Overview
On Site
Full Time
Skills
Pivotal
Business Strategy
FOCUS
Algorithms
Software Development
Ideation
Prototyping
Evaluation
Neural Network
Keras
Decision-making
Data Collection
Storage
Data Analysis
Optimization
Mentorship
Research
Scalability
Computer Science
Chemical Engineering
Mathematics
Python
TensorFlow
PyTorch
scikit-learn
Cloud Computing
Big Data
Microsoft Azure
Databricks
Deep Learning
Analytics
Industry-specific
Conflict Resolution
Problem Solving
Critical Thinking
Analytical Skill
Relational Databases
Time Series
Data Visualization
Physics
Modeling
Statistics
Communication
Data Science
Operational Excellence
Expect
Artificial Intelligence
Machine Learning (ML)
Computer Vision
SAP BASIS
Law
IT Service Management
Innovation
Collaboration
Recruiting
Insurance
Finance
Professional Development
Training
Leadership
CompTIA
Customer Service
Career Counseling
Oracle Application Express
Apex
Job Details
Job#: 2081838
Job Description:
Position Summary
We are seeking a highly skilled and experienced Lead / Principal Data Scientist with a specialization in Machine Learning Engineering and Computer Vision to join our dynamic Data Science and AI team. In this pivotal role, you will be instrumental in transforming complex data into actionable insights and innovative solutions that drive our business strategy forward. You will leverage advanced machine learning, deep learning, and neural network techniques, with a specific focus on asset health, anomaly detection, and computer vision applications, to solve complex business challenges within the oil and gas domain. You will collaborate closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms. This position offers the opportunity to be at the forefront of AI/ML advancements, applying your expertise to real-world industrial analytics within the oil and gas sector.
Key Responsibilities
Solution Development: Lead the ideation, prototyping, and implementation of cutting-edge AI/ML solutions to meet emerging business requirements in the oil and gas industry.
Machine Learning Pipelines: Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment, specifically tailored for industrial analytics.
Deep Learning Models: Develop, train, and optimize deep learning models using neural network architectures (e.g., CNNs, RNNs, Transformers, GANs) and frameworks such as TensorFlow, Keras, or PyTorch. Apply these models to solve complex problems in areas like computer vision, asset health monitoring, predictive maintenance, and operational optimization within oil and gas.
Domain-Specific Modeling:
o Asset Health Modeling: Develop and deploy robust models for assessing and predicting the health of oil and gas assets.
o First Principle and Physics-Informed Modeling: Integrate first principle and physics-informed approaches with data-driven models to enhance predictive accuracy and interpretability in industrial applications.
o Statistical Analysis: Apply advanced statistical analysis techniques to identify patterns, quantify uncertainties, and support data-driven decision-making.
Azure Databricks & Cloud Expertise: Architect, develop, and deploy scalable machine learning solutions utilizing Azure Databricks and other Azure cloud services for big data and ML solutions.
Collaboration: Work closely with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage. Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.
Exploratory Data Analysis: Perform comprehensive exploratory data analysis to identify patterns, generate insights, and effectively communicate findings to technical and non-technical stakeholders within the oil and gas sector.
Model Optimization: Optimize model performance by addressing issues such as overfitting, underfitting, and bias, ensuring scalability and performance in production environments.
Mentorship: Mentor junior data scientists and ML engineers in model development, data handling, and ethical considerations in AI/ML practices, fostering a culture of continuous learning and excellence.
Continuous Learning: Stay abreast of the latest advancements in machine learning, AI research, and computer vision techniques, actively applying new methods to enhance model performance and scalability in real-world industrial applications.
Desired Skills and Experience
Education: Master's or Ph.D. in Computer Science, Chemical Engineering, Statistics, Mathematics, or a related field with 7+ years of relevant experience, demonstrating a strong track record in AI/ML and computer vision. A Ph.D. is preferred.
Technical Proficiency: Expertise in Python and proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Proven experience with cloud platforms, specifically Azure, for deploying big data and ML solutions. Strong experience with Azure Databricks is essential.
Deep Learning Expertise: Extensive hands-on experience in applying deep learning techniques and neural networks to real-world problems, particularly in industrial analytics and computer vision. Proven ability to develop, train, and optimize models for high-impact computer vision applications such as image recognition, object detection, and multimodal modeling in an industrial context.
Domain Knowledge: Demonstrated domain knowledge and hands-on experience within the Oil & Gas industry, including understanding of operational data, asset types, and industry-specific challenges.
Analytical Skills: Superior problem-solving, critical thinking, and analytical capabilities. Experience with both relational and non-relational databases, time-series data, and advanced data visualization techniques.
Modeling Expertise: Strong experience in asset health modeling, first principle modeling, physics-informed modeling, and advanced statistical analysis.
Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders clearly and effectively, including senior leadership.
Collaboration: A strong team player mindset capable of leading and working collaboratively within diverse teams and contributing to an inclusive work environment.
