*Preferred position location: Manila, Philippines or India where WVI is registered to operate.
*Please submit your CV in English.
PURPOSE OF POSITION:
The position will perform data analysis and modelling on large datasets at a global-scale, visualization, and analytics for the Partnership Data Capability. Focus on the potential impacts of emerging technologies such as big data, predictive analytics, machine learning, artificial intelligence, mobile, and AR/MR applications.
Perform hands-on data analysis and modeling with huge data sets for Partnership Data Capability.
Discover data sources, import them, clean them up, and make them “portal-ready”.
Create advanced analytic models using statistics, AI, machine learning and deep learning methodologies.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create and maintain optimal data pipeline architecture.
Statistical modeling, model fitting, machine learning, data mining on large datasets.
Dive deep into a wide range of data (Horizon, FRSC, VFI, Advocacy, Faith & Development, and Sectors etc.) to identify opportunities and recommend solutions.
Research and work with Data Analytics and Architecture teams to implement new technologies that will facilitate better data integrity, reliability, and enrichment of the portal.
Run regular tests and statistical analysis, draw conclusions on the accuracy of the data.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS technologies.
Perform ad hoc data mining, exploration, and statistical analyses on complex problem statements.
Write ETL pipelines to make data available for training and testing models both offline and in production.
Working with Geo spatial and Satellite data and linking to economic indicators.
Work with data and analytics experts to strive for greater functionality in our data systems.
Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization.
Support ongoing technology evaluation process and proof of concept projects.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
May lead workstream planning process from inception, technical design, development, testing and delivery of BI solutions.
Participate in project management estimation process.
Assists in planning, implementation of data identification.
Analyze functional business processes and requirement.
Manages and plans for BI services.
Work with business partners to develop and analyze business intelligence needs.
Provides input to business requirements and functional specifications for the design and implementation of solution.
Interprets business requirements and determines optimum BI solutions to meet needs.
Interfaces with business partners to identify and provides input to new technology opportunities that will have an impact on the enterprise wide BI systems.
Leads interviews with end users to determine the requirements for data, reports, analyses, training, data quality and performance.
Work with Architects to design and develop BI applications/solutions.
Analyzes and tests new releases/versions of BI applications/solutions in order to determine rollout schedule, technical compatibility and identify and resolve integration issues.
Analyzes, designs, and develops query parameters, layout, filters, and analytics for business solutions.
Enhances the performance of business intelligence tools by defining data profiling, data to filter and index that adds value to the user.
Designs and develops and optimizes enterprise wide information “views” and custom reports.
Provides technical direction for the development of reports keeping usability, security and data integrity.
Lead or provide technical direction for the planning, designing, and execution of testing efforts.
Develops, executes and documents test plans.
Reviews test plans and monitors testing process to ensure that business results are tested.
Provides support to test streams.
Resolves issues based on test results.
Provides adhoc, warranty, and post implementation phase support.
Troubleshoots solution outputs.
Recommends improvements of BI applications.
Optimizes BI applications or performs report and query tuning to improve performance.
Supports and helps manage external resources, such as service providers and vendor field support.
Info Quality Assurance:
Provides input to the development of information quality metrics.
Creates data quality tickets, as needed.
Researches tools, frameworks and mechanisms for data analytics.
Interfaces with vendors to keep abreast of new technologies, pricing and customer applicability.
Participates in vendor evaluations.
Policies, Standards, Procedures:
Adheres to current standards.
Provides input to policies, standards, and procedure for the form, structure and attributes of the BI tools and systems.
Designs and delivers end-user training and training materials.
Trains users to transform data into action-oriented information and to use that information correctly.
Provides guidance, training, and problem solving assistance to other team members.
Mentors less-experienced individuals.
KNOWLEDGE, SKILLS & ABILITIES:
5-7 years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Econometrics, Physics) a plus.
Bachelors or MS or equivalent in Data Science / Computer Science/ Information technology/ Statistics/ Applied Mathematics or another quantitative field.
Minimum 2+ years of related hands on experience as Data Scientist in real-time projects.
Hadoop/Spark/Java/AWS or Azure certifications or Data Analytics certifications is an advantage.
Knowledge & Skills:
Has experience with statistical modeling, machine learning, deep learning, optimization and other DS techniques.
Has experience in modeling, validating, importing, cleaning and transforming data with the purpose of extracting insights for decision making purposes.
Extensive knowledge on Supervised and Unsupervised learning models.
Big Data/Data Lake - Should be well versed with Hadoop, Spark, Experience with Cloud based services a plus - Google Cloud, AWS, Azure services used for Data storage and Data ingestion/ transformation like S3, ADF, Glue etc.
Prior experience in building and deploying various machine learning models (KNN, Decision Trees, Clustering, Artificial Neural Networks).
Prior experience in building statistical techniques (Regression, distributions etc...)
Strong analytic skills related to working with unstructured datasets.
Expertise in designing and testing experiments.
Exposure to Conversational platform like ChatBots (good to have).
Tools & Technology:
Experience using statistical computer languages (R, Python, Matlab, etc.) to manipulate data and draw insights from large data sets. Preferred: Strong knowledge of Python and/or Java.
Prior experience in working with Machine Learning and Artificial Intelligence methods using Python or R.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Hands on experience in extraction, mining and transformation and presentation of data on various reporting tools like Power BI, Tableau, etc.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
The position requires ability and willingness to travel domestically and internationally up to 20% of the time.