Incident Investigator

Data Science Manager

Senior Data Scientist

Machine Learning Engineering Manager

Downstream Data Scientist

Chief Information Officer

Flight Control Systems Engineer

Flavourist

Software Engineer II

Validation Engineer

Role Description: <ul><li>We are seeking an industrial incident investigator to join the Loss Prevention organization (LP), which provides both day-to-day field coverage to company operations, as well as centralized technical support and consulting function.</li><li>Field offices are located in Abqaiq, Riyadh, Ras Tanura, Dhahran, Udhailiyah, Jeddah (including Yanbu and Jazan), and Tanajib.</li><li>Through these offices, LP provides its services to all facilities which are located all over the Kingdom.</li><li>The primary function of an industrial incident investigator is to help investigate industrial incidents (fires, major leaks, hydrocarbon explosions, etc.), identify proper root causes, and correctly identify actions necessary to prevent recurrence.</li><li>This includes preparing draft and final incident reports, and providing long term support to address all recommendations.</li></ul> Responsibilities: You will be required to perform the following: <ul><li>Mobilize to incident sites as soon as it is safe to do so.</li><li>Investigate industrial incidents, especially those classified as major or moderate.</li><li>Provide ongoing support to the investigation team by ensuring proper understanding of investigation techniques.</li><li>Conduct through investigations utilizing the proper investigative tools that fit the incident in question.</li><li>Develop or thoroughly review all necessary draft reports and complete all stages of review.</li><li>Prepare or thoroughly review final incident reports.</li><li>Identify recommendations that should be shared globally for corporate wide implementation.</li><li>Develop lessons learned and safety bulletins to help address recommendations properly.</li><li>Carry out educational engagements to ensure lessons learned are properly and timely communicated.</li><li>Act the subject matter expert in developing and reviewing corporate safety guidance on incident investigations.</li></ul> Requirements: <ul><li>As the successful candidate, you must hold a Bachelor degree in one of the following: Chemical Engineering, Mechanical Engineering, Electrical Engineering, Civil Engineering, or a related engineering discipline.</li><li>You must have years of experience investigating major and moderate, not only minor, industrial incidents and deep understanding of the various tools and techniques currently utilized to conduct such investigations.</li><li>You must have an excellent ability to communicate in English with peers as well as members of management, and be able to produce clear and concise oral and written reports in English.</li><li>You should have a good understanding of modern safety management systems, processes, and techniques; as well as international fire and safety codes, recommended practices, and specifications.</li></ul> Desired Competencies The following are some of the highly desired competencies for a successful candidate: <ul><li>Understanding of the hazards related to industrial facilities and their relevant controls.</li><li>Understanding of incident causation and impact of human factors.</li><li>Knowledge in forensic science and ability to examine and scrutinize evidence on incident sites.</li></ul> Working environment <ul><li>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.</li><li>Our people work on truly world-scale projects, supported by investment in capital and technology that is second to none.</li><li>And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.</li><li>We have a proud history of educating and training our workforce over many decades.</li><li>Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.</li></ul>

Responsibilities: <ul><li>Work with Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needs</li><li>Collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering).</li><li>Support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data products</li><li>Partner with IT to secure data models are built leveraging best practices and ensuring KPI automation.</li><li>Lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments</li><li>Develop strategical reports and dashboards with a Proof of Value and scalability approach.</li><li>Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments).</li><li>Work as a translator between business and IT departments for KPIs definition and automation.</li><li>Coordinate user-focused documentation for the data solutions.</li><li>Collaborate with architects from the IT department to support data governance and quality efforts.</li><li>Support requests prioritization to align workload to business strategy.</li><li>Coordinate and develop teams of Data Scientists.</li><li>Communicate insights, data products and reports status and results clearly to the partners.</li><li>Negotiate requests, workloads and team assignment with different partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science.</li><li>Masters degree in Data Science, Computer Science, Statistics or related area is a plus.</li><li>5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning.</li><li>Advanced experience with programming languages for data modeling (SQL, R, Python).</li><li>Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI).</li><li>Experience with cloud platforms (desireable experience with AWS).</li><li>Project Management &amp; communication skills.</li><li>Experience on Agile methodologies (SCRUM desirable).</li><li>Problem solving/critical thinking mindset.</li><li>Highly organized.</li><li>Data storytelling and communication skills.</li><li>Proficiency in English.</li></ul>

