Senior Data Scientist, Methodologies

Job not on LinkedIn

🕒 March 12

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Tilt (formerly Empower)

Tilt (formerly Empower)

201 - 500 employees

💳 Fintech

👥 B2C

💸 Finance

Fintech • B2C • Finance

Tilt is a financial technology company that provides cash advance, lines of credit, and credit card services aimed at empowering customers financially. With an emphasis on accessibility, Tilt offers flexible repayment plans and eligibility irrespective of a customer's credit history, enabling individuals to qualify based on their real-time financial habits. The platform is user-friendly, boasting positive customer experiences and a high rating, making it a convenient option for those seeking to manage their finances and build credit effectively.

📋 Description

• Architecting the Future: You won't just run experiments; you’ll own the development and testing of deep learning architectures (transformers, embeddings, and NNs) that define how Tilt understands risk. • Driving Strategy Across Teams: You’ll partner with peers in Engineering and Product to ensure our models aren't just "smart" in a lab, but effective and scalable in the real world. • Translating Insights into Solutions: You’ll look past the symptoms of a data problem to find the root cause. You’ll define trade-offs and turn complex findings into clear, actionable solutions for our lending platform. • Owning the Workstream: With general direction from leadership, you will take full ownership of your projects—from initial hypothesis to measuring the outcome for our customers. • Elevating the Craft: You’ll share your findings and mentor others, helping the team grow its deep learning capability and ensuring we stay at the cutting edge of the industry. • Measuring What Matters: You’ll define success not just by model accuracy, but by how your work improves financial outcomes for Tilt’s customers and partners.

🎯 Requirements

• Technical Depth: You have a proven track record of building and deploying deep learning models (Neural Networks, Embeddings, or Transformers) using modern frameworks like PyTorch or TensorFlow. • Applied Experience: You’ve applied machine learning to complex, real-world problems, ideally within financial services (credit, lending, or payments). • First Principles Thinking: You are an expert at breaking down problems. You don't just apply a model because it's popular; you apply it because you’ve considered the trade-offs and the "why." • Unwavering Clarity: You cut through the noise. You can explain a complex technical concept to a non-technical partner with the same ease and respect you’d use with a fellow scientist. • Soulful Intent: You’re driven by a purpose. You want your intelligence to serve a mission—helping more people get the "Yes" they deserve.

🏖️ Benefits

• Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement. • Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. • Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. • Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly. • Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.) • Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.

Apply Now

Similar Jobs

🕒 February 24

ELEKS

1001 - 5000

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Data Scientist improving data-driven models for forecasts and optimizations in a zero carbon emissions energy company. Seeking candidates with expertise in Python and analytics in the European region.

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist