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data scientist operations engineering

Invenergy

<div><div>Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.</div><div></div><div>
This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.</div><div></div><div><div><div><div><div><div><div><div>
Job Description</div></div></div></div></div></div></div></div><div></div><div><div>
Position Overview</div><div>
The Data Scientist, Operations Engineering plays a critical role in delivering operational intelligence across a large fleet of solar and battery storage projects. This role leverages advanced statistical methods and modeling techniques to analyze large-scale datasets, uncover performance trends, and generate actionable insights that enhance project efficiency and reliability.</div><div></div><div>
Core Responsibilities</div></div><div><ul><li><div>
Analyze large-scale operational data from solar and battery storage assets to identify trends, anomalies, and opportunities for performance improvement.</div></li></ul></div><div><ul><li><div>
Develop and deploy predictive models to support proactive maintenance, fault detection, and system optimization.</div></li></ul></div><div><ul><li><div>
Collaborate with cross-functional teams including performance engineering, asset management, and data analysts to translate insights into impactful solutions.</div></li></ul></div><div><ul><li><div>
Design and implement dashboards and visualizations to communicate findings to technical and non-technical stakeholders.</div></li></ul></div><div><ul><li><div>
Continuously improve analytical methodologies and tools to enhance data-driven decision-making.</div></li></ul><div></div><div><div><div>
Required Skills</div></div><div><ul><li><div>
Bachelor&rsquo;s degree in Data Science or related discipline, or 2+ years of work experience in Data Science position</div></li></ul></div><div><ul><li><div>
Proficiency in Python and SQL</div></li></ul></div><div><ul><li><div>
Experience finding insight from structured and unstructured data sets</div></li></ul></div></div><div><div><ul><li><div>
Excellent understanding of machine learning and AI techniques and algorithms</div></li></ul></div><div><ul><li><div>
Experience deploying large scale models to production including monitoring capabilities and methods for continuous improvement</div></li></ul></div><div><ul><li><div>
Strong communication and visualization skills</div></li><li>
Eligible to work in the United States without the need for employer visa sponsorship now or in the future.</li></ul></div><div><div>
Preferred Skills</div></div><div><ul><li><div>
Experience working with time series data within the PI software suite</div></li></ul></div><div><ul><li><div>
Familiarity with data science cloud platforms including Azure ML or Databricks</div></li></ul></div><div><ul><li><div>
Proficiency with BI visualization tools, such as Power BI</div></li></ul></div><div><ul><li><div>
Familiarity with cloud-based data storage</div></li></ul></div><div><ul><li><div>
Experience working in CI/CD workflows</div></li></ul></div><div><ul><li><div>
Familiar with solar or storage energy industry</div></li></ul></div></div></div><div></div><div><div><div><div><div><div><div><div>
Base Pay</div></div></div></div></div></div></div></div><div></div><div><div>
$80,000 &ndash; $100,000 USD Annual<br>
Bonus: 0% - 15%</div></div><div></div><div>
The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.<br>
<br>
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.<br>
<br>
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, profit sharing, paid time off, etc.</div><div></div><div>
Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.</div></div>

Data Scientist, Operations Engineering

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
<br>
Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><p><b>
Job overview and responsibilities</b></p><p><br>
Develops and programs integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.</p><ul><li>
Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices</li><li>
Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows</li><li>
Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production</li><li>
Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions</li><li>
Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads</li><li>
Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
What&rsquo;s needed to succeed (Minimum Qualifications):</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related technical discipline</li><li>
4-8 years of experience in managing technical teams and projects</li><li>
4+ years of experience in full software lifecycle development using Python</li><li>
4+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies</li><li>
4+ years in software development in Python, Java, PySpark</li><li>
4+ Years of Experience with Machine Learning and Machine Learning workflows</li><li>
3+ years of experience desiging an developing using tecnologies as Docker, Kubernetes</li><li>
Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++</li><li>
Understanding of machine learning principles and techniques</li><li>
Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)</li><li>
Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate</li><li>
Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline</li><li>
Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)</li><li>
Knowledge of distributed systems as it pertains to compute and data storage</li><li>
Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native</li><li>
Excellent oral and written communication skills. Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences</li><li>
Must be legally authorized to work in the United States for any employer without sponsorship</li><li>
Successful completion of interview required to meet job qualification</li><li>
Reliable, punctual attendance is an essential function of the position</li></ul><p></p><p><b><br>
What will help you propel from the pack (Preferred Qualifications):</b></p><br>
<ul><li>
AWS Certified Solution Architect (Associate or Professional)</li><li>
Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions</li><li>
Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark</li><li>
Experience with GPU acceleration (e.g. CUDA and CuDNN)</li><li>
Experience with Kubernetes</li></ul><br>
The base pay range for this role is $114,665.00 to $149,376.00.<br>
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br>
<br>
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.<br>
<br>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.</div>