Responsibilities:<ul><li>Serve as the primary source of data insights supporting internal and external constituencies</li><li>Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.</li><li>Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.</li><li>Institute and adopt best practices in data science, platforms, and approaches.</li><li>Establish internal organizational standards and benchmarks.</li><li>Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.</li><li>Become an internal authority on data tools and resources</li><li>Support ad-hoc business intelligence and other strategic initiatives</li></ul>&nbsp;Requirements<ul><li>PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.</li><li>Minimum 5 years of hands-on experience in data science, including developing and production rising data science models</li><li>Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).</li><li>Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders</li></ul>

Role: <ul><li>Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals.</li><li>Collaborate with product owners, data scientists &amp; analysts to identify innovative &amp; optimal machine learning solutions that leverage data to meet business goals.</li><li>Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework.</li><li>Scale the proven ML use-cases across the SAPMENA region.</li><li>Be responsible for optimal ML costs.</li></ul> Responsibilities: <ul><li>Deep understanding of business/functional needs, problem statements and objectives/success criteria</li><li>Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into machine learning problem statements and specific deliverables</li><li>Act as the ‘Conduit’ between product owners, data scientists, data analysts and data engineers to develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments</li><li>Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed</li><li>Act as ‘Owner’ of end-to-end machine learning systems and their scaling</li><li>Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving</li><li>Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX</li><li>Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs</li><li>Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops</li></ul>&nbsp;Requirements: <ul><li>Preferred education qualifications: Bachelor/ Masters degree in Computer Science OR Data Science OR Applied Mathematics OR related technical degree</li><li>Required experience: 8-10 Years</li><li>5+ years in developing and deploying enterprise-scale ML solutions</li><li>Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),</li><li>Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction, deep learning, and ensemble</li><li>Proven expertise in Scikit-learn, XGBoost, LightGBM, TensorFlow</li><li>Prior experience on MLOps with Kubeflow or TFX</li><li>Advanced programming skills with Python/R and SQL</li><li>Prior experience on Data Science &amp; ML Engineering in public clouds (such as Google Cloud, AWS, Azure)</li><li>Strong technical understanding of Data &amp; Analytics concepts</li><li>Google Cloud Platform certifications (Professional Machine Learning Engineer) will be a big plus</li><li>Experience in Retail/FMCG domain is preferred</li><li>Experience in training with large volume of data (&gt;100 GB)</li><li>Experience in delivering ML projects using Agile methodologies is preferred</li><li>Proven ability to effectively communicate technical concepts and results to technical &amp; business audiences in a comprehensive manner</li><li>Proven ability to work proactively and independently to address product requirements and design optimal solutions</li><li>Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul>

