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data integration / etl developer (oracle cloud data integration) Jobs in Lahore

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>
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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>

Insights Driven Research

DescriptionAbout IDR Founded in 2020, IDR is a global expert network delivering fast, reliable, and cost-effective insights through a vetted pool of experts. With 250+ employees across 8 global offices, IDR operates 24/7 and is trusted by leading brands worldwide.The Role We are looking for a proactive Analyst to join our team at IDR. In this role, you will act as the key liaison between IDR and its clients, ensuring seamless project delivery, expert engagement, and high client satisfaction. You will be responsible for identifying and recruiting the right subject matter experts, managing consultations, and ensuring compliance across all stages of the project lifecycle. This position offers the opportunity to collaborate across international teams and industries, while playing a central role in strengthening client relationships.Key Responsibilities Client and Project Alignment Understand client requirements and project goals, ensuring alignment with deliverables and timelines. Expert Identification and Recruitment Identify, recruit, and screen subject matter experts (SMEs) for qualitative and quantitative research projects using tools such as LinkedIn Sales Navigator, online search engines, and industry databases. Expert Engagement and Onboarding Engage with experts to confirm their suitability and ensure smooth onboarding. Consultation Coordination Coordinate and schedule consultations, maintaining accurate calendars and communication with all parties. Profile Submission and Approval Submit expert profiles for internal review and client approval. Data Management and Documentation Maintain detailed records of experts, including payment information and compliance documentation, on internal trackers and platforms. Expert Support and Communication Address expert queries regarding onboarding, payments, and project processes in a timely manner.Compliance and Security Ensure compliance with internal policies and information security standards throughout project execution.Qualifications &amp; Skills: Education: Bachelor&rsquo;s degree in management sciences, Business Administration, or a related field. Experience: 0&ndash;2 years of relevant work experience. Communication Skills: Strong written and verbal communication, with the ability to engage effectively with professionals across industries. Other necessary skills: Familiarity with the expert network industry. Strong collaboration skills with the ability to manage multiple stakeholders. Resilience in handling tight deadlines and changing client needs. Strong negotiation and influencing skills. Proficiency in Microsoft Excel and Word. Interest in learning about new industries, research methodologies, and compliance best practices.What Do We Offer? Work Location: Onsite Working Hours: 6:00 PM &ndash; 3:00 AM PKT (Monday to Friday) Job Type: Full-time Office Location: 7th Floor, Office 4-A, 75/76 D-1, Main Boulevard, Gulberg III, Lahore, 40050Compensation &amp; Benefits: Benefits: EOBI contributions as per Pakistan&rsquo;s labor laws. Leaves: 14 annual leaves, 8 sick leaves, 10 casual leaves. Additional Perks: Medical coverage, paid training, team events, growth opportunities, and a clear promotion path. Gratuity: Applicable upon completion of two years of continuous service, in line with local labor regulations. Quarterly Bonus: Employees are eligible for a quarterly bonus, subject to company policy.Equal Opportunity &amp; Inclusion IDR is an equal opportunity employer. We make all employment decisions based on merit, qualifications, and business needs, without discrimination on the basis of race, religion, gender, age, disability, or any other status protected under Pakistani law. We are committed to maintaining a fair, inclusive, and respectful workplace for all.Job Type: Full-timeWork Location: In person

Analyst US OPS

muSharp

<div>
 
 
 Company Overview:
 
 
 
 muSharp is a global software development partner specializing in tailored solutions that drive innovation and efficiency. With expert teams dedicated to various domains, we empower businesses to achieve their digital transformation goals through cutting-edge technologies and strategic insights.
 
 
 
 Job Overview:
 
 
 
 As a Tag Manager at muSharp, you will be responsible for implementing and managing tags across our digital platforms, ensuring accurate data capture for user behavior, conversions, and performance insights. Collaborating with marketing, analytics, web development teams, and third-party agencies, you will troubleshoot data discrepancies, optimize tracking, and ensure compliance with best practices. Your expertise will be key in refining marketing strategies and business decisions. If you thrive on problem-solving, precision, and data-driven optimization, this is the perfect opportunity for you!
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Implement, configure, and optimize tags across muSharp&rsquo;s websites, analytics tools, and marketing platforms.
 </li>
 <li>
 Audit and test tag performance to ensure accurate data capture and seamless integration.
 </li>
 <li>
 Work closely with Google Analytics, Google Tag Manager, OneTrust, and other key platforms.
 </li>
 <li>
 Collaborate with internal teams and third-party agencies to align tagging strategies with business goals.
 </li>
 <li>
 Ensure tags support campaign tracking, conversion measurement, and user behaviour analysis.
 </li>
 <li>
 Stay up to date with best practices, compliance regulations (including cookie management), and emerging digital trends.
 </li>
 </ul>
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 3-4 years of working experience in digital analytics, web tracking, or a related field, with a strong understanding of tag management.
 </li>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Analytics, Digital Marketing, Information Technology, or a related field.
 </li>
 <li>
 Certifications in Google Analytics (GA4), Google Tag Manager, or other relevant analytics platforms are a plus will be preferred.
 </li>
 </ul>
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Proficiency in Google Analytics, Google Tag Manager, and familiarity with data visualization tools like Tableau or Power BI.
 </li>
 <li>
 Integration of email data (audiences) / Expert in Looker Studio reporting and other suites.
 </li>
 <li>
 Strong analytical mindset with attention to detail to troubleshoot and optimize tracking performance.
 </li>
 <li>
 Ability to collaborate cross-functionally with marketing, development, and analytics teams.
 </li>
 <li>
 Knowledge of SEO, paid media, and website analytics is a plus.
 </li>
 <li>
 A problem-solver who thrives in a fast-paced, collaborative environment.
 </li>
 </ul>
 
 
 What we offer?
 
