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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

CareCloud

Key Responsibilities:<ul><li>Develop, maintain, and optimize ETL/ELT data pipelines.</li><li>Extract, transform, and load healthcare data from multiple sources (EHR/EMR systems, billing systems, APIs, etc.).</li><li>Design and maintain databases, data warehouses, and data models.</li><li>Ensure data quality, integrity, and validation across systems.</li><li>Write efficient SQL queries for data extraction and reporting.</li><li>Collaborate with BI developers, analysts, and software engineers to deliver reliable datasets.</li><li>Support data integration with third-party healthcare systems.</li><li>Monitor and troubleshoot data pipeline issues.</li><li>Ensure compliance with healthcare regulations (e.g., HIPAA) and data security standards.</li><li>Maintain proper documentation of data processes and workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or related field.</li><li>1&ndash;2 years of hands-on experience in data engineering or data development.</li><li>Strong SQL skills and experience with relational databases (MySQL, PostgreSQL, SQL Server, etc.).</li><li>Basic understanding of data warehousing concepts and data modeling.</li><li>Experience with ETL tools or scripting (Python, Airflow, SSIS, or similar).</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Understanding of APIs and data integration techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

Data Engineer

Skylink Distributions (Pvt.) Ltd

The ideal candidate should have 3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.Key ResponsibilitiesData Management &amp; Analysis<ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul>Data Visualization &amp; Reporting<ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul>Leadership &amp; Strategy<ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul>Data Engineering &amp; Infrastructure Collaboration<ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul>Cross-Functional Collaboration<ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul>ERP &amp; Business Intelligence Integration<ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul>Core Competencies<ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul>Job Type: Full-timeWork Location: In person

Data Science Analyst

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
 <li>
 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
 </li>
 <li>
 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
 </li>
 <li>
 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
 <li>
 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
 </li>
 <li>
 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
 </li>
 <li>
 Ensure reliable, secure, and governed data integration across multiple sources.
 </li>
 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
 <ul>
 <li>
 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
 </li>
 <li>
 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
 </li>
 <li>
 Establish best practices for data governance, documentation, and compliance.
 </li>
 <li>
 Maintain data integrity before downstream reporting and dashboard consumption.
 </li>
 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
 </li>
 <li>
 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
 </li>
 <li>
 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
 </li>
 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
 <ul>
 <li>
 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
 </li>
 <li>
 Drive continuous improvement initiatives across data engineering processes.
 </li>
 <li>
 Promote scalable design patterns and performance optimization strategies.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 
 Snowflake
 
 data warehouse environments
 </li>
 <li>
 
 Informatica
 
 (or similar ETL tools)
 </li>
 <li>
 SQL (advanced querying &amp; performance optimization)
 </li>
 <li>
 Data modelling &amp; data warehousing concepts
 </li>
 <li>
 SFTP-based data integrations
 </li>
 <li>
 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
 </li>
 <li>
 Strong understanding of data governance, validation frameworks, and quality controls.
 </li>
 <li>
 Experience supporting BI tools such as Tableau.
 </li>
 <li>
 Proficiency in Python for data processing and automation.
 </li>
 <li>
 Experience working with ERP and CRM data sources is preferred.
 </li>
 <li>
 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

<div>
 
 ibex digital, hiring for one of its global clients:
 
 
 
 
 
 In this role, you will support the development of data-driven visibility, monitoring, and analytics tools across a large-scale service provider network. This position is ideal for recent graduates with strong interests in data science, network automation, and web portal development. You will work closely with experienced engineers to build dashboards, automate workflows, integrate telemetry sources, and enhance the organization&rsquo;s overall network observability capabilities. The role provides broad exposure to networking technologies, software development, and operational analytics.
 
 
 
 
 
 What You&rsquo;ll Do Technical Architecture &amp; Implementation
 
 
 <ul>
 <li>
 Assist in deploying and improving monitoring dashboards using Splunk, ScienceLogic, IP Fabric, Grafana, or internal platforms.
 </li>
 <li>
 Help build and maintain full-stack portal features, including front-end components and backend data services.
 </li>
 <li>
 Integrate telemetry from network devices, APIs, logs, and databases into analytic workflows.
 </li>
 <li>
 Support multi-vendor environments by validating monitoring coverage for Cisco, Juniper, Arista, and Fortinet devices.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Learning
 
 
 <ul>
 <li>
 Work closely with senior engineers on observability pipelines, dashboards, and automation tools.
 </li>
 <li>
 Participate in code reviews, design discussions, and team learning sessions to grow your technical skills.
 </li>
 <li>
 Contribute to internal documentation and knowledge-sharing resources.
 </li>
 </ul>
 
