Data Scientist – Machine Learning and Advanced Analytics (Remote) – Hilton Grand Vacations – Orlando, FL

Company: Hilton Grand Vacations

Location: Orlando, FL

Expected salary:

Job date: Fri, 31 Jan 2025 06:27:42 GMT

Job description: This job requires a strong background in marketing, finance, or IT, along with experience in PowerBI development and Generative AI (GenAI) models. The successful candidate will use their expertise to analyze and interpret data, create visualizations, and develop AI models to drive business growth and decision-making. This role offers the opportunity to work on cutting-edge technologies and make a significant impact on the company’s success.

General Motors – 2025 Summer Co-op Data Scientist – Oshawa, ON

Company: General Motors

Location: Oshawa, ON

Expected salary:

Job date: Sun, 26 Jan 2025 01:36:07 GMT

Job description: Job DescriptionWork ArrangementHybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Oshawa Elevation Center 3 times per week, at minimum [or other frequency dictated by the business].About GM:At General Motors we pride ourselves on designing, building and selling the world’s best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student you will gain hands-on career specific experiences to maximize your real world potential.The Role:
We are seeking a skilled Data Scientist to amplify our data analytics initiatives within the Customer Care and Aftersales organization, specifically within the Quality Team. The ideal candidate will have experience in independently handling complex business data, performing insightful reviews, and generating comprehensive visualizations and outputs that drive strategic decisions. A knack for building innovative data products is highly desirable.
This outstanding cross-functional role provides an opportunity to experience interfacing with global teams, and showcase your strong analytical, programming, visualization, and machine learning skills, to identify key trends and solutions.What You’ll Do ​Analyze and interpret complex aftersales warranty data to identify trends, patterns, and opportunities, translating findings into actionable business insights.Develop tools, dynamic dashboards and reports for stakeholders using advanced visualization tools, ensuring security, clarity, accessibility, and continuity of information across teams.Maintain the highest standards of data accuracy and integrity, implementing best practices for data governance and security.Work independently and collaboratively within diverse teams, demonstrating strong organizational, communication, and problem-solving skills.Develop and Maintain project documentation.Support existing Databricks/PowerBI queries and dashboards.Actively support day to day business operations and projects as assigned.Required Skills and QualificationsEducational Background: Pursuit of a Master’s or Bachelor’s degree (3rd, or 4th year) in the following areas: Mathematics, Data/Computer Science, Computer or Software Engineering.Work Approval: Able to work fulltime, 40 hours per week in Canada, and for 8-month term (2 consecutive semesters) starting May 2025Technical Proficiency: Strong programming skills in Python/R, and SQL; experience with data tools like Azure/Databricks/Excel, and visualization tools like Tableau or Power BI; familiarity with machine learning frameworks and statistical modeling.Product Development Skills: Demonstrated ability to build and deploy data products and analytical solutions that drive business value.Adaptability: Eagerness to learn and adapt to new technologies and methodologies in a fast-paced environment; ability to work on multiple projects concurrentlyAttention to Detail: A meticulous approach to ensuring data accuracy and delivering high-quality analytical outputs.Soft Skills: Exceptional organizational and time-management abilities; excellent communication and presentation skills; strategic thinker with a proactive approach to problem-solving.Team Collaboration: Ability to work effectively both independently and within diverse teams; strong interpersonal skills to liaise effectively with various stakeholders.GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIPTO APPLY FOR THIS POSTION YOU MUST APPLY HERE AND APPLY THROUGH YOUR SCHOOL’S ONLINE SYSTEM AS REQUIREDNOTE- YOU MUST BE ENROLLED IN A CO-OP OR INTERNSHIP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.For more information about GM Canada, visit our website atGeneral Motors of Canada values diversity and is an equal opportunity employeeAbout GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.Diversity InformationGeneral Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.Equal Employment Opportunity StatementAccommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada, please advise if you require accommodation. General Motors of Canada values diversity and is an equal opportunity employer.

Huawei – Intern Research Scientist – AI Software Development (Graduate Level) – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary:

Job date: Wed, 15 Jan 2025 05:13:40 GMT

Job description: Huawei Canada has an immediate internship opening for a Research Scientist.About the team:The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.About the job:

  • Develop novel solutions and perform extensive evaluation of prototypes contributing to Huawei’s next-generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
  • Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
  • Present research outcomes to internal and/or external audiences.
  • Collaborate with researchers and product teams to implement research findings into products.