 
 <ul>
 <li>
 Market Competitive Salary Package.
 </li>
 <li>
 Annual Paid Casual and Sick Leaves.
 </li>
 <li>
 Annual Trips/Recreational Activities.
 </li>
 <li>
 Regular birthdays and team dinners.
 </li>
 <li>
 Opportunity to work with international team and clients.
 </li>
 <li>
 Annual performance reviews.
 </li>
 <li>
 Office Lunch Facility.
 </li>
 <li>
 Flexible work arrangements and a supportive company culture focused on employee well-being and work-life balance.
 </li>
 </ul>
 
 
 
</div>

Tag Manager Specialist

Dubizzle Labs

<div>
 At Dubizzle Labs, we are looking to further expand our Pakistan engineering office of already 250+. We are most interested in bringing on board colleagues who love to learn, perform, and teach. We are building a high-quality engineering environment with a super focus on delivering value to customers. Your primary responsibility would be to build world-class suite products to support the hyper-growth of our businesses in 10 countries.
 
 
 <ul>
 <li>
 Define the product strategy, roadmap, and prepare PRDs/Specs with prioritized features and corresponding
 </li>
 <li>
 Justification using data analysis and pain point analysis. Expert on wire-framing and prototyping using AdobeXD/Figma/or any other tool
 </li>
 <li>
 Strong communication and negotiation skills to bridge gaps between design, engineering, marketing, sales, customer support, and end-users
 </li>
 <li>
 Sound knowledge of SDLC, Google Analytics, Firebase, Data Studio, and Databases
 </li>
 <li>
 Understanding of the SCRUM framework and effectively applying it within teams
 </li>
 <li>
 Strong analytical skills and a data-driven mindset to craft solutions backed with data and plan value proposition accordingly
 </li>
 <li>
 Expertise in competitor analysis and ability to keep up with the competition and pivoting the product accordingly
 </li>
 <li>
 Fresh - 1 year of experience is required
 </li>
 </ul>
</div>

Product Executive

Design and Development

We&rsquo;re looking for an Amazon Listing Expert who knows how to turn listings into high-converting assets. If you understand Amazon SEO, shopper psychology, and compliance &mdash; this role is for you.Location: On-site &ndash; Lahore Job Type: Full-timeResponsibilities:<ul><li>Create &amp; optimize Amazon listings (Title, Bullets, Description, A+ Content)</li><li>Perform keyword research using tools like Helium 10 / Data Dive</li><li>Optimize listings for CTR, CVR, and organic ranking</li><li>Ensure Amazon policy &amp; category compliance</li><li>Coordinate with design team for images &amp; A+ layouts</li><li>Optimize existing listings based on performance data</li></ul>Requirements:<ul><li>Proven experience as an Amazon Listing Specialist</li><li>Strong grip on Amazon SEO &amp; backend keywords</li><li>Experience with US/UK marketplaces (preferred)</li><li>Familiar with flat files &amp; category attributes</li><li>Detail-oriented &amp; performance-driven mindset</li></ul>Bonus Skills:<ul><li>A+ Content strategy</li><li>CRO mindset (conversion optimization)</li><li>Basic understanding of Amazon PPC (plus point)</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs100,000.00 per monthWork Location: In person

Amazon Listing Expert (On-Site – Lahore)

ITC Worldwide

<div>
 
 Remote | part-time 20+ hours per week
 
 
 
 
 Flex: Work Hours: (0800 GMT - 2359 GMT)
 
 
 
 We are seeking a highly skilled
 
 Dataverse Architect
 
 to design and build enterprise-grade solutions using Microsoft Power Platform. This role focuses on secure Dataverse architecture, business application modernization, Azure integrations, and automation strategy.
 
 
 
 You Will:
 
 
 
 <ul>
 <li>
 Architect Dataverse environments and enterprise data models
 </li>
 <li>
 Build model-driven and canvas apps
 </li>
 <li>
 Implement Power Automate workflows and Azure integrations
 </li>
 <li>
 Define governance, ALM, and security best practices
 </li>
 <li>
 Lead modernization projects (e.g., Learning Management Apps, workflow automation, CRM/ERP extensions)
 
 
 
 </li>
 </ul>
 
 You Need:
 
 
 
 <ul>
 <li>
 5+ years Power Platform experience
 </li>
 <li>
 Dataverse architecture expertise
 </li>
 <li>
 Strong Azure integration skills
 </li>
 <li>
 Experience with DevOps, governance, and solution lifecycle management
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft PL‑600 (Solution Architect Expert)
 </li>
 <li>
 Microsoft PL‑400 (Power Platform Developer)
 </li>
 <li>
 Microsoft Azure Architect credentials (AZ‑305 or equivalent)
 </li>
 <li>
 Experience in enterprise modernization, or digital transformation projects
 
 
 
 </li>
 </ul>
 If you build scalable, modern, data-driven business applications, wed love to meet you.
</div>

Data Solution Architect – Dataverse Developer

Explore 649+ Expert data scientist in Lahore this March. Find roles across top companies and apply now to boost your career.

649 expert data scientist jobs In Lahore

Expert Data Scientist

Expert Data Scientist

Analyst US OPS

Tag Manager Specialist

Product Executive

Amazon Listing Expert (On-Site – Lahore)

Data Solution Architect – Dataverse Developer