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Data Science Us Remote In Pakistan Jobs (NOW HIRING)

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard ... At Deltek, we take immense pride in creating a balanced, values-driven environment, where every ...

JustMarkets

... data, traffic quality, and LTV trends * Experience with project management tools (Jira, Asana, or Confluence) to keep teams aligned and campaigns on track * Native Pakistan and fluent in business ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Reddit

Senior Data Scientist, Ads

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... For Ph.D. holders: 4+ years of industry experience in applied science or data science roles

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... allow for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Reddit

Staff Data Scientist, Ads

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... D. holders: 6+ years of industry experience in applied science or data science roles * Deep ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Reddit

Senior Data Scientist, Consumer

$190K - $267K/yr

US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is ... D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Revvity

Customer Support Specialist- Bioinformatics

OR · Remote

$70K - $80K/yr

... Remote - IN, US Remote - KS, US Remote - KY, US Remote - LA, US Remote - MA, US Remote - MD, US ... Join us as the go-to technical ally for Newborn Screening scientists and bioinformatics users. You ...

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Data Science Us Remote In Pakistan information

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$165K

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How much do data science us remote in pakistan jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data science us remote in pakistan in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a Data Science US Remote position in Pakistan involve?

A Data Science US Remote position in Pakistan typically involves working with data to analyze, interpret, and solve business problems for US-based companies while residing in Pakistan. The role may include tasks such as building predictive models, analyzing large datasets, and collaborating with remote teams to deliver data-driven insights. Communication is usually handled online, and strong skills in programming, statistics, and data visualization are essential. This job allows professionals in Pakistan to work with international clients, offering flexibility and exposure to global projects.

What are the key skills and qualifications needed to thrive as a Data Scientist working remotely from Pakistan?

To thrive as a Data Scientist working remotely from Pakistan, you need a solid background in statistics, programming (Python or R), and data analysis, usually supported by a degree in computer science, mathematics, or a related field. Proficiency with data science tools such as SQL, TensorFlow, scikit-learn, and experience with cloud platforms like AWS or Google Cloud, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication are essential soft skills for remote collaboration and project management. These abilities are critical for delivering actionable insights, maintaining productivity, and contributing effectively to global teams from a remote setting.

How do data science teams typically collaborate and communicate effectively in a remote work environment from Pakistan?

Data science teams working remotely from Pakistan often rely on a combination of collaborative tools such as Slack, Zoom, and project management platforms like Jira or Trello to maintain clear communication and track project progress. Regular stand-up meetings and code reviews are common practices to ensure alignment and knowledge sharing across team members, regardless of location. Being proactive in communication and documenting work thoroughly are especially important in a remote setup, as they help bridge time zone differences and keep projects on track.

What is the difference between Data Science Us Remote In Pakistan vs Data Analyst Us Remote In Pakistan?

AspectData Science Us Remote In PakistanData Analyst Us Remote In Pakistan
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often includes certifications like Certified Data ScientistBachelor's in Statistics, Economics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentRemote, collaborative teams, often with data engineering and machine learning tasksRemote, focused on data interpretation, reporting, and visualization
Industry UsageUsed across tech, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, retail, and consulting industries

While both roles are remote and involve working with data, Data Scientists in the US remote market in Pakistan typically require advanced skills in machine learning and data modeling, whereas Data Analysts focus more on data interpretation and reporting. Both roles are vital in data-driven industries but differ in complexity and technical depth.

Infographic showing various Data Science Us Remote In Pakistan job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Lead Data Scientist - US Remote

Lead Data Scientist - US Remote

Hexion, Inc.

Columbus, OH • On-site, Remote

Full-time

Posted 18 days ago

Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Job Responsibilities
  • Lead complex data science and machine learning initiatives supporting supply chain, manufacturing operations, capacity planning, demand forecasting, and operational decision-making.
  • Design, develop, and own advanced ML solutions - including predictive models, time-series forecasting, optimization, and decision-support systems - scoped to supply chain and manufacturing use cases.
  • Build, train, evaluate, and interpret machine learning models (regression, classification, clustering, forecasting) to quantify supply chain drivers, surface optimization opportunities, and improve operational outcomes.
  • Develop and operationalize analytics and ML solutions using Databricks (Python / SQL / PySpark) for large-scale data processing, model development, and experimentation.
  • Design and build multi-agent AI systems - including orchestrator-executor architectures, tool-calling agents, and RAG-based decision support - using frameworks such as Azure AI Foundry, AutoGen, Semantic Kernel, or LangChain/LangGraph.
  • Implement and extend solutions using the MCP to enable AI agents to access and act on enterprise data systems in supply chain and manufacturing contexts.
  • Apply data science best practices including feature engineering, model validation, performance monitoring, reproducibility, and documentation.
  • Partner with Supply Chain & Procurement leadership, Manufacturing Ops, Process Engineering, Demand Planning, and IT to translate ambiguous business problems into structured ML and AI approaches.
  • Develop and maintain self-service, automated, and AI-enabled analytics workflows that reduce manual effort and improve decision latency.
  • Leverage Azure AI Foundry, Microsoft Copilot Studio, and Microsoft 365 Copilot extensibility to prototype and deploy AI-powered analytics and agent-based decision-support tools.
  • Produce executive-ready insights through clear storytelling, visualizations, and recommendations using Power BI or embedded analytics.
  • Set technical direction, establish reusable ML and AI frameworks, and mentor junior and mid-level data scientists across the team.
  • Ensure high standards of data quality, governance, model validation, and explainability.

Minimum Qualifications
Education & Experience (one of the following):
  • Master's degree in Statistics, Mathematics, Industrial Engineering, Data Science, Computer Science, Engineering, or a related quantitative field with 5+ years of relevant data science/analytics experience, OR
  • Bachelor's degree in the same or related fields with 8+ years of relevant data science / analytics experience.

Technical:
  • Demonstrated track record delivering advanced ML and data science solutions in supply chain, manufacturing, or industrial domains.
  • Strong hands-on experience with machine learning and statistical modeling - development, interpretation, and operational business application.
  • Strong proficiency in Databricks (Python, SQL, PySpark, Delta Lake).
  • Hands-on experience with the MCP - building or consuming MCP servers/clients to connect AI agents to enterprise data systems, APIs, or ERP modules.
  • Hands-on experience with multi-agent system design - architecting multi-agent systems using AutoGen, Semantic Kernel, LangChain/LangGraph, or Azure AI Agent Service; orchestrator-executor patterns, tool calling, memory management, and agent coordination.
  • Compulsory - must have hands-on experience with one or more of the following:
    • Azure AI Foundry
    • Microsoft Copilot Studio
    • Microsoft 365 Copilot extensibility
    • Microsoft Power Platform (Power Automate, Power BI)
  • Ability to translate complex business problems into ML / AI solutions and communicate findings to both technical and executive audiences.
  • Strong stakeholder management and cross-functional collaboration skills.

Preferred Qualifications
  • Experience operationalizing ML models into production in supply chain or manufacturing environments.
  • Familiarity with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, PM, SD).
  • Strong Power BI experience - semantic modeling, performance optimization, executive dashboard design.
  • Exposure to MLOps on Azure (Azure ML, MLflow, Databricks Asset Bundles, CI/CD for analytics artifacts).
  • Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime).
  • Experience with statistical / simulation methods (Monte Carlo, scenario analysis, sensitivity analysis) applied to operations and supply chain.
  • Familiarity with Palantir Foundry (pipelines, ontology, Workshop, AIP).
  • Proven experience mentoring data scientists or leading end-to-end analytics initiatives.
  • Familiarity with cloud-native data architectures and governed data platforms.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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