Senior Data Scientist

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Lead the design and implementation of statistical and machine learning solutions that facilitate high-impact, data-driven decisions throughout the organization.

• Take ownership of intricate and ambiguous challenges from start to finish, including framing the question and deploying and monitoring the solution in a production environment.

• Analyze trends, patterns, and anomalies; identify root causes and highlight opportunities that influence product and business strategies.

• Design and build data pipelines to access, clean, and transform large raw datasets, establishing reusable patterns.

• Create, implement, and oversee business rules for cash flow underwriting and repayment processes.

• Collaborate with product, engineering, and business leaders to convert strategic priorities into data science roadmaps and influence high-level decisions.

• Identify significant problems and develop or define suitable solutions.

• Design and execute comprehensive experimentation programs, including A/B testing, to validate hypotheses and measure business impact.

• Develop, prototype, validate, and deploy machine learning models and algorithms while balancing accuracy, latency, cost, and maintainability.

• Effectively communicate technical insights and model outcomes to both senior and non-technical stakeholders through visualizations, reports, and recommendations.

• Collaborate with product managers, software engineers, and designers in mission-oriented teams.

⛳️ Requirements

• A minimum of 5 years of experience in data science roles.

• Proven track record of delivering models that resulted in measurable business impact.

• Capability to independently manage projects and guide others through technical uncertainties.

• Experience in deploying models to production and maintaining them through monitoring, retraining, and updates.

• Technical degree in data science, computer science, analytics, AI, or equivalent applied experience in building and evaluating production models.

• Proficient in SQL, including clean and efficient transformations; experience with DBT is preferred.

• Advanced programming skills with expertise in sklearn, pandas, numpy, and either TensorFlow or PyTorch.

• Prior experience in the fintech and lending sectors.

• Authorization to work for any employer in Canada or the US for at least the next 12 months.

• Must not require sponsorship to work in the US or Canada, or must disclose any future sponsorship requirements.

🏝️ Benefits

• Work from anywhere globally.

• Flexible working hours.

• Unlimited paid time off (PTO).

• Company-wide recharge days.

• Annual team retreats.

• Weekly UberEats credits.

• Travel discounts on SuperTravel.

• Generous parental leave policy.

• Flexible return-to-work arrangements.

• Equity options available.

• Comprehensive benefits starting on the first day of employment.

• Wellness budgets.

• Personal development funds.

• Team-level learning resources.