Data Science Archives - AI Jobs Latest

Data Engineer II, PagerDuty, Inc.

Staff AJL — Thu, 03 Apr 2025 15:24:37 +0000

Company	PagerDuty, Inc.
Job title	Data Engineer II
Job location	Santiago, Santiago Metropolitan Region, Chile
Type	Full Time

Responsibilities:

Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement, and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts, and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality, and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document, and promote best practices

Requirements & Skills:

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience
3+ years of experience working in data integration, pipelines, data modeling,
Experience designing and deploying code in Data platforms in a cloud-based and Agile environment
Fluent English is required
Availability to work 2 days per month in our Santiago office
You will design, implement, and scale data pipelines that transform billions of records into actionable data models that enable data insights.
You will help lead initiatives to formalize data governance and management practices and rationalize our information lifecycle and key company metrics.
You will provide mentorship and hands-on technical support to build trusted and reliable domain-specific datasets and metrics.
You will have deep technical skills, be comfortable contributing to a nascent data ecosystem and building a strong data foundation for the company.
You will be a self-starter, detail and quality oriented, and passionate about having a huge impact at PagerDuty.

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Senior Data Analyst, Playson

Staff AJL — Thu, 03 Apr 2025 15:19:48 +0000

Company	Playson
Job title	Senior Data Analyst
Job location	Europian Union
Type	Full Time

Responsibilities:

Transform and analyze large, complex data sets representing transactional, financial data and player behavior to uncover actionable insights.
Deliver proactive recommendations to stakeholders across product, commercial, and technical disciplines to shape optimization and enhance KPIs.
Build and maintain automated dashboards to visualize key metrics and performance trends.
Deliver in-depth research to check against various business hypotheses and provide actionable recommendations.
Collaborate across teams to drive data-informed decisions for product improvements.
Own multiple data projects in a fast-paced, results-driven environment.
Contribute to data literacy growth and advancement across the company.

Requirements & Skills:

4+ years of analytical experience, ideally in the iGaming, gaming, or video streaming industry.
Strong knowledge of SQL for querying and managing large datasets.
Solid expertise in data visualization, including tools such as Power BI, Tableau, or similar platforms.
A proactive data-driven mindset with curiosity, experience in daily reporting, and insights generation.
Excellent communication and data storytelling skills, with the ability to present findings clearly to all stakeholders, regardless of their data skills.
A self-motivated, detail-oriented approach to work.

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Continuous Improvement Engineer, FGF Brands

Staff AJL — Tue, 01 Apr 2025 18:16:35 +0000

Company	FGF Brands
Job title	Continuous Improvement Engineer
Job location	San Antonio, Texas, US
Type	Full Time

Responsibilities:

As part of the Countinous Improvement (CI) team, worked on multiple projects related to operations, including manufacturing, Supply Chain, Sanitation, Quality, and Maintenance & Reliability
Collect and analyze data following a structured methodology (DMAIC) to implement sustainable improvements in all aspects of Operations
Working with a multidisciplinary team, the CI Engineer will support the planning and execution of key continuous improvement projects under the guidance of the CI Team Leader
Support commissioning activities of new equipment and manufacturing lines
Create an environment that continues to foster continuous improvement and lean manufacturing
Lead training sessions for multiple teams, including Production, Sanitation, Quality, and Maintenance
Support troubleshooting and driving completion of projects to enable them to be brought to fruition
Ensure that a safe working environment is maintained at all times
Working in automation and development of prototype applications

Requirements & Skills:

Completed Post-Secondary education in Engineering, Business Management, or a related field
3+ years experience in a Continuous Improvement role in manufacturing
Certifications in Lean Six Sigma are asset
Experience with Excel Advanced Functions and VBA is an asset
Experience with Microsoft Power Platform (Power BI, PowerApps, Power Automate, etc.) or interest in learning is an asset
Must have strong working knowledge of Microsoft Office
Prior work experience in a food manufacturing environment is an asset
Must possess excellent analytical skills
Must have demonstrated ability to interact with others and is adept at leading and motivating a team
Excellent interpersonal, organizational, and communication skills are required
Flexible to work different work schedules when needed
Must be flexible, high energy, and passionate about getting things done
Valid driver’s license

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Data Analyst Consultant, Sia Partners

Staff AJL — Sun, 30 Mar 2025 14:50:18 +0000

Company	Sia Partners
Job title	Data Analyst Consultant
Job location	Paris, France
Type	Full Time

Responsibilities:

Communicate with various stakeholders to understand and define business needs
Coordinate with technical stakeholders to anticipate risks
Map, acquire and prepare data by performing quality checks and ensuring consistency
Transform the data and calculate indicators in order to interpret and analyze the results
Explore analysis results using Data Visualization
Design, implement, and develop reporting, data analysis, or visualization solutions, notably with Power BI, Tableau, Dataiku, etc.

