The Senior Data Scientist leads complex data science projects, develops advanced analytics solutions, and drives innovation within the organization. They mentor junior team members, collaborate with cross-functional teams, and play a pivotal role in shaping the company's data strategy. Leveraging their expertise, they solve challenging business problems, develop cutting-edge machine learning models, and communicate insights to senior stakeholders.

Responsibilities and Functions

1. Lead and manage complex data science projects from conception to implementation.

2. Develop and implement sophisticated machine learning models and algorithms to address critical business challenges.

3. Design and oversee scalable data pipelines and ETL processes.

4. Collaborate with senior leadership to identify strategic opportunities for data-driven improvements.

5. Mentor and guide junior data scientists and analysts, fostering professional growth.

6. Establish best practices and standards for data science methodologies within the team.

7. Conduct advanced statistical analyses and develop innovative approaches for extracting insights from complex datasets.

8. Lead the evaluation and adoption of new technologies and techniques in data science and machine learning.

9. Present complex findings and actionable recommendations to executive leadership and key stakeholders.

Requirements

Master’s degree
Specialized Knowledge (Advanced)
Machine Learning
Deep Learning
Causal Inference
Big Data technologies
Upper Intermediate English proficiency
Technical Skills
Python (Expert)
SQL (Expert)
Cloud platforms (Snowflake, AWS/Azure/GCP - Advanced)
Computer Skills: Proficient in Microsoft Office (Word, Excel, PowerPoint, Forms, Teams) and Drive
Experience
5+ years in data science or related fields
3+ years in a senior role
Service-oriented, strategic thinker, problem solver, organized, proficient in time-series analysis skills