Data Science Manager

Vintti is a forward-thinking staffing agency at the forefront of global talent solutions. We specialize in connecting US-based SMBs, startups, and firms with highly skilled professionals from Latin America. Our innovative approach breaks down geographical barriers, allowing businesses to tap into a rich pool of diverse talent while offering Latin American professionals access to exciting international career opportunities. Vintti builds bridges across continents, fostering cultural exchange and driving business growth through strategic staffing solutions.

A Data Science Manager is responsible for leading and overseeing data science projects and teams, ensuring the successful application of advanced analytical techniques and complex data models to extract valuable insights and drive informed decision-making. This role involves strategic planning, project management, and collaboration with various stakeholders to align data science initiatives with business objectives. By fostering a data-driven culture, the Data Science Manager plays a crucial role in leveraging data assets, optimizing processes, and delivering actionable intelligence to support the organization's growth and innovation.

- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
- Master’s or Ph.D. preferred.
- 5+ years of experience in data science or analytics.
- 2+ years of experience managing or leading a data science team.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong understanding of statistical analysis, machine learning, and predictive modeling.
- Hands-on experience with data visualization tools like Tableau, Power BI, or similar.
- Familiarity with big data frameworks and tools (e.g., Hadoop, Spark).
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Strong problem-solving skills and attention to detail.
- Excellent communication and presentation skills.
- Ability to translate complex data insights into actionable business strategies.
- Proven track record of successfully delivering data-driven projects.
- Strong project management and multitasking abilities.
- Knowledge of data governance and compliance practices.
- Ability to work collaboratively with cross-functional teams.
- Strong leadership and team mentoring capabilities.
- Continuous learning mindset and openness to adopting new technologies.
- Experience with data warehousing and data pipeline optimization.
- Familiarity with version control systems like Git.

- Lead and manage a team of data scientists and analysts.
- Develop and implement advanced statistical models and algorithms.
- Design and maintain machine learning models and predictive analytics.
- Conduct exploratory data analysis to identify trends and insights.
- Collaborate with cross-functional teams on data strategy and initiatives.
- Oversee data quality audits and validation processes.
- Create and manage documentation for data science processes.
- Evaluate and refine model performance for improved accuracy.
- Communicate findings through reports, dashboards, and presentations.
- Manage timelines, priorities, and deliverables for data science projects.
- Stay updated on industry trends and emerging technologies.
- Promote best practices in data modeling and analysis.
- Foster a culture of learning and continuous improvement.
- Coordinate with IT and data engineering on data infrastructure.
- Facilitate stakeholder alignment on data science initiatives.
- Provide actionable recommendations from data analysis.
- Develop data governance and compliance policies.
- Create data visualizations to support data-driven storytelling.
- Advocate for data-driven decision-making.
- Troubleshoot technical issues related to data platforms.

The ideal candidate for the Data Science Manager role is a seasoned professional with a robust background in data science, holding at least a bachelor's degree in Data Science, Statistics, Computer Science, or a related field, with a master’s or Ph.D. preferred. They possess over five years of experience in data science or analytics, including at least two years of leadership experience managing high-performing data science teams. This individual demonstrates a strong proficiency in programming languages such as Python, R, or SQL, alongside a deep understanding of statistical analysis, machine learning, and predictive modeling. Their hands-on experience with data visualization tools like Tableau or Power BI, familiarity with big data frameworks such as Hadoop and Spark, and adeptness with cloud platforms like AWS, Google Cloud, or Azure, sets them apart. The candidate excels in both analytical and problem-solving skills, coupled with exceptional communication and presentation abilities that allow them to translate complex data insights into actionable business strategies. They are strategic thinkers with a visionary approach to data science, adaptable to rapidly evolving technologies, and driven by a continuous learning mindset. Furthermore, they exhibit strong business acumen, enabling them to align data initiatives with business goals, while fostering a culture of continuous improvement and learning within their team. Their commitment to data quality, excellent project management, and multitasking abilities, combined with outstanding organizational skills and a proactive problem-solving approach, define their professional excellence. The ideal candidate balances technical expertise with collaborative, cross-functional teamwork, aiming to leverage data-driven insights to drive meaningful business outcomes.

- Lead, mentor, and develop a team of data scientists and analysts to meet project goals.
- Design and implement advanced statistical models and algorithms for data analysis.
- Collaborate with cross-functional teams to define data collection and analysis strategies.
- Oversee the design and delivery of machine learning models and predictive analytics solutions.
- Monitor and evaluate the performance of models and refine them for better accuracy.
- Conduct exploratory data analysis to extract insights and identify trends.
- Communicate findings and insights through reports, dashboards, and presentations.
- Ensure data quality and integrity through regular audits and validation processes.
- Develop and maintain documentation for data science processes and workflows.
- Manage timelines, priorities, and deliverables for multiple data science projects.
- Stay abreast of industry trends and emerging technologies to drive innovation.
- Drive the adoption of best practices in data modeling and analysis.
- Foster a culture of continuous improvement and learning within the team.
- Coordinate with IT and data engineering teams to optimize data infrastructure and pipelines.
- Facilitate stakeholder meetings to align data science initiatives with business objectives.
- Analyze and interpret complex data sets to provide actionable recommendations.
- Develop policies and procedures for data governance and compliance measures.
- Utilize data visualization tools to create compelling visual narratives.
- Advocate for the utilization of data-driven decision-making across the organization.
- Troubleshoot and resolve technical issues related to data warehousing and analytics platforms.

- Strong leadership abilities with a track record of managing high-performing teams.
- Exceptional analytical and problem-solving skills.
- High level of technical expertise and proficiency in data science methodologies.
- Excellent communication and presentation abilities for conveying complex insights.
- Visionary thinker with a strategic approach to data science.
- Adaptability to rapidly changing technologies and methodologies.
- Strong business acumen and ability to align data initiatives with business goals.
- Collaborative mindset and ability to work cross-functionally.
- Drive for continuous learning and innovation.
- High attention to detail and commitment to data quality.
- Ability to translate data insights into actionable strategies.
- Strong project management skills and multitasking abilities.
- Self-motivated with a proactive approach to problem-solving.
- Excellent organizational skills and ability to manage multiple projects simultaneously.
- Commitment to fostering a culture of learning and improvement within the team.

- Competitive salary range: $120,000 - $150,000
- Comprehensive health insurance (medical, dental, vision)
- 401(k) retirement plan with company match
- Paid time off (PTO) and company holidays
- Flexible work hours and remote work options
- Professional development and training opportunities
- Tuition reimbursement for relevant courses and certifications
- Employee wellness programs and resources
- Parental leave and family-friendly policies
- Performance bonuses and annual raises
- Life and disability insurance
- Employee assistance program (EAP)
- Access to cutting-edge technology and tools
- Collaborative and inclusive work environment
- Opportunities for career advancement and leadership roles
- Company-sponsored conferences and industry events
- Team-building activities and company outings
- Stock options or equity participation
- Relocation assistance if applicable