Data Science Manager
5 months ago
**Role Overview**:
**Key Responsibilities**:
- Develop and implement data science strategies aligned with business objectives.
- Lead a team of data scientists and analysts, providing mentorship and fostering a collaborative environment.
- Analyze large datasets to identify trends, patterns, and opportunities for business growth.
- Utilize advanced statistical techniques and machine learning algorithms to derive actionable insights.
- Design and generate comprehensive reports and dashboards to support decision-making processes.
- Present findings to senior management and stakeholders in a clear and concise manner.
- Collaborate with sales and marketing teams to optimize campaigns and improve customer acquisition and retention.
- Develop predictive models to enhance lead generation, customer segmentation, and targeted marketing efforts.
- Oversee multiple data science projects, ensuring timely delivery and alignment with business goals.
- Manage project timelines, resources, and deliverables, while maintaining high standards of quality.
- Implement best practices in data management, data governance, and data quality.
- Stay updated with the latest advancements in data science, machine learning, and analytics technologies.
**Required Qualifications**:
- ** Education**:Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
- ** Experience**:Proven track record in data science and analytics, with a minimum of 5 years in a similar role.
- ** Skills**:
- Proficiency in data analysis tools such as Python, R, SQL, and data visualization tools like Tableau or Power BI.
- Strong knowledge of machine learning frameworks and algorithms.
- Experience with CRM platforms (Salesforce, HubSpot) and marketing automation tools (Mailchimp, LinkedIn Sales Navigator).
- Excellent project management skills and ability to manage multiple priorities.
- Strong analytical and problem-solving abilities.
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