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

Excellent Troubleshooting Abilities -

Curiosity & Continuous Learning

Ownership & Accountability

Collaboration & Communication

Adaptability

Proactive Approach

Why Ryewalk? 🚀

Impact from Day One

Wear Multiple Hats (If You Want To!)

Work With the Best

Grow at Startup Speed

Hybrid-Friendly & Flexible

Solve Real Problems

Culture That Feels Like Home