 
 
 
 
 Incident Response &amp; Performance Optimization
 
 
 <ul>
 <li>
 Analyze alerts and telemetry to help identify anomalies and performance issues.
 </li>
 <li>
 Assist in creating datasets and visualizations for post-incident reviews.
 </li>
 <li>
 Help refine alerting thresholds, log parsing, and monitoring logic to improve signal quality.
 </li>
 </ul>
 
 
 
 
 
 Automation &amp; Process Innovation
 
 
 <ul>
 <li>
 Develop Python scripts, API integrations, and Ansible playbooks to automate operational tasks.
 </li>
 <li>
 Contribute to CI/CD workflows that support observability tools and portal components.
 </li>
 <li>
 Help design scalable pipelines for data ingestion, normalization, and visualization.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Need Technical Foundation
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Computer Engineering, Information Systems, or related field.
 </li>
 <li>
 Working proficiency in Python, including pandas, NumPy, API integration, and automation scripting.
 </li>
 <li>
 Basic understanding of databases (SQL and/or NoSQL) and data modeling.
 </li>
 <li>
 Foundational networking knowledge (IP addressing, routing basics, VLANs, common protocols).
 </li>
 <li>
 Exposure to data visualization tools (Grafana, Splunk, Tableau, Kibana, Jupyter, etc.).
 </li>
 <li>
 Interest in or experience with portal/web development (React, Angular, Vue, Django, Flask, Node.js).
 </li>
 <li>
 Comfortable using Linux environments and Git.
 </li>
 </ul>
 
 
 
 
 
 Strategic Capabilities
 
 
 <ul>
 <li>
 Strong interest in modern observability tools, telemetry pipelines, and data-driven monitoring.
 </li>
 <li>
 Ability to analyze datasets, identify trends, and propose ideas based on data insights.
 </li>
 <li>
 Curiosity about cloud networking, telemetry standards, automation, and network analytics.
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 <ul>
 <li>
 Analytical Thinking: Ability to interpret data and identify patterns or anomalies.
 </li>
 <li>
 Technical Curiosity: Desire to learn networks, automation, and observability frameworks.
 </li>
 <li>
 Problem-Solving: Breaks down complex problems with guidance from senior engineers.
 </li>
 <li>
 Collaboration: Works effectively with cross-functional teams.
 </li>
 <li>
 Communication: Able to present findings clearly to technical peers and stakeholders.
 </li>
 </ul>
</div>

Network Observability Engineer

MonetizeMore

<div><h3 class="jobSectionHeader">About MonetizeMore</h3>
MonetizeMore is a leading ad tech company dedicated to empowering publishers with state-of-the-art ad monetization technology and strategies. We are a globally distributed, remote-first team driven by data, innovation, and a passion for helping our partners succeed.<h3 class="jobSectionHeader">
The Role</h3>
We are looking for a highly skilled and communicative Business Intelligence (BI) Analyst to join our growing Data Team. In this role, you will be the bridge between our raw data and our internal business stakeholders. You will own our Metabase environment, ensuring it remains organized, efficient, and accessible. If you have a knack for translating complex business kakatrequirements into actionable dashboards, writing highly optimized SQL, and collaborating with Data Engineering teams to build robust pipelines, we want you on our team!<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Stakeholder Collaboration: Act as the primary point of contact for internal teams (Product, Sales, Marketing, etc.) to gather data requirements, understand their goals, and translate them into technical deliverables.</li><li>
Dashboard Creation &amp; BI Management: Design, build, and maintain intuitive and actionable dashboards. Own the administration of Metabase, ensuring the platform remains structured, performant, and easy for non-technical users to navigate.</li><li>
Advanced SQL Development: Write, optimize, and troubleshoot complex SQL queries to extract valuable insights from our databases.</li><li>
Cross-Functional Teamwork: Collaborate closely with Data Engineers to identify gaps in our data. Clearly define and document requirements for new data pipelines and data models to support your reporting needs.</li><li>
Data Quality &amp; Governance: Proactively identify data discrepancies and work with the broader data team to ensure accuracy, consistency, and reliability across all reporting.</li></ul><h3 class="jobSectionHeader">
What We&rsquo;re Looking For</h3><ul><li>
Experience: 2+ years of experience as a BI Analyst, Data Analyst, or in a similar data-centric role.</li><li>
Technical Skills: * Advanced proficiency in SQL (ability to write complex joins, window functions, and optimize queries).<ul><li>
Hands-on experience administering and building reports in Metabase (experience with similar tools like Tableau, Looker, or PowerBI is a plus, but Metabase is heavily preferred).</li></ul></li><li>
Communication: Exceptional verbal and written communication skills with a proven track record of effectively managing internal stakeholders and gathering technical requirements.</li><li>
Data Intuition: A solid understanding of how data pipelines function and experience working alongside Data Engineers to design data models.</li><li>
Problem-Solving: A proactive mindset with a keen eye for detail and data accuracy.</li></ul><h3 class="jobSectionHeader">
Bonus Points</h3><ul><li>
Experience working in the Ad Tech industry.</li><li>
Familiarity with cloud data warehouses (e.g., AWS Athena, BigQuery).</li><li>
Experience working in a remote, globally distributed team.</li></ul><h3 class="jobSectionHeader">
Why Join Us?</h3><ul><li>
Flexible, remote work environment.</li><li>
Opportunity to take ownership of a critical BI platform.</li><li>
Collaborative and supportive global team culture.</li><li>
Competitive compensation and benefits package.</li></ul>
zaz7pgSCSu</div>

