Data Science

Requirements & Qualifications:

• Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline.
• Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning.
• 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have.
• Familiarity with PySpark and Databricks is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.