CHIEF INFORMATION OFFICER BackgroundExcellence and Integrity in Global PharmaceuticalsFounded in 1990 and headquartered in Bangalore, India, our client is a leading global pharmaceutical company specializing in the development and manufacture of high-quality, affordable generic medications. With a presence across 100 countries, Strides has established itself as a prominent player in the global pharmaceutical arena through its unwavering commitment to quality, innovation and integrity. Operating in two key business verticals – Regulated Markets and Emerging Markets. The Regulated Markets business focuses on highly regulated geographies including the United States, the European Union, Canada, Australia and South Africa. The Emerging Markets business comprises operations in Africa and the institutional segment. With 8 manufacturing facilities spread across 4 continents, including 5 US FDA-approved plants, they have a robust global manufacturing footprint catering to international regulatory standards. The companys state-of-the-art R&amp;D facility in Bangalore enables continuous innovation through a dedicated team of 200+ scientists focused on developing complex, niche formulations. Strides possesses exceptional capabilities in producing technically challenging products across a diverse range of dosage forms, with a specific strength in soft gelatin capsules. Its product portfolio includes tablets, capsules, oral liquids, creams, ointments, controlled-release products, hormones, soft gels and more. By implementing advanced quality processes and compliance standards supported by IT-driven platforms, Strides has gained a significant competitive edge in navigating the evolving global regulatory climate. With 260+ ANDA approvals and 280+ cumulative filings, the company is strongly positioned to introduce 15-20 new products annually in key markets. Strides prides itself on its collaborative, high-performance work culture that values integrity, innovation and efficient execution. As a listening and communicating organization, Strides actively fosters open communication between leadership and employees through various forums. The company follows a "People First" approach, with a range of initiatives focused on wellbeing, growth, recognition and assimilation of new hires. With a diverse global workforce of 4600+ individuals, Strides emphasizes meritocracy, equal opportunity and respect for all. For individuals looking to build a career in the pharmaceutical sector, Strides offers exciting opportunities to work with the best minds and be part of an organization making a real difference in global healthcare access. Employees can look forward to gaining domain expertise, honing leadership skills and exploring overseas assignments as they grow within the Strides ecosystem.In summary, Strides Pharma Science represents an ideal workplace for talented professionals seeking to be part of a purpose-driven, value-creating global pharmaceutical enterprise guided by the utmost integrity and quality standards. <h1>The Role</h1> Strides Pharma Science is a global pharmaceutical company headquartered in Bengaluru, India, with a mission to provide quality and affordable medicines to people worldwide. With a strong commitment to innovation, quality, and sustainability, Strides Pharma Science is a leader in the pharmaceutical industry. We are seeking a dynamic and visionary Chief Information Officer (CIO) to lead our digital transformation and technology initiatives. Position Overview:As the Chief Information Officer at Strides Pharma Science, you will play a pivotal role in driving our digital transformation and technology strategy to accelerate growth and innovation in the pharmaceutical sector. You will lead a talented team of technology professionals and work closely with senior leadership to shape the future of our company. Key Responsibilities:<ol><li>Digital Transformation Leadership: Drive and oversee the digital transformation strategy, ensuring alignment with the companys goals and objectives. Leverage technology to streamline business processes and enhance operational efficiency.</li><li>Technology Strategy and Planning: Develop and execute a comprehensive technology strategy that aligns with the companys long-term vision. Identify emerging technologies and trends to gain a competitive advantage.</li><li>Information Security: Implement robust cybersecurity measures to protect sensitive data and ensure compliance with industry regulations.</li><li>Team Leadership: Build and lead a high-performing IT team, fostering a culture of innovation, collaboration, and continuous improvement.</li><li>Stakeholder Engagement: Collaborate with cross-functional teams, including Research &amp; Development, Manufacturing, Quality Assurance, and Regulatory Affairs, to align technology initiatives with business objectives.</li><li>Vendor Management: Manage vendor relationships and contracts to ensure cost-effective technology solutions that meet the companys needs.</li><li>Budget Management: Develop and manage the IT budget, optimizing resource allocation and cost control.</li><li>Pharmaceutical Industry Expertise: Ideally, bring a deep understanding of the pharmaceutical sector, including regulatory requirements, compliance, and industry-specific challenges.</li></ol> Qualifications:<ul><li>Education: Bachelors degree in Information Technology, Computer Science, or a related field (Masters degree preferred).</li><li>Experience: A minimum of 15 years of progressive experience in information technology leadership roles, with a proven track record of leading digital transformation initiatives at large organizations.</li><li>Pharmaceutical Experience: Ideally, experience within the pharmaceutical sector, including knowledge of regulatory compliance and industry-specific technologies.</li><li>Technology Expertise: Strong knowledge of emerging technologies, cloud computing, data analytics, cybersecurity, and IT infrastructure.</li><li>Leadership Skills: Exceptional leadership, communication, and interpersonal skills with the ability to inspire and motivate cross-functional teams.</li><li>Strategic Thinker: A visionary leader with the ability to develop and execute a technology strategy that aligns with the companys goals.</li></ul> Why Strides Pharma Science:Strides Pharma Science offers a dynamic and inclusive work environment where innovation and creativity are celebrated. Joining our team means contributing to the advancement of healthcare and improving the lives of millions of people worldwide. We offer competitive compensation, benefits, and opportunities for professional growth.If you are a visionary technology leader with a passion for digital transformation and a desire to make a meaningful impact in the pharmaceutical industry, we invite you to apply and be part of our journey.

