Machine Learning Strategist
7 days ago
About SWATX
We are a pioneering organization that leverages data science and analytics to drive business growth and improvement. As a Senior Data Science Manager, you will play a key role in shaping our data strategy and leading a high-performing team of data scientists.
Job Description
The ideal candidate will have a strong background in data science, with expertise in machine learning, statistical modeling, and advanced analytics. You will be responsible for developing and implementing the overall data science vision, strategy, and framework to align with organizational goals. Your leadership skills will enable you to foster a culture of collaboration, innovation, and continuous learning within your team.
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
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