
Data Science Leader
17 hours ago
Senior Data Science Manager Position
We are seeking a visionary Senior Data Science Manager to lead our data science initiatives. This pivotal role involves overseeing the strategic direction and execution of data science projects across the organization.
Key Responsibilities- Develop and Implement Data Science Vision: Create an overall data science vision, strategy, and framework that aligns with organizational goals.
- Lead High-Performing Team: Foster a culture of collaboration, innovation, and continuous learning among data scientists.
- Execute Strategic Projects: Drive the execution of strategic data science projects that ensure alignment with business objectives and delivery of actionable insights.
- Collaborate with Stakeholders: Work with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
- Oversee Machine Learning Algorithms: Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
- Mentorship and Professional Development: Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
- Present Findings and Recommendations: Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.
- Master's Degree or Ph.D.: A Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field is required.
- Leadership Experience: Minimum 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams.
- Programming Skills: Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark).
- Machine Learning Techniques: Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies.
- Project Management Skills: Proven track record of successfully leading and delivering large-scale data science projects that drive business value.
- Data Visualization Tools: Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses.
- Communication Skills: Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders.
- Certified Data Scientist: Certified Data Scientist (CDS)
- Azure Data Scientist Associate: Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer: Google Cloud Professional Data Engineer
- Seniority Level: Mid-Senior level
- Employment Type: Full-time
- Job Function: Information Technology
- Industries: IT Services and IT Consulting
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