Bangalore, Karnataka, India Post Date: May 9, 2023 Full Time
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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
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.