senior materials scientist

Scouto AI

<div>
 Position Summary
 <br/>
 <br/>
 As a Computational Materials Discovery Scientist, you will work at the intersection of materials science, computational chemistry, condensed matter physics, quantum computing, and AI/ML. You will contribute to first-principles simulations, molecular and mesoscale modeling, materials informatics pipelines, and hybrid quantum&ndash;classical algorithms for accelerated discovery of materials, catalysts, semiconductors, polymers, and functional systems.
 <br/>
 <br/>
 This role is ideal for candidates who want to solve real scientific and industrial problems using DFT, MD, multiscale modeling, machine learning, and emerging quantum computing techniques, fully integrated with QpiAI&rsquo;s AI and quantum computing platforms.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Core Technical Skills
 <br/>
 <br/>
 <ul>
  <li>
   Computational &amp; Quantum Mechanical Methods
   <br/>
   <br/>
  </li>
 </ul>
 Electronic Structure &amp; Quantum Methods
 <br/>
 <br/>
 <ul>
  <li>
   Density Functional Theory (DFT)
  </li>
  <li>
   Ab initio Molecular Dynamics (AIMD)
  </li>
  <li>
   Time-dependent DFT (TDDFT) for excited states
  </li>
  <li>
   DFT+U for strongly correlated systems
  </li>
  <li>
   Hybrid functionals
  </li>
  <li>
   Hartree&ndash;Fock and post-HF methods (MP2, CCSD(T))
   <br/>
   <br/>
  </li>
 </ul>
 Molecular &amp; Statistical Simulations
 <br/>
 <br/>
 <ul>
  <li>
   Classical Molecular Dynamics (MD)
  </li>
  <li>
   Force-field development and validation
  </li>
  <li>
   Monte Carlo (MC) simulations
  </li>
  <li>
   Kinetic Monte Carlo (kMC) for surface reactions
  </li>
  <li>
   Machine Learning Force Fields ( Fairchem, Universal Forcefield, MACE)
   <br/>
   <br/>
  </li>
 </ul>
 Multiscale &amp; Mesoscale Modeling
 <br/>
 <br/>
 <ul>
  <li>
   Hierarchical nano &rarr; micro &rarr; meso &rarr; macro modeling
  </li>
  <li>
   QM&ndash;MM and QM&ndash;continuum coupling
  </li>
  <li>
   Microkinetic modeling and reaction networks
  </li>
  <li>
   Phase-field modeling
  </li>
  <li>
   Free energy methods (umbrella sampling, metadynamics)
  </li>
  <li>
   Materials Simulation &amp; Electronic Structure Modeling
  </li>
  <li>
   Bulk and surface DFT calculations
  </li>
  <li>
   k-point convergence, basis set testing
  </li>
  <li>
   Band structure, DOS, PDOS
  </li>
  <li>
   Phonons and lattice dynamics
  </li>
  <li>
   Elastic constants, thermal &amp; mechanical properties
  </li>
  <li>
   Defect formation energies
  </li>
  <li>
   Phase stability &amp; convex hulls
  </li>
  <li>
   Slab models and adsorption energies
  </li>
  <li>
   Reaction pathways using NEB / CI-NEB
   <br/>
   <br/>
  </li>
 </ul>
 Benchmarking &amp; Validation
 <br/>
 <br/>
 <li>
  Cross-code benchmarking across:
 </li>
 <ul>
  <li>
   DFT engines: VASP, Quantum ESPRESSO, CP2K, GPAW, CASTEP, Gaussian, ORCA
  </li>
  <li>
   MD engines: LAMMPS, GROMACS, NAMD
  </li>
  <li>
   ML potential
  </li>
  <li>
   Materials Informatics &amp; AI/ML
  </li>
  <li>
   Build ML models for materials &amp; catalyst property prediction:
  </li>
  <ul>
   <li>
    Fairchem, Universal Forcefield, CGCNN, MEGNet, SchNet, e3nn, NequIP
   </li>
   <li>
    Transformer &amp; foundation models for materials
   </li>
  </ul>
  <li>
   Curate datasets from:
  </li>
  <ul>
   <li>
