Our Government client is looking for a Data Scientist (Government)
Length: Approximately 12 months contract with the possibility of extension
Location: Edmonton, Alberta (Remote)
Working Hours: 8:15 am - 4:30 pm Alberta time (7.25 hours per day/36.25 hours per week), Monday through Friday, excluding holidays observed by the Province
Business Unit: Technology and Innovation
Project Name: Data Projects
"The start date of this job is flexible and in order to find the best candidate the job may remain open much longer than the date mentioned on this posting... or you may be asked to start sooner than the expected start date if you are able to do so !"
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Requirements:
SCOPE
The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.
The Data Centre of Excellence requires a resource to support the design and development of analytical data products and services to enable the Government to better leverage its data assets support implementation of the Government Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans.
The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) & machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis.
ROLE RESPONSIBILITIES INCLUDE (but are not limited to):
Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. This resource is an expert in anticipating, identifying and responding to diverse and complex data analytic requirements across Government departments and from external organizations, while also aligning with other areas of branch and broader department. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:
Provide expertise and leadership in the design and competition of analytic projects
Develop and share data models and products
Provide continuous improvement of analytics capacities
Design and support development of analytic service offerings
Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value
Evaluating business needs, enhancing data quality, and designing analytical tools to support our data services
Conducting complex data analysis and collaborating with data engineers and analysts on various projects
Coaching and mentorship team members, fostering a client-centric approach and encouraging innovative solutions
Working closely with senior management to support a cultural shift toward data as a strategic asset and maintain effective relationships with internal and external stakeholders
Create and present options, roadmaps, frameworks, models, and briefings for senior executives with regards to analytics services, based on best and emerging practices and principles
Facilitate strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals
Develop baseline and ongoing outcomes, key results, metrics, and other indicators
Work as part of a team responsible for the generalizable extraction of knowledge from data by applying various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, and data visualizations
Experience in Data Analytics or as a Data Scientist
Apply skills to provide insights, support decision-making and facilitate strategic business planning across the department
Requires a focus on understanding predictive analytics and needs-based analytics strategies to simplify, consistently produce and re-use analytical models and assets to drive measurable value
Provide executives and decision makers a deeper understanding of their operations, transactions, services and information required for them to identify new opportunities that can only be uncovered through analytics
Provide depth and insights on Government data assets and transform them into meaningful analytics for decision making
Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression
Integrate both quantitative and qualitative data to create business insights
Design and create dashboards and custom reporting with various data sources and inputs
Analyze data and prepare results
Gather and document client requirements
Capture business and technical metadata for analytical products
Escalate issues and risks, as appropriate
Work within a multi-vendor/staff environment
Qualifications:
MUST HAVE SKILLS
Bachelor degree in Computer Science or related field of study equivalencies will be considered
6 years of experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL
6 years of experience in building analytical and quantitative analysis models
6 years of experience with projects that involved data science, data engineering and / or AI
6 years of experience in preparing data for prescriptive and predictive modelling
6 years of experience in understanding complex businesses questions and framing the right analytical question to solve a business problems
6 years of experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling)
6 years of experience with and understanding of statistical and data mining techniques to address key business issues
NICE TO HAVE SKILLS
5 years of experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data
5 years experience combining raw data from a variety of data sources within and across domains
5 years of experience dealing with clients and explaining complex data principles in a thoughtful manner
3 years of experience designing and maintaining data pipelines, data analytics workflows, or data product workflows
5 years of experience preparing visualizations, dashboards, and analytical models
5 years of experience understanding and developing requirements for analytical projects
3 years of experience utilizing big data technologies (e.g., Hadoop, Spark) or cloud platforms (e.g. Azure, Snowflake)
3 years of experience working with large government datasets
DELIVERABLES
Specific deliverables and due dates will be determined by the client team in conjunction with project management
Status reports - weekly and monthly
INCUMBENCY
This is a net new role
LOCATION, WORK ARRANGEMENT, AND ONSITE MEETING
Work must be done from within Canada, due to network and data security issues
It is anticipated the role will be 100% remote, though must be available for onsite meetings when required
Onsite meetings include but are not limited to strategic, analytical, and technical discussions, meeting with team members, senior managers, directors, executive directors, and business clients
Frequency of meeting could be up to 3-4 times per fiscal year. Actual onsite attendance may be negotiable, particularly if you live outside Alberta
In the event of an onsite meeting, the Government does not pay for travel to attend on-site meetings, nor any expenses related to relocation, commuting, housing/accommodation, food/drink
EQUIPMENT REQUIREMENTS
You must have your own computer and related equipment
The computer's operating system must be a modern version of Windows or MacOS that is compatible with Azure Virtual Desktop (AVD) and related software for remote access. Windows is preferred due to better compatibility. AVD/remote-related software will be installed on the resource's computer
When working remotely, you shall be responsible for having all of the equipment, including computers, software, printers, supplies, desks and chairs. However, the Province shall ensure that you have the necessary access and credentials to the Government's system
In the event that, you are directed to work in-person, the Province shall provide the requisite office space, furniture and office supplies. However, you shall continue to be responsible for having computers and software and the Province shall continue to ensure that you have the necessary access and credentials to the Government's system
The rate quoted is inclusive of all overhead, office space and equipment, including supplies, and all other costs to perform the Services for the duration of the Contract
RESUME FORMART
All required experience must be described in resume under the Job/Project where experience was attained
Each Job/Project must contain the term of the Job/Project in the format MMM/YYYY to MMM/YYYY
REFERENCES
Three references, for whom similar work has been performed, must be provided. The most recent reference should be listed first. Reference checks may or may not be completed to assist with scoring
BACKGROUND CHECK
Standard Background Check: prior to commencement of the Services, provide the Province, on its request and at no cost to the Province, with criminal record checks
MANDATORY TRAINING COURSES
Once hired you will be required to complete all mandatory training which includes but not limited to Freedom of Information and Protection of Privacy Act and Security awareness training. There may also be some optional courses as well
Please note that this is the most up to date version of job description available at this time - During Client Interview you will receive additional information - variance may apply!
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