Principal/Staff Data Scientist
Posted 10 days ago
Job Viewed
Job Description
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
As a Principal/Staff Data Scientist you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.
Responsibilities
- Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale.
- Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making
- Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team
- Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends
- Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams
- Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs
- Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives
- Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance
- Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions.
- Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions.
- Understand client needs and provide tailored, strategic solutions that align with business objectives
- Build strong relationships by clearly communicating technical concepts and managing expectations
- Actively participate in recruiting top technical talent for the team
- Collaborate with the sales team in presales activities, identifying client needs, providing technical expertise, and crafting data-driven solutions to meet business requirements
- Define and implement data strategies to support exploration, drilling, and production business goals
- Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems)
- Ensure data accuracy, consistency, and security while adhering to industry compliance standards
- Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization)
- Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting
- Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities
- Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data
- Implement real-time data analytics for drilling, well monitoring, and production enhancement
- Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation
- Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.
- Mentor junior data scientists and engineers, fostering a culture of innovation and excellence
- Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions
- Communicate technical findings to non-technical stakeholders through visualizations and reports
- Develop optimization models for energy efficiency, cost reduction, and supply chain logistics
- Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance
- Implement risk assessment models to improve safety and compliance standards
- Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis
- Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark)
- Hands-on experience with visualization tools like Power BI, Tableau, or D3.js
- Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton’s Decision Space.
- Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.
- 7+ years of experience in data science
- Demonstrated success in leading data-driven projects
- Deep knowledge of machine learning and statistical modelling
- Strong programming and data engineering skills.
- Excellent problem-solving and communication abilities
- Proven track record of innovation in multiple industries
rtbrr9EuNl #J-18808-Ljbffr
Principal/Staff Data Scientist
Posted 17 days ago
Job Viewed
Job Description
Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
As a Principal/Staff Data Scientist you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.
Responsibilities
- Lead the design and implementation of end-to-end data science projects, from definingbusiness problems to deploying advanced machine learning models at scale.
- Architect and build predictive models, statistical algorithms, and machine learning systems tosolve complex business challenges and enhance decision-making.
- Provide technical leadership and mentorship to junior data scientists, promoting best practicesand guiding technical development across the team.
- Innovate new methodologies in machine learning and AI, staying at the forefront of emergingtools, techniques, and industry trends.
- Lead cross-functional teams, ensuring alignment and seamless integration between datascience, engineering, and business teams.
- Implement robust data governance, validation, and quality assurance processes to ensure theintegrity and reliability of data science outputs.
- Partner with data engineering and IT teams to build scalable, automated data pipelines thatsupport data science initiatives.
- Present complex data insights and machine learning results to non-technical stakeholders,ensuring clarity and business relevance.
- Drive the design and execution of experiments, A/B tests, and statistical analyses to measureand optimize the impact of data-driven decisions.
- Ensure compliance with regulatory requirements, data security, and governance protocolswhen building scalable data science solutions.
- Understand client needs and provide tailored, strategic solutions that align with businessobjectives.
- Build strong relationships by clearly communicating technical concepts and managingexpectations.
- Actively participate in recruiting top technical talent for the team.
- Collaborate with the sales team in presales activities, identifying client needs, providingtechnical expertise, and crafting data-driven solutions to meet business requirements.
- Define and implement data strategies to support exploration, drilling, and production business goals.
- Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems).
- Ensure data accuracy, consistency, and security while adhering to industry compliance standards.
- Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization).
- Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting.
- Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs.
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities.
- Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data.
- Implement real-time data analytics for drilling, well monitoring, and production enhancement.
- Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation.
- Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.
- Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.
- Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions.
- Communicate technical findings to non-technical stakeholders through visualizations and reports.
- Develop optimization models for energy efficiency, cost reduction, and supply chain logistics.
- Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance.
- Implement risk assessment models to improve safety and compliance standards.
- Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis.
- Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).
- Hands-on experience with visualization tools like Power BI, Tableau, or D3.js.
- Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton’s Decision Space.
Requirements
- Advanced degree (master's or PhD) in Data Science,Computer Science, or a related field.
- 7+ years of experience in data science.
- Demonstrated success in leading data-driven projects.
- Deep knowledge of machine learning and statistical modelling
- Strong programming and data engineering skills.
- Excellent problem-solving and communication abilities.
- Proven track record of innovation in multiple industries
Principal/Staff Data Scientist
Posted 10 days ago
Job Viewed
Job Description
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
As a Principal/Staff Data Scientist you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.
