Senior Scientist - Analytical R&D

Analytical Scientist II

Manager Data Analytics

Senior Scientist - Microbiology

Senior Data Scientist

Vice President, Regional Data Modeler, Group Compliance

Advanced Development PD Lead

Embedded Software Engineer

Business Development Consultant- LNG Sales & Marketing

Data Scientist

Responsibilities: <ul><li>Independently lead analytical method develop and validation activities for assigned ANDA products.</li><li>Develop and validate analytical methods for release and stability testing.</li><li>Review and evaluate drug substance supplier’s technical documents and provide recommendation in API vendor selection.</li><li>Identify specification requirements and set up specifications and specification justifications for raw materials and drug products.</li><li>Resolve complex problems in method or product development.</li><li>Develop and understand product stability to guide design of stability studies in support of product registration.</li><li>Generate technical documents to support regulatory submissions.</li><li>Provide timely analytical support on deficiency responses and product approval inspections.</li><li>Review laboratory notebooks, raw data and technical documentation in support of regulatory filings.</li><li>Interact with other depts: Formulations, Regulatory Affairs, Production, Strategic Sourcing, etc., to support timely new product development/submission of new ANDAs.</li></ul> Requirements: <ul><li>Peer review of lab notebooks.</li><li>Evaluate, troubleshoot/improve existing analytical methods when necessary.</li><li>Continuously update knowledge of latest technologies related to analytical science</li><li>Work in compliance with cGMP/cGLP regulations.</li><li>Strong knowledge of analytical chemistry and concepts in developing and validating methods to meet correct pharmaceutical standards.</li><li>Superior knowledge of major analytical techniques such as HPLC/UPLC, dissolution, FT-IR, physical characterization, etc.</li><li>Strong knowledge of FDA, ICH, and USP guidance and regulations.</li></ul>

Responsibilities: <ul><li>The Senior Scientist, Analytical R&amp;D will independently lead analytical method develop and validation activities for assigned projects, develop and validate analytical methods, review DMFs/Technical documents, identify specification requirements and set up specifications/specification justifications for raw materials and finished products, develop and understand product stability to guide design of stability studies in support of registration batches, generate technical documents to support regulatory submissions, provide timely analytical support on deficiency responses and product approval inspections.&nbsp;</li><li>Independently lead analytical method develop and validation activities for assigned ANDA products.</li><li>Develop and validate analytical methods for release and stability testing.</li><li>Review and evaluate drug substance supplier’s technical documents and provide recommendation in API vendor selection.</li><li>Identify specification requirements and set up specifications and specification justifications for raw materials and drug products.</li><li>Resolve complex problems in method or product development.</li><li>Develop and understand product stability to guide design of stability studies in support of product registration.</li><li>Generate technical documents to support regulatory submissions.</li><li>Provide timely analytical support on deficiency responses and product approval inspections.</li><li>Review laboratory notebooks, raw data and technical documentation in support of regulatory filings.</li><li>Interact with other depts: Formulations, Regulatory Affairs, Production, Strategic Sourcing, etc., to support timely new product development/submission of new ANDAs.</li><li>Peer review of lab notebooks.</li><li>Evaluate, troubleshoot/improve existing analytical methods when necessary.</li><li>Continuously update knowledge of latest technologies related to analytical science.</li><li>Work in compliance with cGMP/cGLP regulations.</li></ul> Requirements: <ul><li>PhD in scientific discipline + min. 3 yrs. in pharmaceutical analytical chemistry or related field, with hands-on knowledge of current analytical techniques OR</li><li>MS + min. 5 yrs. OR BS with 7 yrs.</li><li>Strong knowledge of analytical chemistry and concepts in developing and validating methods to meet correct pharmaceutical standards.</li><li>Superior knowledge of major analytical techniques such as HPLC/UPLC, dissolution, FT-IR, physical characterization, etc.</li><li>Strong knowledge of FDA, ICH, and USP guidance and regulations.</li></ul>

