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expert data scientist

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description</h1>
Job Title: Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning) 
Project: Demand Planning ML Models Initiative 
Role Level: Expert / Principal (Hands-on, Delivery-Focused) 
Employment Type: Full-Time 
Experience: 7+ Years 
Job Location: Remote 
Job Timing: Vietnam Time Zone<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an Expert Data Scientist with deep hands-on experience in machine learning&ndash;based demand forecasting to support the ANZ Demand Planning ML Models initiative.
This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.<h1 class="jobSectionHeader"> 
Key Responsibilities</h1><h2 class="jobSectionHeader">
Demand Planning &amp; Forecasting (Core Focus)</h2><ul><li>
Lead the design, development, and optimization of ML-based demand forecasting models.</li><li>
Work extensively with time-series datasets related to sales, demand, and supply planning.</li><li>
Apply and optimize statistical forecasting techniques and machine learning algorithms.</li><li>
Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</li><li>
Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy.</li></ul><h2 class="jobSectionHeader"> 
Data Science Leadership &amp; Delivery</h2><ul><li>
Own the end-to-end data science lifecycle, from data exploration and model development to deployment support.</li><li>
Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE.</li><li>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</li><li>
Clearly communicate model logic, assumptions, and insights to business and executive stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Collaboration &amp; Execution</h2><ul><li>
Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models.</li><li>
Support production deployment, monitoring, and model performance improvements.</li><li>
Drive knowledge sharing and best practices in forecasting and machine learning across teams.</li></ul><h1 class="jobSectionHeader"> 
Required Experience</h1><ul><li>
7+ years of experience in Data Science / Machine Learning.</li><li>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning.</li><li>
Proven experience delivering production-grade or business-critical forecasting models.</li><li>
Strong experience working with enterprise-scale time-series datasets.</li></ul><h1 class="jobSectionHeader"> 
Technical Skills</h1><ul><li>
Advanced Python for Data Science and Machine Learning.</li><li>
Strong expertise in time-series forecasting techniques (statistical and ML-based).</li><li>
Experience with machine learning models such as regression, tree-based models, and ensemble methods.</li><li>
Advanced feature engineering for demand and planning datasets.</li><li>
Strong SQL and data manipulation capabilities.</li><li>
Experience with forecast evaluation metrics (MAPE, RMSE, MAE).</li></ul><h1 class="jobSectionHeader"> 
Soft Skills</h1><ul><li>
Strong ownership and accountability mindset.</li><li>
Excellent analytical and problem-solving capabilities.</li><li>
Ability to communicate complex technical concepts to non-technical stakeholders.</li><li>
Comfortable working in fast-paced environments with tight delivery timelines.</li></ul>
qqORkdRfmR</div>

Expert Data Scientist

Datamatics Technologies

<div>
 Job Description
 
 
 Job Title:
 
 Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
 
 
 Project:
 
 &nbsp;Demand Planning ML Models Initiative
 
 
 Role Level:
 
 Expert / Principal (Hands-on, Delivery-Focused)
 
 
 Employment Type:
 
 Full-Time
 
 
 Experience:
 
 &nbsp; 7+ Years
 
 
 Job Location:
 
 Remote
 
 
 Job Timing:
 
 Vietnam Time Zone
 
 Role Overview
 
 We are seeking an
 
 Expert Data Scientist
 
 with deep hands-on experience in
 
 machine learning&ndash;based demand forecasting
 
 to support the
 
 ANZ Demand Planning ML Models initiative
 
 .
 
 
 This role requires a senior practitioner capable of
 
 independently designing, developing, and delivering enterprise-grade demand forecasting models
 
 . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
 
 
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
 <li>
 
 Lead the
 
 design, development, and optimization of ML-based demand forecasting models
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 time-series datasets related to sales, demand, and supply planning
 
 .
 
 </li>
 <li>
 
 Apply and optimize
 
 statistical forecasting techniques and machine learning algorithms
 
 .
 