    Materials Project, OQMD, NOMAD, JARVIS
   </li>
  </ul>
  <li>
   Develop ML surrogates for:
  </li>
  <ul>
   <li>
    Energy &amp; force prediction
   </li>
   <li>
    Bandgap estimation
   </li>
   <li>
    Thermal &amp; mechanical properties
   </li>
   <li>
    Catalyst screening &amp; ranking
   </li>
  </ul>
  <li>
   Integrate ML pipelines with:
  </li>
  <ul>
   <li>
    DFT / MD workflows
   </li>
   <li>
    Quantum simulation pipelines
   </li>
  </ul>
  <li>
   Simulation Workflow Engineering
  </li>
  <li>
   Build reproducible, automated workflows in Python for:
  </li>
  <ul>
   <li>
    High-throughput materials screening
   </li>
   <li>
    DFT&ndash;MD&ndash;CG-Mesoscale simulation pipelines
   </li>
   <li>
    Data extraction &amp; post-processing
   </li>
  </ul>
  <li>
   Develop modular tools for:
  </li>
  <ul>
   <li>
    Structure parsing (CIF, POSCAR, XYZ, PDB)
   </li>
   <li>
    Geometry builders &amp; surface generators
   </li>
   <li>
    Parameters generations
   </li>
   <li>
    Visualization (band structure, DOS, phonons, trajectories)
   </li>
  </ul>
  <li>
   Deploy workflows on:
  </li>
  <ul>
   <li>
    HPC clusters
   </li>
   <li>
    Cloud platforms (AWS, GCP)
   </li>
   <li>
    Containerized environments (Docker)
   </li>
  </ul>
  <li>
   Research, Collaboration &amp; Documentation
  </li>
  <li>
   Conduct literature reviews in:
  </li>
  <ul>
   <li>
    Computational materials
   </li>
   <li>
    Catalysis
   </li>
   <li>
    Semiconductors
   </li>
   <li>
    Alloy and Ceramics
   </li>
   <li>
    Polymers
   </li>
   <li>
    Quantum algorithms
   </li>
  </ul>
  <li>
   Design, execute, and analyze numerical experiments
  </li>
  <li>
   Prepare:
  </li>
  <ul>
   <li>
    Technical reports
   </li>
   <li>
    Internal whitepapers
   </li>
   <li>
    Presentations and datasets
   </li>
  </ul>
  <li>
   Collaborate closely with:
  </li>
  <ul>
   <li>
    Quantum hardware teams
   </li>
   <li>
    Algorithm developers
   </li>
   <li>
    AI/ML engineers
    <br/>
   </li>
  </ul>
 </ul>
 Specialization Tracks
 <br/>
 <br/>
 <ul>
  <li>
   DFT &amp; Electronic Structure Specialization
  </li>
  <li>
   Advanced XC functional selection &amp; benchmarking
  </li>
  <li>
   Strongly correlated systems (DFT+U, Hubbard models)
  </li>
  <li>
   Excited-state calculations (TDDFT, GW &ndash; exposure preferred)
  </li>
  <li>
   Defects, surfaces, and interfaces
  </li>
  <li>
   Electronic transport &amp; conductivity modeling
  </li>
  <li>
   Molecular Dynamics &amp; Classical Simulations
  </li>
  <li>
   Classical MD simulations (LAMMPS, GROMACS)
  </li>
  <li>
   Force-field parameterization &amp; validation
  </li>
  <li>
   Free energy calculations
  </li>
  <li>
   Reactive force fields (ReaxFF)
  </li>
  <li>
   ML-accelerated MD workflows
  </li>
  <li>
   Parameter generation for coarse-grained simulations
  </li>
  <li>
   Catalysis Specialization
  </li>
  <li>
   Heterogeneous, homogeneous &amp; electro-catalysis
  </li>
  <li>
   Reaction pathway identification
  </li>
  <li>
   Transition state searches (NEB, CI-NEB)
  </li>
  <li>
   Adsorption energies &amp; surface thermodynamics
  </li>
  <li>
   Microkinetic modeling
  </li>
  <li>
   Applications:
  </li>
  <ul>
   <li>
    OER, ORR, HER
   </li>
   <li>
    Photocatalysis
   </li>
   <li>