Responsibilities: Net revenue management analytics: <ul><li>Working with Finance, Commercial, Portfolio and business unit heads to lead priority analytical projects to provide analytical support for NRM projects and revenue-related business activities.</li></ul> Take accountability for management and deployment of: <ul><li>Revenue / volume / pricing / share-of-market modeling and forecasting projects</li><li>ROI calculations and projections models</li><li>Portfolio analysis and portfolio rationalization projects</li><li>Python applications development, deployment and ongoing support</li></ul> Data quality &amp; integrity analytics: <ul><li>Working with internal and external stakeholders to lead data governance efforts to ensure understanding and defining the appropriate thresholds for data quality metrics, both technical and business.</li><li>Take accountability for management and deployment of:</li><li>Master data analytics &amp; management activities</li><li>Business data quality monitoring and addressing DQ issues</li><li>Data accuracy and coverage reports maintenance activities</li><li>Data flow analytics and data process improvement</li></ul> Requirements: <ul><li>University degree in quantitative fields: in STEM (Science, Technology, Engineering, Mathematics), Finance, Economics, Business or equivalent.</li><li>5+ years of hands-on experience as a Data Scientist, Data Analyst or Data Engineer.</li><li>Strong proficiency with SQL and Python. </li><li>Experience with data visualization in PowerBI.</li><li>Strong analytical and learning capability - ability to formulate and verify hypothesis regarding data.</li><li>Ability to take on projects with a sense of ownership and ambitious attitude.</li><li>Collaborative &amp; entrepreneurial results-driven mindset. </li><li>Capable of aligning top-down, cross-functional and market priorities, analyses and insights.</li><li>Learn quickly &amp; acquire skills for working in virtual teams (team members will be in different locations).</li><li>Be comfortable extracting insights from quantitative data, connecting the dots across multiple data sources and making business recommendations.</li><li>Strong Excel &amp; PowerPoint skills.</li><li>Fluency in English required.</li></ul>

Overview: <ul><li>As a Sr Scientist - Microbiology, you will lead microbiology science from product development to commercialization.</li><li>You will use scientific knowledge to assess and mitigate microbiological risks during the development of new substrates to ensure the delivery and quality of new materials, finished and semi-finished goods.</li><li>Moreover, you will work in collaboration with project teams, the designers, the assessment scientists, the quality departments, and the testing labs to:</li><li>promote innovation based on microbiology to develop new products</li><li>establish the microbial hazards analysis and define the critical control points</li><li>define the microbiological parameters for testing required during the lifecycle of new product launches</li><li>Apart from these, you will act as technical subject matter expert for microbiological characterization and testing of smoke-free products (SFP), identifying areas of improvement in the methods portfolio and developing new methods to upgrade these areas in collaboration with CROs and External Labs.</li></ul> Responsibilities: <ul><li>Lead the assessment of microbial hazards, coordinating related studies and subsequently defining microbiological testing inputs for the contamination control strategy and quality of SFP</li><li>Drive the microbiological characterization and testing of materials and, finished and semi-finished goods during the development, assessment, and manufacturing of SFP</li><li>Promote and assess new technologies based on microbiology science to develop new substrates</li><li>Identify and implement new methods and new technology for microbiological testing.&nbsp;</li><li>Establish, maintain, and update microbiology testing methods.&nbsp;</li><li>Issue reviews of analytical data and participate to surveillance of external labs.</li><li>Participate in the development and maintenance of internal standards for microbiology by assessing evolution of external regulatory environment in collaboration with Regulatory Standards department</li><li>Provide expertise, guidance and recommendations to Quality and Safety Surveillance departments for the management of product related special situations and during authority inspections of regulated products design and manufacturing</li></ul> Requirements:&nbsp;<ul><li>MSc in microbiology (food, ecology or other), preferably PhD</li><li>Min 10 years of experience in microbiology sciences applied in different fast-evolving, fast-to deliver, consumer centric and regulated consumer goods (e.g. food, beverages, cosmetics, health &amp; wellness) environments</li><li>Demonstrated expertise as SME in microbiological product characterization, ideally in an industrial setting, with hands-on experience in applying microbiology risk assessment, aseptic process design, contamination control and testing - from product design to commercialization</li><li>Sound knowledge and experience in microbiological testing and new technologies (e.g. RMM), preferably in a certified environment, e.g. ISO17025</li><li>Ability to lead projects and cross-functional teams in a Quality driven environment (QA, QC, QMS and processes), with successful development and adoption of internal standards / directives</li><li>Effective in communicating, presenting, training and influencing at all levels of the organization</li><li>Continuously improving product and process development, with tangible and impactful outputs</li><li>Extensive knowledge of the Tobacco industry and SFP and their development, testing and characterization is an asset</li><li>Proficient in English, both written and spoken</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.&nbsp;</li><li>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> 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.&nbsp;</li><li>Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages.&nbsp;</li><li>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>