Requirements & Skills:

High-level training (Bac +5) at university, engineering school, or business school in the field of data
Initial experience as a data analyst or in data visualization desired
Strong knowledge of BI and Data Visualization, including relevant concepts, methodologies, and tools
Experience with BI tools such as Tableau, Power BI, Qlik, etc.
Proficiency in SQL and Python for data manipulation and analysis
Understanding of data extraction, transformation, and loading (ETL) techniques, with a preference for experience with ETL tools (eg, Dataiku)
Experience on platforms such as Azure, Google Cloud Platform, and AWS is an asset

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Data & AI Engineer – Data Science Engineer, Capgemini

Staff AJL — Thu, 27 Mar 2025 16:56:28 +0000

Company	Capgemini
Job title	Data & AI Engineer – Data Science Engineer
Job location	Ontario, Canada
Type	Full Time

Responsibilities:

Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, and approves them with all collaborators.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives!
Provides estimations, agrees task duration with the manager, and contributes to project plan of assigned area!
Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
Leads functional and architectural design of assigned areas. Make sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements a mitigation plan.
Reports about area readiness/quality and raises red flags in crisis situations that are beyond their AOR.
Responsible for resolving crisis situations within their AOR.
Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
Suggest technical and functional improvements to contribute to the product;
Constantly improves their professional level.
Collaborates with other teams.

Requirements & Skills:

We are looking for candidates with a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
We are looking for candidates with 2+ years of experience in data analytics, consulting, or a related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS, or Python
Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau).
Experience in building full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Outstanding analytical and problem-solving skills.
Always eager to learn and improve.
Strong interpersonal and writing skills.

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Sr. Data Scientist, Loblaw Companies Limited

Staff AJL — Thu, 27 Mar 2025 16:47:41 +0000

Company	Loblaw Companies Limited
Job title	Sr. Data Scientist
Job location	Brampton, Ontario, Canada
Type	Full Time

Responsibilities:

Data Engineering/ETL: Design, develop, and maintain robust ETL pipelines using cloud-based technologies (such as Airflow and PySpark) to extract, transform, and load large and complex datasets.
Model Development: Build, train, evaluate, and deploy data science models and algorithms to address critical healthcare challenges without supervision.
Statistical Analysis: Use your expertise to conduct rigorous statistical analyses, including hypothesis testing and A/B testing, to draw meaningful conclusions from data.
Insight Generation: Uncover actionable insights from complex data, and communicate findings effectively through compelling visualizations and presentations.
Collaboration: Work closely with cross-functional teams, including pharmacists, analysts, and engineers, to translate business requirements into technical solutions.
Innovation: Stay abreast of the latest advancements in data science and machine learning, and explore innovative approaches to solve complex problems.
Take ownership of the development and implementation of complex Data projects, and mentor junior team members.

Requirements & Skills:

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
5+ years of industry experience in building, training, evaluating, and optimizing machine learning models, with a strong focus on model development and deployment.
2+ years of industry experience generating actionable insights from data and telling stories from complex data.
2+ years of industry experience in statistics, hypothesis testing, A/B testing, and experimental design.
Solid experience and understanding of data science methods such as Time Series, Regression, Classification, Clustering, Deep learning, NLP, GenAI, etc
Extensive industry experience in data ETL pipeline automation on cloud-based tools (preferably using AirFlow and PySpark).
Proficiency in Python, SQL, Pandas, Scikit-Learn, Airflow, and deep learning tools such as Keras or Tensorflow.
Excellent written and verbal communication skills with the ability to clearly articulate complex ideas in a concise manner
Understanding the healthcare domain, with a passion and desire to make a positive impact.

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