Responsibilities: <ul><li>Understand and adhere to enterprise architecture principles and best practices</li><li>Developing web-based applications that interface with multiple SaaS components</li><li>Writing backend end business logic and integrating front end client UI with backend API’s</li><li>Understand overall infrastructure and success measures for designing and implementing architectures and solutions.</li></ul> Requirements: <ul><li>Bachelor of Science Degree is required</li><li>Major in Computer Engineering, Software Engineering, or Computer Science is preferred.</li><li>Bachelor’s Degree in Physics, Electrical, Aerospace, or Mechanical Engineering will be considered with sufficient software development experience.</li><li>Master’s Degree in the Engineering disciplines mentioned above is preferred.</li></ul> Position Requirements: <ul><li>Experience at all levels will be considered with a minimum of 2 years specific experience with flight controls, software, avionics, or electrical systems integration, development, and testing.</li><li>Familiarity with RTCA DO-160, MIL-STD-810, RTCA DO-178, RTCA DO-254, SAE ARP4754A, SAE ARP4761, 14 CFR Part 27 and Part 29 for commercial and military qualification and certification of aircraft systems.</li><li>Experience with Primary Development Environment:</li><li>MathWorks MATLAB / Simulink with Stateflow and Embedded Coder</li><li>C/C++ code</li><li>C# test scripts</li><li>IBM Rational DOORS</li><li>Serena Dimensions / PVCS</li><li>Git</li><li>Mentor Graphics Capital Harness System</li></ul>

Responsibilities: <ul><li>Develop or modify blends/flavors within a defined scope for use in various markets as per project or activity brief applying project management principles.</li><li>Conduct studies that will contribute to the development of new or modified product flavor systems from laboratory tests to industrial production.</li><li>Coordinate and/or prepare samples/ prototypes for evaluations and submit them for appropriate analytical and subjective testing.</li><li>Coordinate and participate in subjective evaluations for the purpose of developing new or modifying existing blends &amp; flavors.</li><li>Collect, review and analyze analytical and subjective results in order to propose appropriate action plans for the next step of the project.</li><li>Control product specs adherence to appropriate regulations, guidelines and quality standards.</li><li>Produce product specification documents and control that product quality is compliant with specifications, prepare reports for communication.</li><li>Carry out all of the activities ensuring that&nbsp;Compliance Policies, standards, and laws relating to these activities are fully respected, integrated and understood by stakeholders, and implement&nbsp;</li><li>adequate processes to ensure the protection of information of a confidential nature.</li></ul> Requirements: <ul><li>College/University/Master in science or equivalent in area of scientific / technical specialization (e.g. Flavor Science, Food Chemistry, Food Technology).</li><li>Min 3 years of relevant experience in tobacco or food industry</li><li>Good command of English is a must</li><li>Experience with multidisciplinary collaborations &amp; external partners</li><li>Comfortable in using / testing blends / flavors.</li><li>This job requires tasting and profiling the flavor systems in the finished products and therefore is intended only for individuals who are smokers.</li></ul>

Responsibilities : <ul><li>Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&amp;T core priorities</li><li>Partner with User Experience, Product Management, IT, Data &amp; Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio</li><li>Support software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.</li><li>Support expanding DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences</li><li>Help problem solve delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders</li><li>Interact with key business partners to recommend solutions that best meet the strategic needs of the business.</li></ul> Requirements: <ul><li>A Bachelor’s Degree in Computer Science, Engineering or a related field</li><li>Master’s or PhD in Computer Science or Engineering preferred</li><li>Minimum of&nbsp;3&nbsp;years of relevant software development and engineering management experience</li><li>Commanding knowledge of data structures, algorithms, and object oriented design&nbsp;&nbsp;</li><li>Expertise in Java and Spring / SpringBoot ecosystem, JUnit , BackEnd MicroServices, Serverless Computing, Creating REST API’S or Experience with JavaScript/TypeScript, Node.js, React / ReactNative FrontEnd frameworks&nbsp;or Full stack engineering experience&nbsp;</li><li>Experience with&nbsp;Azure Google Cloud,&nbsp;Amazon Web Services&nbsp;and cloud specific PaaS and SaaS solutions&nbsp;</li><li>Experience with mission critical, 24x7 systems&nbsp;</li><li>Experience with high throughput cloud&nbsp;native distributed&nbsp;systems&nbsp;</li><li>Experience implementing and consuming&nbsp;large-scale&nbsp;web services&nbsp;</li><li>Deep knowledge of design patterns&nbsp;</li></ul>