Responsibilities: Responsible for building our client’s AFC analytical capabilities in response to external and internal requests; developing, maintaining, and upgrading in-house AFC analytical models when needed&nbsp; Support model maintenance: <ul><li>Liaise with Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models&nbsp;</li><li>Re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed&nbsp;</li></ul> New model development: <ul><li>Work closely with model end-users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline&nbsp;</li><li>Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders&nbsp;</li><li>Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.&nbsp;</li><li>Build a range of models (rule-based, supervised / unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed&nbsp;</li></ul> Special projects: <ul><li>Support special / high-priority projects, including building AFC analytical capabilities in response to external (e.g., regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities / models&nbsp;</li><li>Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC / AML&nbsp;</li><li>Communicate with Business Analyst to understand new regulatory requirements / policy updates relating to the areas / risks covered by the AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models&nbsp;</li></ul> Model governance: <ul><li>Support the Head of Modelling in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models&nbsp;</li><li>Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards&nbsp;</li></ul> Requirements: <ul><li>5 –10 years of experience working in the technology space and preferably 2 –4 years of data science / data analytics experience&nbsp;</li><li>1 –2 years of experience working with advanced analytical models/tools/applications (e.g., machine learning)&nbsp;</li><li>Prior experience working on large-scale analytics projects</li><li>Experience in or familiarity with analytics related to AML/AFC/compliance risks&nbsp;</li><li>Ability to clearly communicate technical results in an easy-to-understand mannerand tailoring them to different audiences&nbsp;</li><li>Ability to handle multiple priorities and work under pressure&nbsp;</li><li>Bachelor’s degree, or equivalent, in Computer Science, Engineering, Statistics, Mathematics, Business Analytics etc.</li></ul> Technical skills:&nbsp; <ul><li>R and Python for data science, with practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn)&nbsp;</li></ul> Other details: <ul><li>This is an Individual contributor role.</li><li>Candidate must have strong experience in Data Analytics – Big Data, Hadoop etc.</li><li>Would be responsible for developing and designing the model from scratch.&nbsp;</li><li>AML, AFC experience preferred, not a must have.</li><li>Other non-banking industries can be looked at provided strong technical background.&nbsp;</li></ul>

Responsibilities: <ul><li>Investigate, plan, and test new physical design methodologies to enable sub-threshold and near-threshold circuits and other related low power techniques (e.g., adaptive body biasing, customized standard cells, specialized memory structures, etc.).&nbsp;</li><li>Validate and refine new techniques as part of a team that is building complex test chips in advanced nodes (e.g., 12nm and beyond).</li><li>Work with product development teams (Engineering team and Architecture and Product Planning team) to rapidly deploy newly developed techniques in products.&nbsp;</li><li>Plan and lead physical design activities for test chips owned by the Advanced Development team. As part of this effort, lead a small group of internal and contract resources.</li><li>Maintain a relationship with and collaborate with 3rd party CAD tool vendors during the development of new methodologies.</li></ul>&nbsp;Requirements: <ul><li>10 years of experience serving as technical lead or manager for physical design in advanced SoCs.</li><li>A master’s degree in electrical engineering or a related field is required.&nbsp;</li><li>Experience serving as physical design lead in 16nm and beyond is required.</li><li>Experience building complex SoCs with a mix of processors, memories, and high-speed interfaces is required.</li><li>Experience running advanced timing flows (e.g., SOCV) and power-driven PD flows (e.g., multi-domain designs with a UPF/CPF flow) is required.</li><li>Experience developing new timing flows, custom standard cells, and power-driven PD flows is highly desirable.</li><li>Experience managing a small group of engineers is highly desirable.</li><li>Experience developing new technologies and transitioning those technologies to production is highly desirable.</li></ul>