 </li>
 <li>
 
 Perform
 
 advanced feature engineering
 
 incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
 
 </li>
 <li>
 
 Conduct
 
 back-testing, validation, and scenario analysis
 
 to continuously improve forecast accuracy.
 
 
 </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
 <li>
 
 Own the
 
 end-to-end data science lifecycle
 
 , from data exploration and model development to deployment support.
 
 </li>
 <li>
 
 Define, monitor, and optimize forecasting KPIs including
 
 MAPE, RMSE, and MAE
 
 .
 
 </li>
 <li>
 
 Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
 
 </li>
 <li>
 
 Clearly communicate
 
 model logic, assumptions, and insights
 
 to business and executive stakeholders.
 
 
 </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
 <li>
 
 Collaborate closely with
 
 Data Engineers, Analytics teams, and business stakeholders
 
 to operationalize forecasting models.
 
 </li>
 <li>
 
 Support
 
 production deployment, monitoring, and model performance improvements
 
 .
 
 </li>
 <li>
 
 Drive
 
 knowledge sharing and best practices
 
 in forecasting and machine learning across teams.
 
 
 </li>
 </ul>
 Required Experience
 <ul>
 <li>
 
 
 7+ years
 
 of experience in
 
 Data Science / Machine Learning
 
 .
 
 </li>
 <li>
 
 
 5+ years of hands-on experience in demand forecasting or demand planning using machine learning
 
 .
 
 </li>
 <li>
 
 Proven experience delivering
 
 production-grade or business-critical forecasting models
 
 .
 
 </li>
 <li>
 
 Strong experience working with
 
 enterprise-scale time-series datasets
 
 .
 
 
 </li>
 </ul>
 Technical Skills
 <ul>
 <li>
 
 Advanced
 
 Python for Data Science and Machine Learning
 
 .
 
 </li>
 <li>
 
 Strong expertise in
 
 time-series forecasting techniques
 
 (statistical and ML-based).
 
 </li>
 <li>
 
 Experience with machine learning models such as
 
 regression, tree-based models, and ensemble methods
 
 .
 
 </li>
 <li>
 
 Advanced
 
 feature engineering for demand and planning datasets
 
 .
 
 </li>
 <li>
 
 Strong
 
 SQL and data manipulation
 
 capabilities.
 
 </li>
 <li>
 
 Experience with
 
 forecast evaluation metrics (MAPE, RMSE, MAE)
 
 .
 
 
 </li>
 </ul>
 Soft Skills
 <ul>
 <li>
 
 Strong
 
 ownership and accountability mindset
 
 .
 
 </li>
 <li>
 
 Excellent
 
 analytical and problem-solving capabilities
 
 .
 
 </li>
 <li>
 
 Ability to
 
 communicate complex technical concepts to non-technical stakeholders
 
 .
 
 </li>
 <li>
 
 Comfortable working in
 
 fast-paced environments with tight delivery timelines
 
 .
 
 </li>
 </ul>
</div>

Impact Business Technologies

Job SummaryWe are looking for a Data Scientist who can analyze large and diverse datasets to extract meaningful insights and build data-driven solutions. The role involves working on multiple business problems including, but not limited to, marketing data analysis, user behavior analysis, operational analytics, and predictive modeling.The ideal candidate is curious, analytical, and capable of translating data into actionable business insights.Key Responsibilities<ul><li>Analyze structured and unstructured data from multiple sources</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies</li><li>Build statistical and machine learning models for prediction, classification, and clustering</li><li>Clean, preprocess, and validate large datasets</li><li>Design and maintain dashboards and reports for business stakeholders</li><li>Work on marketing, product, operational, and business analytics use cases as required</li><li>Conduct A/B testing and experiment analysis</li><li>Collaborate with cross-functional teams to define data problems and deliver insights</li><li>Document models, assumptions, and findings clearly</li></ul>Required Skills &amp; QualificationsMust Have<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics or related field</li><li>Minimum 1 year of experience working as data scientist.</li><li>Strong proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn)</li><li>Good understanding of statistics and probability</li><li>Experience with SQL and relational databases</li><li>Familiarity with machine learning algorithms (regression, classification, clustering)</li><li>Ability to interpret data and communicate insights clearly</li><li>Experience with Power BI / Tableau / Looker</li><li>Exposure to NLP or time-series analysis</li><li>knowledge of cloud platforms (AWS / Azure / GCP)</li><li>Experience working with APIs and large-scale datasets</li><li>Familiarity with data pipelines and ETL concepts</li></ul>Tools &amp; Technologies<ul><li>Python, SQL</li><li>Jupyter Notebook</li><li>Power BI / Tableau</li><li>Excel / Google Sheets</li><li>Git (version control)</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Ability to explain complex concepts in simple terms</li><li>Ownership mindset and attention to detail</li><li>Willingness to learn and work across different problem domains</li></ul>Job Type: Full-timePay: Rs170,000.00 - Rs175,000.00 per monthWork Location: In person

