About
We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
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Principal Responsibilities
- Serve as an analytics expert in designing, developing, and implementing best in analytic solutions
- Create and deliver powerful insights from data through better visualization and storyboarding
- Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
- Demonstrate execution proficiency in handling multiple medium-to-large analytics projects in a team environment
- Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
- Execute on the analytics plan with appropriate data mining and analytical techniques
- Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
- Ensure all project documentation is up to date and all projects are reviewed per analytics plan
- Ensure project delivery within timelines and budget requirements
- Build on team’s analytical skills and business knowledge
- Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
- Provide subject matter expertise and quality assurance of complex data-driven analytic projects
Technical Expertise
- Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
- Ability to write scratch MapReduce jobs and fluency with Spark frameworks
- Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks)
- Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
- Experience in drafting solution architecture frameworks that rely on APIs and micro-services
- Familiarity with common data modeling approaches, and ability to work with various data types including JSON, XML, etc.
- Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms, Support Vector Machines, Neural Networks, etc.
- Expert knowledge of advanced data mining and statistical modeling techniques
- Deliver results within committed scope, timeline, and budget
- Very strong people/project management skills and experience
- Ability to travel within GCC on short notice
Qualifications
- Basic Qualifications: 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience
- Preferred Qualifications: 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
- Experience working in one or more of the Card Payments markets around the globe
- Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
Location
Riyadh, KSA
