Data Science Manager - Toronto (Hybrid)
Shift Technology
This job is no longer accepting applications
See open jobs at Shift Technology.See open jobs similar to "Data Science Manager - Toronto (Hybrid)" General Catalyst.The future of insurance starts with AI. To date, Shift Technology's AI-powered products have benefitted more than 300 million policyholders globally by reducing underwriting risk, identifying more fraud, and automating critical tasks throughout the claims process. Shift harnesses the power of AI to enable the world’s leading insurance organizations to make better decisions. Our products help insurers improve operational efficiency, reduce costs, and deliver superior customer experiences to their policyholders. Our culture is built on innovation, trust, and a drive to transform the insurance industry by imagining and innovating solutions that impact insurers and their customers - like you! We come from more than 50 different countries and cultures and together we are creating the future of insurance.
The Data Science team at Shift Technology works on a broad range of subjects which includes actively participating in the definition and development of our suite of products on fraud detection, anti-money laundering, subrogation detection, and claim automation. Our Data Scientists have extensive technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, the teams also work on various data types such as structured data, free text, documents and images.
What you'll do:
- Manage our Canadian based Data Science team (7+ members), assist with hiring, training, and mentoring.
- Dive into our client's data to find creative methods to detect large scale fraud rings, providers fraud and opportunistic fraud.
- In charge of scaling solution deployment and maintenance of our Fraud Detection models.
- Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions
What you bring:
We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
- A minimum of 4 years of Data Science experience and at least 2 years in a Lead / Managerial role with a strong will to mentor teams.
- Code-savvy with experience in programming with an object-oriented language (Python, Java, C#, C++, etc.). The ability to write maintainable, production-quality code that will run everyday without breaking.
- AI-savvy, understanding of machine learning concepts and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
- Client facing, applicants will need to be comfortable and open to communicating to our clients on a regular basis.
- Business smart, we don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products and industry.
- Team player as you'll interact with many other teams: other Data Science teams, Developers, Product Managers, Project Managers, Sales, Presales.
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To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Focus Fridays, a half-day each month to focus on learning and personal growth
- Generous PTO and paid holidays
- Mental health benefits
- 2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country - ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.
At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.
Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.
Please be aware of scammers and only trust correspondence that comes from emails ending in shift-technology.com
Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.
This job is no longer accepting applications
See open jobs at Shift Technology.See open jobs similar to "Data Science Manager - Toronto (Hybrid)" General Catalyst.