Senior Data Scientist (G-2) jobs at Pakistan Single Window (PSW) 2024

@ Pakistan Single Window (PSW)

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🏢 Government Job

🎓 Bachelor Degree

🌏 Apply Online

♀ Encourages Females

📍 Pakistan

Description:

Main Responsibilities:

• Work with stakeholders across the organization to identify opportunities to leverage enterprise data to drive business solutions.
• To mine and analyze data from corporate databases to drive optimization and improvement of product development, marketing methods, and business strategies.
• Evaluate the effectiveness and accuracy of new data sources and data collection techniques.
• Develop custom data models and algorithms to apply to your datasets.
• Use predictive modeling to improve and optimize customer experience, revenue generation, ad targeting, and other business outcomes.
• Develop your company\'s A/B testing framework and test model quality. Coordinate with various functional teams to implement models and monitor results.
• Develop processes and tools for monitoring and analyzing model performance and data accuracy.

Qualifications and Skills:

• Bachelor's degree in computer science, statistics, mathematics or a related field (preferred)
• Minimum 3+ years of experience in the relevant field.
• Proven experience in ETL/ELT, Oracle Data Integrator (ODI) is preferred.
• Strong analytical thinking and problem-solving capabilities
• Effective communication and interpersonal skills
• Strong SQL queries, data modelling concepts are mandatory.
• Data mining through state-of-the-art methods.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Experience working with ML/DL frameworks like Scikit-Learn, TensorFlow, Keras, PyTorch, etc. as well as a firm grip over modern state-of-the-art and good-to-have NLP architectures such as BERT, GPT3/GPT4, Reformer, RNNs, CNNs, LSTMs, etc. and vector space models such as GloVe, Word2vec, USE, etc.
• Good to have Familiarity with Model Serving APIs like, Django, Flask & StreamLit. Peer-reviewed publications in topics of advanced data science, machine learning, deep learning, or NLP.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications.
• Expert knowledge and Experience in working on conventional Computational Linguistics problems such as Syntactic Processing, Word Sense Disambiguation, Context-Free grammar, Lexical Semantics, Quantification, Plurality, etc.
• Expert knowledge and Experience in working on conventional NLP problems like Informational Retrieval, Relevance Ranking, and Search, Question-Answer Generation, Natural Language Inference, Topic Modeling, Unstructured Text Pipelines/Modeling, Anomaly Detection, Text Summarization, etc.
• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• A drive to learn and master new technologies and techniques. Certifications in the relevant domain and demonstratable experience in research and development are a plus.
• Good to have peer-reviewed publications on topics of advanced data science, machine learning, deep learning, or NLP

Qualification:

• Bachelor's degree in computer science, statistics, mathematics or a related field (preferred)

Employment Type:

This job offered by Pakistan Single Window (PSW) is a Full-Time position. The possible benefits of Full-time positions include: Stability, Growth, and More

Applications begins on:

The interested candidates/ job seekers can apply for the post of Senior Data Scientist (G-2) at Pakistan Single Window (PSW) from September 08, 2024

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Last Date to Apply:

The last date to apply for the post of Senior Data Scientist (G-2) at Pakistan Single Window (PSW) is September 14, 2024.

For more details, visit:

View detailed information about the job Senior Data Scientist (G-2) (Pakistan Single Window (PSW))

How To Apply:

• Apply online on given link below.

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Tags: Computer Science, Data Science, Development, G-2, Machine Learning, preferred, Regular, Research

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