Machine Learning Engineering Manager

Tropicana Brands Group

<div><p><b>Fresh-Squeezed Legacy, Bold New Chapter</b></p>
<p>
Tropicana Brands Group is a $3B startup aiming to revolutionize the beverage category. Formed in 2022 as a joint venture between PAI Partners and PepsiCo, our portfolio includes iconic brands like Tropicana, Naked, KeVita, Izze, Copella, and Punica. With over 76 years of global leadership in the orange juice category, we&rsquo;re committed to preserving this legacy while driving innovation in other areas. From reimagining orange juice to creating functional smoothies and driving afternoon refreshments, we are striving to become the undisputed global leader in fresh and chilled beverages.</p>
<p>
The Research &amp; Development (R&amp;D) team drives innovation, product development, and technological advancements across its juice and beverage portfolio. Focused on creating unique flavors, enhancing nutritional value, and improving formulations, the team ensures products meet evolving consumer preferences. They lead projects from concept to launch, ensuring efficient execution while aligning with business goals. Committed to sustainability, they develop innovative packaging solutions that are biodegradable, recyclable, and environmentally friendly. Additionally, they uphold rigorous nutritional science and regulatory standards, validating health claims and ensuring compliance. With a strong emphasis on food safety, quality, and process engineering, the team optimizes manufacturing systems to enhance efficiency, reduce costs, and maintain product excellence. Collaborating closely with scientists, nutritionists, and engineers, Tropicana&rsquo;s R&amp;D team plays a crucial role in keeping products competitive, sustainable, and aligned with market demands.</p>
<p><b>
Your Next Pour: The Opportunity</b></p>
<p>
We are looking to add a Senior Scientist, R&amp;D to our Research &amp; Development team. This role will be responsible for leading consumer-driven innovation, quality improvement, and productivity initiatives for the KeVita and IZZE brands. The ideal candidate will bring a strong ownership mindset, thrive in ambiguity, and demonstrate exceptional cross-functional collaboration and communication skills. Tropicana Brands Group is looking for a critical thinker with exceptional influencing and relationship management skills who thrives in a fast-paced environment. Additional responsibilities include:</p>
<ul>
<li>Lead and execute innovation, quality/product improvement, and productivity initiatives.</li>
<li>Develop product formulations leveraging expertise in food/beverage chemistry and ingredient functionality.</li>
<li>Design and execute experiments; analyze and interpret data to make sound technical recommendations.</li>
<li>Provide technical risk assessments and perspectives related to new product development.</li>
<li>Collaborate cross-functionally with Marketing, Purchasing, Engineering, and other teams.</li>
<li>Perform economic evaluations on ingredients and formulations to drive profitability.</li>
<li>Develop and maintain product attribute specifications for ingredients and finished products.</li>
<li>Utilize innovative and critical thinking to solve organizational challenges and deliver projects on time and on budget.</li>
</ul>
<p><b>The Perfect Blend: Experience</b></p>
<ul>
<li>4+ years of experience in product development; beverage experience a plus.</li>
<li>Proven ability to manage multiple simultaneous projects in a fast-paced environment.</li>
<li>Strong working knowledge of product development protocols including formulation, stability testing, sensory and consumer testing.</li>
<li>Experience working in lab, pilot plant, and manufacturing environments.</li>
<li>Demonstrated success in cross-functional collaboration and project management.</li>
</ul>
<p><b>Foundational Ingredients: Requirements</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Food Science &amp; Technology or related scientific field; advanced degree preferred.</li>
<li>Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.</li>
<li>Must be located in Chicago, IL or willing to relocate for the duration of employment.</li>
<li>Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.</li>
<li>Ability to travel up to 15&ndash;25% domestically.</li>
</ul>
<p><b>Perks That Pack a Punch</b></p>
<p>
TBG is pleased to offer you a comprehensive benefits package which includes a 401(k) plan, medical, dental, vision, company provided life, STD and LTD insurance. In addition, you may also elect to participate in voluntary life, accident, hospital, and critical illness coverages.</p>
<p>
The salary range for this position is $71,000 - $96,000</p></div>