AI Desk Data Analyst

Sofnix(SMC-Private) Limited

JOB SUMMARYAssociate Engineer Machine Learning will help in discovering the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.MAIN TASKS AND RESPONSIBILITIES&middot; Selecting features, building and optimizing classifiers using machine learning techniques&middot; Data mining or extracting usable data from valuable data sources.&middot; Carrying out preprocessing of structured and unstructured data&middot; Enhancing data collection procedures to include all relevant information for developing analytic systems&middot; Processing, cleansing, and validating the integrity of data to be used for analysis.&middot; Analyzing large amounts of information to find patterns and solutions.&middot; Developing prediction systems and machine learning algorithms&middot; Propose solutions and strategies to tackle business challenges.&middot; Data mining using state-of-the-art methods.&middot; Doing ad-hoc analysis and presenting results in a clear manner&middot; Creating automated anomaly detection systems and constant tracking of its performanceMINIMUM QUALIFICATIONS&middot; 2+ years of Python development experience&middot; 2+ years of SQL experience (No-SQL experience is a plus)&middot; Proven Experience as Data Analyst or Data Scientist&middot; Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods&middot; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.&middot; Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.&middot; Data Wrangling &ndash; proficiency in handling imperfections in data&middot; Excellent Communication Skills&middot; Strong Software Engineering Background&middot; Hands-on experience with data science tools&middot; Problem-solving aptitude&middot; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.&middot; Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc&middot; Degree in Computer Science, Data Science or relevant field is preferred.Work Location: In person

Engineer Machine

Jazz

<div>
 
 
 Grade: L3
 
 
 
 
 Location: Islamabad
 
 
 
 
 Last date to apply: 10th March 2026
 
 
 
 
 
 What is Expert Data Center Infra?
 
 
 
 
 Expert Data Center Infra
 
 role is reporting to Manager Data Center Infra. In this position, you will be playing a vital role for planning, designing, and expanding data center infrastructure to meet business growth, modernization, and operational excellence objectives.
 
 
 
 
 What does Expert Data Center Infra do?
 
 
 
 
 Capacity Planning &amp; Expansion
 
 
 <ul>
 <li>
 Lead data canter capacity expansion in alignment with business growth forecasts
 </li>
 <li>
 Develop scalable facility designs to support future IT load requirements
 </li>
 <li>
 Ensure optimal space, power, and cooling utilization
 </li>
 </ul>
 
 
 Modernization &amp; EOL Management
 
 
 <ul>
 <li>
 Identify and replace End-of-Life (EOL) facility equipment
 </li>
 <li>
 Drive modernization initiatives to enhance reliability, efficiency, and sustainability
 </li>
 <li>
 Upgrade power, cooling, and infrastructure systems to industry standards
 </li>
 </ul>
 
 
 Business Case Development
 
 
 <ul>
 <li>
 Prepare detailed technical and financial business cases for expansion and modernization projects
 </li>
 <li>
 Conduct cost-benefit analysis, ROI evaluation, and risk assessments
 </li>
 <li>
 Present proposals to executive leadership for approval
 </li>
 </ul>
 
 
 Stakeholder Collaboration
 
 
 <ul>
 <li>
 Collaborate with internal enterprise teams (IT, Network, Core, Finance)
 </li>
 <li>
 Engage external customers/end users to design customized data canter facility solutions
 </li>
 <li>
 Align facility design with application, AI, cloud, and hybrid infrastructure requirements
 </li>
 </ul>
 
 
 Design &amp; Engineering Leadership
 
 
 <ul>
 <li>
 Develop data canter facility design standards and best practices
 </li>
 <li>
 Ensure compliance with Rated/Tier standards, regulatory requirements, and safety norms
 </li>
 <li>
 Review and approve engineering drawings, layouts, and technical specifications
 </li>
 </ul>
 
 
 DCIM Implementation
 
 
 <ul>
 <li>
 Lead implementation and optimization of Data Canter Infrastructure Management (DCIM) tools
 </li>
 <li>
 Enable real-time monitoring of power, cooling, capacity, and environmental parameters
 </li>
 <li>
 Utilize analytics for predictive planning and reporting
 </li>
 </ul>
 
 
 Automation &amp; Process Optimization
 
 
 <ul>
 <li>
 Automate data centre operational and reporting processes
 </li>
 <li>
 Improve monitoring, capacity management, and incident response workflow
 </li>
 <li>
 Integrate smart infrastructure solutions to enhance efficiency
 </li>
 </ul>
 
 
 Operational Excellence Initiatives
 
 
 <ul>
 <li>
 Work closely with operations teams to drive reliability and uptime improvements
 </li>
 <li>
 Support energy efficiency programs (PUE optimization)
 </li>
 </ul>
 
 
 Risk &amp; Compliance Management
 
 
 <ul>
 <li>
 Ensure high availability, redundancy, and business continuity compliance
 </li>
 <li>
 Support audits, disaster recovery planning, and resilience testing
 
 </li>
 </ul>
 
 
 JazzWorld is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 
 
 Requirements
 
 
 
 
 
 What are we looking for and what does it require to be Expert Data Center Infra?
 
 
 <ul>
 <li>
 Bachelor's in (Electrical/Power/Telecom/Electronics or Relevant) from a reputable university
 </li>
 <li>
 6+ Year of Experience in Data centre Design
 </li>
 <li>
 Data Centre Design Certifications from Uptime/TIA-942
 </li>
 <li>
 Strong interpersonal and communication skills (written, verbal and presentation)
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Conflict Management
 </li>
 <li>
 Teamwork and collaboration
 </li>
 <li>
 Analytical skills
 </li>
 <li>
 Detail and result oriented, persistent, confident, adaptable and positive attitude
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why join JazzWorld?
 
 
 
 As a certified Top Employer, JazzWorld reflects workplace standards benchmarked against leading global organizations, demonstrating our commitment to creating an environment where people can thrive and perform at their best. Our teams are driven by the belief that every JazzWorld employee should be inspired to live better every day, enabled by forward-looking leadership, an open culture, meaningful work, and continuous opportunities to learn and grow.
 
 
 Our core values - Customer Obsession, Truthful, Innovation, Collaboration, and Entrepreneurial shape how we think, decide, and lead. They encourage us to challenge convention, act with accountability, work as one team, and create solutions that truly matter for our customers and communities.
 
 
 As Pakistan's largest digital operator, JazzWorld serves over 100 million through connectivity, digital services, financial inclusion, entertainment, and insurance. Joining us means being part of transformation at a national scale; expanding access, unlocking opportunity, and building a more connected digital future.
 
 
 At JazzWorld, everything we do is rooted in one shared ambition. This purpose defines how we work, the progress we enable, and the difference we strive to make every day a Better Life For All.
 
