Senior Data Scientist, Grade I

Company Profile

Overview

Since year 2003, Oceaneering’s India Center has been an integral part of operations for Oceaneering’s robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics.

Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more.

In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE).

Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy.

At Oceaneering India Center, we take pride in “Solving the Unsolvable” by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale.

Position Summary

Position Summary and Location

The Senior Data Scientist will develop integrated Machine Learning and/or Deep Learning based solutions on products that address customer needs in operations such as inspection topside and subsea. He/She will also be responsible for development of machine vision algorithms for automation and development of data analytics programs for Oceaneering’s next generation systems.

The position requires the Senior Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment.

Duties And Responsibilities

Duties and Responsibilities

Essential

• Lead and supervise a team of entry level engineers on product/prototype design & development assignments or applications in the Software/Computer Vision/Machine learning/Deep learning domain.
• Develop robust computer vision algorithms that will be deployed in existing and new products.
• Take ideas and algorithms from first conception to real-world, real-time implementation and deployment.
• Conduct advanced research, benchmark and implement Computer Vision, Image processing and Deep Learning algorithms for integration into Company products.
• Innovate, adopt and develop algorithms and solutions to advance Object tracking and classification.
• Iteratively develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state of the art systems
• Support the technical direction and strategy for solving complex, significant, or major issues.
• Prepares design proposals to reflect cost, schedule and technical approaches.
• Work with third parties to utilize off-the-shelf industrial solutions.
• Work directly with software engineers to implement algorithms into commercial software products.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Build data models and organize structured and unstructured data to interpret solutions.
• Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models.
• Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Perform all other duties as requested, directed or assigned
  
  

Non-essential

• Develop an awareness of programming and design alternatives
• Cultivate and disseminate knowledge of application development best practices
• Gather statistics and prepare and write reports on the status of the programming process for discussion with management and/or team members
• Direct research on emerging application development software products, languages, and standards in support of procurement and development efforts
• Train, manage and provide guidance to junior staff
  
  

Supervisory Responsibilities

• This position has/does not have direct supervisory responsibilities.
  
  

Reporting Relationship

Manager - AIML Engineering

Qualifications

Qualifications

Required

• Bachelor’s degree in Computer Science or Software Engineer (or related field) with five or more years of past experience working on Computer Vision and Deep Learning based projects
  
  

OR

Master’s degree in Computer Science or Software Engineering (or related field) with three or more years of past experience working on Computer Vision and Deep Learning based projects

• Technically fluent in programming languages, including C, C++, Java, C# and other object oriented paradigms
• Competent and proficient understanding of platforms such as UNIX (Solaris and Linux) and Windows
• Hands-on software troubleshooting experience
• Edge based and/or cloud based AI/ML Code deployment experience (DevOps)
• Experience with Azure Cloud based ML services
• Must be able to learn, understand, and apply new technologies
• Strong coding skills.
• Experience in computer vision, image processing and other related applied engineering fields.
  
  

DESIRED

• Knowledge of git and version control
• Familiarity with NVIDIA's Jetson Board & Deep Stream Framework on Linux/Ubuntu machines
• Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence with Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python
• Knowledge of inner working of any vision software (such as OpenCV, PCL, CNN)
• Knowledge of Machine Learning, Natural Language Processing, Large Scale Data Mining or Artifical Intelligence
• Passion to develop novel robotics solutions applying the skills in computer vision, AI and Deep Learning
• Strong background in mathematics and/or statistics is highly desirable.
  
  

Knowledge, Skills, Abilities, And Other Characteristics

• Ability to analyze situations accurately, utilizing a variety of analytical techniques in order to make well informed decisions
• Ability to effectively prioritize and execute tasks in a high-pressure environment
• Skill to gather, analyze and interpret data.
• Ability to determine and meet customer needs
• Ensures that others involved in a project or effort are kept informed about developments and plans
• Knowledge of communication styles and techniques
• Ability to establish and maintain cooperative working relationships
• Skill to prioritize workflow in a changing work environment
• Knowledge of applicable data privacy practices and laws
• Strong analytical and problem-solving skills.
  
  

Additional Information

Working Conditions

This position is considered OFFICE WORK which is characterized as follows.

• Almost exclusively indoors during the day and occasionally at night
• Occasional exposure to airborne dust in the workplace.
• Work surface is stable (flat)
  
  

Physical Activity/Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This position is considered LIGHT work.

OCCASIONAL

FREQUENT

CONSTANT

• Lift up to 20 pounds
• Climbing, stooping, kneeling, squatting, and reaching
• Lift up to 10 pounds
• Standing
• Repetitive movements of arms and hands
• Sit with back supported
  
  

Closing Statement

Career Development

In addition, we make a priority of providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. As well as developing employees in a specific role, we are committed to lifelong learning and ongoing education, including developing people skills and identifying future supervisors and managers. Every month, hundreds of employees are provided training, including HSE awareness, apprenticeships, entry and advanced level technical courses, management development seminars, and leadership and supervisory training.

We have a strong ethos of internal promotion. We can offer long-term employment and career advancement across countries and continents.

Working at Oceaneering means that if you have the ability, drive, and ambition to take charge of your future-you will be supported to do so and the possibilities are endless.

Equal Opportunity/Inclusion

Oceaneering’s policy is to provide equal employment opportunity to all applicants.