Senior Scientist, R&D

UChicago Medicine

<div>Job Description:
<div>
Be a part of a world-class academic healthcare system, <b>UChicago Medicine</b>, as a <b>Technical Specialist</b> in the <b>Clinical Chemistry</b> <b>D</b><b>epartment</b>. Here, you will conduct a wide variety of technical procedures, operate a state-of-the-art integrated instrument system, and perform esoteric tests with current technology. Responsible for quality control, instrument maintenance, and method development to support a broad menu of routine chemistry, toxicology, endocrinology, immunochemistry, and therapeutic medications tests. Works collaboratively with colleagues, participates in process improvement projects, and trains MT students. This department is the Clinical Chemistry Laboratory. This position is a 100% onsite opportunity. You will need to be based in the greater Chicagoland area.</div><div></div><div><b><br>
Eligible for a Sign-On Bonus up to $10,000</b></div><div></div><div><br>
In consultation with the Laboratory Manager, Laboratory Supervisor, and Medical Director, the Technical Lead serves as the primary specialist in a defined area of subspecialty expertise in the Clinical Laboratories. Responsibilities include development, implementation, evaluation and performance of tests, systems and procedures, staff training and competency, assuming a leadership role in the process of continuous quality improvement, and participation in the laboratory accreditation cycle. Provides leadership in performing complex clinical pathology testing and instrument management of an advanced nature as defined for the specific clinical laboratory service. Ability to perform a wide range of clinical analyses in all sections of the laboratory by properly utilizing a variety of methodologies and instrumentation according to laboratory policies and procedures and in accordance with all regulatory agency requirements in order to provide results of the highest level of quality to physicians and our patients.</div><div><br>
</div><div><b>Essential Job Functions</b></div><ul><li>
Serves as a subject matter expert within specific laboratory department</li><li>
Acts as lead in the development, evaluation, validation, and implementation of new clinical laboratory procedures, equipment, and processes</li><li>
Completes assigned projects and tasks in a timely manner with little or no supervision and engages the team in projects</li><li>
Identifies laboratory and clinical needs related to area of subspecialty expertise including projects, initiatives, quality assurance, and compliance</li><li>
Provide guidance to testing personnel performing moderate and high complexity testing</li><li>
Acts as knowledgeable leader to assist Medical Laboratory Scientist and Technicians</li><li>
Resolves technical problems, performs advanced troubleshooting, provides thorough assessment on technical issues and decisions, and evaluate external assistance when necessary</li><li>
Reports all test results in the laboratory information system according to laboratory policies and procedures, within stated turn-around times, and follows appropriate backup procedures during computer downtimes</li><li>
Practices the proficient and safe use of all equipment necessary for the completion of all duties and responsibilities by following all maintenance, operation, safety and quality controls policies and procedures</li><li>
Demonstrates knowledge of techniques, principles, and instruments and their interrelationships as well as physiological conditions affecting test results</li><li>
Analyzes all test and quality controls and reviews for errors, inconsistencies and deviations prior to reporting results</li><li>
Initiates, documents, troubleshoot to ensure remedial actions are taken whenever test systems/QA deviate from established performance specifications</li><li>
Communicates information or problems with laboratory team and leadership in a respectful and proactive manner</li><li>
Contributes in maintaining continual compliance with policies, procedures and record keeping necessary to meet standards of accrediting or regulatory agencies</li><li>
Participates in the quality management program including quality control review, annual procedure review, compliance requirements, quality improvement, and implementation of the training and competency program</li><li>
Participate in educational and training activities to acquire new skills, maintain technical relevance and improve proficiency</li><li>
Provides patient-focused care in a clinical setting through the accurate performance of routine and complex tests through the pre-analytic, analytic and post-analytic stages</li><li>
