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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>

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>
CsmDBwnQ2M</div>

Dollar Industries Pvt. Ltd

We are looking for Performance Management Lead to build, strengthen, and scale a high impact, data driven performance ecosystem that drives measurable results, empowers teams, and reinforces a culture of accountability, agility, and operational excellence.This is a pivotal role within the Human Resources function, responsible for aligning enterprise wide performance frameworks with evolving business priorities in a dynamic manufacturing environment.Key Responsibilities<ul><li>Own, design, and continuously evolve a lean and scalable performance management framework across the organization.</li><li>Translate business strategy into SMART goals, KPIs, and measurable performance standards.</li><li>Lead the annual and mid year performance cycles, ensuring transparency, consistency, and fairness.</li><li>Align performance outcomes with recognition, rewards, succession planning, and talent development initiatives.</li><li>Champion a culture of continuous feedback, cost conscious growth, efficiency, and accountability.</li><li>Partner with functional leaders to ensure goal alignment with operational and financial targets.</li><li>Facilitate calibration sessions and provide data driven insights to senior leadership for informed decision making.</li><li>Train and coach managers on effective performance conversations, evaluation techniques, and development planning.</li><li>Leverage HR analytics and performance dashboards to monitor trends and drive continuous improvement.</li></ul>Candidate Profile<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in HR, Business Administration, or a related discipline.</li><li>4&ndash;5 years of progressive HR experience, including at least 3 years in performance management within a manufacturing setup.</li><li>Strong expertise in KPI design, performance analytics, and competency based frameworks.</li><li>Demonstrated ability to influence senior stakeholders and drive change across functions.</li><li>Strong analytical mindset with excellent communication and stakeholder management skills.</li><li>Proficiency in HRIS and performance management tools.</li></ul>This is more than a job it is an opportunity to shape how performance drives strategy, cost leadership, and sustainable growth at scale.Interested candidates may send their updated CV, mentioning the position applied for in the subject line, to: jobs@dollar-stationery.comWork Location: In person

Performance Management Lead – Human Resources

LN Technologies

Location: Onsite / Remote / Hybrid Employment Type: Full‑time / Contract Department: Research &amp; DevelopmentAbout the RoleWe are seeking a highly motivated Biomedical Researcher to join our Research &amp; Development (R&amp;D) team. This role is ideal for candidates with a strong academic background and a passion for applying scientific research to real‑world healthcare, public health, and digital health challenges.The Biomedical Researcher will contribute to applied research initiatives, data‑driven healthcare studies, and interdisciplinary projects spanning biomedical sciences, public health, and health technology.Key Responsibilities<ul><li>Conduct biomedical, public health, and healthcare‑focused research in support of R&amp;D initiatives</li><li>Perform critical analysis of healthcare, public health, and medical datasets</li><li>Analyze epidemiological and population‑level datasets to identify trends, patterns, and insights</li><li>Support scientific research writing, including manuscripts, technical reports, white papers, and research summaries</li><li>Work with structured and unstructured medical and healthcare datasets</li><li>Apply statistical and analytical methods to validate research findings</li><li>Collaborate with cross‑functional teams including data analysts, clinicians, and technology teams</li><li>Assist in the design, documentation, and interpretation of research studies</li><li>Ensure research outputs meet high standards of scientific rigor, accuracy, and ethics</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s (B.S.) or Master&rsquo;s (M.Sc.) degree in:</li><li>Life Sciences</li><li>Biological Sciences</li><li>Biomedical Research</li><li>Public Health</li><li>Biomedical or Healthcare‑related scientific disciplines</li><li>Strong academic background with excellent academic performance</li><li>Solid understanding of scientific research methodologies</li></ul>Preferred Skills &amp; ExpertisePreference will be given to candidates with experience or strong knowledge in one or more of the following areas:<ul><li>Basic healthcare and clinical domain knowledge</li><li>Scientific and research writing (manuscripts, reports, proposals)</li><li>Public health datasets analysis</li><li>Medical and healthcare data usage</li><li>Critical data analysis and interpretation</li><li>Epidemiology and population health</li><li>Healthcare informatics</li><li>Digital health or health technology applications</li></ul>Ideal Candidate Profile<ul><li>Detail‑oriented with strong analytical and critical‑thinking skills</li><li>Comfortable working with data‑driven research problems</li><li>Ability to translate complex scientific findings into clear, structured documentation</li><li>Strong written and verbal communication skills</li><li>Self‑driven, curious, and eager to contribute to interdisciplinary research projects</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you comfortable working on the Evening Shift?</li><li>What is your Current Salary?</li><li>What is your expected salary?</li><li>How soon can you join?</li><li>Are you currently enrolled in a PhD program in Biomedical Engineering &amp; Biomedical Technology / Sciences or a related field?</li></ul>Work Location: In person

Biomedical Researcher – Research & Development (R&D)

360factors

<div><div><div><div><h2 class="jobSectionHeader">Job Summary</h2>

Program Manager &ndash; Data &amp; Product Operations to lead and oversee the planning, coordination, and execution of programs involving data engineering, software development, and business process automation for compliance solution (JIRA &amp; Decisions). This role is pivotal in aligning data infrastructure and digital product operations with business goals, ensuring scalable, efficient, and timely delivery across the organization.

The Program Manager will bring extensive experience in Agile delivery, stakeholder collaboration, and managing technical and operational programs. He/She will work cross-functionally with data engineers, low-code engineers, and software development teams to optimize product workflows, streamline operations, and deliver high-impact solutions.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<h3 class="jobSectionHeader">1. Program &amp; Delivery Leadership</h3>
<ul><li>Lead the delivery of large-scale programs across data engineering, product development, Decisions &amp; JIRA platform, and automation domains.</li>
<li>Define scope, timelines, milestones, and success criteria in collaboration with technical leads and business owners &amp; PMO</li>
<li>Apply Agile practices to manage workstreams across multiple technical teams.</li>
<li>Drive program health reviews, risk assessments, and communication plans for all initiatives.</li>
</ul><h3 class="jobSectionHeader">2. Software Development &amp; Product Operations</h3>
<ul><li>Partner with software engineering teams to facilitate product releases, enhancements, and DevOps practices.</li>
<li>Align product operations with delivery timelines, ensuring seamless development-to-deployment workflows.</li>
<li>Collaborate on backlog management, sprint planning, capacity forecasting, and post-release retrospectives.</li>
<li>Support integration of engineering workstreams with cross-functional product and customer workflows.</li>
</ul><h3 class="jobSectionHeader">3. Business Process Model and Notation Platform (Decisions &amp; JIRA)</h3>
<ul><li>Lead initiatives to identify, prioritize the delivery of Decision platform business modules for compliance</li>
<li>Collaborate with product &amp; process owners and low-code engineers to define requirements, user stories, and delivery schedules.</li>
<li>Ensure the Decisions solution built is aligned with product requirements and long-term maintainability.</li>
<li>Oversee UAT planning, release cycles, and change adoption across user groups.</li>
</ul><h3 class="jobSectionHeader">4. Stakeholder Management &amp; Communication</h3>
<ul><li>Serve as the primary interface between technical teams and business stakeholders across operations, product, finance, and leadership.</li>
<li>Translate business requirements into actionable plans and align program delivery with evolving needs.</li>
<li>Provide transparent reporting and updates to stakeholders through dashboards, status meetings, and executive summaries.</li>
<li>Build trust and engagement by facilitating cross-team collaboration and delivering measurable outcomes.</li>
</ul><h3 class="jobSectionHeader">5. People Leadership &amp; Process Improvement</h3>
<ul><li>Lead and mentor cross-functional team members, including data engineers, developers, low-code engineers and automation specialists.</li>
<li>Promote continuous improvement across all areas of delivery, including agile practices, technical enablement, and team maturity.</li>
<li>Facilitate knowledge sharing and ensure resource capacity and skills alignment with organizational goals.</li>
</ul><h3 class="jobSectionHeader">6. Data Engineering &amp; Platform Operations</h3>
<ul><li>Oversee planning and execution of data infrastructure, pipelines, and engineering workflows for enterprise data products.</li>
<li>Work with data engineering teams to prioritize and deliver secure, scalable, and automated data systems.</li>
<li>Ensure best practices in data modeling, governance, testing, and deployment pipelines are applied consistently.</li>
<li>Coordinate with architecture and security teams to ensure compliance and performance of data platforms.</li>
<li>All other related duties assigned by the manager.</li>
</ul><h2 class="jobSectionHeader">Qualifications</h2>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related technical field.</li>
<li>6+ years of experience in program or project management in data engineering, software, or platform delivery environments.</li>
<li>Strong knowledge of Agile/Scrum methodologies, DevOps practices, and software development lifecycle (SDLC).</li>
<li>Familiarity with data platforms, infrastructure (e.g., Azure, Snowflake, PostgreSQL), and process automation tools (e.g., Decision, Salesforce, CPQ).</li>
<li>Proven experience managing multiple concurrent programs across technical and business domains.</li>
<li>Excellent organizational, interpersonal, and communication skills.</li>
<li>Agile or PMP certification preferred.</li>
</ul><h2 class="jobSectionHeader">Key Tools &amp; Technologies</h2>
<ul><li>Data &amp; Infrastructure: Azure, Snowflake, PostgreSQL, Python, SQL</li>
<li>Automation &amp; Ops: Appian, Salesforce, CPQ, Workday</li>
<li>Agile &amp; PM Tools: Jira, Confluence, Microsoft Project, Asana</li>
<li>DevOps &amp; CI/CD: Git, Jenkins, containerization tools (Docker/Kubernetes)</li>
</ul><h2 class="jobSectionHeader">Success Metrics</h2>
<ul><li>On-time, on-scope, and on-budget delivery of cross-functional technical programs</li>
<li>Improved automation of key manual processes across departments</li>
<li>Scalable and reliable data infrastructure supporting product operations</li>
<li>Increased engineering throughput and reduced operational friction</li>
<li>High stakeholder satisfaction and adoption of delivered systems</li>
</ul>
Send us your resume at careers@360factors.com mentioning the position in subject line.</div></div></div></div>