Continuous Learning: A pronounced passion for continuous learning and staying ahead in AI/ML and computer vision fields, with enthusiasm for applying new technologies to solve real-world problems in the oil and gas sector.
Why Join Us:
Join our Data Science & AI team and contribute to the future of AI/ML technology within the critical oil and gas industry! In this role, youll drive innovation and operational excellence in our AI/ML initiatives. Heres what you can expect:
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Job Description:
Position Summary
We are seeking a highly skilled and experienced Lead / Principal Data Scientist with a specialization in Machine Learning Engineering and Computer Vision to join our dynamic Data Science and AI team. In this pivotal role, you will be instrumental in transforming complex data into actionable insights and innovative solutions that drive our business strategy forward. You will leverage advanced machine learning, deep learning, and neural network techniques, with a specific focus on asset health, anomaly detection, and computer vision applications, to solve complex business challenges within the oil and gas domain. You will collaborate closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms. This position offers the opportunity to be at the forefront of AI/ML advancements, applying your expertise to real-world industrial analytics within the oil and gas sector.
Key Responsibilities
Solution Development: Lead the ideation, prototyping, and implementation of cutting-edge AI/ML solutions to meet emerging business requirements in the oil and gas industry.
Machine Learning Pipelines: Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment, specifically tailored for industrial analytics.
Deep Learning Models: Develop, train, and optimize deep learning models using neural network architectures (e.g., CNNs, RNNs, Transformers, GANs) and frameworks such as TensorFlow, Keras, or PyTorch. Apply these models to solve complex problems in areas like computer vision, asset health monitoring, predictive maintenance, and operational optimization within oil and gas.
Domain-Specific Modeling:
o Asset Health Modeling: Develop and deploy robust models for assessing and predicting the health of oil and gas assets.
o First Principle and Physics-Informed Modeling: Integrate first principle and physics-informed approaches with data-driven models to enhance predictive accuracy and interpretability in industrial applications.
o Statistical Analysis: Apply advanced statistical analysis techniques to identify patterns, quantify uncertainties, and support data-driven decision-making.
Azure Databricks & Cloud Expertise: Architect, develop, and deploy scalable machine learning solutions utilizing Azure Databricks and other Azure cloud services for big data and ML solutions.
Collaboration: Work closely with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage. Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.
Exploratory Data Analysis: Perform comprehensive exploratory data analysis to identify patterns, generate insights, and effectively communicate findings to technical and non-technical stakeholders within the oil and gas sector.
Model Optimization: Optimize model performance by addressing issues such as overfitting, underfitting, and bias, ensuring scalability and performance in production environments.
Mentorship: Mentor junior data scientists and ML engineers in model development, data handling, and ethical considerations in AI/ML practices, fostering a culture of continuous learning and excellence.
Continuous Learning: Stay abreast of the latest advancements in machine learning, AI research, and computer vision techniques, actively applying new methods to enhance model performance and scalability in real-world industrial applications.
Desired Skills and Experience
Education: Master's or Ph.D. in Computer Science, Chemical Engineering, Statistics, Mathematics, or a related field with 7+ years of relevant experience, demonstrating a strong track record in AI/ML and computer vision. A Ph.D. is preferred.
Technical Proficiency: Expertise in Python and proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Proven experience with cloud platforms, specifically Azure, for deploying big data and ML solutions. Strong experience with Azure Databricks is essential.
Deep Learning Expertise: Extensive hands-on experience in applying deep learning techniques and neural networks to real-world problems, particularly in industrial analytics and computer vision. Proven ability to develop, train, and optimize models for high-impact computer vision applications such as image recognition, object detection, and multimodal modeling in an industrial context.
Domain Knowledge: Demonstrated domain knowledge and hands-on experience within the Oil & Gas industry, including understanding of operational data, asset types, and industry-specific challenges.
Analytical Skills: Superior problem-solving, critical thinking, and analytical capabilities. Experience with both relational and non-relational databases, time-series data, and advanced data visualization techniques.
Modeling Expertise: Strong experience in asset health modeling, first principle modeling, physics-informed modeling, and advanced statistical analysis.
Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders clearly and effectively, including senior leadership.
Collaboration: A strong team player mindset capable of leading and working collaboratively within diverse teams and contributing to an inclusive work environment.
Continuous Learning: A pronounced passion for continuous learning and staying ahead in AI/ML and computer vision fields, with enthusiasm for applying new technologies to solve real-world problems in the oil and gas sector.
Why Join Us:
Join our Data Science & AI team and contribute to the future of AI/ML technology within the critical oil and gas industry! In this role, youll drive innovation and operational excellence in our AI/ML initiatives. Heres what you can expect:
- Be at the forefront of AI/ML advancements, applying your skills to solve real-world problems in the oil and gas sector.
- Collaborate with a talented team of Data Scientists, ML Engineers, and AI Engineers.
- Work in a fast-paced environment that fosters continuous learning and growth.
- Make a significant impact on the companys success through the power of AI/ML and computer vision.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.