Answers inquiries regarding specimen handling, results and other technical information</li><li>
Appropriately assists clinicians with requests and seeks out resources necessary when information is not available to answer questions</li><li>
Effectively communicates all pertinent information with appropriate laboratory staff and lab leadership</li><li>
Acts in a consistently professional manner while conducting all duties and responsibilities</li><li>
Ability to recognize strengths and weaknesses in themselves and others, can adapt to change, and remain professional in stressful situations</li></ul><div><b>
Required Qualifications</b></div><ul><li>
Must satisfy CLIA 88 qualification requirements for general supervisor who oversees testing personnel performing high complexity testing</li><li>
Bachelor's or advanced degree in clinical laboratory science or related field, from an accredited college or university</li><li>
At least six years of prior work experience applicable to the specific technical discipline</li><li>
Certification or eligibility as Medical Laboratory Scientist, (MLS) through American Society of Clinical Pathologists (ASCP) or equivalent</li><li>
Knowledge and ability to use laboratory and hospitals information systems</li><li>
Ability to use and understand basic statistical concepts and methods that are commonly utilized in clinical laboratory science. Proficiency in laboratory data analytics</li><li>
Ability to interact in a professional manner with individuals at all levels</li><li>
Exceptional organizational skills, ability to work in stress situations, and pay attention to details</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Certification in Chemistry (C) through ASCP</li><li>
Demonstrates conceptual and working knowledge of clinical mass spectrometry&ndash;based systems and/or fully automated clinical chemistry systems</li></ul><div><b>
Position Details</b></div><ul><li>
Job Type/FTE: Full-Time (1.0)</li><li>
Shift: Day Shift (8:00 am - 4:30 pm), Monday - Friday</li><li>
Work Location: Hyde Park</li><li>
Unit/Department: Clinical Chemistry Laboratory</li><li>
CBA Code: Non-Union</li></ul>
Why Join Us:
<div><i>
We&rsquo;ve been at the forefront of medicine since 1899. We provide superior healthcare with compassion, always mindful that each patient is a person, an individual. To accomplish this, we need employees with passion, talent and commitment&hellip; with patients and with each other. We&rsquo;re in this together: working to advance medical innovation, serve the health needs of the community, and move our collective knowledge forward. If you&rsquo;d like to add enriching human life to your profile, UChicago Medicine is for you. Here at the forefront, we&rsquo;re doing work that really matters. Join us. Bring your passion.</i></div><div></div><div><i><br>
UChicago Medicine is growing; discover how you can be a part of this pursuit of excellence at: </i><i>UChicago Medicine Career Opportunities</i></div><div></div><div><i><br>
UChicago Medicine is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, ethnicity, ancestry, sex, sexual orientation, gender identity, marital status, civil union status, parental status, religion, national origin, age, disability, veteran status and other legally protected characteristics.</i></div><div></div><div><i><br>
As a condition of employment, all employees are required to complete a pre-employment physical, background check, drug screening, and comply with the flu vaccination requirements prior to hire. Medical and religious exemptions will be considered for flu vaccination consistent with applicable law.</i></div><div></div><div><b><i><br>
Compensation &amp; Benefits Overview</i></b></div><div></div><div><i><br>
UChicago Medicine is committed to transparency in compensation and benefits. The pay range provided reflects the anticipated wage or salary reasonably expected to be offered for the position.</i></div><div></div><div><i><br>
The pay range is based on a full-time equivalent (1.0 FTE) and is reflective of current market data, reviewed on an annual basis. Compensation offered at the time of hire will vary based on candidate qualifications and experience and organizational considerations, such as internal equity. Pay ranges for employees subject to Collective Bargaining Agreements are negotiated by the medical center and their respective union.</i></div><div></div><div><i><br>
Review the full complement of benefit options for eligible roles at </i><i>Benefits - UChicago Medicine</i><i>.</i></div></div>

