Data Science Archives - AI Jobs Latest

Business Analytics Specialist, Queensland X-Ray

Staff AJL — Wed, 21 May 2025 10:41:22 +0000

Company	Queensland X-Ray
Job title	Business Analytics Specialist
Job location	Brisbane, Australia
Type	Full Time

Responsibilities:

Design, develop, and deploy advanced Power BI reports and dashboards tailored to user and business needs
Develop complex DAX calculations and scalable data models to support reporting requirements
Build and maintain ETL workflows and data pipelines to integrate data from SQL servers and enterprise systems, ensuring clean, reliable data for analysis
Design and develop robust data warehouse solutions to support BI initiatives and strategies
Ensure reports are accurate, user-friendly, and aligned with business objectives
Maintain comprehensive documentation for processes, data models, and BI frameworks
Uphold data security, compliance, and accuracy standards

Requirements & Skills:

Bachelor’s degree in Business Analytics, Data Analytics, or a related field
5+ years of experience in BI development, data engineering with ETL processing
Expertise in creating complex reports, dashboards, and data visualisations using Power BI and SSRS
Strong proficiency in SQL, optimising ELT processes, and developing scalable data pipelines and data warehouse
Experience with the Microsoft BI stack, including SSIS, SSMS, SSRS (Report Builder), and Power BI
Proficiency in SQL, DAX, and Power Query M, with Python experience, is a plus
Strong problem-solving skills with the ability to identify and resolve data challenges effectively
Experience working with UKG Kronos data (both on-premise and cloud) is advantageous

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Artificial Intelligence Researcher, Kepler Analytics

Staff AJL — Tue, 20 May 2025 16:38:14 +0000

Company	Kepler Analytics
Job title	Artificial Intelligence Researcher
Job location	Melbourne, Australia
Type	Full Time

Responsibilities:

Being able to deliver a Machine Learning/Deep learning project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation
Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models
Use Spark ML and other machine learning frameworks to help our customers build ML models
Work with Data Engineers to analyse, extract, normalise, and label relevant data
Work with Engineers to help our customers operationalise models after they are built
Assist customers with identifying model drift and retraining models
Research and implement novel ML and DL approaches

Requirements & Skills:

A Bachelor’s or Master’s Degree in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
4+ years of industry experience in predictive modelling, data science, and analysis
Previous experience in an ML or data scientist role and a track record of building ML or DL models
Experience using Python and/or R
Knowledge of SparkML
Able to write production-level code, which is well-written and explainable
Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
Experience working with GPUs to develop models
Experience handling terabyte-sized datasets
Track record of diving into data to discover hidden patterns
Familiarity with using data visualisation tools
Knowledge and experience of writing and tuning SQL
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
Experience giving data presentations
Extended travel to customer locations may be required to deliver professional services, as needed
Strong written and verbal communication skills
PhD in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.)
2+ years of industry experience in predictive modelling and analysis
Good skills with programming languages, such as Java or C/C++
Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, and ability to accurately determine cause and effect relations
Consulting experience and track record of helping customers with their AI needs
Publications or presentations in recognised Machine Learning, Deep Learning, and Data Mining journals/conferences
Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customers’ organisation
Demonstrable track record of dealing well with ambiguity, prioritising needs, and delivering results in a dynamic environment

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Senior Data Scientist, 7-Eleven

Staff AJL — Mon, 19 May 2025 12:14:30 +0000

Company	7-Eleven
Job title	Senior Data Scientist
Job location	Irving, Texas, United States
Type	Full Time

Responsibilities:

Develop an understanding of 7-Eleven supply chain data and gather/ analyze the same to understand the current state of the supply chain.
Identify underlying patterns and business opportunities with data.
Participate in the design and implementation of data science models and algorithms in a production environment.
Anticipate and evaluate the impact of analytical solutions on related projects as part of developing complex analytical algorithms/solutions for various business problems.
Stays current with analytical advancements and provides thought leadership in choosing the right algorithm for solving a given business problem.
Decompose large and complex problems into simple and easy-to-understand solutions.
Present and share complicated machine learning and data science solutions to leadership, stakeholders, and the cross-functional team.
Participates in internal & external technology & analytical forums and discussions.
Prioritize workload, ensure high quality of solutions that adhere to standards and best practices are delivered in a timely fashion.
Outstanding written and verbal communication skills.
Proficiency with manipulating large data sets, data analysis, and modeling software (Python, R, Spark, etc.).
Ability to define the problem under ambiguous business considerations, gather the appropriate data, develop the models, and deliver appropriate recommendations at the speed of business.
Define and conduct experiments/ scenarios to validate or reject hypotheses and inform appropriate recommendations to stakeholders.
Work with peers and stakeholders across Planning, Design, Supply Chain, Merchandising, Finance, and Operations to evaluate different business opportunities.
Foster a culture of innovation and inclusiveness.
Develop insights through analysis and visualization with data to inform and influence stakeholders.

