Career Fair

Are you still looking for a career opportunity in PHM? The PHM Society can help you to meet your next employer at the Career Fair session on September 24-27, 2018!

The PHM Career Fair is an exposition for PHM employers to meet with prospective job seekers. This year the PHM Society is holding a career fair within the 10th Annual Conference at Philadelphia, PA to enable recruiters and job seekers the opportunity to meet and conduct interviews. Come meet and talk with growing companies hiring in PHM!

Career Fair Chair:
Abbas Chokor

Benefits for Recruiters

  • Recruiters will have access to a large pool of candidates and early-access to their resumes to narrow down the qualified candidates.
  • Recruiters will be onsite to interview and have a face-to-face interaction with the candidates for full-time, part-time and internship positions.
  • The career fair is an advertised event and offers employers high visibility and recognition during the conference.
  • Recruiters will be able to share a description of their vacancies prior to the conference.

Benefits for Job Seekers

  • The career Fair is FREE and OPEN to all registered PHM18 conference participants and recruiters.
  • Candidates of all ages, all levels of experience, and all industries are encouraged to attend.
  • Candidates can access a description of the available openings and email their resumes prior to the career fair to
  • Recruiters will be onsite to conduct on-the-spot interviews for full-time, part-time and internship positions.

Places are limited and will be allocated on a first come first served basis. Register today to reserve your place! For further information about the interviews schedule and updated list of participating companies, please contact us on or enquire at the Registration Desk.

Participating Companies


Company Overview:
At 3M, Science Applied to Life isn’t just a slogan – it’s what our data scientists do every day. Our data scientists help improve lives of people with respiratory issues, enable autonomous transportation, keep workers and soldiers safe, and advance health information systems. Our broad market presence and global reach enables your work to have significant impact. 3M is headquartered in the beautiful Twin Cities of Minnesota, known nationwide for their outdoor recreation opportunities, thriving arts, professional sports, and high quality of life.

Position Overview:
The persons hired for the positions of Data Scientist across 3M R&D labs will develop technologies in the areas of machine learning, data science, deep learning, artificial intelligence, and/or computer vision that create new opportunities for 3M and will develop digital products and solutions or digital manufacturing solutions, capitalizing on 3M’s unique materials, advanced technologies, and global reach. At 3M, our data scientists analyze data, create algorithms, and develop real-world solutions for many businesses and markets, including health information, worker safety, digital oral care, power grid, transportation, novel inspection and measurement processes for manufacturing, and many more.


  • Maplewood, MN

Company Overview:
MachineMetrics is a startup with offices in Boston and Northampton, Massachusetts providing manufacturing data infrastructure for production analytics, machine learning, and predictive applications. MachineMetrics simplifies the process of connecting manufacturing equipment and ingesting that data so that customers can quickly and easily discover ways to improve process and be notified of issues before they become costly problems.

Position Overview:
MachineMetrics is seeking a data scientist to discover new ways to look at the information being collected and design solutions that address customer needs, including large scale anomaly detection, automatic optimization, and other methods. The company is committed to building an inclusive culture that emphasizes intellectual curiosity and mutual respect. Lead by a team of experienced manufacturers, software engineers, and designers, MachineMetrics is backed by top Boston VCs.


  • The position is based in either Boston or Northampton, MA.
  • For Remote candidates: Some periodic travel to the Northampton office may be required.


  • Working with customers to learn about their process and discover potential opportunities where data can be utilized to solve problems
  • Collaborating with infrastructure team on feature requirements and product roadmap
  • Apply tried and true machine learning techniques to build predictive models that can be incorporated into the product


  • At least 3 years of experience with a modern data science stack
  • Experienced self-starter and motivated to work on greenfield projects
  • Experience with time-series analysis and anomaly detection methods
  • Desire to work with customers on solving real-world problems
  • Strong written communications skills
  • Ideal candidate will have a Bachelor’s degree in Computer Science and a Master’s degree in any quantitative field.

Company Overview:
Every single day, we put the oil and gas industry’s best minds and more than 150 years of experience to work to help our customers achieve lasting success. We have the people, capabilities, and vision to serve the needs of a significant and evolving industry. One the world can’t live without. Throughout every region in the world, and across every area of drilling and production, our company provides the technical expertise, advanced equipment and operational support necessary for success – now and in the future. At NOV, we power the people who power the world.

Position Overview:
We are currently searching for a data scientist / senior data scientist who has a proven record of designing and implementing predictive analytics solutions. We collaborate in a corporate group that develops, researches, and conducts strategic analytics projects that have a companywide impact on engineering practices and field operations.


  • Houston, TX


  • You will have the opportunity to develop data driven predictive models that will lay the foundation for our Predictive Maintenance, Condition Based Maintenance, and Optimized Operations.
  • You will use past experience in implementing data analytics solutions for challenging engineering and reliability problems on NOV’s product lines.
  • Working with Big Data infrastructure, Engineering, and Operations, you will develop a scalable and sustainable analytics process.
  • Your Data Science responsibilities will include Data mining, Feature Extractions, Model Selection, Model Optimization, Validation, and Model Deployment.
  • You will engage in knowledge management and effective solution delivery.
  • You will assess risk, benefit, and cost of pre-existing and suggested engineering practices.

Are you a motivated self-starter with the dedication to work independently and as part of a team, and an ability to multi-task? Do you have the flexibility and adaptability, to make decisions quickly? Do you thrive in dynamic environments with multiple changing priorities, where prioritization and time management are necessary tools? You may be a good fit for our team, if you also meet the following requirements:

  • You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. machine learning, data mining, distributed computing, and statistics related work); preferably in the Oil & Gas industry.
  • Your strong academic qualifications include an advanced degree in a quantitative discipline (Computer Science, Engineering, Statistics, Mathematics, etc.); preferably a PhD.
  • A consistent track record in data driven reliability and operation efficiency is a plus.
  • You have programming experience with R and Python, and experience with Hadoop, Spark, etc.
  • Having background with industrial equipment is a large plus. (Rotating machinery, reciprocating machinery, hydraulic systems, structural components, etc...)
  • You have proven technical, analytical, and empirical skills.
  • You have a proven history of conducting research and producing viable solutions for engineering problems.
  • You are skilled in problem analysis and resolution, impact verification, troubleshooting, coaching, facilitation experience, and diagnosing problems across multiple disciplines.
  • You excel in organizational and analytical skills; you're able to focus and deliver precise results, yet understand impacts across multiple projects and systems.
  • You have spent time developing with machine learning and statistical models.
  • You communicate well in English and have good interpersonal skills, with the ability to build trust and integrity in your relationships with our business partners.
career fair Flyer.pdf183.54 KBApril 1, 2018 - 3:31pm

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