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data analyst/data architect Jobs in Lahore

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expert data scientist

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machine learning engineer

OOP Technologies

<p><b>Job Title: AI Engineer</b><br/><b>Company:</b> OOP Technologies<br/><b>Location:</b> Iqbal Town, Lahore<br/><b>Shift Timing:</b> 9:00 PM &ndash; 6:00 AM (Night Shift)<br/><b>Experience Required:</b> 2 to 4 Years</p><p><b>Job Description:</b><br/>OOP Technologies is seeking a skilled and motivated AI Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions to support business operations and enhance product capabilities. You will work on real-world applications involving machine learning, data analysis, and automation, particularly for international (USA-based) projects.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Design and implement AI solutions for automation and data-driven decision-making</li><li>Work with large datasets, perform data preprocessing, and feature engineering</li><li>Integrate AI models into production systems and APIs</li><li>Collaborate with cross-functional teams including developers, analysts, and project managers</li><li>Monitor model performance and continuously improve accuracy and efficiency</li><li>Stay updated with the latest advancements in AI and emerging technologies</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>2&ndash;4 years of hands-on experience in AI/ML development</li><li>Strong knowledge of Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with data analysis, NLP, or computer vision is a plus</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred</li><li>Strong problem-solving and analytical skills</li><li>Ability to work in a fast-paced night shift environment</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary package</li><li>Opportunity to work on international (USA-based) projects</li><li>Career growth and learning opportunities</li><li>Supportive and professional work environment</li></ul><p><b>Apply Now:</b><br/>Send your CV to: hr.ooptechnologies@gmail.com<br/>WhatsApp: 0323-7846800</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs350,000.00 per month</p><p>Work Location: In person</p>

AI Engineer

Hazen Technologies Inc.

<div><p><b>Company Overview:</b></p><p>
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.</p><p><b>
Job Location</b>: Gulberg Lahore Pakistan.</p><p><b>
Job Conditions:</b> Onsite, full time, 02:00 pm to 11:00 pm PKT</p><p><b>
Report to:</b> Chief Software Architect</p><p>
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using <b>Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures</b>, and modern machine learning techniques.</p><p><b>
Key Responsibilities:</b></p><br>
<ul><li>
Design and implement <b>AI-powered applications</b> using Large Language Models (LLMs).</li>
<li>Develop and maintain <b>Retrieval-Augmented Generation (RAG) pipelines</b> for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with <b>LLM APIs</b> and integrate them into production-grade applications.</li>
<li>Build and manage <b>embedding pipelines and vector search solutions</b>.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in <b>Generative AI, LLM frameworks, and machine learning technologies</b>.</li></ul><p><b>
Key Requirements:</b></p><ul>
<li><b>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</b></li>
<li>Strong programming skills in <b>Python</b>.</li>
<li>Hands-on experience working with <b>LLMs and their APIs</b>.</li>
<li>Experience building or working with <b>RAG-based architectures</b>.</li>
<li>Understanding of <b>machine learning fundamentals</b> and model evaluation techniques.</li>
<li>Experience with <b>embeddings, vector databases, and semantic search</b>.</li>
<li>Familiarity with frameworks such as <b>LangChain, LlamaIndex, or similar LLM orchestration tools</b>.</li></ul><p><b>
Preferred / Nice to Have</b></p><ul>
<li>Experience with <b>Azure AI services and Azure OpenAI</b>.</li>
<li>Familiarity with <b>vector databases</b> such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in <b>cloud environments (Azure preferred)</b>.</li>
<li>Knowledge of <b>MLOps, model monitoring, and scalable AI system design</b>.</li>
<li>Experience working with <b>REST APIs and backend integration</b>.</li></ul><p>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.</p><p>
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</p></div>

AI/ML Engineer

Pixalate

<div>
 Applied AI Scientist
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : Remote, Pakistan
 <br/>
 <br/>
 <strong>
  Level:
 </strong>
 Mid to Senior (PhD Required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 Must-Have
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 Nice-to-Have
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <em>
  Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.
 </em>
</div>


Applied AI Scientist (PhD Required)

Contour Software

<div><div><b>About Contour</b></div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div><b>
Job Description</b><b>: Senior AI Engineer - DIS</b></div></div><div><div><b>
The Division:</b><br>
Dealer Information Systems Corporation (Client) is a leading business management software provider to agricultural, construction, truck refrigeration and lift truck dealers in North America. Founded in 1980, and based in Bellingham WA (USA); we are a team of 100+ professionals who help customers with Software, Hardware and Network Management so they don't have to deal with many vendors but just one full-service company.<br>
<br>
Division Profile: https://www.discorp.com/</div></div><div><div><b>
The Position</b></div></div><div><div>
The division is seeking a <b>Senior AI Engineer</b> to join its team. This individual will be responsible for designing and developing the AI platform, including building GenAI systems from the ground up, creating production-ready retrieval-augmented generation (RAG) solutions, developing semantic search and embeddings pipelines, and architecting advanced LLM orchestration layers for complex workflows and agentic systems.</div></div><div></div><div><div><br>
The chosen individual will work out of the Contour Software Lahore or Islamabad resource center office as an extension of the division-based R&amp;D department.</div></div><div></div><div><div><b><br>
Essential Duties and Responsibilities</b></div></div><div><ul><li><div><b>
AI Platform Architecture:</b></div></li></ul></div><div><ul><li><div>
Design and implement the enterprise GenAI architecture from the ground up.</div></li></ul></div><div><ul><li><div>
Build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure.</div></li></ul></div><div><ul><li><div>
Architect LLM orchestration layers for multi-step reasoning, tool usage, and AI-driven workflows.</div></li></ul></div><div><ul><li><div>
Define scalable patterns for agentic systems and domain-aware assistants.</div></li></ul></div><div><ul><li><div><b>
LLM Systems in Production:</b></div></li></ul></div><div><ul><li><div>
Integrate LLM providers (OpenAI, Anthropic, open-weight models, or hybrid approaches) into secure, observable enterprise systems.</div></li></ul></div><div><ul><li><div>
Build AI service layers, orchestration APIs, caching, evaluation pipelines, and monitoring frameworks.</div></li></ul></div><div><ul><li><div>
Design for latency, cost optimization, safety, and reliability at scale.</div></li></ul></div><div><ul><li><div>
Establish measurable quality benchmarks and evaluation strategies for AI outputs.</div></li></ul></div><div><ul><li><div><b>
Responsible &amp; Enterprise-Ready AI</b><b>:</b></div></li></ul></div><div><ul><li><div>
Implement guardrails, policy enforcement, and hallucination mitigation mechanisms.</div></li></ul></div></div><div><div><ul><li><div>
Define governance standards for data provenance, auditability, and transparency.</div></li></ul></div><div><ul><li><div>
Build AI systems that engineering and compliance teams can trust.</div></li></ul></div><div><ul><li><div><b>
AI Adoption &amp; Enablement</b><b>:</b></div></li></ul></div><div><ul><li><div>
Translate high-impact business problems into AI-native architectures.</div></li></ul></div><div><ul><li><div>
Partner with product leaders to prioritize AI features that drive measurable value.</div></li></ul></div><div><ul><li><div>
Mentor engineers and raise the organization&rsquo;s AI maturity.</div></li></ul></div><div><ul><li><div>
Move teams from PoCs to scalable, production-grade AI capabilities.</div></li></ul></div><div><div><b>
Required Education and Experience:</b></div></div><div><ul><li><div>
Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience.</div></li></ul></div><div><ul><li><div>
5+ years building applied AI/ML systems, with strong recent experience in Generative AI.</div></li></ul></div><div><ul><li><div>
Proven experience shipping LLM-powered applications (RAG, embeddings, prompt strategies, model adaptation).</div></li></ul></div><div><ul><li><div>
Deep understanding of vector search, semantic retrieval, and AI system evaluation.</div></li></ul></div><div><ul><li><div>
Experience building orchestration layers using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or designing equivalent custom architectures.</div></li></ul></div><div><ul><li><div>
Strong cloud-native engineering experience (AWS, Azure, or GCP).</div></li></ul></div><div><ul><li><div>
Advanced Python skills and experience building scalable backend systems and APIs.</div></li></ul></div><div><ul><li><div>
Experience implementing observability, CI/CD, and monitoring for AI systems in production.</div></li></ul></div><div><ul><li><div>
Ability to balance innovation with enterprise constraints (security, compliance, reliability).</div></li></ul></div><div></div><div><div><b><br>
What Makes This Role Different</b></div></div><div><ul><li><div>
You are not inheriting a legacy AI stack; you will help define it.</div></li></ul></div></div><div><div><ul><li><div>
You will shape AI standards, architecture, and governance across the division.</div></li></ul></div><div><ul><li><div>
Your work will power real customer-facing products and operational intelligence.</div></li></ul></div><div><ul><li><div>
You will operate at the intersection of AI strategy, architecture, and hands-on engineering.</div></li></ul></div></div><div></div><div><b><br>
Exciting Benefits we offer:</b></div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Senior AI Engineer

Vortexian Tech (SMC-Pvt) Ltd

<p><b>Urgent Hiring &ndash; Full Stack AI Python Developer</b></p><p><b>Location:</b> DHA Phase 8, Lahore, Pakistan<br/><b>Job Type:</b> Full-Time (Onsite)</p><p><b>Timings:</b> 6:00 PM &ndash; 3:00 AM</p><p><b>Job Description</b></p><p>We are urgently hiring a talented <b>Full Stack AI Python Developer</b> with strong hands-on experience in <b>Python development and AI/ML technologies</b>. The ideal candidate should be passionate about building intelligent systems, writing clean code, and working in a fast-paced development environment.</p><p>This role is primarily <b>development-focused</b>, with opportunities to work on cutting-edge AI solutions and modern full-stack applications.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy <b>AI/ML models</b> using Python</li><li>Build and maintain <b>backend systems and APIs</b> (Django / Flask / FastAPI)</li><li>Integrate AI features into <b>web and mobile applications</b></li><li>Work with frameworks like <b>TensorFlow, PyTorch, Scikit-learn, Hugging Face</b></li><li>Collaborate with frontend and mobile developers (React, Flutter, etc.)</li><li>Optimize application performance and scalability</li><li>Participate in code reviews and technical discussions</li></ul><p><b>Requirements</b></p><ul><li>Strong experience in <b>Python development</b></li><li>Hands-on experience in <b>AI/ML (NLP, Deep Learning, ML pipelines)</b></li><li>Experience with <b>Django / Flask / FastAPI</b></li><li>Knowledge of <b>API development and integration</b></li><li>Good <b>English communication skills</b></li><li>Ability to work <b>onsite in DHA Phase 8, Lahore</b></li><li>Strong problem-solving skills and attention to detail</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with <b>LLMs (OpenAI APIs, LangChain, RAG pipelines)</b></li><li>Knowledge of <b>Docker, CI/CD, AWS/Azure/GCP</b></li><li>Exposure to <b>React, Laravel, or Flutter</b></li><li>Experience working on <b>SaaS, ERP, or Healthcare projects</b></li></ul><p><b>Only serious and immediate joiners are encouraged to apply.</b></p><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs135,000.00 per month</p><p>Work Location: In person</p>

Urgent Hiring – Full Stack AI Python Developer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description</b></h1><p><b>
Job Title:</b> Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)<br>
<b>Project:</b> Demand Planning ML Models Initiative<br>
<b>Role Level:</b> Expert / Principal (Hands-on, Delivery-Focused)<br>
<b>Employment Type:</b> Full-Time<br>
<b>Experience:</b> 7+ Years<br>
<b>Job Location:</b> Remote<br>
<b>Job Timing:</b> Vietnam Time Zone</p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking an <b>Expert Data Scientist</b> with deep hands-on experience in <b>machine learning&ndash;based demand forecasting</b> to support the <b>ANZ Demand Planning ML Models initiative</b>.</p><p>
This role requires a senior practitioner capable of <b>independently designing, developing, and delivering enterprise-grade demand forecasting models</b>. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.</p><h1 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h1><h2 class="jobSectionHeader"><b>
Demand Planning &amp; Forecasting (Core Focus)</b></h2><ul><li><p>
Lead the <b>design, development, and optimization of ML-based demand forecasting models</b>.</p></li><li><p>
Work extensively with <b>time-series datasets related to sales, demand, and supply planning</b>.</p></li><li><p>
Apply and optimize <b>statistical forecasting techniques and machine learning algorithms</b>.</p></li><li><p>
Perform <b>advanced feature engineering</b> incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</p></li><li><p>
Conduct <b>back-testing, validation, and scenario analysis</b> to continuously improve forecast accuracy.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Data Science Leadership &amp; Delivery</b></h2><ul><li><p>
Own the <b>end-to-end data science lifecycle</b>, from data exploration and model development to deployment support.</p></li><li><p>
Define, monitor, and optimize forecasting KPIs including <b>MAPE, RMSE, and MAE</b>.</p></li><li><p>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</p></li><li><p>
Clearly communicate <b>model logic, assumptions, and insights</b> to business and executive stakeholders.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Collaboration &amp; Execution</b></h2><ul><li><p>
Collaborate closely with <b>Data Engineers, Analytics teams, and business stakeholders</b> to operationalize forecasting models.</p></li><li><p>
Support <b>production deployment, monitoring, and model performance improvements</b>.</p></li><li><p>
Drive <b>knowledge sharing and best practices</b> in forecasting and machine learning across teams.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Required Experience</b></h1><ul><li><p><b>
7+ years</b> of experience in <b>Data Science / Machine Learning</b>.</p></li><li><p><b>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning</b>.</p></li><li><p>
Proven experience delivering <b>production-grade or business-critical forecasting models</b>.</p></li><li><p>
Strong experience working with <b>enterprise-scale time-series datasets</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Technical Skills</b></h1><ul><li><p>
Advanced <b>Python for Data Science and Machine Learning</b>.</p></li><li><p>
Strong expertise in <b>time-series forecasting techniques</b> (statistical and ML-based).</p></li><li><p>
Experience with machine learning models such as <b>regression, tree-based models, and ensemble methods</b>.</p></li><li><p>
Advanced <b>feature engineering for demand and planning datasets</b>.</p></li><li><p>
Strong <b>SQL and data manipulation</b> capabilities.</p></li><li><p>
Experience with <b>forecast evaluation metrics (MAPE, RMSE, MAE)</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Soft Skills</b></h1><ul><li><p>
Strong <b>ownership and accountability mindset</b>.</p></li><li><p>
Excellent <b>analytical and problem-solving capabilities</b>.</p></li><li><p>
Ability to <b>communicate complex technical concepts to non-technical stakeholders</b>.</p></li><li><p>
Comfortable working in <b>fast-paced environments with tight delivery timelines</b>.</p></li></ul><p>
</p><p>OLlD82d2j5</p></div>

Expert Data Scientist

Datamatics Technologies

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


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