{"id":3062554,"url":"https://alion.io/job/oceaneering-international-principal-data-scientist","title":"Principal Data Scientist","company":{"id":176562,"name":"Oceaneering International","domain":"oceaneering.com","url":"https://alion.io/company/oceaneering-international","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":34,"ghost_share":0,"stale_share":0.647,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chandigarh, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Autonomous Navigation","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CNN","optional":false},{"name":"Computer Vision","optional":false},{"name":"Gazebo","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Motion Planning","optional":false},{"name":"Obstacle Avoidance","optional":false},{"name":"OpenCV","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"ROS","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Simulink","optional":false},{"name":"SLAM","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Transformers","optional":false},{"name":"Unix","optional":false},{"name":"Windows","optional":false},{"name":"Ubuntu","optional":true}],"status":"live","first_seen_at":"2026-10-22T05:50:19Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-28T11:21:36Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"The Principal Data Scientist (Computer Vision and Robotics) will develop machine learning, deep learning, perception, and autonomous-system solutions that address customer needs such as topside and subsea inspection, navigation, and intervention. The role is responsible for machine vision, sensor-fusion, localization, path-planning, decision-making, and data-analytics algorithms for Oceaneering’s next-generation robotic and autonomous systems.\n Lead and guide engineers on product and prototype design and development assignments across software, computer vision, robotics, machine learning, deep learning, and autonomous systems\nArchitect perception and autonomy solutions through appropriate selection of cameras, sonar, LiDAR, inertial sensors, compute platforms, middleware, and algorithms\nLead advanced research and development in computer vision, robotic perception, multi-sensor fusion, visual/sonar SLAM, localization, mapping, and autonomous navigation\nWork with third parties to utilize off the shelf industrial solutions\n\nIteratively develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state of the art systems\n\nInnovate and develop algorithms for object detection, tracking and classification, pose estimation, obstacle avoidance, trajectory prediction, motion planning, and closed-loop robotic decision-making\nDevelop and evaluate path-planning, task-planning, behavior-planning, and control approaches for robots operating in dynamic, uncertain, and GPS-denied environments\nApply reinforcement learning (RL), imitation learning, offline RL, and human-feedback approaches, including RLHF where appropriate, to improve autonomous decision-making while maintaining safety, explainability, and operational constraints\nBuild simulation, synthetic-data, hardware-in-the-loop, and field-validation workflows; define autonomy metrics and verify robustness, fail-safe behavior, and sim-to-real performance\nAlgorithm 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.\n\nAbility to work hands-on in cross-functional teams with a strong sense of self-direction\n\nDevelop an awareness of programming and design alternatives\n\nCultivate and disseminate knowledge of application development best practices\n\nGather statistics and prepare and write reports on the status of the programming process for discussion with management and/or team members\n\nDirect research on emerging application development software products, languages, and standards in support of procurement and development efforts\n\nTrain, manage and provide guidance to junior staff\n\nPerform all other duties as requested, directed or assigned\n\n REQUIRED\nBachelor’s degree in computer science, Robotics, Artificial Intelligence, Electrical/Electronics Engineering, Software Engineering, or a related field, with eight or more years of experience delivering computer vision, deep learning, robotics, or autonomous-system projects\n\nOR\nMaster’s degree in computer science, Robotics, Artificial Intelligence, Electrical/Electronics Engineering, Software Engineering, or a related field, with six or more years of experience delivering computer vision, deep learning, robotics, or autonomous-system projects\n\nDESIRED\nKnowledge of inner working of any vision software (such as OpenCV, PCL, CNN, Visual Transformers)\n\nExperience with robotics frameworks and simulators such as ROS/ROS 2, Gazebo, Isaac Sim, MATLAB/Simulink, or equivalent platforms\nStrong understanding of autonomous navigation, kinematics and dynamics, state estimation, sensor calibration and fusion, SLAM, path and trajectory planning, motion control, and safety-aware autonomy\nHands-on experience with reinforcement learning libraries and techniques, including policy optimization, reward design, imitation learning, offline RL, human-in-the-loop learning, and RLHF concepts\nExperience deploying real-time perception and autonomy workloads on edge accelerators, with working knowledge of deterministic performance, latency optimization, telemetry, MLOps, and field diagnostics\nTechnically fluent in programming languages, including Python, C, C++, Java, C# and other object-oriented paradigms\n\nCompetent and proficient understanding of platforms such as UNIX (Solaris and Linux) and Windows\n\nHands-on software troubleshooting experience\n\nMust be able to learn, understand, and apply new technologies\n\nStrong coding skills.\n\nEdge based and/or cloud-based AI/ML Code deployment experience (DevOps)\n\nExperience with Azure Cloud based ML services\n\nExperience in computer vision, image processing and other related applied engineering fields.\n\nStrong background in mathematics and/or statistics is highly desirable.\n\nKnowledge of git and version control\n\nFamiliarity with NVIDIA's Jetson Board & Deep Stream Framework on Linux/Ubuntu machines\n\nKnowledge, Skills, Abilities, and Other Characteristics\nAbility to analyze situations accurately, utilizing a variety of analytical techniques in order to make well informed decisions\n\nAbility to effectively prioritize and execute tasks in a high-pressure environment\n\nSkill to gather, analyze and interpret data\n\nAbility to determine and meet customer needs\n\nEnsures that others involved in a project or effort are kept informed about developments and plans\n\nKnowledge of communication styles and techniques\n\nAbility to establish and maintain cooperative working relationships\n\nSkill to prioritize workflow in a changing work environment\n\nKnowledge of applicable data privacy practices and laws\n\nStrong analytical and problem-solving 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