Data Science Leader
hace 2 semanas
Tiger Analytics is a pioneering force in harnessing the power of AI and analytics to tackle complex business challenges globally. With a strong presence in multiple cities across the US, UK, India, and Singapore, and a substantial remote workforce, we deliver bespoke solutions powered by data and technology to several Fortune 100 companies.
We are market leaders in AI and analytics consulting, particularly in the retail and CPG industry, where we generate over 40% of our revenue. This sector is our fastest-growing area, and we are actively expanding our talent pool to meet the demand.
Job SummaryWe are seeking a highly skilled Principal Data Scientist to join our team. The ideal candidate will have a strong background in data analytics, solid knowledge of data science models, and excellent coding capabilities. This role requires a good blend of technical expertise, business acumen, and effective communication skills.
Key Responsibilities- Develop and implement cutting-edge data science solutions to drive business growth in the retail and CPG space.
- Collaborate with business partners to design and execute analytics projects that meet and exceed objectives.
- Design and deliver clear, actionable solutions and recommendations to address client business needs.
- Lead hands-on work on data analytics, model development, and testing, ensuring high-quality data files for visualization platforms.
- Conduct business analysis and provide data-driven insights to inform business decisions.
- Work closely with decision-makers to translate business questions into verifiable hypotheses and data models.
- Provide thought leadership on analytics problems and collaborate with the onsite team and clients to gather requirements and provide updates.
- Stay up-to-date with external sources of ideas through conferences and community engagements.
- Support demands from regulators, investor relations, and other stakeholders to develop innovative solutions using cutting-edge techniques and tools.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Minimum of 8 years of experience in Data Science and Machine Learning.
- Solid understanding of machine learning algorithms and statistical analysis.
- 5+ years of experience in model building and enterprise-level deployment.
- Proficiency in Python and PySpark programming languages commonly used in Data Science.
- Experience with cloud platforms such as Azure and AWS is a plus.
- Ability to preprocess and clean large datasets for analysis.
- Strong problem-solving skills and ability to think analytically.
- Excellent communication and presentation skills.
- Ability to work effectively in cross-functional teams and manage multiple projects simultaneously.
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