Program Manager – Data & Product Operation

ASK Development

A public sector organization invites application for career-oriented and experienced professional for the following position: Purpose of Position : Lead R&amp;D Specialist &ndash; Advanced Materials (PhD Applied Chemistry) (Senior Manager &ndash; Research &amp; Development)The incumbent, on a regular basis, is responsible for leading research and development initiatives to strengthen the corporation&rsquo;s products and their input components. It focuses on improving processes, enhancing formulations of raw materials, inks and papers and ensuring product durability, security and consistency. The role also involves optimizing manufacturing processes and translating innovative ideas into practical scalable solutions that enhance efficiency.Key responsibilities of the incumbent will include, but not limited to the following:1. Lead scientific research and development to improve inks, coatings, papers, substrates and other materials used in security printing.2. Explore and apply innovative technologies and processes to strengthen product quality, durability and anti-counterfeit features.3. Conduct chemical and material testing to validate product performance, consistency and reliability4. Plan, conduct and evaluate lab and machine-scale trails for alternate raw material and new product development.5. Investigate technical problems raised by operations and ensure timely resolution with practical solutions6. Supervise and monitor new and ongoing R&amp;D projects, ensuring optimal use of manpower, resources and equipment.7. Interact with departmental managers on development projects, gather technical feedback and align efforts with organizational priorities8. Collaborate with cross-functional teams (Product, Procurement, Security, Engineering, etc.) to integrate improvements and resolve technical challenges.9. Evaluate and qualify new supplies for raw materials, ensuring alignment with current and future product requirements.10. Assess requirements for advanced testing equipment and introduce new methods/tests to meet evolving organizational and industry needs.11. Ensure compliance with ISO standards, internal SOP and other industry-specific quality regulations.12. Ensure strict adherence to national and organizational security protocols for handling sensitive materials and processes.13. Maintain accurate and confidential records of research findings, test results, corrective actions and improvements measures.14. Support the General Manager in workforce planning, skill assessments and performance appraisal for staff engaged in R&amp;D and quality activities.Eligibility criteria:Education: PhD in Applied Chemistry from a reputed university recognized by Higher Education Commission (HEC). Candidates holding any foreign degree are required to submit an HEC Equivalence certificate.Age: Maximum 50 Years as on the last date of submission of application to PSPCNationality: Pakistani.Experience: At least 10 years of post qualification experience with 03 years in supervisory (mid level) capacity.Duty Station: KarachiNote: a. The corporation is an equal opportunity employer. Women are encouraged to apply.b. A market-based package as per corporation&rsquo;s policy will be offered.c. Service benefits including medical