    Single-atom &amp; nanocluster catalysts
   </li>
  </ul>
  <li>
   Polymers &amp; Soft Matter Specialization
  </li>
  <li>
   DFT-based parameter extraction for polymers
  </li>
  <li>
   Multiscale polymer modeling (DFT, AA, CG)
  </li>
  <li>
   Dissipative Particle Dynamics (DPD)
  </li>
  <li>
   Monte Carlo Simulations
  </li>
  <li>
   Polymer blends, Polymer nanocomposites, surfactants, colloids
  </li>
  <li>
   Polymerization, degradation, crosslinking, morphology and aging studies
  </li>
  <li>
   Integration of DFT &rarr; MD &rarr; DPD&rarr;Phase field simulations pipelines
  </li>
  <li>
   Quantum Computing for Materials Simulation
  </li>
  <li>
   Map materials Hamiltonians to qubits:
  </li>
  <ul>
   <li>
    Jordan&ndash;Wigner, Bravyi&ndash;Kitaev, parity mappings
   </li>
  </ul>
  <li>
   Work on quantum algorithms including:
  </li>
  <ul>
   <li>
    VQE for correlated materials
   </li>
   <li>
    Subspace Quantum Diagonalization (SQD)
   </li>
   <li>
    qEOM for excited states
   </li>
   <li>
    Quantum Phase Estimation
   </li>
   <li>
    QITE / Quantum Monte Carlo
   </li>
  </ul>
  <li>
   Analyze:
  </li>
  <ul>
   <li>
    Qubit requirements
   </li>
   <li>
    Circuit depth
   </li>
   <li>
    Noise &amp; error budgets
   </li>
  </ul>
  <li>
   Design material-specific ans&auml;tze for NISQ devices and simulators
   <br/>
  </li>
 </ul>
 Software &amp; Programming Skills
 <br/>
 <br/>
 <ul>
  <li>
   DFT Codes: VASP, QE, CP2K, Gaussian, ORCA, CASTEP, ADF
  </li>
  <li>
   MD Codes: LAMMPS, GROMACS, NAMD, AMBER
  </li>
  <li>
   Visualization: VMD, VESTA, OVITO, Materials Studio, ASE
  </li>
  <li>
   Programming: Python (mandatory), Bash
  </li>
  <li>
   ML: PyTorch, TensorFlow, scikit-learn
  </li>
  <li>
   Infrastructure: HPC, MPI, Docker, Git, AWS / GCP
   <br/>
   <br/>
  </li>
 </ul>
 Soft Skills
 <br/>
 <br/>
 <ul>
  <li>
   Strong analytical and first-principles thinking
  </li>
  <li>
   Ability to design reproducible scientific workflows
  </li>
  <li>
   Clear scientific communication
  </li>
  <li>
   High ownership and curiosity-driven research mindset
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Educational Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD (or pursuing PhD for intern role) in:
  </li>
  <ul>
   <li>
    Chemistry
   </li>
   <li>
    Materials Science
   </li>
   <li>
    Chemical Engineering
   </li>
   <li>
    Physics
   </li>
   <li>
    Computational Science or related STEM field
   </li>
  </ul>
  <li>
   Strong foundation in:
  </li>
  <ul>
   <li>
    Physical chemistry
   </li>
   <li>
    Quantum mechanics
   </li>
   <li>
    Statistical mechanics &amp; thermodynamics
   </li>
  </ul>
  <li>
   Specialization in computational chemistry / materials modeling strongly preferred
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Publications or strong computational project portfolio
  </li>
  <li>
   Experience with HPC &amp; large-scale simulations
  </li>
  <li>
   Prior work in:
  </li>
  <ul>
   <li>
    Materials discovery
   </li>
   <li>
    Catalysis
   </li>
   <li>
    Semiconductor
   </li>
   <li>
    Polymer modeling
   </li>
   <li>
    ML-driven materials science
   </li>
  </ul>
  <li>
   Exposure to quantum algorithms or hybrid quantum&ndash;classical workflows
   <br/>
  </li>
 </ul>
 Skills: ml,dft,materials,simulations,modeling
</div>


