Senior Data Science Manager

SWATX; Muscat; On-site; OMR 15,000 - 20,000; Full time

Job summary

An innovative firm is seeking a Senior Data Science Manager to lead strategic data initiatives and drive innovation in predictive modeling and machine learning. This pivotal role involves overseeing a talented team, collaborating with senior leadership, and delivering actionable insights that enhance business performance. The successful candidate will develop a comprehensive data science vision, implement complex algorithms, and foster a culture of continuous learning. If you're passionate about leveraging data to drive business success and lead a dynamic team, this opportunity is perfect for you.

Qualifications

• Proven experience in leading data science teams and projects.
• Strong knowledge of machine learning algorithms and statistical models.

Responsibilities

• Develop and implement the overall data science vision and strategy.
• Lead a high-performing team of data scientists and drive innovation.

Skills

Predictive Modeling

Machine Learning

Advanced Analytics

Collaboration

Mentorship

Education

Master's Degree in Data Science or related field

PhD in a relevant field

Tools

Python

R

SQL

Tableau

Job description

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

1. Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
2. Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
3. Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
4. Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
5. Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
6. Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies.
7. Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
8. Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.