coverage for self and family, loans, gratuity, contributory PF, life insurance, bonus, leaves etc.d. Misinformation and any attempt to influence the selection process will be considered a definite disqualification at any stage of the process for current as well as for all future recruitments in the corporation, even if the candidates are otherwise qualified.e. Age limit may be relaxed by three years for the candidates for Ex FATA, Gilgit Baltistan, Balochistan and Azad Jammu and Kashmir.Application Question(s):<ul><li>what is your current salary package </li><li>Do you have 10 years of post qualification experience </li><li>Mention your DOB</li><li>Do you have 03 years experience in supervisory (mid level)</li></ul>Work Location: In person

Lead R&D Specialist – Advanced Materials (PhD Applied Chemistry)

UDPL

Job description:United Distributors Pakistan Limited, a leading agriculture pesticide &amp; Fertilizer Company is actively looking for Factory Manager. The factory manager will be responsible for overseeing end-to-end factory operations, ensuring efficient production, quality compliance, cost control, and adherence to safety and regulatory standards. The role requires strong leadership to optimize plant performance, manage cross-functional teams, and support business growth through operational excellence.Key Responsibilities<ul><li>Production &amp; Operations Management</li><li>Quality Assurance &amp; Compliance</li><li>Supply Chain &amp; Inventory Management</li><li>Health, Safety &amp; Environment (HSE)Team</li><li>Leadership &amp; Development</li><li>Cost Management &amp; Reporting</li><li>Maintenance &amp; Engineering Coordinationefficiency</li></ul>Eligibility:<ul><li>8&ndash;10 years of experience in manufacturing/plant operations, preferably in agrochemicals, chemicals, or related industry</li><li>Proven experience in managing factory operations and teams</li><li>EHQC Supervision</li><li>7 to 10 years of plant &amp; production process handling experience. (Preferably in chemical or agriculture pesticide company)</li><li>Age limit: Maximum 45 Years</li></ul>The selected candidate will be provided with a market-competitive salary and company benefits package. The candidates residing in Karachi and having experience in plant &amp; production facilities of the chemical or agricultur industry will be preferred.Education:<ul><li>Bachelor&rsquo;s degree in Chemistry, Applied Chemistry, Chemical Engineering, Industrial Engineering, or related field (Master&rsquo;s preferred)</li></ul>Work Location: In personPay: Rs100,000.00 - Rs200,000.00 per monthAbility to commute/relocate:<ul><li>Karachi: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>We are situated in Korangi Industrial Area, Karachi, are you comfortable to travel at the location ?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Factory Manager

Explore 271+ Applied data scientist in Karachi this April. Find roles across top companies and apply now to boost your career.

271 applied data scientist jobs In Karachi

Expert Data Scientist

Expert Data Scientist

Performance Management Lead – Human Resources

Biomedical Researcher – Research & Development (R&D)

Program Manager – Data & Product Operation

Lead R&D Specialist – Advanced Materials (PhD Applied Chemistry)

Factory Manager