RSA- Senior Data Scientist

Principal Responsibilities

• Architect and implement advanced machine learning models and predictive analytics pipelines.
• Lead end-to-end data science projects: from business problem framing to deployment and monitoring.
• Evaluate and integrate new data sources and technologies to enhance model performance.
• Translate complex data insights into actionable business strategies.
• Oversee data quality, governance, and compliance across projects.
• Mentor junior team members and foster a culture of continuous learning and experimentation.
• Present findings to stakeholders through compelling storytelling and visualization.

Skills

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data science, machine learning, or AI.
• Proficiency in Python or R, and strong SQL skills.
• Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop).
• Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong background in data modeling, data warehousing (Snowflake, Redshift, BigQuery), and pipeline architecture.
• Excellent communication skills with the ability to influence non-technical stakeholders.
• Proven track record of leading successful data science projects and mentoring teams.

Education & Experience

• Experience with real-time data processing and streaming analytics.
• Familiarity with MLOps and model deployment best practices.
• Publications or contributions to open-source data science projects.
• Certifications in cloud or data science technologies.

About the Role

We are seeking a strategic and technically adept Senior Data Scientist with 5+ years of experience to lead data-driven initiatives across the organization. This role demands a deep understanding of advanced analytics, machine learning, and data architecture, with the ability to mentor junior team members and influence business strategy through data insights.

About the Company

RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment.

Category

AI & Machine Learning