Data Scientist - Entry

Data Scientist- AI Architect

Food Scientist

Vulcanization Specialist

MSAT - Process Analytical Technology Scientist

Senior Product Manager

ASC - Project Finance - Sr Financial Analyst

ASC - Downstream Data Scientist

Machine Learning Scientist

ASC - Process Engineer

Role Description:The Data Scientist role will work in a team environment to deliver business solutions.This will involve engaging with clients, internal onsite experts, and contract resources to develop and support IT solutions.Responsibilities: Works on clearly defined projects involving a limited amount of complexity, with regular review of output.Applies basic knowledge of established systems software development principles and best practices to independently resolve problems and make minor changes to existing processes/systems.Good to have sound knowledge on Generative AI , machine learning concepts and principles.Knowledge of advanced predictive analytics using tools like Python or R.Knowledge of Frameworks such as Scikit-learn , Numpy, Pandas, Beautifulsoup, Matplotlib, Dash.Experience working with visualization tools like Power BI and Tableau.Strong written, verbal and interpersonal communication skills.Ability to work in teams and good team player.Requirements:0.6 -2 Years of Experience.Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.Should have attended a Data Science Bootcamp / Course / Internship.

Responsibilities: As part of the Data Science organization at our client, the Generative AI team is working on digital transformation.We are developing enterprise solutions for Commercial, Technology and Operations functions. As an AI Engineer you will lead the design, development and adoption of new technology and analytics, help contribute to our AI strategy, and partner with leaders across the company.The role will involve collaborating with cross-functional teams to ensure the successful creation and roll-out of AI driven solutions.Role Type : Individual Contributor As AI Engineers you will perform work including: Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support AI applicationsPerform statistical analysis and data manipulation using language models.Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.Architect and design innovative AI solutions tailored to business requirements.Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.Communicate complex technical concepts and results to non-technical audiences effectively.Contribute to the development of AI strategies and governance for the organization.Stay current with advancements in AI and machine learning technologies and apply them to solve business challenges.Lead efforts to improve enterprise adoption and proficiency in the use of AI tools Requirements:10+ years of experience in data science, AI, or a related field preferred.Proficiency in software development and statistical analysis.Experience with Large Language Models and their applications.Strong communication skills and the ability to present technical results to business stakeholders.Experience with solution architecting and design preferred.Hands-on experience with cloud platforms such as Azure and/or AWS.Proficiency in programming languages such as Python, R, or similar.Strong problem-solving skills and the ability to work independently as well as part of a team.Bachelor's in Computer Science, Mathematics, Statistics, or a similar field. Master's or Ph.D. preferred.Preferred Qualifications: Experience with large language models and supporting workflows.History of project leadership and development.Familiarity with Agile development.Experience in applications related to sales, marketing, and market research a plus. 

Responsibilities:Technology Application Development: Lead the development and optimization of applications for our cultivated seafood technology, ensuring they meet high-quality standards and align with market needs.Research & Innovation: Conduct research to understand the properties and potential applications of cultivated seafood, identifying opportunities for innovation and improvement in the technology's applications.Process Optimization: Work closely with the R&D and production teams to guide the optimization of the cell culturing process for various applications based on product and market requirements, ensuring efficiency, consistency, and scalability.Technical Support: Provide technical support to clients, helping them understand and effectively use our cultivated seafood technology in their product development processes.Client Collaboration: Collaborate with clients to ensure the successful integration of our technology into their production processes, understanding their needs and ensuring our technology's applications meet their expectations.Sensory Evaluation: Design and conduct sensory evaluation tests to assess the quality and potential applications of products created using our technology.Regulatory Compliance: Coordinate with our Regulatory Affairs team to ensure all aspects of the technology's applications comply with relevant food safety and regulatory standards, maintaining accurate documentation and records.Cross-functional Collaboration: Collaborate closely with business development and production teams to align technology application development with business strategies and market demands.Continuous Improvement: Stay up-to-date with the latest advancements in food science and cell-culturing technologies, applying new knowledge to drive continuous improvement in our technology's applications.Requirements:Experience: 5-10 years of experience in food science, product development, or a related field, with a strong background in seafood product development.Education: Bachelor’s degree in Food Science, Food Technology, Biotechnology, or a related field. A Master’s or PhD is a plus.Prior experience with launching new products or categories is strongly preferred.Experience with owning and shaping a product in prior roles is strongly preferred.Exposure to seafood products is strongly preferred.Knowledge: In-depth understanding of food science principles, sensory evaluation techniques, and regulatory requirements. Experience with cell-culturing or alternative protein technologies is a plus.

