Senior Data Scientist Integrant Inc

Key Responsibilities:

• Apply statistical and machine learning techniques to analyze structured and unstructured data.
• Develop and implement predictive models, recommendation systems, and other data products.
• Work on the exploration and implementation of generative AI techniques to develop innovative applications that enhance business processes and customer experiences.
• Collaborate with cross-functional teams to identify opportunities and provide data-driven solutions.
• Present insights and findings to clients in a clear and actionable manner.
• Mentor and guide junior team members in data science methodologies and best practices.
• Stay updated with the latest advancements in data science and machine learning fields.

• 5+ years of experience in data science or related field.
• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Proficient in applying machine learning techniques and algorithms (e.g., decision trees, random forests, SVMs, KNNs).
• Deep understanding of basic and advanced neural network architectures.
• Hands on experience with deep learning frameworks (e.g., pytorch, tensorflow, keras).
• Experience with data visualization and storytelling tools (e.g., Tableau, Power BI).
• Knowledge of SQL and database systems to extract and manipulate data.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with cloud technologies (e.g., Azure, AWS) is a plus.
• Knowledge of data platforms such as Databricks, Snowflake, or similar is a plus.