Data Modeler

AI Lead

Product Specialist

Digital Planning & Governance Manager

Data Engineer Lead - Python and PySpark

Full Stack Developer

Digital Manager

Material Specialist

ASC - Sr. Planning & Performance Management Analyst

Food Scientist

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: Digital Strategy Development:&nbsp; <ul><li>Develop and implement digital strategies to align with the organizations overall objectives.&nbsp;</li><li>Ensure integration of digital plans across various departments.</li></ul>&nbsp;Governance and Compliance:&nbsp; <ul><li>Establish and maintain governance frameworks to ensure compliance with digital policies and regulations.&nbsp;</li><li>Monitor and report on compliance and risk management related to digital initiatives.</li></ul>&nbsp; Project Management:&nbsp; <ul><li>Oversee digital projects from conception to completion, ensuring timely delivery within budget.&nbsp;</li><li>Coordinate with cross-functional teams to ensure seamless execution of digital plans.</li></ul>&nbsp;Data Management and Analytics:&nbsp; <ul><li>Develop and implement data governance policies.&nbsp;</li><li>Utilize data analytics to inform decision-making and optimize digital performance.</li></ul>&nbsp;Stakeholder Management:&nbsp; <ul><li>Engage with key stakeholders to gather requirements and ensure their needs are met.&nbsp;</li><li>Communicate digital plans and progress to senior management and other stakeholders.</li></ul>&nbsp;Continuous Improvement:&nbsp; <ul><li>Stay updated with the latest digital trends and technologies.&nbsp;</li><li>Implement continuous improvement processes to enhance digital capabilities.&nbsp;</li><li>Responsible for developing and maintaining a quarterly and annual plan for the Digital organisation.&nbsp;</li><li>Aligning with business and our delivery partners, managing the budget and support the management of our strategic partner contracts.&nbsp;</li></ul> Requirements: <ul><li>Proven experience in digital planning, governance, or a related field.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Leadership and team management capabilities.</li><li>Experience managing digital projects and working with cross-functional teams.</li></ul>

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Responsibilities:Ensure Development Efforts related to integrations are tested (Primitive/Sanity tests)Ensure adequate Unit testing is conducted i.e. xUnit / nUnitEnsure codes are to meet quality standards i.e. Resharper, Sonarcube, solution meets passive criteria of user stories, solution meets passing criteria of user stories and that solution meets blueprintCollaborate with relevant stakeholders i.e. Architect and Business Analyst and Peers to ensure that a robust and elegant solution is of design standardsBuild web-based applications based on Microservices architecture in .Net core and C#Perform API debugging, logging and database query optimisationHave an eye for new technologies and be open to self-improving on existing methodsRequirements:Bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices with minimally 4 years in data engineeringProficient in SQL and NoSQLExperience in .NET technologies including .NET Core, Entity Framework, Web API, React, JavascriptExperience in building web-based applications based on microservices architecture in .Net Core and C#Experience in containerisation frameworks e.g. Docker, KubernetesUnderstanding of Microservice Architecture (MSA) and design patterns to build highly scalable modulesUnderstanding of authentication frameworks and data communication protocols like webSocketsUnderstanding of CI/CD environments or pipelinesProven ability to show work responsibility, excellent organisational, communication and interpersonal skillsProven analytical and problem-solving skills with the ability to work in an unstructured, fast-paced environmentAmbitious about learning and self-improvement particularly to acquire new technologiesPreferred Requirements:Experience in Mongo, Redis, RedisSearch, MsSQL