Responsibilities:Lead Technology related innovation projects in collaboration with internal and external customers as well as suppliersIdentify customer requirements and translate them into specifications for company componentsDevelop & maintain interface to elastomer / compound makersExtend network and partnerships with suppliers, customers, and R&D institutionsAcquire and document Technology Know-How about the usage & application within the Semi-industry (lithography, inspection, deposition, etch, etc.)Link, consult and support the colleagues from the different Business Units, product management and development, simulation, production and test laboratory in elastomer topics within CompanyManage company elastomer portfolio and guide the qualification process for new elastomers and decide about the possible scope of application in vacuum valvesRequirements:MSc or PhD Degree as Materials Scientist, Chemist or equivalent, preferably with knowledge on elastomers or rubber materials C(FKM, FFKM, etc.)5+ years of relevant experience, in sealing- surfaces, systems, materials, favoured if within the semiconductor industryKnowledge on analytics and characterization of rubber compoundsGood network with research partners and ideally within the semiconductor industryPolymer chemistry, Rubber processing, Rubber testingUnderstanding of different cure system — sulfur, peroxide, phenol, diamineElastomer properties understandingCompression and transfer mouldingMould cleaning & maintenanceAnodization, Surface preparation for adhesive bondingCleanroom GMPUnderstand sealing applicationChemical instrumentation for FAEnglish and German speaker, any other language will be considered advantageousMust be available to travel globally to suppliers and customers facilities (10-20%)

Responsibilities:Aiding in setup and monitoring of bioprocess from 10L to 1000L bioreactors, especially operating associated sensors and analytical instruments.Acting as internal subject matter expert on all PAT instruments and associated data management pipelines.Leveraging process analytical data to identify opportunities for process optimization and improved control.Evaluation and selection of PAT equipment for streamlined process development and production.Collaboration with R&D, production and engineering teams to support day-to-day operations, product development, and regulatory needs.Lead investigations by analysing the data to identify anomalies, investigate their causes, and propose solutions.Understand the integration of PAT equipment requirements with electronic batch records to ensure all compliance and data monitoring needs are captured in manufacturing electronic documentation.Support other core PAT activities (e.g. preventative maintenance planning, system upgrades, periodic review, change management, deviation management, external agency/internal inspections).Requirements:3-5 years experience with animal cell culture in production reactors of at least 1 kLExperience with scaling animal cell processes from bench to production (10 to 1kL+ range), especially in PAT-led approaches for rapid, efficient scale-upProven experience independently designing and troubleshooting fermentation experiments using PAT approaches and instruments.Education:PhD. in Chemical Engineering, Biotechnology or related field + 5 years or M.S + 7 years of relevant industrial hands-on experienceSkills:Hands-on experience with PAT instruments and integration of sensors with bioreactor operations and control software is essential.In-depth knowledge of operation and optimization of in-line optical sensors, especially IR, for online monitoring and process control.Capable of working within a diverse team of internal and external stakeholdersStrong spoken and written English language skills.

Responsibilities:Define and Build the next generation of AI-driven experiences at our client working across our data platform teams and operating as a key driver of our AI product strategyDrive product and platform vision and create capabilities that add value to both merchants and consumers. Identify new unmet opportunities and gaps in the portfolio by analyzing the market and ecosystem.Collaborating cross-functionally in defining the personalization opportunities across the consumer journey, and define best in class personalization experiences for our client consumers globally.Evangelize, Communicate, and Influence, by driving alignment on vision, roadmap, investment needs, risks, and opportunities with large cross-functional teams, and leaders, including C-level executives.Develop experiments playbook so our models and teams are constantly learning and developing and evangelizing a strong point of view on how to improve KPIs.Execute with excellence in a cross-functional setting, building strong relationships with key stakeholders (data engineers, software engineers, product analytics, merchant tech and other business teams).Run lean experiments to learn and develop a strong point of view on how to improve KPIsDefine and develop closely with Data Science and Platform leadership the core data products needed to power personalized experiences.Define and measure key AI Platform performance indicators to evaluate and understand product value, performance and compute costs.Identifying new opportunities based on research, industry trends, and best practices, driving innovation and platform improvements.Deliver results. Own business outcomes and be responsible for hitting experience and revenue targets.Requirements:2+ years of experience in AI Product Development4+ years of experience in Product Management, with demonstrated success in launching and scaling multiple 0-1 products.Technical and business acumen with Identity, Data Normalization, Data usage limitation, and AI-driven personalization product background are critical along with demonstrated experience in defining and driving transformation initiatives.Experience inspiring and mobilizing all levels of the organization with your product vision, data-centric thinking, and customer/developer passion.Being comfortable in navigating ambiguity and establishing an iterative roadmap and experimentation culture.Defining the product and customer experience with high-quality business requirements and user stories while managing the scope of each product release and refining the technology architecture and scalability for the use case.Helping the teams move forward swiftly with rigor, speed, and transparency in decision-making.Removing roadblocks, setting a consolidated vision, and collaborating with excellence across all functions is critical.MBA or Masters in STEM fields.Highly skilled problem-solving and technical skills. Demonstrate a tech-savvy approach and love to stay on top of industry trends.Excellent and effective interpersonal and communication skills (written, verbal, and listening).Self-starter who doesn’t hesitate to proactively approach learning fastSkilled at working with cross-functional groups and matrix organizations in multiple geographies to manage multiple projects simultaneouslyExperience in areas like e-commerce, checkout, payments, and/or risk domain - a plus.

