ASC - Data Scientist

ASC - Downstream Data Scientist

Machine Learning Scientist

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

System Administrator

Bioinformatics Scientist

Data Analyst (1 year contract)

Patent Engineer Product and Technology Intelligence

Lead Environmental Scientist

Responsibilities: Will be required to perform the following: <ul><li>Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.</li><li>Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.</li><li>Conduct advanced statistical analysis and predictive modeling to extract actionable insights.</li><li>Develop intuitive front-end interfaces to present complex data in an accessible manner.</li><li>Maintain and enhance back-end systems for optimal performance and scalability.</li><li>Mentor junior team members and contribute to knowledge sharing within the team.</li><li>Stay abreast of emerging trends in AI, machine learning, and software development.</li></ul> Requirements: <ul><li>The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.</li><li>Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:</li><li>At least 5 years of professional experience in data science and full-stack development.</li><li>Proficiency in Flask, Microsoft SQL Server, and front-end technologies.</li><li>Proven expertise in NLP, LLMs, and Generative AI.</li><li>Strong foundation in statistics, machine learning, and algorithm design.</li><li>Excellent problem-solving skills and ability to think algorithmically.</li><li>Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.</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> Data Scientist Qualifications / Skills: <ul><li>Advanced analytical knowledge of data</li><li>Conducting big data analysis</li><li>Data conditioning</li><li>Programming advanced computing</li><li>Developing algorithms</li><li>Developing software and data models</li><li>Executing predictive analytics</li></ul>

Role Description: <ul><li>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&nbsp;</li><li>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.</li></ul> Responsibilities:&nbsp; As a Machine Learning Scientist you will be responsible for: <ul><li>Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.</li><li>Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.</li><li>Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.</li><li>Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.</li></ul> Requirements: <ul><li>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.</li><li>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.</li><li>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.</li><li>Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.&nbsp;</li></ul>

Role Description: <ul><li>We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions &amp; Data Management Division of the Digital Finance Department.</li><li>Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning &amp; forecasting, performance management and the entire suite of digital solutions for the Finance Business line.</li><li>Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC).</li><li>The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.</li><li>The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization.</li><li>The analyst will also lead implementation initiatives where required in addition to managing post implementation support.</li></ul> Responsibilities: <ul><li>Pursue a robust value centric methodology to identify valuable opportunities enabled by AI/ML, Predictive/Prescriptive Analytics, Generative AI, Chatbots and other technologies</li><li>leverage best practices to recommend and advocate transformation of finance functions with AI&nbsp;</li><li>Conduct exploratory data analysis, leverage AI algorithms to derive value for finance functions, such as for forecasting, anomaly detection etc.&nbsp;</li><li>Ideate AI solutions, develop scope, design and facilitate implementation of digital solutions, and coordinate change management&nbsp;</li><li>Continuous upkeep and training of AI models to ensure integrity and traceability&nbsp;</li><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups.&nbsp;</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. </li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. </li><li>Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Overview<ul><li>We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions &amp; Data Management Division of the Digital Finance Department.</li></ul> <ul><li>Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning &amp; forecasting, performance management and the entire suite of digital solutions for the Finance Business line.&nbsp;Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC). The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.</li></ul> <ul><li>The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization. The analyst will also lead implementation initiatives where required in addition to managing post implementation support.</li></ul> Responsibilities<ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions</li></ul> Minimum Requirements<ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;&nbsp;</li></ul> <ul><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li></ul> <ul><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li></ul> <ul><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Responsibilities: <ul><li>Administration and further development of the entire Windows Active Directory infrastructure incl. support of approx. 150 Windows servers.</li><li>1st level support for problems with international PC users.</li><li>Administration of the Active Directory as well as GPO, PKI, DFS-R, NPS, WSUS and MS-SQL.</li><li>Responsible for patch and lifecycle management (updates/upgrades) and improving IT security on the Windows servers.</li><li>Process automation using PowerShell scripts, e.g. entry and exit process.</li><li>Responsible for the administration of Windows applications and the coordination of external service providers (HR software, warehouse software incl. Oracle database, CAD system)</li><li>Support with IT projects</li></ul> Requirements: <ul><li>Completed training as a computer scientist EFZ or equivalent training.</li><li>Several years of experience in the administration of Windows servers / networks</li><li>Experience with MS-SQL and/or Oracle databases desirable</li><li>High sense of responsibility and independent working style</li><li>Process- and solution-oriented thinking and acting</li><li>Good knowledge of German and English, French desirable</li><li>We are looking for resilient and team-oriented applicants who are willing to help us shape our future.</li></ul>

