Senior Data Scientist

About Us

tossdown is a SaaS-based marketing agency offering e-commerce and digital marketing solutions tailored to the food industry. We work with food businesses to build e-commerce websites, mobile apps, and deliver impactful digital marketing strategies. Our mission is to help food brands grow by enhancing their online presence and driving sales growth.

Job Description

• Collect, clean, and analyze large and complex datasets from multiple sources
• Build and maintain scalable data pipelines to extract, process, and structure data
• Design and implement data monitoring, validation, and quality assurance systems to ensure accuracy and reliability
• Perform data mining, statistical analysis, and pattern recognition to generate actionable business insights
• Identify trends, anomalies, and correlations in customer, product, and marketing data
• Apply statistical modeling and machine learning techniques to solve business problems
• Develop predictive models for customer behavior, demand forecasting, and business performance optimization
• Evaluate and improve model performance using appropriate metrics and validation techniques
• Build Python-based tools for data processing, analytics, visualization, and decision support systems
• Develop dashboards and reports to support business, product, and marketing teams
• Use data analysis and modeling to support data-driven decision making across the organization
• Translate complex data outputs into clear, actionable insights for leadership and stakeholders
• Work closely with product, engineering, marketing, and business teams to understand requirements and deliver data solutions
• Align data initiatives with business goals across SaaS and restaurant ecosystem
• Research and apply best practices in data science, analytics, and statistical modeling
• Ensure scalability, consistency, and efficiency of data processes and analytical systems
• Contribute to improving overall data maturity and decision-making culture within the organization

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field
• 3-5 years of experience in Data Science, Machine Learning, or Advanced Analytics working with large-scale datasets
• Strong understanding of Data Science fundamentals, including data structures, statistical thinking, and analytical methods
• Hands-on experience in data wrangling, data cleaning, transformation, and feature preparation for analysis and modeling
• Experience in data mining, exploratory data analysis (EDA), and pattern discovery for real-world business problems
• Strong proficiency in SQL for advanced querying, data extraction, and large-scale dataset analysis
• Experience working with structured, semi-structured, and transactional data from multiple sources
• Ability to design and interpret data models, metrics frameworks, and analytical structures for business insights
• Experience in building and maintaining data pipelines for reliable and scalable data flow
• Strong familiarity with data validation, data quality checks, and consistency frameworks
• Experience in data visualization and storytelling using dashboards and reporting tools for decision-making
• Ability to convert raw data into actionable Data Science insights that drive business decisions and strategy
• Strong analytical mindset with focus on data accuracy, consistency, reproducibility, and scientific thinking