Computational Materials Discovery Scientist

New York University Abu Dhabi

<div>
 The Khalil laboratory in the Center for Smart Engineering Materials, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work on the design and deployment of porous materials for water remediation applications.
 <br/>
 <br/>
 The successful applicant will work on the development and application of covalent organic frameworks (COFs) for water remediation. The successful candidate will join a young yet highly energetic team dedicated to leveraging chemistry, reaction engineering, and manufacturing principles to address pressing challenges in the water sector. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students. The appointed research assistant will conduct independent research on COF materials, focusing on their synthesis, characterization, and practical application. Key responsibilities include designing frameworks, experiments, and publishing high-quality research. The position provides a unique opportunity to work in a state-of-the-art facility and engage with a collaborative and diverse research community at NYUAD.
 <br/>
 <br/>
 Applicants must have a BSc in Chemistry, Materials Science, Chemical Engineering, or a related field. Excellent experimental and characterization skills relevant to the project are required. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Prof. Safiya Alhashmi at Safiya.alhashmi@nyu.edu.
 <br/>
 <br/>
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Junior Research Scientist in the Center for Smart Engineering Materials - Dr. Safiya Khalil

Knauf Middle East, Africa & South Asia

<div>
 <strong>
  Knauf stands for opportunity
 </strong>
 . We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within the Production team could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us.
 <br/>
 <br/>
 We are a global manufacturer of construction materials and within our Group, our
 <strong>
  41,500 team members
 </strong>
 in
 <strong>
  90 countries
 </strong>
 across
 <strong>
  300 sites
 </strong>
 provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment.
 <br/>
 <br/>
 Our global reach in 90 countries continues to grow and we are looking for passionate, ambitious people to help us achieve our goals. We are all led by the same core values and believe in the powerful potential of large companies to have a positive impact on the world.
 <strong>
  We are now looking for another team mate to join us in Suez Plant as Senior Production Chemist.
  <br/>
  <br/>
 </strong>
 <strong>
  Can you say &lsquo;yes&rsquo;?
  <br/>
  <br/>
 </strong>
 Do you treat your colleagues with respect?
 <br/>
 <br/>
 Do you always have the customer in mind?
 <br/>
 <br/>
 Do you act with future generations in mind?
 <br/>
 <br/>
 Do you like to seek out opportunities to grow and develop?
 <br/>
 <br/>
 Do you have a proven track record of delivering results?
 <br/>
 <br/>
 The Senior Production Chemist will carry out basic maintenance of the equipment once trained, with continuous quality checks and monitoring. Communication is essential and you are expected to start and end with a clear accurate shift handover to ensure everyone is aware of any problems being encountered.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Follow company health and safety procedures to ensure the safety of yourself and others.
  </li>
  <li>
   Following training and when competent to do so you are expected operate all machinery in a safe manner including, Bagging, Mixer, Stacker, Calcination and the Laminator when necessary
  </li>
  <li>
   Submitting a daily report to the production manager / assistant production manager about: production / perishing / causes of waste / periods of production stoppage and their causes / number of shift members and whether there are any changes or vacations between the operators.
  </li>
  <li>
   Always to put safety first and when you are unsure you are expected to seek to understand first
  </li>
  <li>
   Maintaining the cleanliness of the production line and monitoring the performance of production machines and their maintenance work.
  </li>
  <li>
   Investigated causes of failures and standardization new procedures and improving processes for problem solving to produce high quality product and maximize output
  </li>
  <li>
   Always comply with all quality systems to the best product possible
  </li>
  <li>
   operate clean-as-you-go standards in line with the 5S methodology, &lsquo;A place for everything &amp; everything in its place&rsquo; to ensure overall efficiency in the workplace
  </li>
  <li>
   Conduct regular checks to ensure the integrity of the board as and when directed
  </li>
  <li>
   Working on implementing the production plan submitted by the production manager.
  </li>
  <li>
   Ensuring the accuracy of the monthly / weekly inventory of raw materials before submitting it to the Production Manager / Assistant Production Manager.
  </li>
  <li>
   Conducting a periodic evaluation of the operators &rsquo;performance and submitting it to the Production Manager / Assistant Production Manager.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;d Love For You To Have
  <br/>
  <br/>
 </strong>
 We are interested in you as a person: your attitude, behaviors and values. As long as you have the willingness to learn anything you need for the role that you don't already have, we'd love to speak to you. If you have experience in the following areas &ndash; this is an added advantage:
 <br/>
 <br/>
 <ul>
  <li>
   Min.2 years&rsquo; experience at same position including an insight understanding of the production process, familiar with the HMI interphase
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We&rsquo;ll Provide
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary
  </li>
  <li>
   Benefits
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What happens next?
  <br/>
  <br/>
 </strong>
 We appreciate that your time is precious and applying for a new job can be a lengthy process - so we have committed to replying to your application within 30 working days.
 <br/>
 <br/>
 Founded in 1932, Knauf is one of the world&rsquo;s leading manufacturers of construction materials for interior design, building insulation, and design ceilings.
 <br/>
 <br/>
 Knauf entered the Middle East, Africa, and South Asia (MEASA) in 1997. Today, we are a leading player across the region, with operations spanning 15 countries and 19 state-of-the-art production facilities, driven forward by 2,000 high-performing professionals.
 <br/>
 <br/>
 Headquartered in Dubai, United Arab Emirates, MEASA's reach extends across Algeria, Cyprus, Egypt, the GCC, Ghana, Greece, India, Iraq, Kenya, Morocco, Nigeria, Tanzania, Tunisia, and Turkey.
 <br/>
 <br/>
 In MEASA, we offer the opportunity to be part of a global family of over 41,500 colleagues in 96 countries, who are dedicated to the same core values, and to a shared sense of purpose. We encourage all our people to shape their own career, with the freedom to stretch their skills and learn new ones.
 <br/>
 <br/>
 Driven by an unwavering commitment to quality, innovation and sustainability, we are building more than just exceptional gypsum-based solutions &mdash; we&rsquo;re shaping a future we can all be proud of.
</div>