Responsibilities: You will be required to perform the following:Advise on bankability of project agreements and minimization of financing risk.Prepare business plans, financial forecasts, funding strategies and execution plans to support investment decisions and the optimal financing of projects.Coordinate the activities of investment banks, project advisors, project lenders and other project consultants in arranging the financing for projects.Provide professional and technical expertise for the analysis and solution of complex problems in any Treasury project finance area.Participate in and/or lead multi-disciplinary project evaluation and development teams assigned to grow and enhance current operations and profitability and to facilitate the successful implementation of the Company’s development strategies.Provide work direction and support to junior analysts. Mentor and develop talent within the organization.Keep abreast of and analyze international, regional and local economic and banking data; identify trends that may impact the Company; advise management on potential opportunities and alert management of potential risks.Requirements:As the successful candidate, you will hold a Bachelor’s degree in Finance, Economics, Accounting, Math, Information Systems, Engineering or Business. An MBA or other advanced business degree is preferred.Possess at least seven years of related project finance and corporate finance work experience, preferably in a banking environment or a major refining, petrochemical or energy industry corporation.Strong preference will be given to candidates with significant experience in Project & Structured Finance, Export Credit Agency Financing, Islamic Finance, the Debt Capital Markets, and the structuring of bankable commercial agreements.Significant exposure to joint venture development of mega-projects, EPC contracts, commercial & partnership Negotiations, financial modeling, economic evaluations, cash flow & variance analysis, project engineering and/or project management experience is highly desirable.Ability to quickly establish credibility in the position and to effectively interact with all levels of management, including senior leadership. Demonstrated ability to work within a matrix organization and with multi-disciplinary project teams and consultants to effectively and efficiently deliver results.Experience in leading and managing teams and/or organizations.Negotiation experience with and comprehension of complex legal agreements and banking documents.

Responsibilities:Formulate and lead multifaceted analytic studies against large volumes of data.Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Lead all data experiments tasked by the Data Science Team.Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develop methodology and processes for prioritization and scheduling of projects.Analyze problems and determine root causes.Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.You will have 5-7 years of professional experience in related fieldYou will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.)You will be able to demonstrate experience applying data science methods to real-world data problemsYou will also have experience in utilizing visualization tools to take advantage of the growing volume of available information

Role Description:As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs The solutions developed by you will aid in building novel and meaningful graph-based community assets around the network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.Responsibilities: As a Machine Learning Scientist you will be responsible for:Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.Requirements:Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch. 

Role Description:Company is seeking a Senior Process Engineer to join the Transport Technologies Division of Company's Research & Development Center.The Transport Technologies Division conducts research and technology development in the area of transport fuels chemistry and advanced engine technologies.Our research focuses on the co-optimization of fuel and engine systems while we demonstrate the commercial viability of competitive internal combustion engine (ICE) platforms and low climate impact fuels, which will address the environmental and business sustainability of transport fuels for road, marine and aviation applications. The Process Engineer’s primary role is to provide engineering and process optimization support on developing sustainable synthetic fuels and chemicals production facilities including liaison with leading technology and engineering solution providers.Responsibilities:Participate in a unique, world-class project on innovative process design for transport fuels and petrochemicals production.Develop, configure and optimize industrial processes and participate in engineering and process design studies.Address technical challenges associated with adopting new process and retro fitting to existing refinery configurationsPerform financial modeling, cost estimates and projections on transport fuels and petrochemicals.Conduct techno-economic analysis and benchmarking of R&D projects against commercial and existing technologies Analyze the carbon footprint and energy intensity of new and existing refining/petrochemical processes; and suggest process improvements to reduce the carbon footprint and enhance energy efficiency. Liaise with business proponent and engineering teams within company. Mentor and oversee development of young engineers in the area of specialty. Find creative solutions to technical problems, both working individually and within a team.Requirements:Advanced degree in Chemical Engineering or relevant discipline from a recognized and approved program.At least 10 years of experience of process engineering in refining/petrochemicals industry.Experienced in refinery and petrochemical flowsheeting (PFD and P&ID), and equipment sizing and capital cost estimationKnowledgeable about standard refining, petrochemical processes (e.g. fluid catalytic cracking, hydrocracking, reforming,…etc.) and utilities process. Able to conduct detailed techno-economic assessment of R&D projects. Experience with R&D projects, process development and/or scale up is a plus. Strong project management, interpersonal skills and the capability to work effectively across multiple functional departments.

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86 petroleum refining laboratory scientist Jobs found

Data Scientist - Entry

Data Scientist- AI Architect

Food Scientist

Vulcanization Specialist

MSAT - Process Analytical Technology Scientist

Senior Product Manager

ASC - Project Finance - Sr Financial Analyst

ASC - Downstream Data Scientist

Machine Learning Scientist

ASC - Process Engineer

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86 petroleum refining laboratory scientist Jobs found

Data Scientist - Entry

Data Scientist- AI Architect

Food Scientist

Vulcanization Specialist

MSAT - Process Analytical Technology Scientist

Senior Product Manager

ASC - Project Finance - Sr Financial Analyst

ASC - Downstream Data Scientist

Machine Learning Scientist

ASC - Process Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.