Data Scientist - Machine Learning (4-12 yrs)

Location : Mumbai

WFO

Skills : Data Science, Machine Learning, Python, SQL, Marketing Analytics Domain (Preferred), AWS Sagemaker (Preferred)

Job Description :

- Minimum 4-12 yrs of exp required in Data science & Machine learning

- Extensive experience in leading Data Science and Advanced Analytics delivery teams

- Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP

- Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc.

- Solid knowledge in at least more than two of the following : Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc)

- Experience in working with Pricing models is a plus

- Experience in atleast one of these business domains : Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain

Roles and Responsibilities :

- Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients.

- Refining and improving data science models based on feedback, new data, and evolving business needs.

- Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients.

- Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions.

- Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment