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We are seeking a highly analytical and results-driven team member to join our growing data science team in the financial services sector. You will play a key role in developing and implementing predictive machine learning /AI models, leading data-driven decision-making processes, managing data science projects from conception to deployment, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and financial domain knowledge.
What You’ll Do:
Build and deploy ML/AI models to solve business problems in areas like prospect targeting, credit risk, fraud detection, pricing, verification and loss forecasting.
Analyze large, structured and unstructured datasets using SQL, Python or similar tools.
Evaluate existing customer data, new third party or alternative data to enhance the feature list and work with data engineering and analytics teams to build scalable and durable feature engineering process.
Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development.
Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies.
What We Look For:
Advanced Degree (MS/PhD) in Data Science, Engineering, Statistics, Mathematics, Computer Science, or a related quantitative discipline.
5-10 years of hands-on experience in a data science or analytics role, preferably in financial services.
Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL.
Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.).
Detail oriented and strong analytical skill set.
Proactive, driven, and ability to work in a fast-paced environment.
Nice to Have:
Experience in credit risk modeling
Design and maintain end-to-end CICD pipelines (using Kubernetes or GitHub action or other tools) including continuous integration, deployment, and monitoring. Automate model training, evaluation, and deployment workflows
Lead end-to-end machine learning and data science product from conception to development
Experience working with cloud platforms (AWS, GCP, or Azure).
Knowledge of big data technologies like Spark or Hadoop.
Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value.
What We Offer You:
Competitive salary and stock option plan
100% paid coverage of medical, dental and vision insurance
Competitive 401(k) and RRSP program
Flexible PTO
Opportunities for professional growth and development
Paid parental leave
Health & wellness initiatives
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade’s Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.
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Candidate will support the Customer Product Stewardship team by supporting raw material data management. We are looking for a team player who is self-motivated and able to manage multiple projects.
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other.
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We’re looking for a Senior Data Engineer to own our source data management strategy. This is a technical, back-end role within the data team that requires strong research, communication, and design skills.
This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process.
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The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data.
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A role within Marketing Analytics and Insights means being a part of the team that enables faster, smarter and more scalable decision-making to compete and win the modern retail market. Here, you’ll leverage data, statistics and visualization to create the actionable insights that deliver value across all Target functions.
As a Staff Data Engineer, you will be leading the architecture, design and development of data pipelines and services to enable data-driven decision-making, deliver business intelligence, machine learning, experimentation and company-wide data strategy. This is a remote opportunity within Canada and the US.
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FAQ
What position is Upgrade hiring for?
Upgrade is hiring a remote Lead Data Scientist from 🇺🇸 USA
What type of employment does Upgrade offer?
This is a
Full Time role.
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