mechanical, Electrical, Chemical, or Aerospace strongly preferred. Formal training or demonstrated proficiency in data science, machine learning, and applied analytics required.</li><li>5+ years of professional experience in data science, machine learning, signal processing, and applied analytics; Master’s or PhD in a relevant field may substitute for up to 2 years of required experience.</li><li>Direct industry experience required in one or more of the following sectors: Power Generation, Oil & Gas, Aerospace, Pulp & Paper, Manufacturing, or similar industries.</li><li>Demonstrated experience working with time-series data, sensor data, and operational/IoT data within an industrial environment.</li><li>Has independently owned at least one ML model from prototype through production, including monitoring and retraining in a live environment.</li><li>Experience supporting use cases such as predictive maintenance, fault/anomaly detection, asset health monitoring, or process optimization.</li><li>Proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), SQL, time-series databases (InfluxDB, TimescaleDB, Snowflake), and visualization tools (Power BI, Tableau, Plotly).</li><li>Hands-on experience with time-series modeling techniques (e.g., ARIMA, Prophet, LSTMs, transformers for sequence data).</li><li>Practical experience with anomaly detection methods on streaming or batch sensor data.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices including MLflow, Airflow, Docker, and CI/CD pipelines.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Excellent written and verbal communication skills, with the ability to present complex findings to non-technical audiences.</li><li>Effective collaborator across engineering, product, and business teams.</li><li>Self-motivated and capable of managing multiple priorities in a fast-paced environment.</li><li>Active contributes to the broader data science and industrial AI community through open-source projects, technical publications, conference presentations, or patents; a track record of knowledge sharing is valued and supported.</li></ul> Preferred Qualifications:<ul><li>Master's or PhD degree in Data Science, Engineering (Electrical, Mechanical, or Chemical), or a related quantitative discipline.</li><li>Background in reliability engineering, condition monitoring, or asset performance management.</li><li>Familiarity with causal inference techniques applied to operational or process data.</li><li>Experience working with multimodal data fusion (e.g., combining sensor data with images, text logs, or maintenance records).</li><li>Experience deploying ML models to edge or embedded devices with compute and memory constraints.</li><li>Familiarity with industrial communication protocols and data sources (e.g., OPC UA, Modbus, MQTT, SCADA, historians such as OSIsoft PI).</li><li>Exposure to digital twin concepts, physics-informed machine learning, or hybrid modeling approaches that combine first-principles engineering models with data-driven methods.</li><li>Experience with generative AI techniques, including the use of synthetic data generation for sensor and operational datasets.</li></ul> Other Qualifications:<ul><li>Successfully pass background check for cybersecurity access requirements.</li></ul>Cybersecurity Role Expectations:<ul><li>Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.</li><li>Candidate is expected to maintain a cybersecure work environment.</li></ul>Benefits:<ul><li style="text-align:justify">Paid Time Off</li><li style="text-align:justify">Medical, Vision, Dental Insurance</li><li style="text-align:justify">Health Savings Account with Employer contributions</li><li style="text-align:justify">401(k) with Employer match</li><li style="text-align:justify">Short-term & Long-term Disability Coverage</li><li style="text-align:justify">Accidental Death & Dismemberment Coverage</li><li style="text-align:justify">Life Insurance Coverage</li><li style="text-align:justify">Eight paid holidays per year</li><li style="text-align:justify">All other benefits required by applicable law</li></ul>Alignment with Corporate ValuesAll Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.<ul><li>Learn more about Cutsforth here: <a href="https://www.cutsforth.com/about-us/about-cutsforth/" rel="noopener noreferrer nofollow" style="color:rgba( 66 , 139 , 202 , 1 );font-family:'arial' , 'helvetica' , sans-serif" target="_blank">Cutsforth.com/About</a></li><li>Read our Mission & Values here: <a href="https://www.cutsforth.com/about-us/mission-values/" rel="noopener noreferrer nofollow" style="color:rgba( 66 , 139 , 202 , 1 );font-family:'arial' , 'helvetica' , sans-serif" target="_blank">Cutsforth.com/Values</a></li></ul>Equal Employment Opportunity Statement:Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.For Cutsforth's full Equal Employment Opportunity Policy, click here: <a href="https://www.cutsforth.com/wp-content/uploads/2024/07/2024-Notice-to-Employees-Applicants.pdf" rel="noopener noreferrer nofollow" style="color:rgba( 66 , 139 , 202 , 1 );font-family:'arial' , 'helvetica' , sans-serif" target="_blank">EEO Notice to Employees & Applicants</a>

Cutsforth, LLC

Sr. Data Scientist - Industrial Industry Focused

A/B Testing

Accidental Death and Dismemberment (AD&D)

Aerospace and Defense

Affirmative Action

Amazon Web Services (AWS)

Analysis Skills

Artificial Intelligence (AI)

Asset Management

Background Investigation

Best Practices

Business Development

Business Operations

Business Strategy

Cloud Computing

Communication Skills

Communications Protocols

Continuous Deployment/Delivery

Continuous Improvement

Continuous Integration

Cross-Functional

Data Analysis

Data Fusion

Data Management

Data Modeling

Data Processing

Data Science

Data Sets

Deep Learning

Dental Insurance

Detail Oriented

Docker

Electrical Engineering

Electricity

Embedded Systems

Forecasting

GCP (Good Clinical Practices)