Responsibilities: <ul><li>Duties include analyzing, designing, coding and code modification (typically in C/C++) of software designs of airborne embedded software implementations.</li><li>Participate in requirements management via DOORS, systems specifications, and interface management.&nbsp;&nbsp;</li><li>Manage software lifecycle data via DIMENSIONs configuration management tool.</li><li>Generate software requirements to integrate avionics sensors and equipment (i.e. engines, ARINC429, hydraulics, electrical systems, landing gear, RS-422, analog signals, discretes, CAN Bus, etc.)</li><li>Assist in the evaluation of software designs to identify design flaws.</li><li>Utilize a Windows and MOSA based software development environment.</li><li>Assist in the verification and validation testing of airborne embedded software using a desktop simulation environment, systems integration labs, surrogate platforms flight testing and aircraft flight testing.</li></ul> Requirements:&nbsp; <ul><li>Bachelor's Degree is required.</li><li>Major in in Computer Science, Electrical or Aerospace Engineering is preferred.&nbsp;</li><li>Applied Sciences (Physics) or Mechanical Engineering may be considered with applicable embedded software experience.</li></ul> Position Requirements:&nbsp; <ul><li>At least 5 years of relevant software experience, preferably in aerospace industry.</li><li>Ability to develop software in a RTOS environment.</li><li>Interest with ARINC653 software specification for space and time partitioning in safety-critical avionics real-time operating systems (RTOS)</li><li>Skilled in utilizing modern programming languages (e.g. C++, C#, Java, Python).</li><li>Skilled with embedded software development on Multicore processors.</li><li>Motivated person with strong problem-solving abilities, willingness to perform a wide variety of related tasks.</li><li>Effective communication skills (both verbal and written).</li><li>Interest in modern airborne sensors, avionics, mission systems, weapons systems, or electrical systems integration, development, and testing.</li><li>Familiarity with commercial certification and military qualification of aircraft systems is advantageous.</li><li>Experience with Eclipse based software is advantageous (most chip vendors and software vendors are moving to this IDE. TI-CodeComposer, NXP-CodeWarrior, DDC-I OpenArbor, etc.).</li><li>Linux/Unix experience (simple commands like ls (in windows dir), rm (del a file), md, cd, rd (make directory, change directory and remove directory) man – the builtin help documentation.</li><li>Software repositories – GiT , Tortoise GiT or some other tool that has been wrapped around GiT.</li><li>Experience with DO-178B/C software development lifecycle guidelines – Software Considerations in Airborne Systems and Equipment Certification (and the DO-178C supplements).</li><li>Interests with the integration of the Army’s Future Airborne Capability Environment (FACE) on vertical lift vehicles.</li></ul>

Responsibilities : <ul><li>Identifying potential buyers through personal client network, client network, or through Market Intelligence reports</li><li>Engaging with potential clients to assess potential appetite for LNG purchases</li><li>Shortlisting top-priority leads that are likely to convert to purchases</li><li>Responsible for originating, negotiating, finalizing, and managing LNG sales contracts. Lead team in:</li><li>Identifying potential buyers through personal client network, client network, or through Market Intelligence reports</li><li>Engaging with potential clients to assess potential appetite for LNG purchases</li><li>Shortlisting top-priority leads that are likely to convert to purchases</li><li>Assessing potential buyer’s counterparty risk, e.g. due diligence on operations, financials, management, history, capital structure, credit worthiness, governance, country risk, etc.</li><li>Negotiating terms of sales contracts, i.e. volumes, pricing, timeframe, flexibility clauses, etc.</li><li>Liaising with support departments to ensure sales contract is in compliance with local and global regulatory regimes, e.g. taxation, transport regulations, etc.</li><li>Liaising with Head of LNG Trading on near-final sales contract to ensure alignment on contract terms and implications on portfolio</li><li>Signing sales contracts and following up on administrative execution</li><li>Monitoring each sales contract’s profitability and analyzing deltas in profitability.</li><li>Monitoring overall portfolio risk, e.g. open positions per index, credit exposure, etc.</li><li>Defining required supply contracts to remain within acceptable range of exposure per index</li><li>Defining supply requirements to reach ambitions and maintain healthy supply-sales balance per index, i.e. needs for additional short-term/long-term supply</li><li>Aligning with Business Development on future long-term supply coming online and implications on overall portfolio</li><li>Identifying potential supply sources and reaching out to relevant counterparties</li><li>Assessing supply deals, i.e. volumes, durations, pricing, flexibility, counterparty risk, chartering and logistics, etc.</li><li>Negotiating terms of supply contracts (i.e. volumes, duration, pricing)</li><li>Liaising with support departments to ensure supply contract is in compliance with local and global regulatory regimes</li><li>Liaising with suppliers to schedule deliveries</li><li>Conducting renegotiation of contracts with current suppliers</li><li>Managing all sales contracts, i.e. short/long term supply contracts (from assets &amp; from 3rd parties) and sales contracts</li><li>Liaising with Strategy and Business Development to develop full understanding of long-term supply of LNG coming from assets</li><li>Developing full picture of current and future LNG sales and delivery obligations</li><li>If large imbalance between supply and sales, taking mitigating measures to course-correct, e.g. if short on supply then increased effort on securing short-medium term supply and vice versa</li></ul> Requirements: <ul><li>Candidate is required to hold a Bachelor’s degree in Finance, Economics, Accounting, or Business.&nbsp;</li><li>An MBA or other advanced Post-Graduate degree in Economics or a business-related degree is preferred.&nbsp;</li><li>Candidate is required to have history of career progression with at least fifteen years of related financial modeling work experience, preferably in an investment banking environment or a major petrochemical or energy industry corporation.</li><li>Candidate must have significant experience with Economic Evaluations, Cash Flow &amp; Variance Analysis, structured finance, project finance and/or financial modeling.</li><li>Experience in conducting Monte-Carlo stochastic risk analysis and VB excel modelling would be advantageous.</li><li>Candidate should be able to quickly establish credibility in the position and to effectively interact with all levels of management, including senior leadership.</li><li>Candidate should have demonstrable leadership and management experience.</li><li>Superior written and verbal communication and presentation skills is also necessary. In addition to strong command of English.&nbsp;Knowledge of Arabic a plus.</li><li>Strong ability to establish and maintain networks, both within and across company organizations is necessary.</li><li>Capability to work effectively within a matrix organization and with multi-disciplinary teams is also preferred</li></ul>