Requirements & Skills:

Master’s in Industrial Engineering, Mathematics, Computer Science, Statistics, and other related quantitative fields.
3-5 years of relevant work experience, preferably in a supply chain environment.
Experience with programming in SQL, Python, R, Spark, and Shell Script.
Exposure to operations research techniques is a plus.
Ability to work independently and as part of a diverse team.
Excellent interpersonal skills and a tenacious attitude.
Proven record of innovation and strategic impact across teams.
2+ years of experience in big data and data science.

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Data Engineer – Consultant, NRMA

Staff AJL — Mon, 19 May 2025 12:09:09 +0000

Company	NRMA
Job title	Data Engineer – Consultant
Job location	Olympic Park, Sydney, Australia
Type	Contract

Responsibilities:

Implementing Concepts of Data Engineering framework within GCP Cloud using the Data Mesh Architecture framework
Design and implement the Data Warehouse using ETL/ELT frameworks
Build and refine job automation and orchestration for the pipeline to handle exception handling, rerun jobs, fault tolerance, retrospective, logging, alerts, notifications, etc.
Develop processes for handling batch and streaming data
Build a compatible target data state to include a compatible schema design, catalogue, data modelling acceptable for consumption via APIs, Client, and analytics
Provide data usage patterns for analytics, API, and other consumption patterns from the target data store
Build target state data publishing and visualization, and integration
Building or use of an AI/Machine Learning prototype for implementing and supporting existing algorithms
Implement Identity and Access Management (IAM) roles across the data assets. Also, define and execute different delegate roles as needed
Implement IAM and DLP dataset-level-access-controls in the target data store
Build a CICD automation pipeline facilitating automated deployment and automated testing
Deliver end-to-end comprehensive documentation along with code samples
Provide Data Analytical Teams support for ease of use to build further Analytical Data Models, Analysis, or insights, using different tool sets

Requirements & Skills:

Relevant Degree – Computer Science, Computer Engineering, Software Engineering, Data Engineering
Excellent SQL skills – Big Query
Intermediate expertise with Google cloud-based platforms
Demonstrated working knowledge in Python, you will be able to write elegant and well-documented code in Python
Demonstrated understanding of data structures and algorithms
Knowledge and Concept of Data Warehousing Methodologies
Any experience with HR Data would be highly regarded
Any Reporting tools, such as Tableau or Looker/Power BI
Solid communication and interpersonal skills

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Data Analyst – Specialist, Vanguard

Staff AJL — Sun, 18 May 2025 17:21:32 +0000

Company	Vanguard
Job title	Data Analyst, Specialist
Job location	Charlotte, NC, US/Malvern, PA, US
Type	Full Time

Responsibilities:

Engages with internal partners to understand business strategy, questions, and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers.
Serves as the analytics expert on cross-functional teams for large strategic initiatives.
Acquires and compiles structured and unstructured data and verifies its quality, accuracy, and reasonableness.
Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.
Prepares and delivers expert-level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
Develops, owns, and manages recurring analytic or reporting processes.
Actively develops the analytics community at Vanguard by mentoring, coaching, and connecting others with resources and training. Participates and presents during scheduled analytics seminars.
Participates in special projects and performs other duties as assigned.

Requirements & Skills:

Minimum of five years related work experience.
Consultative approach with business functional and technical skills with Validated experience in building and delivering data & analytics products and insights.
Technical experience with Python, SQL, Tableau, Bloomberg, Morning Star
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

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Data Analyst – Monopoly World, Reality

Staff AJL — Sun, 18 May 2025 17:13:06 +0000

Company	Reality
Job title	Data Analyst – Monopoly World
Job location	Kraków, Małopolskie, Poland
Type	Full Time

Responsibilities:

Analyze and model data to provide actionable insights for game design and monetization strategies
Develop and maintain data pipelines, and work with large datasets to derive meaningful patterns
Collaborate with game designers and engineers to create data-driven solutions
Perform web scraping and interact with REST APIs to collect and consume data
Work with BigQuery SQL to query and manipulate game data for analysis
Design and run simulations to support the development of Free-to-Play mobile games
Continuously monitor key performance indicators and suggest improvements based on data analysis

Requirements & Skills:

Proficiency in at least one programming language, such as Python, JavaScript, Java, R, or Scala
Experience with web scraping or consuming data from REST APIs
Experience with BigQuery SQL
Strong analytical thinking skills and the ability to interpret complex data
At least 2 years of experience in data modeling and simulations for Free-to-Play mobile games
Very good command of English

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