Technical Lead, Clinical Chemistry Laboratory Department - Days

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
<br>
Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><p>
At United, we offer internships, co-ops, and full-time opportunities for early career professionals. In any role, you&rsquo;re a key member of our team, contributing to real projects that help move the business forward while gaining hands-on experience, growing your professional skill set, and connecting with industry leaders. You&rsquo;ll also have a chance to build community through our employee-run Business Resource Groups, participate in industry conferences, and enjoy unlimited standby travel anywhere we fly.</p><p>
As an <b>Operations Data &amp; Analytics Intern</b>, you&rsquo;ll be part of Operations Products team that turns raw airline data into real-world impact. From flight performance to customer experience, you&rsquo;ll dive into massive datasets, sharpen data products, and uncover insights that drive decision-making across Airport Ops, Tech Ops, Customer Ops, and more. This is a hands-on role where you&rsquo;ll gain exposure to large-scale airline data, learning how analytics keeps one of the world&rsquo;s largest airlines moving.</p><p>
This internship is designed solely to provide you with skill development and valuable work experience. This role will likely not convert to a full-time position at United at the conclusion of the internship.</p><p>
</p><p><b>Responsibilities</b></p><ul><li><p><b>
Build &amp; Validate</b> &ndash; Support the development and testing of operational data modules that power data products used by frontline employees and leaders.</p></li><li><p><b>
Streamline the Process</b> &ndash; Help document, refine, and automate SQL, Python, and Databricks workflows to make analysis repeatable and scalable.</p></li><li><p><b>
Bridge Business &amp; Analytics</b> &ndash; Collaborate with cross-functional teams to turn operational questions into actionable insights, exploring flight, customer, and operational data to find trends, outliers, and opportunities for performance improvement.</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
What&rsquo;s needed to succeed (Minimum Qualifications):</b></p><ul><li>
Current student pursuing a degree in <b>Computer Science, Engineering, Business Analytics, or a related field</b>.</li><li>
Strong analytical toolkit with <b>SQL and/or Python</b> experience (Databricks or Redshift exposure is a plus).</li><li>
Ability to explain findings clearly to both technical experts and business leaders.</li><li>
Natural curiosity, initiative, and a drive to dig into complex data challenges that have a real operational impact.</li></ul><p><br>
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.</p><br>
The starting rate for this role is $20.00.<br>
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br>
<br>
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.<br>
<br>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.</div>

Intern - Operations Data & Analytics Intern (Summer 2026)