</div>

Expert Data Center Infra

Adam Smith International

<div>IMF Negotiation Expert - SEZs Phase-Out Implementation Plan
Background
The Revenue Mobilisation, Investment and Trade (REMIT) Programme, funded by the UK&rsquo;s Foreign, Commonwealth &amp; Development Office (FCDO) and implemented by Adam Smith International (ASI), provides technical assistance to the Government of Pakistan to improve the business environment, attract investment, and support sustainable economic growth.
Pakistan&rsquo;s Special Economic Zones (SEZs) regime is undergoing a fundamental policy transition under the Government of Pakistan&rsquo;s IMF-supported reform programme. The existing framework&mdash;anchored in profit-based fiscal incentives&mdash;has generated high fiscal costs while delivering limited gains in industrial relocation, exports, and competitiveness. As part of its IMF commitments, the Government has agreed to formulate and implement an SEZ Phase-Out Implementation Plan that progressively replaces profit-based incentives with cost- and performance-based mechanisms, while safeguarding contractual obligations and investor confidence.
Effective engagement with the International Monetary Fund (IMF) is central to this transition. The reform process requires sustained technical dialogue with IMF missions, alignment with structural benchmarks and prior actions, and the translation of IMF requirements into implementable policy, fiscal, legal, and institutional reforms. In this context, REMIT seeks to engage an IMF Negotiation Expert to provide specialised expertise in IMF engagement, negotiation support, and reform coordination. 
Job Summary
The objective of the assignment is to provide technical expertise to support the Government of Pakistan in engagements and negotiations with the International Monetary Fund (IMF) related to the SEZ Phase-Out Implementation Plan, with a focus on Phase A (Planning and Assessment) of the IMF-mandated reform programme.
The IMF Negotiation Expert will support the Board of Investment (BoI) and the Special Investment Facilitation Council (SIFC) by coordinating technical inputs for IMF discussions, advising on the interpretation and operationalisation of IMF structural benchmarks, and supporting the alignment of SEZ reform proposals with IMF programme requirements. The role will focus on bridging the policy&ndash;technical interface between IMF expectations and domestic reform design.
The Expert will work closely with the SEZ Policy &amp; Governance Lead, Fiscal &amp; Incentives Expert, Legal &amp; Contractual Expert, Senior Economist, and Data &amp; Financial Modelling Specialist to ensure that analytical outputs, reform sequencing, and implementation proposals are coherent, credible, and IMF-compliant. 
Duties and Responsibilities
The IMF Negotiation Expert will be responsible for providing specialised support for IMF-related engagements under the SEZ Phase-Out Implementation Plan. Key duties and responsibilities include:<ul><li>Support and participate in IMF technical missions, programme reviews, and consultations related to SEZ reform and incentive rationalisation.</li><li>Interpret IMF structural benchmarks, prior actions, and conditionalities relevant to SEZs and advise government counterparts on their implications for policy and implementation.</li><li>Coordinate the preparation of technical briefs, policy notes, and presentation materials for IMF discussions, drawing on inputs from fiscal, legal, economic, and data teams.</li><li>Advise on reform sequencing and transitional arrangements to ensure consistency with IMF programme timelines and approval processes.</li><li>Support the integration of IMF feedback into the SEZ Phase-Out Implementation Plan, ensuring that analytical and policy outputs reflect agreed positions.</li><li>Assist government counterparts in responding to IMF queries and data requests, including coordination of inputs across institutions.</li><li>Provide strategic advice on managing IMF engagement risks, including areas of potential divergence between policy objectives and IMF requirements.</li><li>Support internal coordination between BoI, SIFC, Ministry of Finance, and other relevant institutions to ensure a unified government position in IMF engagements.</li><li>Contribute to the preparation of IMF-facing sections of key deliverables, including the Concept Note, calibration analysis, and pilot design documentation.</li><li>Participate in stakeholder consultations and inter-ministerial meetings to align domestic reform proposals with IMF-approved frameworks.</li><li>Provide technical quality assurance for IMF-related outputs, ensuring accuracy, clarity, and consistency of messaging.</li><li>Work closely with the REMIT team to ensure effective planning and follow-up of IMF engagements and timely delivery of agreed actions.</li></ul> 
Qualifications and Experience<ul><li>Advanced degree (Master&rsquo;s or higher) in Economics, International Finance, Public Policy, or a closely related field.</li><li>Minimum 12 years of senior-level professional experience engaging with the International Monetary Fund or similar international financial institutions.</li><li>Demonstrated track record of supporting governments during IMF programme negotiations, reviews, and technical missions.</li><li>Strong understanding of IMF conditionalities, structural benchmarks, prior actions, and programme monitoring frameworks.</li><li>Proven experience translating IMF requirements into implementable policy, fiscal, and institutional reforms.</li><li>Familiarity with industrial policy, incentive rationalisation, and investment-related reforms is highly desirable.</li><li>Strong ability to operate at the political&ndash;technical interface, supporting senior policymakers during negotiations.</li><li>Excellent communication, negotiation, and stakeholder coordination skills.</li><li>Prior experience working in emerging markets and with donor-funded technical assistance programmes is an advantage.</li></ul> 
Reporting line<ul><li>The IMF Negotiation Expert will work closely with REMIT team and will report to REMIT Team Lead and Investment Climate Lead. The assignment will require close engagement with key governments stakeholders along with presentation and review of deliverables by REMIT team, FCDO and other key stakeholders.</li></ul>
Closing Date: 18 March 2026</div>

