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Data entry • gravenhurst on
Dernière mise à jour : il y a 12 heures
As a Data Scientist at McAfee, you will work closely with our data engineering and analytics teams to profile, transform, interpret data, and build a 360° view of our customers.Your primary focus w...Voir plusDernière mise à jour : il y a 12 heures
Data lovers, unite! Lumerate is searching for an awesome post-secondary student to join us for an 8 month internship on our Zebricks Data Team!.
Lumerate is a Toronto-based SaaS company that has bui...Voir plusDernière mise à jour : il y a plus de 30 jours
Thank you for checking us out! Work From Home Data Entry Research Panelist Jobs - Part Time, Full Time.This is a remote work from home position perfect for those with any type of work background su...Voir plusDernière mise à jour : il y a 29 jours
The Federal Work Study student provides administrative assistance to the student accounts, financial aid, education or career services department.
General Office (filing, copying , scanning, data en...Voir plusDernière mise à jour : il y a plus de 30 jours
At Ness Digital Engineering, we enable global enterprises to achieve their digital transformation goals through innovative IT consulting.
As part of our Cloud and Data practice, we deliver strategic...Voir plusDernière mise à jour : il y a 10 jours
Spade is looking for a customer service representative for AIL.This person will drive customer satisfaction by fielding inquiries, addressing pain points and maintaining extensive product knowledge...Voir plusDernière mise à jour : il y a plus de 30 jours
Are you a technologist who has a hunger to dig deep and get involved in providing first-class solutions to real-world problems?.
First Derivative is a people-first company.We are powered by our ever...Voir plusDernière mise à jour : il y a 18 heures
Calibri,sans-serif"> Hi Everyone, I hope you are doing well, This is Siddharth from Tekleaders, please share me the updated resume ...Voir plusDernière mise à jour : il y a 2 jours
At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province.
Our vision is that together, we will be a leader in...Voir plusDernière mise à jour : il y a plus de 30 jours
Mandatory skills : PurView experience, Databricks, Metadata tagging, Data Governance, Data Classification & tagging.Location city(s) : Toronto or London or Winnipeg.
Eligibility : Candidates with 5 - 7...Voir plusDernière mise à jour : il y a 4 jours
Salary Range (plus eligible to receive a performance based incentive, applicable to position) : .We are seeking a highly skilled Senior Data Developer to join our team.
The ideal candidate will have ...Voir plusDernière mise à jour : il y a 1 jour
We are a global tech solutions company that believes.Collaboration Betters The World.Leveraging strategy, technology, and design, we partner with organizations worldwide to offer comprehensive solu...Voir plusDernière mise à jour : il y a 4 jours
Heures de travail : 40 hours per week.Secondary (high) school graduation certificate.Creoles and pidgins, English based.Communicate the business and technical benefits of the analytic solution to bo...Voir plusDernière mise à jour : il y a 4 jours
Operations and Real Estate Partnership.Institutional Research and Data Governance.As a key member of our dynamic team, the Manager of Institutional Data Governance (IDG) plays a pivotal role in tra...Voir plusDernière mise à jour : il y a 1 jour
We are seeking a hands-on Senior Data Engineer in a full-time salaried position.Data Engineer will work with our Data Services Practice and work alongside our talented cloud architects to play a ke...Voir plusDernière mise à jour : il y a 4 jours
Describe what makes your company great.Experience with Guidewire, Mitchell, and CCX data model is required.Fundamental knowledge of Property and Casualty industry products and services.In depth exp...Voir plusDernière mise à jour : il y a plus de 30 jours
Join KEYRUS and Shape the Future with Us!.At Keyrus, we live and breathe innovation and technology.As a leading French company with over 28 years of global expertise, we operate in 26 countries wit...Voir plusDernière mise à jour : il y a 12 heures
Demonstrated expertise in BI tools and advanced data visualization techniques.Proven leadership skills, with the ability to mentor, guide, and positively influence teams.
Deep analytical thinking, c...Voir plusDernière mise à jour : il y a 1 jour
The Records & Data Entry Assistant is responsible for data entry, maintaining the accuracy and integrity of computerized records systems and responding to requests and enquires.Must be enrolled as ...Voir plusDernière mise à jour : il y a plus de 30 jours
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Data Scientist (Data Engineering & Analysis)
McAfeeWaterloo, Region of Waterloo, CanadaIl y a 12 heures
Type de contrat
- Temps plein
Description de posteProficiency in SQL for complex data queries and data transformations. Strong experience with Python for data manipulation, analysis, and pipeline development. Hands-on experience working with large datasets, data profiling, and transforming raw data into structured formats. Familiarity with Databricks or other big data platforms is a plus. Excellent problem-solving skills with a curiosity-driven approach to exploring data. Ability to think critically and connect data insights to business metrics. Comfortable working with ambiguity and incomplete data, and can proactively seek solutions. Knowledge of data science concepts (e.g., basic statistics, predictive modeling, recommendation systems). Familiarity with cloud-based data infrastructure (e.g., AWS, Azure) is a plus. Understanding of Ad Tech, Martech and customer analytics, especially in a Customer360 context is a plus. Bonus Program Pension and Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement
Role Overview
As a Data Scientist at McAfee, you will work closely with our data engineering and analytics teams to profile, transform, interpret data, and build a 360° view of our customers. Your primary focus will be to dive deep into datasets, understand how they relate to business goals, and shape data to drive insights and business metrics. You will use languages like SQL and Python to extract, manipulate, and analyze data, and contribute to developing robust customer 360 attributes.
In this role, you would focus on hands-on data profiling, transformations, and analysis. We are looking for a strong sense of curiosity, problem-solving ability, and a knack for working through data challenges.
Location : This is a Hybrid position in Canada. Candidates who live within commutable distance of Waterloo or Toronto are preferred. You will be required to be onsite from time to time as determined by the needs of the business.
About The Role
- Work with large and diverse datasets to profile, clean, and transform data for analysis.
- Build and refine data pipelines, ensuring data is structured and ready for analytical use.
- Use SQL and Python for querying, transforming, and analyzing data from various sources.
- Perform data profiling to understand data characteristics and uncover patterns and anomalies.
- Collaborate with stakeholders to understand business metrics and ensure data aligns with key business objectives.
- Support the development of customer 360° views by integrating data from various sources and creating relevant attributes.
- Continuously explore and ask questions about the data to uncover new insights and drive better decision-making.
- Maintain clear documentation of data transformation processes and methodologies.
About You
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protect their families and communities with the right security at the right moment.
Company Benefits And Perks
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
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