Pregis

<div>
 <br/>
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 <strong>
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 <strong>
  Director of Supply Chain
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 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 The Director of Supply Chain is responsible for leading and optimizing the end-to-end supply chain operations, including planning, inventory management, procurement, and organizational development. This strategic role ensures that supply chain processes are efficient, cost-effective, and aligned with the company&rsquo;s business objectives. The ideal candidate will be a data-driven leader with a strong background in supply chain strategy, operational excellence, and cross-functional collaboration.
 <br/>
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 <strong>
  Key Responsibilities:
  <br/>
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 <ul>
  <li>
   Develop and implement supply chain strategies that support business growth, profitability, and customer satisfaction.
  </li>
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   Lead continuous improvement initiatives across the supply chain to enhance efficiency and reduce costs.
  </li>
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   Lead demand forecasting and inventory planning to balance service levels with working capital targets.
  </li>
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   Implement systems and processes to improve inventory accuracy and reduce obsolescence.
  </li>
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   Build, mentor, and lead a high-performing supply chain team.
  </li>
  <li>
   Foster a culture of accountability, collaboration, and continuous improvement.
  </li>
  <li>
   Evaluate and implement supply chain technologies (e.g., ERP, WMS, TMS) to improve visibility and decision-making.
  </li>
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   Leverage data analytics to drive insights and performance improvements.
   <br/>
   <br/>
  </li>
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  Qualifications:
  <br/>
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  <li>
   Bachelor&rsquo;s degree in Supply Chain Management, Business, Engineering, or related field (Master&rsquo;s preferred).
  </li>
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   10+ years of progressive experience in supply chain management, with at least 5 years in a leadership role.
  </li>
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   Proven track record of developing and executing supply chain strategies.
  </li>
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   Strong analytical, problem-solving, and project management skills.
  </li>
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   Excellent communication, negotiation, and leadership abilities.
  </li>
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   Experience with ERP systems and supply chain software (e.g., SAP, Oracle, NetSuite).
   <br/>
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  </li>
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  Compensation
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 The listed annualized base pay range is primarily based on analysis of similar positions. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of Pregis&rsquo; total compensation package. The base pay range for this role is estimated to be $175-$205K plus bonus for this salaried exempt role.
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 Compensation details listed in US job postings reflect base salary only and do not include benefits. Learn more about&nbsp;
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  Benefits at Pregis.
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 #PP1
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Director of Supply Chain

