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Data Science Specialist (Remote)
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
Dina, Pakistan
Work mode:
Remote
Published on:
3 September 2026
What they need
- Role: Data Science Specialist (Remote)
- Location: Remote (Work from Anywhere)
- Job Type: Contract
- Payout: $245 - $280/hour
Role Overview:
We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to enhance decision-making processes. You will collaborate with cross-functional teams to identify data-driven solutions for complex business problems.
Key Responsibilities:
- Design, build, and validate predictive models using statistical and machine learning techniques.
- Clean, preprocess, and analyze large datasets to extract actionable insights.
- Develop and maintain scalable data pipelines for efficient data processing.
- Collaborate with stakeholders to define project requirements and deliver measurable outcomes.
- Document methodologies, findings, and recommendations for technical and non-technical audiences.
Required Skills & Qualifications:
- Proficiency in Python or R for data analysis and modeling.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong background in statistics, probability, and experimental design.
- Familiarity with SQL and database management for data extraction and manipulation.
- Ability to work with big data tools like Spark or Hadoop is a plus.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment.
- Excellent problem-solving and communication skills to translate data insights into business strategies.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of AI-driven solutions. The position focuses on solving real-world problems with measurable impact.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
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