Responsibilities:Define digital strategy, as an element of the overall marketing strategy and plan, follow up on execution in marketsDeploy digital maturity roadmap, KPIs and dashboardDeploy digital 360 user journey, segmentation based on behavior signals, and implement user experience innovation to drive business goalsApplication governance (social, web, analytics, rating and review, capability, etc.)Participate in agency meetings. Ensure their deliverables are on-time, on-brief and within budget Synergize digital agencies in market, with particular focus on remuneration model and value for moneyIn charge of digital budget managementLead eCommerce marketing planning and joint business plan with strategic partnersLead paid media transformation, improve media process and capabilityLead CRM and omni-channel marketing with personalized experienceProvide guidance on commercial launch and always-on digital campaignsRequirements:Passionate about delivering simply outstanding digital consumer experiences.Extensive experience in digital marketing in social media, paid media, web user experience, digital campaign, consumer lifecycle management.Experience in working with ecommerce key players such as Lazada, Amazon, etc.Strong project management skills with the ability to lead multiple complex projects in a fast-paced, deadline-driven environment with multiple stakeholders.Ability to think in a creative and strategic way, but adept at delivering operationally.Excellent communication and interpersonal skills with the ability to influence stakeholders at all levels across regions and functions.Ability to learn fast and adapt well in unfamiliar situations.Strong analytical skills and data-driven thinking. Proven practical experience in applying digital testing/experimentation methodologies and optimization strategies.Qualification:University degree in Marketing/Digital Marketing or related area8+ year professional experience in digital marketing experienceFluent in English (oral & written)

Responsibilities:Professional responsibility for material development for vacuum components, usually carried out in collaboration with our suppliersConsulting and liaison function for the areas of product development, marketing, procurement, numerical simulation, production, and testing laboratoryMaintaining the network and partnerships with suppliers, customers, and research institutesIdentifying customer requirements with the support of marketing and developing the necessary product specificationsLeading technology projects in the fields of materials, coatings, and manufacturing technologiesConducting and documenting failure analysesSupporting production in optimizing production processesAssisting procurement in selecting and developing suppliersDocumenting know-how regarding the use and applications of our materials with our end customers (e.g., lithography, inspection systems, deposition or etching processes,vacuum technology)Requirements:Bachelor’s / Master’s / PhD degree in Materials Science & Engineering / Chemical Engineering / Chemistry / Physics5-10 years of experience.Completed studies in materials science, materials engineering, mechanical engineering with a focus on materials science, or comparable fields of study, ideally with in-depth knowledge of aluminium and steel and the associated coating systemsKnowledge of material production & surface treatment processes, such as aluminium alloys, stainless steels, casting, forging, anodization, passivation, electroplatingExperience with problem solving process (PSP), failure analysis (FA), design of experiments (DOE) & technical report writingStrong analytical and organizational skillsExcellent skills in project management, presentation, and documentationProficiency in EnglishWillingness to travel worldwide to suppliers and customers as needed (travel activity 10 - 20%)

Responsibilities:The Sr P&PM Analyst primary role is to handle along with the rest of the Planning Group the following tasks: Provides analytical findings & recommendations relating to P&PM tasks such as business plan preparation, performance tracking and measurement, and performance analysis and accountability reporting. Conducts special P&PM-related studies such as the development of performance initiatives and business cases, benchmarking, risk management, design and re-design of measurements, processes and workflows, and information system-related changes. Provides supervision, coordination and/or facilitation in the execution of regular and special tasks with other P&PM personnel, as well as mentorship on P&PM analytical practice. Performs other related staff and analytical duties, as assigned.Requirements:As the successful candidate you will hold a Bachelor’s degree in Business, Engineering, Accounting, Finance or related disciplines. You will have at least 12 years of relevant experience in Planning and Performance Management job roles. Work Experience – candidates from these sources would be the primary target:Accountants, planners, and auditors.Skills – candidate should have skills in a number of these areas:Solid knowledge and understanding of management accounting, finance, PowerPoint and Excel is required.Demonstrated capability and track record in the practice of planning & performance management and in the use of business intelligence tools are required.Possession of an advanced business degree (e.g., MBA) and/or relevant professional certification (e.g., CMA, CFA, CPA) is preferred.Excellent command of oral & written English. 

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.

Skills

Industry

Location

Jobtitle

132 analytical instrumentation Jobs found

Data Modeler

AI Lead

Product Specialist

Digital Planning & Governance Manager

Data Engineer Lead - Python and PySpark

Full Stack Developer

Digital Manager

Material Specialist

ASC - Sr. Planning & Performance Management Analyst

Food Scientist

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

132 analytical instrumentation Jobs found

Data Modeler

AI Lead

Product Specialist

Digital Planning & Governance Manager

Data Engineer Lead - Python and PySpark

Full Stack Developer

Digital Manager

Material Specialist

ASC - Sr. Planning & Performance Management Analyst

Food Scientist

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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