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senior data scientist

PackageX

<div><div>About PackageX</div><div>
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.</div><div>
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.</div><div>
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div><div>
What we are looking for</div><div>
We&rsquo;re looking for a hands-on data scientist with experience in building scalable analytics and machine-learning systems, who is fluent in Python (Pandas, NumPy), SQL, and ML/DL frameworks such as TensorFlow, PyTorch or Keras, with practical knowledge of NLP, computer vision and modern modeling techniques. You should be comfortable building backend services and RESTful APIs using Django/Flask, working with Docker and Git/GitHub, and deploying on cloud platforms (AWS/GCP) while using SQL Server, MongoDB or similar DBMS. The role involves designing data models, ETL pipelines and data warehouses, integrating enterprise BI/visualization tools (Tableau, Power BI, Matplotlib/Seaborn), and applying repeatable automation, testing and CI/CD practices. Ideal candidates have experience on distributed engineering teams, can move quickly on bug fixes and enhancements, communicate clearly, bring innovative solutions to tough problems, and have weathered high-pressure projects with lessons learned.</div><div>
</div><div>
You will:</div><ul><li> Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics &amp; machine learning capabilities.</li><li> Build out frameworks and services for our Machine Learning services, systems, and dashboards.</li><li> Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.</li><li> Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc</li><li> Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics</li><li> Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.</li><li> Work with and help implement data models/data schema&rsquo;s for data scientists &amp; data analyst to build visualizations &amp; statistical/predictive models.</li></ul><div></div><div> 
</div><div>
We are looking for someone who has:</div><ul><li> At least 3+ years of experience working as a data scientist</li><li> Expertise in Python, SQL, Pandas, NumPy</li><li> Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch</li><li> Understanding about depth and breadth of computer vision, NLP and deep learning algorithms</li><li> Extensive expertise in Django, Flask</li><li> Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS &amp; GCP</li><li> Been part of a distributed software engineering team</li><li> Experience with RESTful APIs and server-side APIs integration</li><li> Worked with Docker or other containerization software</li><li> Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms</li><li> Experience in designing Data Models (Data schema)</li><li> Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle</li><li> Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale</li><li> Been on at least one &ldquo;death march&rdquo; and know exactly why some things are to be avoided.</li><li> Excellent communication and interpersonal skills, taking the initiative to recommend and develop innovative solutions</li><li> Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)</li><li> Experience Working with AI/Analytics teams</li><li> Worked for visualization development on Enterprise Tools (Tableau, Power BI)</li><li> Worked on integration of Enterprise BI tools</li><li> Understanding of data mining &amp; machine learning concepts</li></ul><div>
</div><div>
What can you expect from the application process?</div><div>
All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div></div>

Senior Data Scientist

convo

<div><div>Job Summary</div><div> 
We are seeking a talented and experienced Data Scientist with strong expertise in machine learning to join our dynamic team. The ideal candidate will have a solid background in software development, extensive experience with Python, and a proven track record in developing and deploying machine learning models. You will work collaboratively with our data science and engineering teams to build scalable machine learning solutions that drive our business forward.</div><div></div><div> 
Required qualifications</div><ul><li>
Master's degree in Computer Science, Statistics, Mathematics, or a related field (preferred).</li><li>
4+ years of relevant work experience in Data Management, Data Science, Analytics or BI (Must).</li><li>
Design, develop, and deploy ML/DL models for forecasting, NLP, computer vision, and recommendation systems.</li><li>
Strong proficiency in Python programming with experience in data analysis libraries (e.g. NumPy, Pandas, Matplotlib) and familiarity with data manipulation techniques. (Must)</li><li>
In-depth knowledge of machine learning algorithms (e.g. supervised learning - linear regression, random forests, support vector machines, unsupervised learning - k-means clustering, principal component analysis, deep learning - convolutional neural networks, recurrent neural networks). (Must)</li><li>
Experience with cloud platforms (e.g. AWS SageMaker, GCP AI Platform, Azure Machine Learning) for model training and deployment (a plus).</li><li>
Stay updated on the latest advancements in ML, and data science tools/techniques.</li><li>
Experience with version control systems (Git) and familiarity with continuous integration/continuous delivery (CI/CD) pipelines.</li><li>
Experience with database technologies (SQL and NoSQL) for data storage and retrieval (a plus).</li><li>
Working knowledge of Linux operating systems and familiarity with the command line.</li></ul><div>
What We Have For You</div><div>
Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Bi-annual performance-tied increments &amp; performance recognition awards and a great lean and agile work culture! 
</div><div>
Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!</div></div>

