Senior Data Scientist / Lead Data Scientist
Pakistan Revenue Automation (Pvt) Ltd
Islamabad , Pakistan
Posted Jul 26, 2020 3 views
We are looking for a Lead Data Scientist to lead a technical team and help us gain useful insight out of raw data.Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytics models.
You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you.
Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.
Your future duties and responsibilities:
- Planning data projects
- Building data products including (but not limited to) analytic systems and predictive models
- Managing a team of data scientists, machine learning engineers and big data specialists
- Lead data mining and collection procedures
- Ensure data quality and integrity
- Interpret and analyse data problems
- Conceive, plan and prioritize data projects
- Build analytic systems and predictive models
- Test performance of data-driven products
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
- Monitor and gauge performance of deployed data models
Basic Qualifications:
- A minimum 16 years of education with a Bachelor's degree or Master's degree in Computer Science, Mathematics, Information Technology, Operations Research, Statistics, Data Science or STEM related discipline is required. Both local and international degrees will be accepted and will need to verified from HEC Pakistan before final selection.
- Minimum of 5 years of proven experience as a Data Scientist or similar role with a reputed local or international organization
- Solid understanding of machine learning
- Knowledge of data management and visualization techniques
- A knack for statistical analysis and predictive modelling
- Good knowledge of R, Python and variety of data visualization tools
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
Skills:
- Critical thinking
- Coding
- Maths
- Machine learning, deep learning, AI
- Communication
- Data Architecture
- Risk analysis, process improvement, systems engineering
- Problem solving and good business intuition
Job Details
Pakistan Revenue Automation (Pvt) Ltd
Pakistan Revenue Automation (Pvt.) Ltd. (acronym – PRAL) has extensive experience of working with federal and provincial tax and revenue agencies to provide wide variety of tax and revenue collection solutions. Since its incorporation in June, 1994, PRAL has been involved in the development of wide array of tax and revenue related solutions pertaining to Income Tax, General Sales Tax, Federal Excise, Customs, Capital Value Tax, Provincial Sales Tax & Services. etc. Over more than two decades of services, PRAL has gained valuable experience of increasing efficiency and efficacy of tax and revenue agencies through use of latest Information and Communication Technologies with Business Process Improvement / Re-engineering. PRAL has also proven its expertise in the areas of software development, project management, technical advisory and consulting services, managing data centers, large databases management, network administration, software implementations, trainings and data entry services. This wide spectrum of services offered by PRAL facilitates our valued customers looking for One-Stop Shop solutions from conceptualization to post-implementation operations. The essence of PRAL’s business strategy is to develop sustainable partnerships with its customers thus acting as a catalyst in transforming and adapting its IT solutions and integrating these to the “New Wave of Technological Innovations” to meet the global requirements of tax and revenue agencies.
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