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About SWATX
We are a forward-thinking organization dedicated to harnessing the power of data science and analytics to drive business growth and efficiency. As a Senior Data Science Manager at SWATX, you will be part of a dynamic team of innovators who are passionate about making a meaningful impact.
Job Overview
The successful candidate will have a proven track record of leading and delivering large-scale data science projects that drive business value. You will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization, leading a talented team of data scientists, and collaborating closely with senior leadership and cross-functional teams.
Key Responsibilities:
- Data Strategy Development: Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
- Team Leadership: Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Project Execution: Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
- Collaboration: Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
- Algorithm Design: Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
- Trend Monitoring: Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
- Mentorship: Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
- Communication: Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.
Requirements
- Education: Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience: A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams.
- Technical Skills: Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark).
- Expertise: Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies.
- Track Record: Proven track record of successfully leading and delivering large-scale data science projects that drive business value.
- Visualization Tools: Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses.
- Project Management: Strong project management skills and ability to lead teams in a fast-paced environment.
- Analytical and Strategic Thinking: Excellent analytical and strategic thinking skills, with a focus on results.
- Communication and Interpersonal Skills: Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders.
Preferred Certifications
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer