
Data Science Leader
12 hours ago
This role is an opportunity to leverage technical expertise and creativity to tackle complex business problems. We are looking for a Data Science leader who can drive innovation and growth.
The ideal candidate will have experience in applied Machine Learning, AI, and analytics, as well as scientific programming skills in languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP).
The selected candidate will be responsible for guiding a team to execute on a structured data science roadmap, handling end-to-end client AI & analytics programs, and discovering solutions hidden in large datasets.
We are looking for a self-starter who can work well with minimal guidance and has excellent written and verbal communication skills.
Required Skills and Qualifications- A B-Tech/M-Tech/MBA from a top-tier Institute preferably in a quantitative subject
- 14+ years of hands-on experience in applied Machine Learning, AI, and analytics
- Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
- Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts
- Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.
Our organization offers a vibrant inclusive culture of mutual respect and fun through both work and play. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo.
OthersAs a Data Science leader at our organization, you will have the opportunity to build scalable client engagement level processes for faster turnaround & higher accuracy, define technology/strategy and roadmap for client accounts, and guide implementation of that strategy within projects.
Manage the team-members, to ensure that the project plan is being adhered to over the course of the project, and build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
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