128 Data Mining jobs in Pakistan

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

• 3+ years of experience as a Data Engineer or in a similar role.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.).
• Experience with Big Data tools , platforms and architecture with solid working experience with SQL.
• Experience working in a very large data warehousing environment, Distributed System.
• Solid understanding on various data exchange formats and complexities.
• Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
• Strong data visualization skills.
• Basic understanding of Machine Learning; Prior experience in ML Engineering a plus.
• Ability to manage on-premises data and make it inter-operate with AWS based pipelines.
• Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus.

Education:

• Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline.
• Preferred Qualifications: Masters in CS/ECE with a Data Science / ML Specialization.

Principal Duties and Responsibilities:

• Completes assigned coding tasks to specifications on time without significant errors or bugs.
• Adapts to changes and setbacks in order to manage pressure and meet deadlines.
• Collaborates with others inside project team to accomplish project objectives.
• Communicates with project lead to provide status and information about impending obstacles.
• Quickly resolves complex software issues and bugs.
• Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions.
• Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently.
• Participates in technical conversations with tech leads/managers.
• Anticipates and communicates issues with project team to maintain open communication.
• Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks.
• Prioritizes project deadlines and deliverables with minimal supervision.
• Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues).
• Writes readable code for large features or significant bug fixes to support collaboration with other engineers.
• Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner.
• Unit tests own code to verify the stability and functionality of a feature.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.

If you would like more information about this role, please contact Qualcomm Careers.

Qualifications: Bachelors or Masters degree in Computer Science, Statistics, or a related field.

Job Description: Data Science Position at Corvit Systems Multan.

About Company:
Corvit Systems is a leading provider of IT training in Multan. We offer courses from world-renowned vendors such as Cisco, Huawei, Juniper, Microsoft, VMware, Aruba, and Red Hat. Our training covers various domains including Routing, Switching, Security, Voice, Wireless, Data Center, Service Provider, Operating System, Virtualization, and Exchange Server/Email Server. We foster an encouraging and supportive environment that enhances the perception and technical intellect of individuals. Our goal is to unlock the inner potential of students and develop a competitive edge in the professional world.

1. Apply advanced statistical and machine learning techniques to analyze large datasets and extract valuable insights.
2. Develop predictive models and data-driven solutions to optimize business processes and drive decision-making.
3. Collaborate with cross-functional teams to identify and prioritize data science opportunities and challenges.
4. Clean, preprocess, and transform raw data to ensure accuracy and reliability.
5. Communicate complex findings and methodologies to both technical and non-technical stakeholders.
6. Stay up-to-date with the latest advancements in data science and relevant tools and technologies.
7. Use data visualization techniques to present results in a clear and meaningful way.

1. Strong analytical and problem-solving abilities with a keen eye for detail.
2. Proficiency in programming languages such as Python or R, and SQL.
3. Experience with statistical analysis, machine learning algorithms, and data visualization tools.
4. Solid understanding of data manipulation, data cleansing, and feature engineering techniques.
5. Excellent communication and presentation skills to convey complex information to diverse audiences.
6. Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
7. Strong business acumen and the ability to translate business requirements into data science solutions.

Karachi

Remote

One-year contractual role

We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in
the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning
techniques to derive actionable insights from large datasets, optimizing business decisions and
strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for
developing predictive models, improving customer experience, and enhancing operational efficiency.

Description

• Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address
  business needs, with a focus on customer segmentation, churn prediction, fraud detection, and
  risk management in the banking and telecom sectors.
• Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights
  that drive business strategies in banking and telecom operations.
• Integrate and process large datasets from various sources (e.g., transactional data, customer
  behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data
  processing and analysis.
  
• Apply machine learning algorithms and artificial intelligence techniques to develop models that
  enhance customer experience, optimize marketing campaigns, and improve operational
  efficiency.
• Present findings and insights through clear and actionable visualizations and reports using SAS
  Visual Analytics and other reporting tools, making complex data accessible to stakeholders.
• Continuously improve model performance by fine-tuning algorithms and optimizing data
  workflows to handle large volumes of data efficiently.

Requirements

• 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience
  working in banking and telecom sectors.
• Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and
  Machine Learning, and SAS Cloud Analytics).
• Experience with predictive modeling, statistical analysis, and machine learning algorithms in
  both sectors.
• Excellent communication skills, with the ability to translate technical findings into business
  insights for non-technical stakeholders.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

1. Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling.
2. Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes.
3. Oversee the design and implementation of innovative data science projects that drive value for the organization.
4. Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency.
5. Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights.
6. Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results.
7. Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels.
8. Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate.

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.

Faisalabad, Pakistan | Posted on 12/19/2024

We are seeking a skilled and motivated Data Scientist with 1-2 years of experience to join our growing team. The ideal candidate will work on analyzing complex datasets, building predictive models, and delivering actionable insights to support business decisions.

Responsibilities:

• Analyze large and complex datasets to identify trends, patterns, and insights.
  
• Develop and implement machine learning models to solve business problems.
  
• Perform data preprocessing, cleaning, and transformation.
  
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
  
• Visualize data and create dashboards to present findings effectively.
  
• Document processes, methodologies, and outcomes for scalability and knowledge sharing.
  
• Stay updated with emerging trends and technologies in data science and machine learning.

• Bachelor's degree in computer science, data science, or a related field.
  
• Proven experience with data analysis and machine learning techniques.
  
• Proficiency in programming languages such as Python or R.
  
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  
• Familiarity with databases and query languages (e.g., SQL).
  
• Strong knowledge of statistical methods and predictive modelling.
  
• Excellent problem-solving and analytical skills.
  
• Strong communication and teamwork abilities.
  

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling.
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes.
• Oversee the design and implementation of innovative data science projects that drive value for the organization.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency.
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights.
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results.
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels.
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position.
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries.
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment.
• Strong analytical and problem-solving skills with attention to detail.
• Exceptional communication skills, both verbal and written, in English and Arabic.
• Proven capability to drive collaboration across teams and influence senior stakeholders.

Preferable Certificates:

• Certified Data Scientist (CDS).
• Microsoft Certified: Azure Data Scientist Associate.
• Google Cloud Professional Data Engineer.