Senior Production Chemist

Hire Rightt - Executive Search & HR Advisory

<div>
 <p>
  <strong>
   Job Title &ndash;
  </strong>
  Senior Production Chemist
 </p>
 <p>
  <strong>
   Location &ndash;
  </strong>
  Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <p>
  &bull; Conduct laboratory tests to monitor oil, water, and gas systems, ensuring process and product quality in the assigned production field
 </p>
 <p>
  &bull; Develop and execute laboratory procedures according to ASTM and API standards
 </p>
 <p>
  &bull; Operate and maintain laboratory equipment including Gas Chromatography, Ionic Chromatography, Karl Fischer meters, Coulter counter, Dionex, and Flow Injection Analyzer
 </p>
 <p>
  &bull; Monitor production chemical performance and support deployment to optimize flow assurance and asset integrity
 </p>
 <p>
  &bull; Support troubleshooting and provide technical recommendations to operations and engineering teams
 </p>
 <p>
  &bull; Analyze crude oil, produced water, and lube oil samples and certify quality for export operations
 </p>
 <p>
  &bull; Support corrosion monitoring, scaling analysis, and chemical QA/QC programs
 </p>
 <p>
  &bull; Maintain laboratory reagents, instruments, calibration, and records
 </p>
 <p>
  &bull; Assist operators with sampling and ensure sample integrity offshore
 </p>
 <p>
  &bull; Ensure all laboratory activities comply with HSE and safety procedures
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements
  </strong>
 </p>
 <p>
  &bull; Bachelor of Science in Chemistry from a recognized university
 </p>
 <p>
  &bull; 6 to 8 years of experience in the oil and gas industry as a laboratory or production chemist with an operator
 </p>
 <p>
  &bull; Strong analytical skills in oil, water, and gas systems, lube oil analysis, and corrosion monitoring
 </p>
 <p>
  &bull; Hands-on experience with Gas Chromatography, Ionic Chromatography, Karl Fischer meters, Coulter counter, Dionex, and Flow Injection Analyzer
 </p>
 <p>
  &bull; Knowledge of production chemicals and their deployment is an advantage
 </p>
 <p>
  &bull; Good written and spoken English with computer skills
 </p>
 <p>
  &bull; Willingness to work offshore on a 28 days on 28 days off rotation
 </p>
 <p>
  <br/>
 </p>
 <p>
  Send CVs to parth@Hirerightt.ca
 </p>
</div>


Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior Data Scientist - R01558827</b></h1>
<p></p><div><b>Senior Data Scientist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling &amp; Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication &amp; Articulation: Vocal &amp; Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Foundation: Data Scientist
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Need B1 resource for Senior Data Scientist with Experience: 6+ Below is JD: Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions. Build and optimize ML/DL models to power decision-making for agents. Collaborate with cross-functional teams to deliver AI-first digital experiences. Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more. Experience in Data Science / Machine Learning / AI. 4 plus years of Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Real-world experience with Agentic AI frameworks and orchestration tools. Strong understanding of cloud-based AI deployments (Azure/AWS/GCP). A growth mindset with curiosity for emerging AI technologies. Working experience with GitHub</li></ul></div><p></p>