Business Intelligence Analyst

VIDIZMO LLC

<div>We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that&rsquo;s at the forefront of AI innovation, this is your chance to hit the ground running. 
VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance. 
Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection. 

AI Output Verification &amp; Accountability (Required Competency) 
The candidate must be capable of effectively using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to support work outputs such as content, analysis, documentation, or code. However, the candidate must also demonstrate strong judgment and ownership of the final deliverables. AI-generated output must never be treated as final without review. The candidate is expected to validate accuracy, completeness, logic, compliance, and alignment with business requirements, and refine AI-assisted work to meet the expected quality standards. The individual will be held accountable for the final output, regardless of whether AI tools were used during execution. 
Responsibilities:
<ul><li>Developing, testing, and deploying machine learning algorithms to enhance VIDIZMO Cognitive &amp; Computer Vision Artificial Intelligence Capabilities &amp; Features. 
</li>
</ul><ul><li>Perform in-depth vulnerability assessments and penetration tests on systems, networks, and applications to uncover security weaknesses and potential threats.</li>
<li>Responsibility for reviewing and validating AI-generated outputs</li>
<li>Ownership of final deliverables, regardless of AI assistance</li>
<li>Ability to critically evaluate AI results and ensure they meet defined requirements</li>
<li>Accountability for accuracy, quality, and compliance 
</li>
<li>Able to create and explain your own customized solutions for specific problems such as customized neural networks, loss functions, optimizers, metrics. 
</li>
<li>Develop Applications and integrations with open-Source Computer Vision and Cognitive Artificial Intelligence Services.</li>
<li>Perform research, development and implementation of algorithms for image processing and computer vision. 
</li>
<li>Perform qualitative and quantitative analysis of models developed. 
</li>
<li>Stay tuned to the forefront of technology research. 
</li>
<li>Proven contribution to design, development and scaling of high quality, practical reliable software.</li>
<li>Participate in ownership of a system that will be a core component of our machine vision and image analysis products.</li></ul> 


Essential Skills:
<ul>
<li>Programming experience with at least one modern language such as Python, C#, or C++ including object-oriented design.</li>
<li>Hands-on experience with Deep Learning framework Pytorch or TensorFlow. 
</li>
<li>Experience in Computer Vision and Video analytics algorithms such as detection, classification, recognition, segmentation and tracking.</li>
<li>Experience in scaling and fine-tuning existing models</li>
<li>Ability to partake in Deep Learning architectural discussions and drive technical decision making</li></ul> 


Preferred Skills:
<ul>
<li>Hands-on experience on datasets related to video &amp; audio</li>
<li>Preferred development experience in Backend technologies i.e. C#, C,C++, ASP.NET</li>
<li>Proven expertise in MLOps workflows, including containerization with Docker and development within Linux environments. 
</li>
<li>Experience in developing Transformer and CNN-based applications.</li>
<li>Knowledge of NLP 
</li>
</ul><ul><li>Knowledge of object-oriented and functional design principles, and best practice patterns.</li></ul> 


Requirements:
<ul>
<li>Minimum Bachelor's degree or above in Computer Science</li>
<li>Can work independently and have a go-getter attitude</li>
</ul><ul><li>3+ years industry experience in Machine Learning &amp; Deep Learning framework and working with large data sets and system</li>
<li>Authorized to Work Legally</li></ul> 
 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus 

Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA (benefits vary based on location)</div>

AI Engineer

Explore 522+ Data scientist in Karachi this March. Find roles across top companies and apply now to boost your career.

522 data scientist jobs In Karachi

Expert Data Scientist

Data Engineer

Data Science Analyst

Data Engineer

Network Observability Engineer

Business Intelligence Analyst

AI Engineer