About the ideal candidate:

  • Currently has, or is in the process of obtaining, a PhD/Master degree in the field of Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
  • Experience in digital signal processing fundamentals, such as time-frequency analysis, convolutions and filtering.
  • Research and/or work experience in Machine Learning or Deep Learning.
  • Experience with Deep Learning software for Python, e.g. PyTorch, HuggingFace, or TensorFlow.
  • Experience with designing and overseeing human-subject experiments, particularly involving human-computer interaction.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICASSP, INTERSPEECH, ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, or similar is an asset.

Staff Data Scientist – Index Exchange – Toronto, ON

Company: Index Exchange

Location: Toronto, ON

Expected salary:

Job date: Fri, 17 Jan 2025 00:25:15 GMT

Job description: We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical skills of our team make a real difference.Our exchange handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.What’s it like to work at Index?We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.Index is an exciting and fast-paced place to work. We’re built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward.Our culture of success is truly supportive and collaborative. In working together across our teams, we’re continually investing in the people and technology to solve the industry’s most complex problems. As we extend the promise of ad tech to every channel, we’re looking for talented engineers to help advance Index, and the industry, forward.Are you ready to join the programmatic evolution?Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently. Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in.Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth. We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale.About The Role:We’re looking for a Staff Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.In this role you will lead high-impact data science initiatives that drive innovation and measurable value. You will design and implement advanced machine learning models, lead large-scale projects, and collaborate with cross-functional teams to align solutions with business goals. As a senior technical expert, you will mentor team members, contribute to scaling data science capabilities, and influence the organization’s data strategy. This position combines technical excellence with strategic vision, empowering you to shape impactful, data-driven solutions.Index’s scale spans the globe, our transactions happen 24×7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business.What We’re Looking For:A pragmatic data science technologist:

  • Learn and understand the business vision and market opportunity for the company
  • Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
  • Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency
  • Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation
  • Clearly articulate research and development hypothesis, decisions and results
  • Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimization
  • Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
  • Work together with ML engineers and architects to develop production grade data centric solutions
  • An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand

Here’s What You Need:

  • 7+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills
  • Experience in data science practices in operational environments and internet scale, i.e – this is an applied position, rather than a solely research focused one
  • Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
  • Proven ability to demonstrate and articulate complex results to wide technological audience
  • Demonstrated history of enabling advanced data modeling-based guidance for technology development
  • Experience in cross functional team cooperation to drive pragmatic technological solutions
  • Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred)
  • Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus)
  • Familiarity with digital marketing, advertising or analytics is a plus
  • Work experience in complex system engineering environments is a plus
  • Bachelors or Master’s in mathematics, Computer Science, Engineering, or equivalent

Why You’ll Love Working Here:

  • Comprehensive health, dental, and vision plans for you and your dependents
  • Paid time off, health days, and personal obligation days plus flexible work schedules
  • Competitive retirement matching plans
  • Equity packages
  • Generous parental leave available to birthing, non-birthing, and adoptive parents
  • Annual well-being allowance plus fitness discounts and group wellness activities
  • Commuter benefits and discounts, where available
  • Employee assistance program
  • Mental health first aid program that provides an in-the-moment point of contact and reassurance
  • One day of volunteer time off per year and a donation-matching program
  • Bi-weekly town halls and regular community-led team events
  • Multiple resources and programming to support continuous learning
  • A workplace that supports a diverse, equitable, and inclusive environment –

NotificationIndex Exchange is aware that there have been recent scams directed toward candidates regarding job interviews and offers.Please be vigilant and do not accept interview requests, job offers, or other hiring-related documents from anyone other than our dedicated recruitment team, from the domain of @indexexchange.com. Our interview process consists of several steps, including phone screens and video interviews. We do not conduct interviews via an email questionnaire or request money at any point in the process.We remain dedicated to resolving this matter and we appreciate your support.Equal employment opportunityAt Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification-diversity is the human experience. For those who show grit, passion, and humility-Index will welcome you.Accessibility for applicants with disabilitiesIndex Exchange welcomes and encourages individuals with disabilities to apply to work with us.If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.Index Everywhere, Index AnywhereOur corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.#LI-ONSITE

Index Exchange is a leader in ad tech, handling over 500 billion requests every day in its own global data centers. They are looking for a Staff Data Scientist with 7+ years of experience in data science and machine learning to lead high-impact initiatives and drive innovation. The company values transparency, support, learning, trust, and intention in its diverse and inclusive culture. Index Exchange offers comprehensive health benefits, competitive retirement plans, equity packages, generous parental leave, fitness discounts, and continuous learning opportunities. They are committed to equal employment opportunities and welcome individuals with disabilities to apply. Index Exchange has offices in major cities globally and promotes a collaborative and supportive work environment.

