About Ryewalk /n /n At Ryewalk, we go beyond solving problems - we engineer smart, scalable solutions that drive business success. /n /n ● Salesforce Experts – We don’t just implement CRM solutions; we tailor Salesforce to fit your /n business, ensuring seamless adoption and maximum impact. /n ● Cloud Strategists – We design and build cloud architectures in AWS that are robust, scalable, and /n ready for the future. /n ● Tech Trailblazers – When technology challenges stall progress, we step in, streamline, and deliver. /n No jargon, no fluff—just outcomes that matter. /n ● Decision Scientists – We don't just crunch numbers; we turn data into insight and insight into /n action—combining analytics, modeling, and decision science to drive smarter business decisions. /n /n If it’s a complex tech challenge, we’re the team that makes it work. /n /n About the Role /n /n We're looking for a Senior Data Scientist to help deliver data science and business analytics solutions for our fintech clients. /n /n 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. /n /n The role centers on three things: /n ● Deep technical craft — you're excellent in the data and hold a high bar for your own work. /n ● Ownership of delivery — you own your workstreams end-to-end, from ambiguous problems to clear /n recommendation, and you deliver reliably. /n ● Clear communication — you present findings with confidence, work directly with clients in your /n areas, and explain complex ideas simply. /n /n If you love being close to the work, take pride in producing rigorous analysis, and enjoy turning messy /n problems into clear answers, we'd love to talk. /n /n Key Responsibilities /n Hands-On Data Science &

• Analytics /n /n ● Write SQL and Python, build models, run analysis, and create dashboards — this is the core of the /n role, day in and day out. /n ● Design, build, and deploy end-to-end ML models for lending use cases such as credit scoring, risk /n assessment, default and early-warning prediction, fraud detection, and customer segmentation. /n ● Own the full modeling lifecycle: exploratory analysis, feature engineering, model selection, /n validation, and performance monitoring. /n ● Partner with client stakeholders to answer key business questions with data — running ad hoc /n deep-dives and recurring analyses that inform product, risk, pricing, and operational decisions. /n ● Own portfolio and performance analytics — tracking and explaining metrics such as application /n and funding conversion, approval rates, delinquency, charge-offs, roll rates, and vintage/cohort /n performance. /n ● Credit Risk Analytics to evaluate changes to credit policy, product, and pricing,



and translate the /n results into transparent, actionable recommendations. /n ● Design intuitive Tableau dashboards and automated reporting that drive decisions across product, /n risk, and operations. /n ● Follow and help improve best practices for reproducible, scalable, production-ready work. /n /n Delivery &

• Client Collaboration /n ● Own the delivery of your workstreams end-to-end — scoping, planning, execution, and on-time /n delivery. /n ● Work directly with client stakeholders on your areas of the project, building trusted relationships /n and staying close to their needs. /n ● Translate ambiguous, open-ended business problems into well-defined analyses with clear /n deliverables and timelines. /n ● Communicate progress clearly, surface risks early, and keep your work on track. /n ● Present findings and recommendations to both technical and executive audiences with clarity and /n confidence. /n /n Mentorship &

• Quality /n ● Mentor junior data scientists and analysts, sharing your expertise and helping them grow. /n ● Bring a quality-first mindset to your own work, and contribute to code, model, and dashboard /n reviews to help maintain a high bar across the team. /n ● Contribute to the team's technical standards and best practices. /n ● Help unblock teammates and support them on both technical craft and communicating their work. /n ● Contribute to a culture of curiosity, ownership, and continuous improvement. /n /n What We’re Looking For /n Must-Have: /n ● 4+ years of hands-on experience in data science / business analytics, with a track record of owning /n meaningful workstreams and delivering high-quality work. /n ● A strong sense of ownership — managing your scope, timelines, and stakeholders to deliver /n reliably. /n ● Expert SQL for querying and shaping large-scale datasets. /n ● Strong Python for data analysis and ML modeling. /n ● Hands-on expertise with Tableau (or a similar BI tool) for dashboarding and reporting. /n ● Deep understanding of statistics, hypothesis testing, and data visualization best practices. /n ● Strong experience with ML libraries/frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). /n ● Experience taking ML models from prototype to production. /n ● Excellent communication and presentation skills — able to explain complex technical concepts to /n non-technical and executive audiences, and comfortable presenting your work directly to clients. /n ● A quality-first mindset: strong attention to detail and pride in producing rigorous,



reliable work. /n ● Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field. /n /n Nice-to-Have: /n ● Background in fintech, credit risk, or lending — a strong plus that will help you ramp quickly with the /n client. /n ● Experience mentoring junior data scientists or analysts. /n ● Experience with cloud data platforms (AWS, GCP, Azure). /n ● Familiarity with MLOps and model deployment pipelines. /n ● Experience in a consulting environment. /n ● Comfort working with US-based / distributed clients across time zones. /n ● Knowledge of Git, CI/CD, and modern data workflows. /n /n What Success Looks Like /n ● First 30 days: You've ramped up on the client's data and priorities, built good working relationships /n with the team, and taken ownership of your first workstreams. /n ● Within 3 months: You're consistently shipping high-quality, high-impact work, trusted to run with /n complex problems on your own — and you've become a go-to technical contributor the client and /n team rely on. /n /n What Makes You a Great Fit /n ⭐ Problem-Solver Mindset - You enjoy tackling challenges and finding innovative solutions /n ⭐ Excellent Troubleshooting Abilities - You can quickly diagnose and resolve technical issues under pressure /n ⭐ Curiosity &

• Continuous Learning - You stay updated with the latest Data Engineering trends and technologies /n ⭐ Ownership &

• Accountability - You take responsibility and drive projects to completion /n ⭐ Collaboration &

• Communication - You work well across teams and can explain technical concepts clearly /n ⭐ Adaptability - You thrive in a dynamic environment and embrace change /n ⭐ Proactive Approach - You anticipate challenges, take initiative, and suggest improvements before issues arise /n /n Why Ryewalk? ? /n 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. /n 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. /n 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. /n Grow at Startup Speed - Unlike rigid corporate hierarchies, here you get to learn, lead, and level up - fast. /n Hybrid-Friendly &

• Flexible - We trust you to deliver without micromanagement. (Yes, really!) /n 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. /n Culture That Feels Like Home - Expect collaborative brainstorming, inside jokes, and an environment where everyone has a voice. /n

📌 Senior Data Scientist (Salem)
🏢 Ryewalk
📍 Salem