Senior Specialist - Data Science
Department of Finance - Abu Dhabi

About the Department of Finance – Abu Dhabi
Established in 1966 with the objective of strengthening the
financial sustainability of the Emirate, DoF is responsible for the development
and execution of the Abu Dhabi government’s annual budget and for overseeing
government returns, expenditures, funding and liquidity. DoF does this by
working closely in partnership with the relevant local government entities and
the Abu Dhabi Executive Council.
Job purpose:
Under general directions, Data Scientist is primarily
responsible to mine, clean, model, and interpret data to deliver business
insights to DoF’s business users through relevant tools, dashboards and
reports.
Key objectives for the role include (but not limited to):
• Collaborate with product design
and engineering to develop an understand business users’ needs
• Research and devise innovative
statistical models for data analysis using advanced Machine Learning, NLP and
AI technologies
• Design, develop and implement
end-to-end machine learning production pipelines (data exploration, sampling,
training data generation, feature engineering, model building and performance
evaluation)
• Enable smarter business
processes and implement advanced analytics solutions for meaningful insights
• Desing and implement databases
integrations to enrich existing data sources
Essential Duties:
<p class="MsoListParagraph" style="margin-left:9.0pt;mso-add-space:auto;text-indent:-9.0pt;line-height:normal;mso-list:l0 level1 lfo1"><span style="font-family: Roboto, -apple-system, BlinkMacSystemFont, 'Segoe UI', Arial, sans-serif;">•<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-variant-emoji: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: 'Times New Roman';"> Work as the lead data
strategist, identifying and integrating new datasets that can be leveraged
through DoF’s business capabilities and work closely with the engineering team
to strategize and execute the development of data products
• Execute analytical experiments
methodically to help solve problems and make true impact across the
organisation
• Identify relevant data sources
and sets to mine for business needs, and collect large structured and
unstructured datasets and variables
• Devise and utilize advanced
algorithms and models to mine big data stores, perform data and error analysis
to improve models, and clean and validate data for uniformity and accuracy
• Analyse data for trends,
patterns and interpret data and develop advanced and accurate prediction
algorithms with a clear business objective
• Implement advanced analytical
models into production by collaborating with other software developers
• Communicate analytic solutions
to stakeholders and implement improvements as needed to operational systems
<span style="font-family: Roboto, -apple-system, BlinkMacSystemFont, 'Segoe UI', Arial, sans-serif;">• Develop agentic AI solutions
using AI models (SLM, LLM) and other AI specific workflow automation tools
Generic Accountabilities:
Supervision
• Plan, supervise and coordinate
all activities in the assigned area to meet functional objectives
• When necessary, train and
develop the direct reporting staff on relevant skills to enable them to become
proficient on the job and deliver the respective section objectives
Budgets
• Provide input for preparation
of the department budgets and assist in the implementation of the approved
budget and work plans to deliver department objectives
• Investigate and highlight any
significant variances to support effective performance and cost control
Policies, Systems, Processes & Procedures
• Implement approved department
policies, processes, systems, standards and procedures to support execution of
the work programs in line with DoF and best international standards
• Comply with all applicable
legislation and legal regulations
Performance Management
• Contribute to the achievement of the approved Performance
Objectives for the department in line with the organization performance
framework
Innovation and Continuous Improvement
• Design and implement new
tools and techniques to improve the quality and efficiency of operational
processes
• Identify improvements in
internal processes against best practices in pursuit of greater efficiency in
line with industry best standards to define intelligent solutions
Health, Safety, Environment (HSE) and Sustainability
• Comply with relevant HSE policies, procedures &
controls and applicable legislation and sustainability guidelines in line with
international standards, best practices and DoF Code of Practices
Reports
• Provide inputs and prepare progress reports
Communications & Working Relationships:
Internal
• Daily interaction with business users, peers, IT staff,
and other focal points to discuss and implement Machine Learning/AI solutions
and other related projects
External
• Federal and Local Entities at equivalent level to
coordinate/participate on API and data integration
• Vendors and business solution providers for exchange of
information & technical/commercial clarifications
Qualifications, Experience, Knowledge & Skills:
• Bachelor’s degree in statistics, applied mathematics, or
related discipline
• Master’s degree in stats, applied math, or related
discipline
• 7+ years of solid experience in data science
• Proficiency with data mining, mathematics, and advanced
statistical analysis
• Advanced pattern recognition and predictive modelling
experience
• Experience with Machine Learning and Python for
forecasting, predictions and optimization
• Strong experience with SQL, Phyton, Pandas, Matplotlib,
Seaborn, Plotly, Scikit-learn, SciPy, NumPy, Anaconda, Jupyter Notebook,
PyTorch and other similar tools
• Familiar with Spark, TensorFlow, Analysis Services, GitLab
• Comfortable working in a very dynamic environment with
several ongoing concurrent projects
Other Technical Competencies:
• Experience in developing and documenting Standards and
Processes
• Strong Communication, interpersonal and people management
skills
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