Job Description

About Ryewalk

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At Ryewalk, we go beyond solving problems - we engineer smart, scalable solutions that drive business success.

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● Salesforce Experts – We don't just implement CRM solutions; we tailor Salesforce to fit your

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business, ensuring seamless adoption and maximum impact.

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● Cloud Strategists – We design and build cloud architectures in AWS that are robust, scalable, and

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ready for the future.

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● Tech Trailblazers – When technology challenges stall progress, we step in, streamline, and deliver.

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No jargon, no fluff—just outcomes that matter.

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● Decision Scientists – We don't just crunch numbers; we turn data into insight and insight into

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action—combining analytics, modeling, and decision science to drive smarter business decisions.

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If it's a complex tech challenge, we're the team that makes it work.

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About the Role

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We're looking for a Senior Data Scientist to help deliver data science and business analytics solutions for our fintech clients.

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This is a hands-on, senior individual-contributor role. You'll spend most of your time deep in the data building models, running analysis, and shipping work that clients act on — while taking full ownership of your workstreams and helping level up more junior members of the team.

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The role centers on three things:

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- Deep technical craft — you're excellent in the data and hold a high bar for your own work.
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- Ownership of delivery — you own your workstreams end-to-end, from ambiguous problems to clear
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recommendation, and you deliver reliably.

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● Clear communication — you present findings with confidence, work directly with clients in your

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areas, and explain complex ideas simply.

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If you love being close to the work, take pride in producing rigorous analysis, and enjoy turning messy

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problems into transparent answers, we'd love to talk.

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Key Responsibilities

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Hands-On Data Science & Analytics

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● Write SQL and Python, build models, run analysis, and create dashboards — this is the core of the

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role, day in and day out.

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● Design, build, and deploy end-to-end ML models for lending use cases such as credit scoring, risk

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assessment, default and early-warning prediction, fraud detection, and customer segmentation.

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● Own the full modeling lifecycle: exploratory analysis, feature engineering, model selection,

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validation, and performance monitoring.

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● Partner with client stakeholders to answer key business questions with data — running ad hoc

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deep-dives and recurring analyses that inform product, risk, pricing, and operational decisions.

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● Own portfolio and performance analytics — tracking and explaining metrics such as application

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and funding conversion, approval rates, delinquency, charge-offs, roll rates, and vintage/cohort

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performance.

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● Credit Risk Analytics to evaluate changes to credit policy,



product, and pricing, and translate the

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results into clear, actionable recommendations.

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● Design intuitive Tableau dashboards and automated reporting that drive decisions across product,

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risk, and operations.

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● Follow and help improve best practices for reproducible, scalable, production-ready work.

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Delivery & Client Collaboration

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● Own the delivery of your workstreams end-to-end — scoping, planning, execution, and on-time

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delivery.

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● Work directly with client stakeholders on your areas of the project, building trusted relationships

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and staying close to their needs.

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● Translate ambiguous, open-ended business problems into well-defined analyses with clear

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deliverables and timelines.

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- Communicate progress clearly, surface risks early, and keep your work on track.
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- Present findings and recommendations to both technical and executive audiences with clarity and
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confidence.

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Mentorship & Quality

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- Mentor junior data scientists and analysts, sharing your expertise and helping them grow.
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- Bring a quality-first mindset to your own work, and contribute to code, model, and dashboard
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reviews to help maintain a high bar across the team.

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- Contribute to the team's technical standards and best practices.
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- Help unblock teammates and support them on both technical craft and communicating their work.
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- Contribute to a culture of curiosity, ownership, and continuous improvement.
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What We're Looking For

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Must-Have:

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● 4+ years of hands-on experience in data science / business analytics, with a track record of owning

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meaningful workstreams and delivering high-quality work.

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● A strong sense of ownership — managing your scope, timelines, and stakeholders to deliver

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reliably.

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- Expert SQL for querying and shaping large-scale datasets.
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- Strong Python for data analysis and ML modeling.
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- Hands-on expertise with Tableau (or a similar BI tool) for dashboarding and reporting.
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- Deep understanding of statistics, hypothesis testing, and data visualization best practices.
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- Strong experience with ML libraries/frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
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- Experience taking ML models from prototype to production.
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- Excellent communication and presentation skills — able to explain complex technical concepts to
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non-technical and executive audiences, and comfortable presenting your work directly to clients.

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- A quality-first mindset:



strong attention to detail and pride in producing rigorous, reliable work.
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- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
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Nice-to-Have:

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● Background in fintech, credit risk, or lending — a strong plus that will help you ramp quickly with the

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client.

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- Experience mentoring junior data scientists or analysts.
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- Experience with cloud data platforms (AWS, GCP, Azure).
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- Familiarity with MLOps and model deployment pipelines.
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- Experience in a consulting environment.
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- Comfort working with US-based / distributed clients across time zones.
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- Knowledge of Git, CI/CD, and modern data workflows.
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What Success Looks Like

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● First 30 days: You've ramped up on the client's data and priorities, built good working relationships

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with the team, and taken ownership of your first workstreams.

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● Within 3 months: You're consistently shipping high-quality, high-impact work, trusted to run with

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complex problems on your own — and you've become a go-to technical contributor the client and

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team rely on.

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What Makes You a Great Fit

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Problem-Solver Mindset - You enjoy tackling challenges and finding creative solutions

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Excellent Troubleshooting Abilities - You can quickly diagnose and resolve technical issues under pressure

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Curiosity & Continuous Learning - You stay updated with the latest Data Engineering trends and technologies

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Ownership & Accountability - You take responsibility and drive projects to completion

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Collaboration & Communication - You work well across teams and can explain technical concepts clearly

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Adaptability - You thrive in a dynamic setting and embrace change

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Proactive Approach - You anticipate challenges, take initiative, and suggest improvements before issues arise

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Why Ryewalk?

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Impact from Day One - As a startup, we move fast, make bold decisions, and your work truly matters. No red tape - just pure problem-solving and execution.

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Wear Multiple Hats (If You Want To!) - Love coding but also want to dabble in architecture? Curious about Consulting? At Ryewalk, you'll have the freedom to explore beyond your job title.

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Work With the Best - Join a team of smart, passionate, and hands-on tech pros who thrive on collaboration, innovation, and challenging the status quo.

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Grow at Startup Speed - Unlike rigid corporate hierarchies, here you get to learn, lead, and level up - fast.

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Hybrid-Friendly & Flexible - We trust you to deliver without micromanagement. (Yes, really!)

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Solve Real Problems - We work with clients who come to us with big, complex tech challenges - and we love cracking them. If you enjoy making a real impact, you'll fit right in.

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Culture That Feels Like Home - Expect collaborative brainstorming, inside jokes, and an environment where everyone has a voice.

📌 Senior Data Scientist (Tamil Nadu)
🏢 Ryewalk
📍 Tamil Nadu