Data Scientist (Saudi nationals)
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Salary Not Disclosed
1 Vacancy
Job Description
Position Summary
We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh KSA. 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.
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 handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
- 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 teams 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 IDEs (Jupyter Notebooks) proficiency in SAS technologies and techniques
- 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 datatypes 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 familiarity with data lineage processes and schema management tools such as Avro
- 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 (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.
- Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)
- 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 Bachelors degree OR 5 years of relevant work experience
Preferred Qualifications
3 or more years of work experience with a Bachelors 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
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
