Data Scientist

About Ryewalk

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

Salesforce Experts – We don’t just implement CRM solutions; we tailor Salesforce to fit your business, ensuring seamless adoption and maximum impact.

Cloud Strategists – We design and build cloud architectures in AWS that are robust, scalable, and ready for the future.

Tech Trailblazers – When technology challenges stall progress, we step in, streamline, and deliver. No jargon, no fluff—just outcomes that matter.

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

About the Role

We are looking for a highly motivated Data Analyst / Data Scientist to join our team and help solve complex business challenges using data-driven insights. This role blends analytics, business intelligence, and advanced data science, giving you the opportunity to drive insights at every level - from operational reporting to predictive modeling. The ideal candidate is someone who enjoys working end-to-end with data : extracting, transforming, and analyzing large datasets, designing intuitive dashboards, generating actionable insights for business stakeholders, and building scalable machine learning models to improve decision-making.

Key Responsibilities

Data Analysis & Business Intelligence

Conduct comprehensive data analysis to identify trends, patterns, and opportunities within financial datasets

Generate actionable business insights to support strategic decision-making across product, risk, and operations teams

Perform statistical analysis and hypothesis testing to validate business assumptions

Monitor key performance indicators (KPIs) and financial metrics

Reporting & Visualization

Design and develop interactive Tableau dashboards and reports for various stakeholders

Create automated reporting solutions to track business performance and operational metrics

Present complex data findings to both technical and non-technical audiences

Maintain and optimize existing reporting infrastructure

Machine Learning & Predictive Analytics

Design, develop, and implement end-to-end machine learning models for various fintech applications (fraud detection, credit scoring, customer segmentation, risk assessment)

Perform feature engineering, model selection, and hyperparameter tuning

Deploy models into production environments and monitor model performance

Collaborate with engineering teams to integrate ML solutions into existing systems

What We’re Looking For

Must-Have :

2–4+ years of experience in business analytics / data science or a related role.

Strong SQL skills for querying large-scale datasets.

Proficiency in Python for data analysis and ML modeling.

Hands-on experience with Tableau (or similar BI tools) for reporting / dashboarding.

Solid understanding of statistics, data visualization best practices, and hypothesis testing.

Experience with ML libraries / frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).

Excellent communication skills to explain technical concepts to non-technical stakeholders.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice-to-Have :

Experience working with cloud data platforms (AWS, GCP, Azure).

Exposure to MLOps / model deployment pipelines.

Background in fintech, credit risk, or lending analytics.

Knowledge of version control (Git), CI / CD, and modern data workflows.

What Makes You a Great Fit

⭐ Problem-Solver Mindset - You enjoy tackling challenges and finding innovative solutions

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

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

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

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

⭐ Adaptability - You thrive in a dynamic environment and embrace change

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

Why Ryewalk?

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.

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.

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.

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

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

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.

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