
Data Scientist Leader
11 hours ago
Job Summary
">We are seeking a visionary leader to spearhead our AI/ML initiatives and drive business outcomes. The ideal candidate will be a thought leader, partnering with senior leadership to understand business processes and propose strategic use of AI/ML to enhance operational efficiencies.
">Key Responsibilities
">- ">
- Translate business problems into analytical challenges and develop solutions leveraging AI/ML techniques to drive strategic initiatives end-to-end.">
- Define and develop approaches to scale AI/ML agenda through various AI/ML solutions.">
- Enable business decision-making and co-create data-driven business strategies through storytelling with data and presenting insights to top business leaders.">
- Drive AI & Analytics projects end-to-end, including conceptualization, development, implementation, and continuous monitoring.">
- Build and manage external relationships with cross-industry forums to seek new and innovative approaches.">
Required Skills and Qualifications
">The successful candidate should possess:
">- ">
- A Master's degree in a quantitative field (e.g., mathematics, computer science, engineering, statistics, economics) from a top-tier institute.">
- At least 12-15 years of work experience in analytical roles, preferably post-graduation.">
- Strong collaboration skills, with the ability to influence and challenge conventional thinking.">
- Exceptional abilities in analytical thinking, storytelling with data, and presenting insights to top business leaders.">
- Demonstrated passion for AI/ML/Data Science/Gen AI through developed solutions.">
- Hands-on experience with various open-source tools and technologies (e.g., Python, R, Spark).">
- Experience with deploying AI/ML solutions in cloud environments.">
- Experience with ML/DL/Gen AI frameworks.">
- Deep understanding of cloud-based frameworks and services around Gen AI, Vision, Text, and Speech AI.">
- At least 8 years of experience in a client-facing data science consulting role.">
Benefits
">The measure of success in this role includes:
">- ">
- Forming partnerships with functional leaders and influencing decision-making through data.">
- Improving operational efficiencies and enabling business goals achievement of functions supported.">
- Executing organization-wide initiatives.">
- Number of AI/ML use case implementations.">
- Improvements in algorithm outcome and ensuring model performance as expected at all times.">
- Managing team engagement, growth, and talent pipeline.">
About Us
">This role offers a unique opportunity to leverage your expertise in AI/ML and make a meaningful impact on the organization.
">TITLE
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