Oceaneering

Principal Data Scientist

HSSE Analyst

Intel Corporation


PLM/MDM Sr. Software Application Architect

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The PLM/MDM Sr. Software Application Architect designs, develops, tests, and debugs software applications, spanning both frontend and backend development.  Responsibilities include designing, developing, testing, and debugging software; working across the full application stack; using modern software development methodologies and programming languages; following secure coding practices; analyzing user stories; automating build and deployment; performing unit, integration, and end-to-end testing; collaborating with product security engineers; contributing to product documentation; and interacting with end-users to define system requirements.  The role requires extensive experience with SAP PLM and MDM implementations, supply chain management, and data migration.

Semiconductor Manufacturing&nbsp;

<div class="ats-description"><h2>Job Description</h2><div>The PLM/MDM Sr. Software Application Architect designs, develops, tests, and debugs software applications, spanning both frontend and backend development. This role involves using modern methodologies, ensuring secure coding practices, and integrating with other applications.</div><div></div><div>In this role, your responsibilities will include:  </div><div><ul><li>Design, develop, test, and debug software applications for end-users or integration with ISVs.</li></ul></div><div><ul><li>Work across the full application stack, including frontend and backend development.</li></ul></div><div><ul><li>Use modern software development methodologies and programming languages.</li></ul></div><div><ul><li>Follow secure coding practices and software legal compliance guidelines.</li></ul></div><div><ul><li>Analyze user stories, write functional and test code, and automate build and deployment.</li></ul></div><div><ul><li>Perform unit, integration, and end-to-end testing of applications.</li></ul></div><div><ul><li>Complete SDL tasks with product security engineers.</li></ul></div><div><ul><li>Provide input to technical writers for product documentation and procedures.</li></ul></div><div><ul><li>Interact with end users to define system requirements and modifications.</li></ul></div><h2>Qualifications</h2><div>You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.</div><div></div><div>Minimum Qualifications:  </div><div><ul><li>Bachelor’s Degree with 6+ years of experience, OR Master’s Degree with 4+ years of experience, OR PHD with 2+ years of experience in Cybersecurity, Information Security, Electrical/Computer Engineering, or Computer Science, or STEM-related field.</li></ul></div><div><ul><li>6+ years of experience in Planning and PLM Integration with SAP.</li></ul></div><div><ul><li>6+ years of experience with Supply Chain Management (SCM) and Product Lifecycle Management (PLM).</li></ul></div><div><ul><li>Experience with at least one large-scale SAP MDM and PLM implementation.</li></ul></div><div><ul><li>6+ years of experienceSAP MD configuration, customization, and administration activities.</li></ul></div><div></div><div>Preferred Qualifications:</div><div><ul><li>SAP integration experience with upstream and downstream systems.</li></ul></div><div><ul><li>Data migration experience from legacy to new SAP ERP systems and legacy PLM to industry-standard PLM systems.</li></ul></div><div><ul><li>Experience in the semiconductor domain.</li></ul></div><div><ul><li>Prior experience in handling digital transformation initiatives.</li></ul></div><div><ul><li>Experience with items, BOM, change management, and workflow automation.</li></ul></div><div><ul><li>Projects execution in Agile methodology.</li></ul></div><div><ul><li>Expertise in Product Data Management (PDM) and Product Lifecycle Management (PLM).</li></ul></div><h2>Inside this Business Group</h2>Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.<h2>Posting Statement</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.<h2>Benefits</h2>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits Annual Salary Range for jobs which could be performed in the US $144,501.00-$217,311.00*Salary range dependent on a number of factors including location and experience<h2>Working Model</h2>This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.</div>

The Principal Data Scientist will lead a team in developing ML/DL solutions for inspection (topside and subsea), automation, and next-generation systems.  Responsibilities include developing data models and algorithms, analyzing data for optimization, assessing data sources, building data models, preparing data for modeling, architecting solutions, determining technical direction, preparing design proposals, recommending test strategies, developing and maintaining architectures, leading research, collaborating on projects and publications, working with software engineers and third parties, and algorithm development.  The role requires collaboration across global business units and offers a hybrid work environment.

