Staff Engineer, Data Science

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

REQUIREMENTS:

• Total Experience 6+years.
• Should have strong proficiency in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Must have expertise in statistical modeling, forecasting, and optimization techniques.
• Should have hands-on experience with data visualization tools (Power BI, Tableau).
• Must have knowledge of cloud platforms (AWS, GCP, Azure) and ML pipelines (Airflow).
• Should have excellent communication skills to present insights to business leaders.
• Should have experience in retail, inventory management, or supply chain analytics.
• Should be familiar with big data technologies (Spark, Hadoop).

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.