Convo

<div>
 
 Job Summary
 
 
 
 We are seeking a talented and experienced
 
 Data Scientist
 
 with strong expertise in machine learning to join our dynamic team. The ideal candidate will have a solid background in software development, extensive experience with Python, and a proven track record in developing and deploying machine learning models. You will work collaboratively with our data science and engineering teams to build scalable machine learning solutions that drive our business forward.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related field (preferred).
 </li>
 <li>
 4+ years of relevant work experience in Data Management, Data Science, Analytics or BI (Must).
 </li>
 <li>
 Design, develop, and deploy ML/DL models for forecasting, NLP, computer vision, and recommendation systems.
 </li>
 <li>
 Strong proficiency in Python programming with experience in data analysis libraries (e.g. NumPy, Pandas, Matplotlib) and familiarity with data manipulation techniques. (Must)
 </li>
 <li>
 In-depth knowledge of machine learning algorithms (e.g. supervised learning - linear regression, random forests, support vector machines, unsupervised learning - k-means clustering, principal component analysis, deep learning - convolutional neural networks, recurrent neural networks). (Must)
 </li>
 <li>
 Experience with cloud platforms (e.g. AWS SageMaker, GCP AI Platform, Azure Machine Learning) for model training and deployment (a plus).
 </li>
 <li>
 Stay updated on the latest advancements in ML, and data science tools/techniques.
 </li>
 <li>
 Experience with version control systems (Git) and familiarity with continuous integration/continuous delivery (CI/CD) pipelines.
 </li>
 <li>
 Experience with database technologies (SQL and NoSQL) for data storage and retrieval (a plus).
 </li>
 <li>
 Working knowledge of Linux operating systems and familiarity with the command line.
 
 
 </li>
 </ul>
 
 What We Have For You
 
 
 
 Great compensation package, provident fund, paid leaves, EOBI, medical benefits for you and your family, free lunch, Bi-annual performance-tied increments &amp; performance recognition awards and a great lean and agile work culture!
 
 
 Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!
</div>

S&P Global

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-09-09
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

Rapid Labs

Senior Machine Learrning EngineerRapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!Job Overview:We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team during the night shift. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, agentic-ai and software development.Key Responsibilities:<ul><li>Lead the design and implementation of machine learning models and algorithms.</li><li>Collaborate with data scientists, engineers, and product managers to integrate models into production systems.</li><li>Optimize and scale machine learning models for performance and reliability.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Stay up-to-date with the latest research and advancements in machine learning and AI.</li><li>Mentor junior engineers and contribute to the overall growth of the ML team.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Mathematics, or a related field.</li><li>Experience: Minimum of 5 years of experience in machine learning, data science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python</li><li>Strong knowledge of machine learning frameworks</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Hands-on experience on agentic frameworks such as LangChain, LangGraph, and MCP servers.</li><li>LLM and Agentic Applications evaluation techniques and stacks</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li></ul>Soft Skills: Strong problem-solving and analytical skills.<ul><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</li><li>Adaptability to night shift working hours.</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Company-sponsored courses for continuous learning and career growth</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Blue Area IslamabadOffice Hours: 05:00 PM to 02:00 AM (Monday to Friday) &ndash; US ShiftJob Type: Full-timeApplication Question(s):<ul><li>How many years of full-time professional experience do you have working as an AI/ML Engineer?</li><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days of notice period are you required to serve with your current employer?</li><li>Do you have hands-on experience deploying AI/ML models into production environments?</li><li>Have you used containerization or orchestration tools (e.g., Docker, Kubernetes) for ML model deployment?</li><li>Do you have experience deploying models on cloud platforms such as AWS, Azure, or GCP?</li><li>Have you managed the end-to-end lifecycle of an ML model (training, deployment, monitoring)?</li><li>Do you have experience with CI/CD pipelines for ML model deployment?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Islamabad (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

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414 senior data scientist jobs IN Islamabad

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior AI/ML Engineer

Senior AI/ML Engineer