Job Description

Responsibilities:

• Ideate, design & build machine learning and analytical solutions to solve business use cases in Marketing, Logistics, Customer Service, etc.
• Gather requirements from business teams and structure them into meaningful Data Science / Analytics projects and take end-to-end ownership of the project delivery
• Work closely with various business stakeholders and other Engineering teams to deliver production-grade deployable solutions
• Work across the spectrum of statistical modeling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem.
• Work as an Analytics/Data Science subject matter expert, guide/mentor team members, and also perform code reviews to ensure a high-quality deliverable
• Own the end-to-end deliverables and use the right analytical or machine learning-based solution depending on the requirements

Requirements:

• Have good communication and presentation skills to present the data insights to the Business/Leadership teams
• Bachelor's or Master's degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems, or another quantitative field with 5-8 years of relevant work experience; demonstrable history of driving impactful data/ML projects
• Hands-on experience in developing and deploying machine learning solutions to production is mandatory
• Expert in different Machine Learning and Deep Learning modeling techniques (All types of Regressions, Tree-based methods, Dimensionality Reduction, Clustering, Neural Networks, Recommendation Systems, Market Mix Modeling, etc. )
• Experience in major machine learning frameworks such as PyTorch, Scikit-Learn, Tensorflow, Pandas, SparkML, etc., and strong hands-on coding skills with working proficiency in Python, SQL, and Linux/UNIX environments
• Hands-on experience with writing production-ready code and deployment of multiple machine learning models to production
• Prior experience working on any MLOps framework/platform
• Hands-on experience with analytical tools like SQL, Excel/Google Sheets (pivot tables), and visualization tools like Tableau/Power BI/Looker Have a strong interest in Data Science, Statistics & Analytics and stay updated with the latest happenings in this space
• Strong analytical and critical thinking skills.
• You should also have a business mindset, swift to identify risk situations and opportunities, and be able to generate creative solutions to business problems.
• Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners.