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Company: Curinos
Location: Toronto, ON
Job description: Company DescriptionCurinos is the leading provider of data, technologies and insights that enable financial institutions to make better, and more profitable, data-driven decisions faster. Born out of the combination of two familiar industry powerhouses, Novantas and Informa’s FBX business, Curinos brings to market a new level of industry expertise across deposits, lending and digital experience solutions and technologies.Curinos is operating under a hybrid modality. This position is based in the Toronto area.Job DescriptionWe’re looking for an experienced, product-minded data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, insightful in your analytical approach, and pragmatic in embedding data science in enterprise products. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices.KEY DUTIES● Independently apply advanced statistical concepts leveraging both theory and practical experience to deliver repeatable, scalable workflows and products● Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos ML based marketing optimization campaigns● Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment● Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities● Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products● Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our productsQualifications● You have 5+ years’ experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications. Experience in scientific marketing contexts is a plus● You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models● You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus● You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting● You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers● You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals● You can quickly pivot and act with agility as dictated by the needs of the business● You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical disciplineAdditional InformationWhy work at Curinos?
- Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
- Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
- Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
- Learning and development tools to assist with your career development
- Work with industry leading Subject Matter Experts and specialist products
- Regular social events and networking opportunities
- Collaborative, supportive culture, including an active DE&I program
- Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services
Applying:We know that sometimes the ‘perfect candidate’ doesn’t exist, and that people can be put off applying for a job if they don’t meet all the requirements. If you’re excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help.Inclusivity at Curinos:We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
Curinos is a leading provider of data, technologies, and insights for financial institutions. They are seeking an experienced Senior Data Scientist to join their Data Science & Machine Learning Team. The role involves using data science and machine learning to understand banking customer behavior and optimize engagement marketing through FinTech products. The ideal candidate will have experience in applied machine learning or data science, strong statistical knowledge, and proficiency in Python-based machine learning frameworks. Curinos offers competitive benefits, flexible working options, learning and development tools, and a supportive, inclusive culture. They are an Equal Opportunity Employer committed to diversity and inclusivity.
Job Description
Assistant Hotel Manager
Location: Toronto, ON
Salary: $18 per hour
Hours: Full-time
Our client, a well-established hotel in the heart of Toronto, is seeking an Assistant Hotel Manager to join their team. The successful candidate will work closely with the General Manager to ensure the smooth operation of the hotel and provide guests with exceptional service.
Key Responsibilities:
– Assist with day-to-day operations of the hotel, including check-ins, check-outs, and resolving guest issues
– Supervise front desk staff to ensure excellent customer service
– Oversee housekeeping and maintenance staff to maintain cleanliness and functionality of the hotel
– Manage hotel inventory and supplies to ensure adequate stock levels
– Handle accounting tasks, such as managing budgets and processing invoices
– Assist with marketing and promotional activities to attract new guests
– Uphold hotel policies and procedures to maintain a safe and welcoming environment for all guests and staff
Qualifications:
– Previous experience in hotel management or hospitality industry
– Excellent communication and interpersonal skills
– Strong leadership and problem-solving abilities
– Proficient in Microsoft Office and hotel management software
– Flexible schedule, including weekends and evenings
– Certification in hospitality management or related field is an asset
If you are passionate about the hospitality industry and looking to take the next step in your career, please apply now with your resume and cover letter. We look forward to hearing from you!
Expected salary:
Job date: Thu, 18 Jul 2024 22:21:52 GMT