Responsibilities
Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale. Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions. Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions. Understand client needs and provide tailored, strategic solutions that align with business objectives Build strong relationships by clearly communicating technical concepts and managing expectations Actively participate in recruiting top technical talent for the team Collaborate with the sales team in presales activities, identifying client needs, providing technical expertise, and crafting data-driven solutions to meet business requirements Define and implement data strategies to support exploration, drilling, and production business goals Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems) Ensure data accuracy, consistency, and security while adhering to industry compliance standards Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization) Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data Implement real-time data analytics for drilling, well monitoring, and production enhancement Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation Drive automation of repetitive tasks using advanced scripting and machine learning pipelines. Mentor junior data scientists and engineers, fostering a culture of innovation and excellence Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions Communicate technical findings to non-technical stakeholders through visualizations and reports Develop optimization models for energy efficiency, cost reduction, and supply chain logistics Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance Implement risk assessment models to improve safety and compliance standards Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark) Hands-on experience with visualization tools like Power BI, Tableau, or D3.js Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton’s Decision Space.
Requirements
Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field. 7+ years of experience in data science Demonstrated success in leading data-driven projects Deep knowledge of machine learning and statistical modelling Strong programming and data engineering skills. Excellent problem-solving and communication abilities Proven track record of innovation in multiple industries
Powered by JazzHR
rtbrr9EuNl #J-18808-Ljbffr
Principal/Staff Data Scientist
Posted 18 days ago
Job Viewed
Job Description
#J-18808-Ljbffr
Staff Nurse ( Riyadh - Saudi Arabia )
Posted 3 days ago
Job Viewed
Job Description
- Provide direct patient care, including assessment, evaluation, and treatment planning.
- Administer medications and treatments as prescribed by the physician.
- Monitor and document patient vital signs and health status.
- Work collaboratively with physicians and other healthcare professionals to develop and implement care plans.
- Educate patients and their families on disease prevention, health maintenance, and self-care.
- Maintain accurate and complete patient records.
- Follow infection control policies and procedures to maintain a safe and clean environment.
- Participate in interdisciplinary team meetings to discuss patient care and treatment plans.
- Adhere to nursing standards of practice and code of ethics.
Bachelor's or Associate's Degree in Nursing
Minimum of 2 years of nursing experience.
Knowledge of nursing theories, practices, and procedures.
*Location Islamabad ( can be relocated abroad KSA)
Staffing and Recruiting - Rawalpindi, Pakistan
#J-18808-LjbffrStaff Software Consultant (Angular + GraphQL)
Posted 24 days ago
Job Viewed
Job Description
Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
We are looking for a Senior Frontend Developer with expertise in modern Angular frameworks and frontend technologies. The ideal candidate should have hands-on experience with the latest Angular versions, GraphQL, modifying HTML/CSS, JavaScript, and Unit Testing. Knowledge of responsive design, cross-browser compatibility, and frontend best practices for writing lightweight, maintainable code is a plus.
Responsibilities
Own the architecture, design, and technical direction for large-scale projects, ensuring that solutions are scalable, secure, and aligned with business goals.
Lead technical reviews and ensure that high-quality standards, including company engineering practices (CI/CD, testing, security), are met across projects.
Collaborate with cross-functional teams and business stakeholders to align technology with business needs and influence technical decisions.
Actively mentor and guide engineers at all levels, promoting a culture of technical excellence and knowledge sharing.
Help in the recruitment process by identifying and interviewing technical talent, ensuring
alignment with the company's standards and culture.
Embrace a consulting mindset by identifying opportunities to improve business processes through innovative technical solutions, and act as a trusted advisor to clients and stakeholders.
Communicate technical solutions effectively to both technical and non-technical stakeholders.
Acts as a point of contact for technical issues for specific work streams across multiple projects.
Engage in continuous learning of industry trends, tools, and technologies to provide informed recommendations to clients.
Requirements
Bachelor's degree in computer science, Information Technology, or a related field.
5+ years of experience in frontend development with a focus on Angular (latest versions) – Strong hands-on experience in developing, maintaining and optimizing Angular-based applications.
GraphQL – Ability to integrate GraphQL APIs efficiently and handle data queries efficiently within frontend applications
HTML5, CSS3, and JavaScript (ES6+) – Proficiency in creating and modifying responsive UI components with attention to clean and maintainable code.
Unit Testing – Experience with testing frameworks like Jasmine, Karma, Jest, or similar.