Responsibilities: <ul><li>Perform genome assembly, annotation, and identification of novel genes in newly sequenced species for cell characterisation, quality marker development &amp; traceability</li><li>Utilise -omics technologies such as genomics, proteomics, and transcriptomics to profile &amp; evaluate cells</li><li>Develop and implement bioinformatics pipelines for data processing and analysis and supporting machine learning algorithm development</li><li>Support cell line and cell culture media development with genotype and phenotype insights</li><li>Building genome-scale metabolic models (GEMs) for aquatic species to support culture media and product development</li><li>Explore bioinformatics/computational tools to support exploratory requests from the team</li></ul> Requirements: <ul><li>PhD in Bioinformatics, Genomics, Computational Biology, or a closely related field</li><li>2-5 years of experience in bioinformatics research</li><li>Proven experience in analyzing large biological datasets using R and Python</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Responsibilities: <ul><li>As a Patent engineer Product &amp; Technology Intelligence your focus will be to ensure the protection of company products and technologies.</li><li>You will oversee the growth and maintenance of the various RRP, Conventional and other patent portfolios with a specific focus on Manufacturing.</li></ul> Specific Responsibilities Include: <ul><li>Actively define and implement a product and technology protection strategy.</li><li>Catalyze the generation, identification and capturing of potential inventions, assess and value them, e.g. by scoring process, and recommend the protection mode.</li><li>Drive the timely preparation and filing of invention disclosures with IP Law to meet relevant development timelines.</li><li>Provide technical directions for the drafting and prosecution of patent applications to IP Law, ensuring accurate scope of the protection of the Smoke Free Products and other valuable inventions.</li><li>Seek opportunities for identifying and capturing new inventions to broaden the protection scope.</li><li>Ensure visibility and productive planning to overcome third party patent obstacles identified by IP Law, including coordinating and driving design-arounds and instructing technical teams on the path forward.</li><li>Regularly report out monthly highlights and quarterly updates, giving insight into the Protection Coverage of the internal IP Portfolio.</li></ul> Requirements: <ul><li>Master’s degree or PhD in relevant subject: a driven and energetic engineer or scientist in a field that has substantial relevancy for the company Reduced Risk Product portfolio with a minimum of 4 years of experience in the industry.</li><li>Demonstrable experience in engineering / science fields, Intellectual Property, Technology Management and Manufacturing Design, Creativity and Innovation Management in a multinational environment.</li><li>It’s considered as a plus to be qualified or partly qualified as national or EP attorney.</li><li>Ability to work in multi-functional and cross-cultural teams, know to deliver, to build bridges with various partners and know to communicate effectively.</li><li>Capability to deal with ambiguity, sound judgement and diplomacy when delivering sophisticated and multifaceted messages.</li><li>Fluency in English both verbal and in written form. Having knowledge of other languages is a plus.</li></ul>

Responsibilities : <ul><li>Planning, scheduling, and providing work direction to intra-departmental teams implementing and monitoring Company-wide environmental policies and compliance.</li><li>Formulating the basis for environmental studies in various fields by analyzing and evaluating relevant data.</li><li>Initiating detailed work studies and determining approaches, processes, or equipment for environmental inspections, monitoring, sampling, and measurements.</li><li>Consolidating all elements of environmental research and data analysis and ensuring proper coordination.</li><li>Developing professional and scientific methodology to identify and evaluate environmental or occupational hazards.</li><li>Advising Company, local government, and industry officials on the risks of managing hazards.</li><li>Evaluating the effectiveness of Environmental Awareness and Education courses.</li><li>Acting as an environmental consultant on reviewing the environmental impact of new installations or modifications.</li><li>Developing design standards, instructions, and procedures related to environmental hazard control.</li><li>Keeping up-to-date with Company, government, and industry processes, operations, and products relevant to environmental protection.</li></ul> Requirements : <ul><li>A bachelors degree in Ecology, Biology, Agricultural Science, Environmental Science, or Forest conservation and restoration from a recognized and approved program. </li><li>A masters degree in any major related to environmental studies is required.</li><li>A PhD degree in any major related to environmental studies is preferred.</li><li>Minimum 7 years of experience in the environmental field, either in academia or industry, knowledge focused on nature-based solutions (NBS).</li><li>Experience in environmental activities in the oil industry is preferred.</li><li>The candidate must have the ability to speak, write, and present reports or articles in English using scientifically correct terminology and terms acceptable at various intellectual levels.</li><li>You will be able to demonstrate extensive knowledge in your area of expertise.</li><li>A thorough understanding of environmental practices worldwide is also necessary.</li></ul>

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327 data scientist Jobs found

ASC - Data Scientist

ASC - Downstream Data Scientist

Machine Learning Scientist

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

System Administrator

Bioinformatics Scientist

Data Analyst (1 year contract)

Patent Engineer Product and Technology Intelligence

Lead Environmental Scientist

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Skills

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327 data scientist Jobs found

ASC - Data Scientist

ASC - Downstream Data Scientist

Machine Learning Scientist

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

System Administrator

Bioinformatics Scientist

Data Analyst (1 year contract)

Patent Engineer Product and Technology Intelligence

Lead Environmental Scientist

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

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TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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