Internet Security

Internet of Things

Leadership

Legal

Machine Learning

Manufacturing

Memory Hardware

Microsoft Windows Azure

Model Validation

Multitasking

Oil and Gas

Open Source

Operational Support

Operations Processes

Patents

People Management

Performance Management

Performance Metrics

Performance Modeling

Physics

Policy Development

Power BI

Power Generation

Presentation/Verbal Skills

Problem Solving Skills

Procedure Development

Process Improvement

Process Modeling

Product Development

Production Control

Prototyping

Python Programming/Scripting Language

Quality Assurance Methodology

Record Keeping

Reliability Engineering

Reporting Skills

SQL (Structured Query Language)

Signal Processing

Snowflake Schema

Software Development

Statistical Modeling

Supervisory Control and Data Acquisition (SCADA)

Tableau

Technical Publications

Technical Support

Telemetry

Time Series Analysis

Use Cases

Vision Plan

Writing Skills

monster

UNKNOWN

FEED

Collaborate within an expanding Cybersecurity team, and work closely with internal EnerSys teams to ensure new and continued compliance with cybersecurity frameworks and required programs and initiatives. Serve as a primary liaison between the Cybersecurity and development teams, ensuring security is integrated into design, development, deployment, and operations.

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.Job Purpose
-----------The Application Security Engineer is responsible for strengthening the security of our applications, platforms, and development processes. This position partners with software engineers, DevOps teams, and security professionals to embed security into the full software development lifecycle. Collaborate within an expanding Cybersecurity team, and work closely with internal EnerSys teams to ensure new and continued compliance with cybersecurity frameworks and required programs and initiatives.Base Salary Range: $117,200.00 - $146,600.00 per year
Compensation may vary based on applicants work experience, education level, skill set, and/or location.Essential Duties and Responsibilities
--------------------------------------<ul><li>Serve as a primary liaison between the Cybersecurity and development teams, ensuring security is integrated into design, development, deployment, and operations.</li><li>Conduct application security assessments, code reviews, API testing, threat modeling, and penetration testing to identify vulnerabilities.</li><li>Define, maintain, and enforce secure coding standards, patterns, and best practices.</li><li>Integrate and manage security tooling within CI/CD pipelines, including SAST, DAST, SCA, IaC scanning, and container security solutions.</li><li>Support secure architecture reviews for cloud-native applications, microservices, and containerized workloads.</li><li>Support threat modeling, risk assessments, and security architecture reviews for applications.</li><li>Ensure that all security practices meet regulatory and compliance requirements.</li><li>Develop and deliver cybersecurity training programs for development teams to promote awareness and adherence to best practices.</li><li>Ensure application security practices align with regulatory and compliance frameworks (e.g., NIST CSF, ISO 27001, IEC 62443).</li><li>Keep up to date on emerging threats, incorporating threat intelligence into security practices and providing proactive defenses.</li><li>Monitor and respond to application security threats, incidents, and vulnerabilities.</li><li>Stay up to date on regulatory developments and industry trends.</li><li>Manage and maintain third-party vendor and consultant relationships.</li><li>Perform other duties as assigned.</li></ul>SUPERVISORY RESPONSIBILITIES:
-----------------------------N/AQualifications
-------------To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>Must have an active passport and be willing to travel internationally.</li><li>Education and/or Experience:</li><li>A degree in a technical field (Computer Science, Information Systems, or Cybersecurity) is preferred but not required.</li><li>5+ years of experience in Information Security, with at least 3 years focused on application security, secure development, or DevSecOps.</li><li>Strong understanding of OWASP Top 10, OWASP ASVS, SANS Top 25, and secure SDLC methodologies.</li><li>Hands-on experience with application security testing tools (e.g., Burp Suite, Fortify, Checkmarx, Veracode, Fortify, ZAP).</li><li>Experience with threat modeling, penetration testing, and secure software development practices.</li><li>Practical experience with cloud platforms (AWS or Azure) and cloud-native security controls.</li><li>Familiarity with Kubernetes security, container hardening, and runtime protection.</li><li>Experience conducting threat modeling, penetration testing, and secure architecture reviews.</li><li>Strong communication skills with the ability to influence and collaborate across technical and non-technical teams.</li><li>Relevant certifications (e.g., CISSP, CSSLP, OSCP, GWAPT, CEH, GIAC Cloud Security) other relevant certifications is preferred.</li></ul>Reasoning Ability
-----------------<ul><li>Problem management / resolution skills; project management skills; generally accepted security principles.</li><li>Ability to analyze data, resources, and schedules to make decisions that affect a project on a regular basis.</li></ul>TRAVEL REQUIRED: Up to 15%General Job Requirements
-------------------------This position will work in an office setting, expect minimal physical demands. EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Know Your Rights
-----------------Know Your Rights (Spanish)We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.

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Sr. Data Scientist - Industrial Industry Focused Cutsforth, LLC

Application Security Engineer (REMOTE) EnerSys

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