
Visionary Data Science Leader
1 week ago
This role offers the opportunity to push boundaries by combining technical expertise and creativity to tackle complex business problems and convert them into straightforward solutions.
As part of a fast-paced, diverse environment, you will be part of a high-performing team that works together to energize and inspire each other by challenging the status quo.
Our vibrant, inclusive culture fosters mutual respect and fun through work and play.
Key Responsibilities:
- Develop a structured analytics roadmap and guide a team to successfully execute on it.
- Lead end-to-end client AI & analytics programs in a dynamic environment. Your role will involve hands-on contribution, technical team management, and client interaction.
- Proven ability to discover solutions hidden in large datasets and drive business results with data-based insights.
- Contribute to internal product development initiatives related to machine learning.
- Deliver complex projects with excellent project management, including effort/time estimation.
- Take full ownership of engagements and build scalable client engagement processes for faster turnaround & higher accuracy.
- Define Technology/Strategy and Roadmap for client accounts, guiding implementation within projects.
- Manage team members to ensure adherence to project plans over the course of the project.
- Build trusted advisor relationships with IT management at clients and internal accounts leadership.
Mandated Skills:
- A degree from a top-tier Institute in a quantitative subject.
- 14+ years of experience in applied machine learning, AI, and analytics.
- Experience in scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP).
- Proficiency in Python libraries such as numpy, pandas, scikit-learn, tensorflow, scrapy, BERT etc.
- Strong grasp of machine learning, deep learning, data mining, and statistical concepts, with experience in developing models and solutions in these areas.
- Expertise in client engagement, understanding complex problem statements, and offering solutions in domains such as Supply Chain, Manufacturing, CPG, Marketing etc.
Desired Skills:
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
- Comfortable with large-scale data processing and distributed computing.
- Providing required inputs to sales, and pre-sales activities.
- A self-starter who can work well with minimal guidance.
- Excellent written and verbal communication skills.
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