Aviva – Data Scientist Intern – Operations and Data 2025 – Toronto, ON

Company: Aviva

Location: Toronto, ON

Expected salary:

Job date: Wed, 08 Jan 2025 07:55:34 GMT

Job description: The best career that you never expected is at Aviva.You are investing time and money into your education, building the foundation for a rewarding career. Have you considered insurance? More than 100,000 Canadians work in the insurance industry.We make a positive difference every single day offering protection and peace of mind.Aviva Canada Inc. is one of Canada’s largest insurance groups and we have a lot to offer to talented people just entering the working world.If you’re ready for a head start, we’d like to meet you.Aviva is pleased to announce that we are currently recruiting for students for our summer internship Program for the period of May 2025 until August 2025. This is an excellent opportunity for post-secondary students to gain exposure to the insurance industry. Our program offers a variety of experiences across our insurance business unit. Aviva realizes the importance of crafting internships as a means to develop talent to meet future requirements for entry-level insurance roles.Aviva Canada has adopted a hybrid return-to-office model. This role will require you to work in the Toronto or Markham office.The AI/ML Engineering and Innovation team is looking for a driven, passionate student to join their team as a Data Scientist Intern! Join an exciting team of actuaries, data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat during this data-driven, technology revolution.What you’ll doSummer interns will have an opportunity to contribute in a variety of duties within AI/ML Engineering and Innovation teamFeature engineering , MLops, MLautomation, ML ModellingClerical and administrative duties, filing, data-entry, general office support, etc.Responsible for assisting full time staff with short term projects to meet business requirementsOther duties as assigned by managerWe’re excited about you because:You’re passionate and thoughtful when it comes to offering an amazing customer experienceYou aren’t afraid to work in a dynamic environment and learn new processesOrganization is your strength and you love staying on top of projectsYou get creative when it comes to problem solvingYou’ll collaborative with teammates, have strong communication skills, and build relationships easilyWhat you need to succeed:Currently enrolled in a post-secondary program and actively pursuing a bachelor’s degree or college diploma in Data Science or Computer Science/EngineeringCoding skills with PythonData engineering/Data science modelling experience is an assetExperience as a Data Scientist/ Machine Learning Engineer is an assetDemonstrates a desire to go above and beyond and hunger to learn and growAbility to adjust with minimal supervision where priorities may shift due to changing business needsStrong verbal and written communicator with high caliber, professional business demeanorSignificant experience using Microsoft office programs (Word, Outlook, PowerPoint, and Excel)A real passion for helping peoplePervious Insurance program or work experience is an assetHave a minimum 2.75 GPA or B averagePlease limit your application to one role at the location of your choice based on your interests. Carefully review which specific opportunities are available before submitting your application, as openings vary by office.Please submit your applications to us by February 14, 2025.**We thank you for your interest in applying for this position, however only suitable candidates will be contacted for interviews.**Additional InformationAviva Canada is committed to providing accommodations for people with disabilities during all phases of the hiring process including the application process. If you require an accommodation because of a disability, we will work with you to meet your needs. Applicants need to make their needs known in advance. If you are selected for an interview and require an accommodation, you are encouraged to advise the Talent Acquisition Partner who will consult with you to determine an appropriate accommodation.

Growth Data Scientist – LotusFlare – Toronto, ON

Company: LotusFlare

Location: Toronto, ON

Expected salary:

Job date: Sat, 11 Jan 2025 08:11:30 GMT

Job description: LotusFlare is a provider of cloud-native SaaS products based in the heart of Silicon Valley. Founded by the team that helped Facebook reach over one billion users, LotusFlare was founded to make affordable mobile communications available to everyone on Earth.Today, LotusFlare focuses on designing, building, and continuously evolving a digital commerce and monetization platform that delivers valuable outcomes for enterprises. Our platform, Digital Network Operator® (DNO™) Cloud, is licensed to telecommunications services providers and supports millions of customers globally.LotusFlare has also designed and built the leading eSIM travel product – Nomad. Nomad provides global travelers with high-speed, affordable data connectivity in over 190 countries. Nomad is available as an iOS or Android app or via getnomad.app.Summary:As a Growth Data Scientist at LotusFlare, your work will directly affect products impacting millions of people. You will work on products throughout its whole life cycle and be responsible for advocating data-fueled products that help our customers to make data-driven decisions. You are a strategic thinker who can synthesize disparate information to understand the drivers of businesses and market dynamics, and structure corresponding vision and strategy to win the market. You are obsessed with data; you can easily translate complex data into accurate, timely, and actionable insights & decisions which deliver business impact.Responsibilities:

  • Contribute to the strategy, vision, prioritization, and execution of data analytics products for LotusFlare’s web and mobile platforms
  • Work closely with data scientists and data engineers to analyze diverse sources of data to devise actionable insights
  • Define core metrics that measure the drivers of the business
  • Develop, execute, and test different growth experiments that have a significant impact on conversion across all funnels (acquisition, activation, retention, engagement, and monetization)
  • Analyze and monitor qualitative and quantitative data on the web and mobile app products to develop the most remarkable user experience
  • Present findings and prepare strategy recommendations to executive stakeholders
  • Partner with cross-functional teams including engineering, UX/UI, sales, marketing, and customer success to build growth strategies and manage complex, cross-functional projects

Requirements:

  • Undergraduate degree in Economics, Engineering, CS, Math, Statistics, Physics or similar quantitative field; advanced degrees a plus
  • Candidate must be able to effectively synthesize disparate quantitative and qualitative data sets to quickly make data-driven decisions
  • Excellent SQL and Python skills
  • Experience with Tableau, Quicksight, Data studio or other reporting and visualization tool
  • Strong communication skills, ability to smoothly lead external client presentation and communication
  • Fluent with data analysis, A/B Testing, and statistics
  • 1 – 5 years of previous experience in product management, software development, growth product management, or analytics; exceptional new grads are welcome to apply as well
  • Obsessive around moving critical business metrics and products

About:
At LotusFlare, we attract and keep amazing people by offering two key things:

  • Purposeful Work: Every team member sees how their efforts make a tangible, positive difference for our customers and partners.
  • Growth Opportunities: We provide the chance to develop professionally while mastering cutting-edge practices in cloud-native enterprise software.

From the beginning, our mission has been to simplify technology to create better experiences for customers. Using an “experience down” approach, which prioritizes the customer’s journey at every stage of development, our Digital Network Operator™ Cloud empowers communication service providers to achieve valuable business outcomes. DNO Cloud enables communication service providers to innovate freely, reduce operational costs, monetize network assets, engage customers on all digital channels, drive customer acquisition, and increase retention.With headquarters in Santa Clara, California, and five major offices worldwide, LotusFlare serves Deutsche Telekom, T-Mobile, A1, Globe Telecom, Liberty Latin America, Singtel, and other leading enterprises around the world.

  • Website:
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LotusFlare is a Silicon Valley-based provider of cloud-native SaaS products founded by the team that helped Facebook reach over one billion users. They focus on designing and evolving a digital commerce and monetization platform, as well as offering the eSIM travel product, Nomad. They are currently seeking a Growth Data Scientist to work on data-fueled products and drive business impact through data-driven decisions. The ideal candidate will have a quantitative background, strong SQL and Python skills, experience with data analysis and A/B testing, and excellent communication skills. LotusFlare offers purposeful work and growth opportunities to its team members, aiming to simplify technology and create better customer experiences. Their Digital Network Operator™ Cloud empowers communication service providers to achieve valuable business outcomes, and they work with leading enterprises worldwide.

Stripe – Data Scientist – Toronto, ON

Company: Stripe

Location: Toronto, ON

Expected salary:

Job date: Wed, 08 Jan 2025 04:35:13 GMT

Job description: About StripeStripe is a financial infrastructure platform for businesses. Millions of companies-from the world’s largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.About the teamOur Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.What you’ll doWe’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.Who you areWe’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.Minimum Requirements

  • 3-8+ years of data science/quantitative modeling experience
  • Proficiency in SQL and a computing language such as Python or R
  • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience in working with cross-functional teams to deliver results
  • Ability to communicate results clearly and a focus on driving impact
  • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
  • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
  • A builder’s mindset with a willingness to question assumptions and conventional wisdom