IMF Negotiation Expert - REMIT Programme

Reboot Monkey

<div>
 
 About The Role
 
 
 
 Join our team as a
 
 Data Center Technician
 
 in
 
 Bhalwal, PK
 
 . This is a full-time, on-site position where you'll support critical infrastructure at world-class data center facilities.
 
 
 
 Compensation &amp; Benefits
 
 
 
 
 $15,000-18,750/year
 
 (USD annual)
 
 
 Comprehensive benefits package including:
 
 
 <ul>
 <li>
 Health, dental, and vision insurance
 </li>
 <li>
 Paid time off and holidays
 </li>
 <li>
 Professional development allowance
 </li>
 <li>
 Certification sponsorship
 
 
 
 </li>
 </ul>
 Work Schedule
 
 
 <ul>
 <li>
 Full-time permanent position
 </li>
 <li>
 Standard business hours with on-call rotation
 </li>
 <li>
 Shift differentials for nights/weekends when applicable
 
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Install, configure, and maintain server and network equipment
 </li>
 <li>
 Perform structured cabling (copper and fiber optic)
 </li>
 <li>
 Execute hardware deployments and decommissions
 </li>
 <li>
 Monitor environmental systems (power, cooling, security)
 </li>
 <li>
 Respond to incidents and perform troubleshooting
 </li>
 <li>
 Maintain accurate documentation and asset tracking
 </li>
 <li>
 Collaborate with engineering and operations teams
 </li>
 <li>
 Participate in capacity planning and upgrades
 </li>
 <li>
 3+ years data center operations experience
 </li>
 <li>
 Expert cabling skills (Cat6/6a, OM3/OM4/OS2 fiber)
 </li>
 <li>
 Strong troubleshooting and problem-solving abilities
 </li>
 <li>
 Experience with rack and stack operations
 </li>
 <li>
 Understanding of power distribution and UPS systems
 </li>
 <li>
 Excellent documentation and communication skills
 </li>
 <li>
 Ability to lift 50+ lbs and work in demanding environments
 </li>
 <li>
 Data center certifications (CDCP, CDCS, CDCE) - preferred
 </li>
 <li>
 Vendor certifications (Dell, HPE, Cisco) - preferred
 </li>
 <li>
 Network certifications (CCNA, JNCIA) - preferred
 </li>
 <li>
 Experience with DCIM platforms - preferred
 </li>
 <li>
 Knowledge of ITIL practices - preferred
 </li>
 </ul>
</div>

Data Center Technician - PK - Bhalwal - On-site

Explore 373+ Expert data scientist in Islamabad this March. Find roles across top companies and apply now to boost your career.

373 expert data scientist jobs In Islamabad

Expert Data Scientist

Expert Data Scientist

AI Desk Data Analyst

Engineer Machine

Expert Data Center Infra

IMF Negotiation Expert - REMIT Programme

Data Center Technician - PK - Bhalwal - On-site