Data Scientist

Job Description

ABOUT / SAADAA We are a direct-to-consumer (D2C) lifestyle brand. Our vision is to advocate the / SAADAA way of living and make / BETTER basics for everyone. #RAHOSAADAA #PEHNOSAADAA Top 1% Shopify stores in India, we have been bootstrapped and profitable with industry-leading benchmarks, growing from a 100 sq. ft. garage to a 100+ people team within 4 years. So, what do we do differentlyWe focus on making the basics the heroes of our brand. To this day, we only offer 10 carefully curated styles. It might seem unconventional in an industry where variety is seen as the key to success, but weve not only made it possible; weve made it profitable. Our philosophy is focusing on whats important and letting go of the rest. Role Overview The Data Scientist at SAADAA will be responsible for leveraging data to drive actionable insights that inform business decisions. This role involves analyzing complex data sets, building predictive models, and working closely with various teams to implement data-driven strategies across marketing, product, and supply chain. The ideal candidate will have a strong analytical background, experience in machine learning, and a passion for using data to solve business challenges in a fast-paced, growth-focused environment. WHAT WILL YOU BE RESPONSIBLE FOR Data Analysis : Analyze large datasets to identify trends, patterns, and insights that support business decisions across different departments (marketing, sales, operations, etc.). Predictive Modeling : Develop and deploy machine learning models to predict customer behavior, optimize inventory, improve customer retention, and drive sales growth. Data Visualization : Create dashboards and visualizations to communicate insights effectively to non-technical stakeholders and guide strategic initiatives. Business Strategy Support : Collaborate with marketing, product, and supply chain teams to implement data-driven strategies and improve operational efficiency. Data Quality Assurance : Ensure the accuracy and consistency of data across various platforms and databases, managing data pipelines and data cleaning processes. A/B Testing : Design and execute A/B tests to measure the effectiveness of different business strategies, marketing campaigns, and product initiatives. Advanced Analytics : Apply advanced analytics techniques, including time-series analysis, regression models, and clustering algorithms, to uncover business insights and inform decisions. Automation : Develop automated systems to streamline data collection, processing, and reporting, enhancing overall efficiency across teams. Collaboration : Work closely with cross-functional teams to define business problems and deliver data-driven solutions that align with company goals. Continuous Learning : Stay up-to-date with the latest trends and technologies in data science, machine learning, and analytics to bring innovative solutions to the company. WHO YOU ARE Experience : 2+ years of experience in data science or a related field, preferably in e-commerce, retail, or a D2C environment. Strong Analytical Skills : Proficient in statistical analysis and machine learning techniques to extract meaningful insights from complex data. Programming Skills : Advanced knowledge of Python, R, or other relevant programming languages for data analysis, along with experience in libraries such as Pandas, NumPy, SciPy, and scikit-learn. Data Visualization : Proficient in tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create intuitive visualizations and dashboards. Machine Learning Expertise : Experience in building, training, and deploying machine learning models for classification, regression, clustering, and recommendation systems. SQL Database Management : Strong proficiency in SQL and experience working with relational databases like MySQL, PostgreSQL, or NoSQL databases like MongoDB. Problem-Solving : Excellent problem-solving skills, with the ability to break down complex business challenges and develop data-driven solutions. Collaboration : Strong communication and collaboration skills, able to explain complex data insights to non-technical stakeholders. Business Acumen : Understanding of business operations and the ability to link data science insights to strategic business decisions. Attention to Detail : Meticulous with data quality and processes, ensuring that all analysis is accurate and actionable. Qualifications Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. Strong portfolio of data science projects, including experience with machine learning models, statistical analysis, and business applications. Experience with cloud platforms like AWS, Google Cloud, or Azure is a plus. Previous experience in a fast-paced D2C, retail, or e-commerce environment is highly desirable. WHY BE A PART OF / SAADAA Do you feel out of place in a world full of unnecessary complexities Do you find joy in little things Are you an avid reader with a curiosity for understanding how things work and how we got here Do you believe life is simple and people around you are focusing on the wrong things Are you excited by the idea of learning new things or solving problems with the simplest solutions If the answer to all the above questions is yes, you are in the right place. The world is full of unnecessary complexities, we, as humans, do not understand the burden of unconscious consumption. We at / SAADAA believe simplicity with better basics is the way to live a fulfilling life. WHAT DO WE OFFER A team of empathetic problem solvers The Right Compensation Growth path to becoming a leader An opportunity to drive meaning with products A culture of continuous learning Freedom: freedom to explore, fail, and learn