Preferred qualifications

  • Experience deploying models in production and adjusting model thresholds to improve performance
  • Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
  • Experience with distributed tools such as Spark, Hadoop, etc.
  • A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Hybrid work at StripeThis role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.Pay and benefitsThe annual salary range for this role in the primary location is C$140,000 – C$262,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.Office locationsTorontoRemote locationsRemote in CanadaTeamData & Data ScienceJob typeFull time

Senior Data Scientist – NearSource Technologies – Toronto, ON

Company: NearSource Technologies

Location: Toronto, ON

Expected salary:

Job date: Sun, 05 Jan 2025 23:38:03 GMT

Job description: We are hiring a Senior Data Scientist (Remote) to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team.Job Responsibilities

  • Solve Complex Problems: Analyze and interpret customer behavior to drive product adoption and improve user engagement.
  • Apply Advanced Analytics: Leverage quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities.
  • Build Machine Learning Pipelines: Design and implement ML pipelines that enable data-driven decision-making.
  • Cross-Functional Collaboration: Work closely with Product, Marketing, Engineering, and Design teams to ensure impactful, data-informed decisions.
  • Lead and Mentor: Guide and support team members in developing ML-powered features for our Digital Customer Platform.

Minimum Qualifications

  • Educational Background: MS or PhD in a quantitative field such as Mathematics, Statistics, or Computer Science.
  • Experience: 7+ years of experience in designing and deploying machine learning solutions.
  • ML Expertise: Proficiency in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
  • Technical Skills: Strong command of SQL/NoSQL databases, big data platforms (e.g., Hadoop, Spark), and programming languages (Python preferred).
  • Data Science Tools: Experience with tools like Pandas, Jupyter, TensorFlow, and machine learning techniques.
  • Cloud & MLOps: Hands-on experience with cloud platforms (AWS) and familiarity with MLOps best practices.

APPLY NOW!NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.

NearSource Technologies is hiring a Senior Data Scientist (Remote) to join their team and drive data-driven decision-making across their digital platform. The job responsibilities include solving complex problems, applying advanced analytics, building machine learning pipelines, collaborating with cross-functional teams, and leading and mentoring team members. The minimum qualifications include an MS or PhD in a quantitative field, 7+ years of experience in designing and deploying machine learning solutions, proficiency in ML expertise, strong technical skills in SQL/NoSQL databases and programming languages, experience with data science tools, and hands-on experience with cloud platforms and MLOps. NearSource Technologies values diversity and is committed to equal opportunity for all applicants. Apply now to be part of the team.

Senior Data Scientist – Parent Organization – Toronto, ON

Company: Parent Organization

Location: Toronto, ON

Expected salary:

Job date: Fri, 03 Jan 2025 23:21:47 GMT

Job description: We’re hiring a Senior Data Scientist (Remote) to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team.Job Responsibilities

  • Solve Complex Problems: Analyze and interpret customer behavior to drive product adoption and improve user engagement.
  • Apply Advanced Analytics: Leverage quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities.
  • Build Machine Learning Pipelines: Design and implement ML pipelines that enable data-driven decision-making.
  • Cross-Functional Collaboration: Work closely with Product, Marketing, Engineering, and Design teams to ensure impactful, data-informed decisions.
  • Lead and Mentor: Guide and support team members in developing ML-powered features for our Digital Customer Platform.

Minimum Qualifications

  • Educational Background: MS or PhD in a quantitative field such as Mathematics, Statistics, or Computer Science.
  • Experience: 7+ years of experience in designing and deploying machine learning solutions.
  • ML Expertise: Proficiency in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
  • Technical Skills: Strong command of SQL/NoSQL databases, big data platforms (e.g., Hadoop, Spark), and programming languages (Python preferred).
  • Data Science Tools: Experience with tools like Pandas, Jupyter, TensorFlow, and machine learning techniques.
  • Cloud & MLOps: Hands-on experience with cloud platforms (AWS) and familiarity with MLOps best practices.

APPLY NOW!NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.

NearSource Technologies is looking to hire a Senior Data Scientist to work remotely and drive data-driven decision-making across their digital platform. The responsibilities include solving complex problems, applying advanced analytics, building machine learning pipelines, collaborating with cross-functional teams, and leading and mentoring team members. Minimum qualifications include a MS or PhD in a quantitative field, 7+ years of experience in designing and deploying machine learning solutions, ML expertise in Large Language Models and NLP, technical skills in SQL/NoSQL databases and programming languages, experience with data science tools and cloud platforms. NearSource Technologies values diversity and promotes equal opportunity for all applicants. Apply now to be part of the team.