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Jr. Data Scientist / Data Scientist / Sr. Data Scientist

Pakistan Revenue Automation (Pvt) Ltd

多个城市，巴基斯坦

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发布 Feb 09, 2021 12 查看

Act as Data Scientist / Analyst, particularly in the field of Predictive Modeling to exploit new modeling, analytic and statistical techniques.
Produce insights into corporate data, and undertake predictive and behavioral analytics deriving evidence-based resource decisions.
Analytical findings and decisions ensuring compliance of policy.
Support policy makers and operational managers to enhance analytical capability in terms of algorithm development.
Predict outcomes and help design actions to encourage compliant behavior as well as deter non-compliant behavior.
Enhance company’s analytical capability in a sustainable way.
Identify risk at an early stage for mitigation actions.
Demonstrate successful applications of predictive modeling techniques across a range of applicable scenarios.
Critically challenge analysis and provide constructive alternatives to drive significant improvements.
Exercise extensive experience of analyzing large and complex datasets, familiarity in algorithm development which may be categorized as Predictive Analytics and Data Mining.
The position holder will demonstrate strong quantitative and technical skills and ability to engage effectively with senior business users through clear and professional written communication, contributions to meetings and presentations.

Specifications

Hands-on experience with medium to large datasets.
Demonstrate ability to provide practical insights from complex data sets.
Familiarity with concepts of Big Data, Map Reduce and NOSQL.
Software development skills in more than two programming languages e.g. Java, Dot Net, C++, Python, R, Spark 2.0, SAS, IBM Modeler.
Experience in Analytics, BI, data visualization is preferred.
An aptitude of statistical learning, mathematics and problem solving.
Intellectually curious, with excellent communication skills.
Familiarity in algorithm development which may be categorized as Artificial Intelligence, Predictive Analytics, Data Mining and Machine Learning.

技能

NoSQL Python Framework Command Automation Languages Command

工作详细内容

全部职位:

2 发布

工作时间:

早班

工作类型:

合同工

部门:

Data Science

工作地址:

伊斯兰堡, 卡拉奇, 巴基斯坦

性别:

没有偏好

最低学历:

学士

学位头衔:

4 years Bachelors in Computer Science or IT preferably in related majors, from reputed foreign or HEC-recognized institution

职位等级:

资深专业人员

经验:

1年 - 5年 ((0-3) Years of Experience for Jr. Data scientist, (3+) Years of Experience for Data scientist & 05+ years of experience for Sr. data Scientist)

在之前申请:

Mar 15, 2021

发布日期:

Feb 09, 2021

Pakistan Revenue Automation (Pvt) Ltd

· 1001-1500 员工 - 伊斯兰堡, 卡拉奇

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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.