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 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 &amp; 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 &amp; 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 &amp; 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 &amp; Responsibilities Duties and Responsibilities  Essential <ul><li> Lead and supervise a team of moderately experienced engineers on product/prototype design &amp; development assignments or applications.</li><li> 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.</li><li> Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li> Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li> Build data models and organize structured and unstructured data to interpret solutions.</li><li> Prepares data for predictive and prescriptive modeling.</li><li> Architect solutions by selection of appropriate technology and components</li><li> Determines the technical direction and strategy for solving complex, significant, or major issues.</li><li> Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks.</li><li> Prepares design proposals to reflect cost, schedule, and technical approaches.</li><li> Recommends test control, strategies, apparatus, and equipment.</li><li> Develop, construct, test, and maintain architectures.</li><li> 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.</li><li> Work directly with software engineers to implement algorithms into commercial software products.</li><li> Work with third parties to utilize off the shelf industrial solutions.</li><li> 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.</li><li> Ability to work hands-on in cross-functional teams with a strong sense of self-direction. </li></ul>
Non-essential <ul><li> Develop an awareness of programming and design alternatives</li><li> Cultivate and disseminate knowledge of application development best practices</li><li> Gather statistics and prepare and write reports on the status of the programming process for discussion with management and/or team members</li><li> Direct research on emerging application development software products, languages, and standards in support of procurement and development efforts</li><li> Train, manage and provide guidance to junior staff</li><li> Perform all other duties as requested, directed or assigned </li></ul>
 Supervisory Responsibilities  <ul><li> This position does not have direct supervisory responsibilities. </li></ul>
 Reporting Relationship  <ul><li> Engagement Head </li></ul>
Qualifications Qualifications  Required <ul><li> 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 </li></ul>
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 <ul><li> Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc.</li><li> Proficient in Object Oriented Analysis, Design and Programming</li><li> Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc.</li><li> Prior experience in handling large amount of data that includes texts, shapes, sounds, images and/or videos.</li><li> Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o etc.</li><li> Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc.</li><li> Proficient in querying SQL and NoSQL databases</li><li> Hands on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc.</li><li> Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm</li><li> Proficient in Windows and Linux Operating Systems</li><li> Basic understanding of ML frameworks like PyTorch and TensorFlow</li><li> Basic understanding of IoT protocols like Kafka, MQTT or RabbitMQ</li><li> Prior experience with bigdata platforms like Hadoop, Apache Spark, or Hive is a plus. </li></ul>
Knowledge, Skills, Abilities, And Other Characteristics <ul><li> Ability to analyze situations accurately, utilizing a variety of analytical techniques in order to make well informed decisions</li><li> Ability to effectively prioritize and execute tasks in a high-pressure environment</li><li> Skill to gather, analyze and interpret data.</li><li> Ability to determine and meet customer needs</li><li> Ensures that others involved in a project or effort are kept informed about developments and plans</li><li> Knowledge of communication styles and techniques</li><li> Ability to establish and maintain cooperative working relationships</li><li> Skill to prioritize workflow in a changing work environment</li><li> Knowledge of applicable data privacy practices and laws</li><li> Strong analytical and problem-solving skills. </li></ul>
 Closing Statement Working Conditions  This position is considered OFFICE WORK which is characterized as follows. <ul><li> Almost exclusively indoors during the day and occasionally at night</li><li> Occasional exposure to airborne dust in the work place</li><li> Work surface is stable (flat) </li></ul>
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 <ul><li>Lift up to 20 pounds</li><li>Climbing, stooping, kneeling, squatting, and reaching</li><li>Lift up to 10 pounds</li><li>Standing</li><li>Repetitive movements of arms and hands</li><li>Sit with back supported </li></ul>
 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.
 
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