Role Description: <ul><li>Our client occupies a unique position in the global energy industry.</li><li>They are the worlds largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.&nbsp;</li><li>With their significant investment in technology and infrastructure, they strive to maximize the value of the energy they produce for the world along with a commitment to enhance our client value to society.</li><li>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, they combine market discipline with a generations’ spanning view of the future, born of their nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources.</li><li>This responsibility has driven our client to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that they supply.</li></ul> Responsibilities: The candidate will be required to perform the following: <ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>Mine and analyze data from company data sources to drive optimization and improvement of product development, and business strategies.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Use predictive modeling to increase and optimize production facilities, revenue generation, and other targeted outcomes.</li><li>Develop testing mechanisms and test model quality and validate hypothesis accordingly.</li><li>Coordinate with different functional teams to implement models and monitor outcomes.</li><li>Develop necessary documentation as per established standards.</li></ul> Requirements:&nbsp; <ul><li>A successful candidate will hold a Bachelor’s degree in in data science, computer science, applied mathematics or a related field from a recognized and approved program.</li><li>A Master’s degree is preferred.</li></ul> The candidate will have: <ul><li>At least 5 years of experience in building time series forecasting models.</li><li>A strong expertise in data collection, cleaning, preprocessing, and wrangling.&nbsp;</li><li>Strong fluency in either R or Python, preferably both, and familiarity with golang is a plus.&nbsp;</li><li>Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audience is a requirement.</li><li>Experience in time series forecasting models and in using technologies like LSTMs, Prophet, and time series analysis is a requirement.</li><li>Proficiency in using sklearn pandas, numpy, plotly, seaborn, and relevant R libraries if R is their preferred language is necessary.</li></ul> Working Environment:&nbsp; <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>At our client, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. 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>

Skills

Industry

Location

Jobtitle

306 senior scientist analytical rd Jobs found

Senior Scientist - Analytical R&D

Analytical Scientist II

Manager Data Analytics

Senior Scientist - Microbiology

Senior Data Scientist

Vice President, Regional Data Modeler, Group Compliance

Advanced Development PD Lead

Embedded Software Engineer

Business Development Consultant- LNG Sales & Marketing

Data 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

306 senior scientist analytical rd Jobs found

Senior Scientist - Analytical R&D

Analytical Scientist II

Manager Data Analytics

Senior Scientist - Microbiology

Senior Data Scientist

Vice President, Regional Data Modeler, Group Compliance

Advanced Development PD Lead

Embedded Software Engineer

Business Development Consultant- LNG Sales & Marketing

Data 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.