About Ryewalk /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 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 ready for the future.

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

/n /n No jargon, no fluff—just outcomes that matter. If it's a complex tech challenge, we're the team that makes it work /n About the Role /n 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. /n Key Responsibilities /n Data Analysis & Business Intelligence /n /n

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

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

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- Perform statistical analysis and hypothesis testing to validate business assumptions

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- Monitor key performance indicators (KPIs) and financial metrics

/n /n Reporting & Visualization /n /n

- Design and develop interactive Tableau dashboards and reports for various stakeholders

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- Create automated reporting solutions to track business performance and operational metrics

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

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- Maintain and optimize existing reporting infrastructure

/n /n Machine Learning & Predictive Analytics /n /n

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

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- Perform feature engineering, model selection, and hyperparameter tuning

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- Deploy models into production environments and monitor model performance

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- Collaborate with engineering teams to integrate ML solutions into existing systems

/n /n What We're Looking For /n Must-Have: /n /n

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

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- Strong SQL skills for querying large-scale datasets.

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- Proficiency in Python for data analysis and ML modeling.

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

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

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

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

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

/n /n Nice-to-Have: /n /n

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

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- Exposure to MLOps / model deployment pipelines.

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- Background in fintech, credit risk,



or lending analytics.

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

/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 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 &

• Versatile - 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.

📌 Data Scientist (Salem)
🏢 Ryewalk
📍 Salem