Principal Data Scientist

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 Principal Data Scientist will develop Machine Learning and/or Deep Learning based integrated solutions that address customer needs such as inspection topside and subsea. They will also be responsible for development of machine learning algorithms for automation and development of data analytics programs for Oceaneering’s next generation systems.

The position requires the Principal 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 & Responsibilities

Duties and Responsibilities

Essential

• Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications.
• Work both independently and collaboratively to develop custom data models and algorithms to apply on data sets that will be deployed in existing and new 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.
• Build data models and organize structured and unstructured data to interpret solutions.
• Prepares data for predictive and prescriptive modeling.
• Architect solutions by selection of appropriate technology and components
• Determines the technical direction and strategy for solving complex, significant, or major issues.
• Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks.
• Prepares design proposals to reflect cost, schedule, and technical approaches.
• Recommends test control, strategies, apparatus, and equipment.
• Develop, construct, test, and maintain architectures.
• Lead research activities for ongoing government and commercial projects and products. Collaborate on proposals, grants, and publications in algorithm development. Collect data as warranted to support the algorithm development efforts.
• Work directly with software engineers to implement algorithms into commercial software products.
• Work with third parties to utilize off the shelf industrial solutions.
• Algorithm development on key research areas based on client’s technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field.
• Ability to work hands-on in cross-functional teams with a strong sense of self-direction.
  
  

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
• Perform all other duties as requested, directed or assigned
  
  

Supervisory Responsibilities

• This position does not have direct supervisory responsibilities.
  
  

Reporting Relationship

• Engagement Head
  
  

Qualifications

Qualifications

Required

• Bachelor’s degree in Electronics and Electrical Engineering (or related field) with eight or more years of past experience working on Machine Learning and Deep Learning based projects
  
  

OR

Master’s degree in Data Science (or related field) with six or more years of past experience working on Machine Learning and Deep Learning based projects

DESIRED

• Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc.
• Proficient in Object Oriented Analysis, Design and Programming
• Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc.
• Prior experience in handling large amount of data that includes texts, shapes, sounds, images and/or videos.
• Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o etc.
• Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc.
• Proficient in querying SQL and NoSQL databases
• Hands on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc.
• Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm
• Proficient in Windows and Linux Operating Systems
• Basic understanding of ML frameworks like PyTorch and TensorFlow
• Basic understanding of IoT protocols like Kafka, MQTT or RabbitMQ
• Prior experience with bigdata platforms like Hadoop, Apache Spark, or Hive is a plus.
  
  

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.
  
  

Closing Statement

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 work place
• Work surface is stable (flat)
  
  

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
  
  

Career Development

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.