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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>
OLlD82d2j5</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>

Pixalate

<div>
 Applied AI Scientist
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Location
 
 : Remote, Pakistan
 
 
 
 Level:
 
 Mid to Senior (PhD Required)
 
 
 
 About The Role
 
 
 
 We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
 
 
 This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues
 </li>
 <li>
 Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams
 </li>
 <li>
 Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time
 </li>
 <li>
 Partner with engineering and product teams to ensure data quality and integrity across product pipelines
 </li>
 <li>
 Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements
 </li>
 <li>
 Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 Must-Have
 
 
 <ul>
 <li>
 PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
 </li>
 <li>
 3&ndash;6 years of experience in a data science, ML, or data analytics role
 </li>
 <li>
 Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong
 </li>
 <li>
 Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)
 </li>
 <li>
 Proficiency in Python and SQL
 </li>
 <li>
 Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous
 </li>
 <li>
 Clear written and verbal communication skills
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems
 </li>
 <li>
 Exposure to multi-agent orchestration patterns
 </li>
 <li>
 Comfort working in fast-moving environments with evolving product requirements
 
 
 </li>
 </ul>
 We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.
 
 
 Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.
 
 
 Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
 
 
 <ul>
 <li>
 Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
 </li>
 <li>
 Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
 </li>
 <li>
 Washington Post: Your kids&rsquo; apps are spying on them
 </li>
 <li>
 Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire
 </li>
 <li>
 ABC7 News: The State of Children's Privacy Online
 </li>
 <li>
 NBC News: How many apps are tracking your children
 
 
 </li>
 </ul>
 Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.
 
 
 
 Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.
 
</div>

Applied AI Scientist (PhD Required)

Design and Development

Job OverviewWe are looking for an Amazon Listing Expert who can create, optimize, and manage high-converting product listings. The ideal candidate understands Amazon SEO, keyword strategy, and content optimization to improve visibility, CTR, and conversion rates.Key Responsibilities<ul><li>Create and optimize Amazon product listings (Title, Bullet Points, Description, A+ Content)</li><li>Conduct keyword research using tools like Helium 10, Data Dive, etc.</li><li>Implement SEO strategies to improve organic ranking and indexing</li><li>Analyze competitor listings and identify optimization opportunities</li><li>Manage listing variations, backend keywords, and attributes</li><li>Ensure listings comply with Amazon guidelines and policies</li><li>Continuously monitor listing performance (CTR, CVR, sessions)</li><li>Work with design team for images and A+ content improvements</li></ul>Requirements<ul><li>Proven experience in Amazon listing optimization</li><li>Strong understanding of Amazon SEO &amp; ranking algorithm</li><li>Experience with tools like Helium 10, Data Dive, Jungle Scout</li><li>Excellent copywriting and keyword integration skills</li><li>Ability to analyze data and improve listing performance</li><li>Familiarity with Seller Central</li></ul>Preferred Qualifications<ul><li>Experience managing multiple SKUs</li><li>Knowledge of Amazon PPC (bonus)</li><li>Experience with A/B testing and listing experiments</li></ul>What We Offer<ul><li>Competitive salary</li><li>Remote work flexibility</li><li>Opportunity to work with growing brands</li><li>Performance-based growth opportunities</li></ul>Job Type: Full-timePay: Rs65,000.00 - Rs100,000.00 per monthWork Location: In person

Amazon Listing Expert

Software Finder Careers

<div>
 
 About The Role
 
 
 
 Software Finder is looking for a Data Strategy &amp; Market Intelligence Specialist to support the organization&rsquo;s data expansion efforts across multiple SaaS categories. This role focuses on market analysis, vendor evaluation, and data sourcing strategy to ensure scalable and reliable lead generation across new and existing verticals.
 
 
 This is a strategic and execution focused role suited for someone who can connect market insights with data operations, and independently drive research, evaluation, and sourcing decisions that directly impact growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct market research across SaaS categories to identify expansion opportunities and data gaps
 </li>
 <li>
 Develop Total Addressable Market models to estimate opportunity size across different segments
 </li>
 <li>
 Identify, evaluate, and benchmark potential data vendors based on quality, coverage, and scalability
 </li>
 <li>
 Assess current data infrastructure and determine readiness to support new vendor verticals
 </li>
 <li>
 Design and recommend data sourcing strategies across external vendor procurement and internal data extraction
 </li>
 <li>
 Work closely with data operations to align sourcing priorities with ICP requirements and campaign demand
 </li>
 <li>
 Analyse vendor performance and continuously optimize sourcing strategies for efficiency and cost effectiveness
 </li>
 <li>
 Maintain documentation of data sources, coverage, and performance benchmarks
 </li>
 <li>
 Monitor industry trends, emerging vendors, and changes in data availability
 </li>
 <li>
 Support leadership with insights and recommendations for market entry and expansion decisions
 
 
 </li>
 </ul>
 
 Qualification &amp; Skills
 
 
 
 <ul>
 <li>
 2 to 4 plus years of experience in market research, data strategy, business intelligence, or a related role
 </li>
 <li>
 Strong analytical skills with experience in market sizing, segmentation, and trend analysis
 </li>
 <li>
 Experience evaluating third party data vendors or working with external data sources is preferred
 </li>
 <li>
 Proficiency in Excel for modelling, analysis, and reporting
 </li>
 <li>
 Ability to synthesize complex data into clear, actionable insights
 </li>
 <li>
 Strong research and problem-solving skills with attention to detail
 </li>
 <li>
 Ability to work cross functionally with data, marketing, and growth teams
 
 
 </li>
 </ul>
 
 Software Finder
 
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 
 
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 
 
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>

Data Strategy & Market Intelligence Specialist

SKYLAND BUISNESS LLC

Expert HR Recruiter required who is able to post ads on job boards, conduct interviews and hire potential candidates.candidate must be expert to hire 2-3 eligible candidates every weekjob timings are between 5pm to 2am.Job Location: Formanities Housing Society Lahore. near by DHA 5Job Type: Full-timePay: Rs50,000.00 - Rs70,000.00 per monthWork Location: In person

HR Recruiter (Night Shift)

Central Tech Services

About Us: Pexdel helps businesses grow their online presence with proven SEO and digital marketing strategies. We are seeking a results-driven Digital Marketing Team Lead &amp; Google &amp; Meta Ads Expert with strong SEO expertise to plan, execute, and optimize paid and organic marketing campaigns that drive measurable ROI and business growth.Responsibilities:<ul><li>Lead and manage the digital marketing team while overseeing Google Ads and Meta (Facebook/Instagram) advertising campaigns.</li><li>Develop and execute comprehensive SEO strategies to improve website rankings, organic traffic, and conversions.</li><li>Create, manage, and optimize paid campaigns to maximize ROI.</li><li>Conduct keyword research, audience targeting, and competitor analysis for both paid and organic campaigns.</li><li>Monitor performance metrics, generate detailed campaign reports, and recommend optimization strategies.</li><li>Develop creative ad copy and visuals in coordination with the design team.</li><li>Implement A/B testing to improve campaign effectiveness.</li><li>Stay updated on the latest advertising trends, SEO best practices, and platform policies.</li><li>Manage advertising budgets efficiently to achieve campaign objectives.</li><li>Collaborate with the marketing team to align paid and organic strategies with overall business goals.</li></ul>Requirements:<ul><li>Proven experience managing Google Ads, Meta Ads campaigns, and SEO strategies.</li><li>Deep understanding of SEO techniques, keyword research, on-page/off-page optimization, and content strategy.</li><li>Strong knowledge of PPC strategies, bidding models, and conversion tracking.</li><li>Proficiency in Google Ads Manager, Meta Business Suite, Google Analytics, and SEO tools (e.g., SEMrush, Ahrefs, Google Search Console).</li><li>Ability to analyze data and make data-driven decisions.</li><li>Excellent communication, reporting, and leadership skills.</li><li>Certification in Google Ads, Meta Ads, or SEO is preferred but not mandatory.</li></ul>Benefits:<ul><li>Competitive salary package.</li><li>Performance-based incentives and growth opportunities.</li><li>Learning-focused and supportive work environment.</li><li>Collaborative and professional team culture.</li></ul>Location &amp; Work Details:<ul><li>Location: Central Tower 2, Hali Road, Gulberg 3, Lahore</li><li>Job Type: Full-time, Onsite</li><li>Shift Timings: 3:00 PM &ndash; 12:00 AM (Monday to Friday)</li></ul>How to Apply:<ul><li>Apply directly on Indeed or send your CV to +92 328 1648517</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs150,000.00 per monthWork Location: In person

Digital Marketing Team Lead & Google & Meta Ads Expert

Explore 172+ Expert data scientist in Lahore Pakistan this April. Find roles across top companies and apply now to boost your career.

172 expert data scientist jobs In Lahore Pakistan

Expert Data Scientist

Expert Data Scientist

Applied AI Scientist (PhD Required)

Amazon Listing Expert

Data Strategy & Market Intelligence Specialist

HR Recruiter (Night Shift)

Digital Marketing Team Lead & Google & Meta Ads Expert