Responsibilities: <ul><li>The Validation Engineer works alone and as part of the Engineering Department to author and execute IQ/OQ/PQ protocols, engineering studies, facility qualifications and other documents related to production and business systems.</li><li>They will also be responsible for engineering and maintenance projects, such as repairs, upgrades or replacements as the need arises.</li><li>They will work with quality, technical operations and production to identify and resolve issues.&nbsp;</li><li>Adhere to all company and cGMP procedures as well as applicable safety regulations.</li><li>Author change controls, SOPs and protocols.</li><li>Protocols o Generates and executes validation protocols, and summarizes studies to ensure compliance with manufacturer and SPI specifications, with current Good Manufacturing Practices, and national standards.</li><li>Responsible for confirming all communicated validation plans to applicable management.</li><li>Provides technical assistance in the form of rationales or validation studies.</li><li>Responsible for effectively adopting modern validation techniques, current industry practices, risk management principles, science-based approaches and a strong understanding of processes and equipment.</li><li>Troubleshoots and resolves issues as needed.</li><li>Manage multiple projects with competing deadlines.</li><li>Manage external resources to complete tasks outside SPI’s capabilities.&nbsp;</li><li>Manage approvers of documents and procedures and ensure timely closure of tasks.</li><li>Manage project-related Change Requests form initiation through closure, including presentation to Change Control Committee.</li><li>Assist with deviation investigation and identify areas for CAPAs as needed based on root causes.</li><li>Source and procure equipment, supplies and other materials as needed.</li><li>Develop and maintain cross-functional relationships.&nbsp;</li></ul> Requirements: <ul><li>Bachelor of Science in Engineering or Science discipline preferred.</li><li>Experience in pharmaceutical (i.e. Validation/QA or R&amp;D), medical device, biotechnology industries.</li><li>In-depth knowledge of the pharmaceutical plant operations is an asset.</li><li>Proficient in Microsoft Word, Excel, Power Point, Project, AutoCAD and other software relevant to the performance of the Job</li><li>Experience authoring change controls in Trackwise or other management system.</li><li>Experience authoring SOPs in MasterControl or other management system.</li><li>Integrity – Works with integrity and ethically; Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality.</li><li>Collaboration – Works well in group problem solving situations; Speaks clearly and persuasively in positive or negative situations; listens and gets clarification; Responds well to questions.&nbsp;</li><li>People – Treats people with respect; Keeps commitments; inspires the trust of others; Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; promotes a harassment-free environment.</li><li>Responsive – Identifies and adapts to priority issues as they arise; Communicates with management and team members effectively; Works quickly and efficiently.</li><li>Proactive – Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions.</li><li>Organized – Tracks deadlines and adheres to schedules; Writes clearly and informatively; Presents numerical data effectively.</li><li>Learning Mindset – Adapts to unfamiliar situations as needed; Open to new ideas and methods; Readily familiarizes self with new equipment and processes.</li><li>Regularly lift and /or move up to 10 pounds and occasionally lift and/or move up to 50 pounds.</li><li>Climb ladders and work in high, precarious places up to elevations of 75 feet.</li><li>Regularly exposed to work near moving mechanical parts.</li><li>Exposed to wet or humid conditions.</li><li>Exposed to outdoor weather conditions.</li><li>Regularly exposed to high noise environments.</li><li>Exposed to extremely dusty environments.</li><li>Exposed to chemicals used in the manufacturing process.</li></ul>

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120 forensic science Jobs found

Incident Investigator

Data Science Manager

Senior Data Scientist

Machine Learning Engineering Manager

Downstream Data Scientist

Chief Information Officer

Flight Control Systems Engineer

Flavourist

Software Engineer II

Validation Engineer

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120 forensic science Jobs found

Incident Investigator

Data Science Manager

Senior Data Scientist

Machine Learning Engineering Manager

Downstream Data Scientist

Chief Information Officer

Flight Control Systems Engineer

Flavourist

Software Engineer II

Validation Engineer

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