Sibel Health

<div>
 <p>
  <strong>
   A BIT ABOUT SIBEL HEALTH:
  </strong>
 </p>
 <p>
  With headquarters based in Chicago, Illinois, and an international office in Seoul, South Korea, Sibel Health is an award-winning digital health startup with a mission to deliver Better Health Data for All&reg;. We were founded with a specific focus on our most vulnerable patients&mdash;pregnant persons and babies&mdash;where we believe wireless monitoring has the potential to do the most good worldwide. We achieve this by providing a complete monitoring solution of advanced wireless wearables, best-in-class software, and novel AI/ML algorithms, all linked to the cloud. To date, we&rsquo;ve launched our technologies in 20 countries, from the most advanced hospitals in the world to the most resource-constrained locations. We work with some of the most respected healthcare organizations in the world, from major philanthropies to large medical technology and pharmaceutical companies. With numerous FDA clearances and a recently completed fundraising round, we are poised for growth and expansion. We are seeking mission-driven individuals with a strong sense of purpose who believe that technology can improve the lives of our most vulnerable patients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   THE OPPORTUNITY:
  </strong>
 </p>
 <p>
  We are seeking a proactive and detail-oriented
  <strong>
   Manufacturing Process Engineer
  </strong>
  to join our dynamic operations team. In this role, you will play a critical part in scaling manufacturing processes, ensuring high quality and efficient production of our advanced medical technology products. You will work cross-functionally with R&amp;D, quality, and supply chain teams while also guiding contract manufacturing partners to translate prototypes into production-ready builds.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT YOU WILL BE WORKING ON:
  </strong>
 </p>
 <p>
  Technical Leadership &amp; Training
 </p>
 <ul>
  <li>
   Act as the lead technical expert for all manufacturing processes across platforms.
  </li>
  <li>
   Train and mentor technicians, ensuring effective knowledge transfer and consistent execution of processes.
  </li>
  <li>
   Develop and maintain technical training programs and certification protocols for production staff.
  </li>
 </ul>
 <p>
  Validation &amp; Quality Systems Ownership
 </p>
 <ul>
  <li>
   Own and manage the Master Validation Plan, Process Failure Modes and Effects Analysis (PFMEA), and other key validation documents.
  </li>
  <li>
   Lead and support process qualification activities (IQ/OQ/PQ) in compliance with ISO 13485, FDA, and other regulatory requirements.
  </li>
  <li>
   Drive risk assessments and root cause investigations for process-related non-conformances.
  </li>
 </ul>
 <p>
  Process Documentation &amp; Control
 </p>
 <ul>
  <li>
   Create, revise, and control detailed build instructions, standard operating procedures (SOPs), and work instructions.
  </li>
  <li>
   Maintain comprehensive documentation across all product lines to ensure consistent manufacturing practices and audit readiness.
  </li>
 </ul>
 <p>
  Design for Manufacturability &amp; Test (DFM/DFT)
 </p>
 <ul>
  <li>
   Collaborate with R&amp;D and test engineering teams to optimize product design for manufacturability, scalability, and testability.
  </li>
  <li>
   Lead initiatives to enhance test coverage, reduce test cycle time, and improve diagnostic accuracy in both functional and in-line testing.
  </li>
 </ul>
 <p>
  Continuous Improvement &amp; Root Cause Analysis
 </p>
 <ul>
  <li>
   Drive production yield improvements and cost reductions through data-driven root cause analysis and structured problem-solving (e.g., 8D, DMAIC).
  </li>
  <li>
   Implement Lean Manufacturing principles and Six Sigma tools to streamline workflows and reduce process variation.
  </li>
 </ul>
 <p>
  New Product Introduction (NPI) &amp; Scale-Up
 </p>
 <ul>
  <li>
   Serve as the bridge between product development and manufacturing, ensuring smooth transitions from pilot builds to full-scale production.
  </li>
  <li>
   Develop and scale new manufacturing processes in collaboration with Contract Manufacturers (CMs), ensuring repeatability and control.
  </li>
  <li>
   Oversee equipment specification, procurement, installation, and validation.
  </li>
 </ul>
 <p>
  Supplier &amp; CMO Engagement
 </p>
 <ul>
  <li>
   Collaborate closely with contract manufacturing organizations (CMOs) to define process requirements, resolve issues, and ensure timely product delivery.
  </li>
  <li>
   Participate in supplier audits, technical reviews, and readiness assessments.
  </li>
 </ul>
 <p>
  Data Analysis &amp; Reporting
 </p>
 <ul>
  <li>
   Monitor process metrics (e.g., cycle time, yield, throughput) and generate regular reports to inform operational decision-making.
  </li>
  <li>
   Utilize statistical process control (SPC) and other analytical tools to maintain and improve process capability.
  </li>
 </ul>
 <p>
  Equipment Maintenance &amp; Calibration
 </p>
 <ul>
  <li>
   Own and execute maintenance and calibration plans for all production and test equipment.
  </li>
  <li>
   Ensure compliance with calibration schedules and proper documentation to meet quality and regulatory requirements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOU:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Mechanical Engineering, Biomedical Engineering, Industrial Engineering, or a related technical field.
  </li>
  <li>
   2&ndash;5 years of hands-on experience in a regulated manufacturing environment, preferably in medical devices or electronics.
  </li>
  <li>
   Strong understanding of validation methodologies, quality systems (ISO 13485, FDA QSR), and GMP requirements.
  </li>
  <li>
   Experience with Lean/Six Sigma, PFMEA, and root cause methodologies.
  </li>
  <li>
   Proficiency with CAD, Minitab/JMP, MES, and ERP systems is a plus.
  </li>
  <li>
   Excellent communication and cross-functional collaboration skills.
  </li>
 </ul>
 <p>
  Preferred Certifications (Optional but Beneficial)
 </p>
 <ul>
  <li>
   Six Sigma Green Belt or Black Belt
  </li>
  <li>
   Certified Manufacturing Engineer (CMfgE)
  </li>
  <li>
   ASQ Certified Quality Engineer (CQE)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   BENEFITS:
  </strong>
 </p>
 <ul>
  <li>
   Medical, dental, vision, life, and disability insurance.
  </li>
  <li>
   "Take as much time as you need" policy.
  </li>
  <li>
   Simple IRA plan with employer matching.
  </li>
  <li>
   Company-sponsored events and lunches.
  </li>
  <li>
   Stipend for professional development.
  </li>
  <li>
   Opportunity to be part of a dedicated and driven team that is here to disrupt and revolutionize wireless monitoring.
  </li>
  <li>
   Capability to work in a fast-paced, dynamic global environment with multiple changing priorities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Sibel Health Inc.
  </em>
  <strong>
  </strong>
  <em>
   is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
  </em>
 </p>
</div>


Manufacturing Process Engineer

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