Senior Data Scientist – R01558827

<div><h1 class="jobSectionHeader"><b>Senior Data Scientist - R01558826</b></h1>
<p></p><div><b>Senior Data Scientist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling &amp; Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication &amp; Articulation: Vocal &amp; Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Foundation: Data Scientist
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Need B1 resource for Senior Data Scientist with Experience: 6+ Below is JD: Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions. Build and optimize ML/DL models to power decision-making for agents. Collaborate with cross-functional teams to deliver AI-first digital experiences. Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more. Experience in Data Science / Machine Learning / AI. 4 plus years of Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Real-world experience with Agentic AI frameworks and orchestration tools. Strong understanding of cloud-based AI deployments (Azure/AWS/GCP). A growth mindset with curiosity for emerging AI technologies. Working experience with GitHub</li></ul></div><p></p>

Senior Data Scientist – R01558826

Aramco Overseas Company

<p></p><div><div><div><div><div><div><div><b>Job Req ID: </b>17279
</div></div></div></div><div><div><div><div><b>Description:
</b><div><b>Aramco energizes the world economy.</b></div>
<div>Aramco occupies a special position in the global energy industry. We are one of the world&rsquo;s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.</div>
<div>With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco&rsquo;s value to society.</div>
<div>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations&rsquo; spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom&rsquo;s vast hydrocarbon resources. This responsibility has driven us 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 we supply.</div>
<div>We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.</div>
<div><div><div><div><b>
Overview</b></div>
</div><div><div>
We are seeking Computational Research Expert with a strong background in Materials Discovery to join our Research &amp; Development Center (R&amp;DC).</div><br>
<div></div>
<div>
R&amp;DC conducts strategic research, development and demonstration programs in support of Aramco&rsquo;s drive for innovation.</div><br>
<div></div>
<div>
Your primary role is to accelerate the deployment of next-generation technologies by building scalable digital platforms powered by emerging computing paradigms. You will also enable transformative solutions that focus on addressing critical challenges in CO₂ reduction and sustainable energy systems.</div></div></div><div><div><div><b>
Key Responsibilities</b></div>
</div><div><div>
As the successful candidate you will be required to perform the following:</div>
<ul>
<li>Develop and lead execution of research projects that focus on developing novel technologies in the areas of materials discovery</li>
<li>Identify collaboration opportunities with leading institutes and organizations</li>
<li>Liaise with key stakeholders to ensure in-house technology options deployment.</li>
<li>Conduct outlook studies of emerging technologies in the field of accelerated material discovery.</li>
<li>Collaborate with cross-functional teams and provide technical guidance and mentorship.</li>
<li>Contribute to technical documentation, patents, and publications</li>
</ul></div></div><div><div><div><b>Minimum Requirements</b></div>
</div><div><ul><li>As a successful candidate you will hold a Bachelor degree in Science or Engineering. A PhD is also required.</li>
<li>You should have a minimum of 5 years of experience.</li>
<li>You will have a Proven track record of conducting advanced technical projects with an ability to connect basic science research with industrial applications.</li>
<li>You will have experience in Molecular dynamics, Density Functional Theory, Generative AI and High-performance computing.</li>
<li>It is also necessary to have proficiency in Python coding</li>
</ul></div></div><div><div><div><b>Work Location and Work Schedule
</b></div></div><div><div>Work location: Within Saudi Arabia &ndash; To be specified in Job offer</div>
<div>
Work schedule: Full Time - To be specified in Job offer</div></div></div><div></div><div><div><div><b><br>
Job Posting Duration</b></div>
</div><div><div>
Job posting start date: 12/18/2025</div>
<div>
Job posting end date: 12/31/2026</div></div></div></div><div><b>
Working environment
</b></div><div>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
</div><div>At Aramco, 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&rsquo;s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
</div><div>We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs &ndash; one of the largest in the world.</div><br>
<div></div>
</div></div></div></div><div><div><div><div><b>Country/Region: </b>SA</div></div></div></div></div></div></div><p></p>

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