Responsive Design – Strong understanding of media queries, Flexbox, CSS Grid, and mobile-first design principles.
Cross-Browser Compatibility – Ensuring consistent application performance and functionality across different browsers.
Frontend Best Practices – Writing lightweight, maintainable, and scalable code.
Experience with state management tools like NgRx, Akita or other state management libraries is a plus.
Strong problem-solving and analytical skills.
Ability to work independently and as part of a team.
Effective communication and collaboration with cross-functional teams.
Staff Nurse ( Riyadh - Saudi Arabia )
Posted 3 days ago
Job Viewed
Job Description
Bachelor's or Associate's Degree in Nursing Minimum of 2 years of nursing experience. Knowledge of nursing theories, practices, and procedures. *Location Islamabad ( can be relocated abroad KSA) Staffing and Recruiting - Rawalpindi, Pakistan
#J-18808-Ljbffr
Be The First To Know
About the latest Staff Jobs in Islamabad !
Staff Software Consultant (Angular + GraphQL)
Posted 21 days ago
Job Viewed
Job Description
Lead technical reviews and ensure that high-quality standards, including company engineering practices (CI/CD, testing, security), are met across projects.
Collaborate with cross-functional teams and business stakeholders to align technology with business needs and influence technical decisions.
Actively mentor and guide engineers at all levels, promoting a culture of technical excellence and knowledge sharing.
Help in the recruitment process by identifying and interviewing technical talent, ensuring
alignment with the company's standards and culture.
Embrace a consulting mindset by identifying opportunities to improve business processes through innovative technical solutions, and act as a trusted advisor to clients and stakeholders.
Communicate technical solutions effectively to both technical and non-technical stakeholders.
Acts as a point of contact for technical issues for specific work streams across multiple projects.
Engage in continuous learning of industry trends, tools, and technologies to provide informed recommendations to clients.
Requirements Bachelor's degree in computer science, Information Technology, or a related field.
5+ years of experience in frontend development with a focus on Angular (latest versions) – Strong hands-on experience in developing, maintaining and optimizing Angular-based applications.
GraphQL – Ability to integrate GraphQL APIs efficiently and handle data queries efficiently within frontend applications
HTML5, CSS3, and JavaScript (ES6+) – Proficiency in creating and modifying responsive UI components with attention to clean and maintainable code.
Unit Testing – Experience with testing frameworks like Jasmine, Karma, Jest, or similar.
Responsive Design – Strong understanding of media queries, Flexbox, CSS Grid, and mobile-first design principles.
Cross-Browser Compatibility – Ensuring consistent application performance and functionality across different browsers.
Frontend Best Practices – Writing lightweight, maintainable, and scalable code.
Experience with state management tools like NgRx, Akita or other state management libraries is a plus.
Strong problem-solving and analytical skills.
Ability to work independently and as part of a team.
Effective communication and collaboration with cross-functional teams.
#J-18808-Ljbffr
Senior Directing Staff (SDS) / Directing Staff (DS) - Peace Keeping Training (PKT) (Islamabad) [...]
Posted 14 days ago
Job Viewed
Job Description
Senior Directing Staff (SDS) / Directing Staff (DS) - Peace Keeping Training (PKT) (Islamabad)
Last Date: Wednesday, August 6, 2025
Job Ref #: Job/5701/07/24/2025
Age Limit: 40 - 65
Experience:
Posted Date: Thursday, July 24, 2025
Salary: Market Competitive
Job Description:
Qualification / Experience:
- Minimum 01-year experience of UN Peacekeeping Mission. Senior staff position at UN Mission/UN HQ.
- UN experience is Mandatory.
- Instructional experience (Class ‘A’ & ‘B’) at any Training Institution of the Pakistan Army.
- Faculty member at C&SC/NDU (Desirable)
Terms & Conditions:
- Candidates are required to attach scanned copies of their documents (Academics / Professional) along with their CVs.
- Last education certificate/degree must be attested/verified by HEC.
- Candidates may be considered ineligible for the post due to any of the following reasons:
- 3rd Div in academic career / weak academic profile.
- NUST employees with less than two years’ service with NUST and / or absence of NOC from Head of Institution.
- In process of pursuing a required degree.
- Medically unfit.
Only selected candidates will be contacted and issued offer letter.
- Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations. Late / incomplete applications will be ignored. Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.
- NUST reserves the right to cancel, modify / terminate the recruitment program due to any reason, without notice, at any time.
National University of Sciences and Technology
H-12, Islamabad, Pakistan