Data Scientist

Downstream Data Scientist

Senior Data Scientist

Senior Scientist - Microbiology

Manager Data Analytics

Analytical Scientist II

Vice President, Regional Data Modeler, Group Compliance

ICT Supporter

Petroleum Scientist

Data Analyst (1 year contract)

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>

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>

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>

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: 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>

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: 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>

Role Description: <ul><li>Our partner offers a multitude of compelling reasons to consider joining their team. Our partner is a renowned company known for its innovation and excellence in the field of building automation and control systems.</li><li>With a rich history spanning several decades and has established itself as a global leader, continuously pushing boundaries to shape the future of intelligent buildings.</li><li>Our partner is a global leader in building automation and control systems.</li><li>With a history of innovation and excellence, offering cutting-edge technologies, fosters a collaborative work environment, and provides opportunities for professional growth.</li><li>We are currently looking for an experienced ICT Supporter to join our team in Basel.</li><li>We offer you a varied field of activity with the following tasks.</li></ul> Responsibilities: <ul><li>Ensuring ICT support (1st and 2nd level) for our national and international PC users in all matters relating to standard software, IT tools and IT processes.</li><li>Analysis of incoming faults and development of solution proposals.</li><li>Optimisation of procedures and processes.</li><li>Ordering and management of IT hardware.</li><li>Administration of Microsoft AD.</li><li>Creation and updating of documentation and instructions.</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 ICT support</li><li>Very good knowledge of the Microsoft programs Windows and Office as well as in the network area</li><li>Knowledge of Microsoft AD</li><li>Experience with software packaging and Linux is an advantage</li><li>High customer and service orientation, combined with a professional appearance and good communication skills</li><li>Process- and solution-oriented thinking and acting</li><li>Good knowledge of German and French, English an advantage</li></ul> We are looking for resilient and team-oriented applicants who are ready to join us in shaping the future.

Responsibilities:&nbsp; <ul><li>Engage in multi-disciplinary teams to identify well stimulation challenges and provide solutions to fill the technology gaps.&nbsp;</li><li>Initiate technology development proposal</li><li>Design and draft different stimulation treatment under an integrated platform of fluid placement, well completion, reservoir geology and fluid selection</li><li>Development and prototyping of new well stimulation technology in the context of well completion (MSF, plug &amp; perf, acid tunneling)&nbsp;</li><li>Design and run lab experiments to evaluate new stimulation/fracturing technologies.&nbsp;</li><li>Familiarity with core flooding, rheological measurements and advanced material characterization&nbsp;</li><li>Perform business case analysis for the need to develop new products.&nbsp;</li><li>Expertise in modelling different stimulation processes using finite element/finite difference analysis is a plus.&nbsp;</li><li>Analyze large datasets, preferably using ML codes to develop predictive models.&nbsp;</li><li>Install and trial test new technologies in the field. Implement full-scale deployment of high-impact technologies</li><li>Write and publish technical papers and patent applications</li><li>Prepare and present technical talks to highly technical audience</li></ul>&nbsp;Requirements: <ul><li>Hold a master degree in Chemistry, Petroleum Engineering, Chemical engineering or related discipline.&nbsp;</li><li>PhD degree is a plus</li><li>Have A minimum of 5-10 years of related experience with demonstrated skills design and R&amp;D of well stimulation/fracturing and stimulation tools development or scale mitigation/water treatment</li><li>Have an intensive knowledge on different type of well stimulations from planning, designing and execution point of view.&nbsp;</li><li>Expertise of the different fluid systems/stimulation completions</li><li>Skills in evaluating well performance pre – and post stimulation</li><li>Expertise in simulating acid fracturing, proppant fracturing and matrix acidizing to optimize the design</li><li>The candidate should be an independent thinker to apply knowledge gained from industry and academia to generate practical solutions in upstream oil and gas production</li><li>Have history of technical publications and patents</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>

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305 data scientist Jobs found

Data Scientist

Downstream Data Scientist

Senior Data Scientist

Senior Scientist - Microbiology

Manager Data Analytics

Analytical Scientist II

Vice President, Regional Data Modeler, Group Compliance

ICT Supporter

Petroleum Scientist

Data Analyst (1 year contract)

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Skills

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305 data scientist Jobs found

Data Scientist

Downstream Data Scientist

Senior Data Scientist

Senior Scientist - Microbiology

Manager Data Analytics

Analytical Scientist II

Vice President, Regional Data Modeler, Group Compliance

ICT Supporter

Petroleum Scientist

Data Analyst (1 year contract)

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

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