Lead Data Scientist – AI

Vortalsoft Inc; New Jersey; On-site; USD 120,000 - 150,000; Full time

Job summary

Vortalsoft Inc in New Jersey is seeking a highly skilled Lead Data Scientist with 7-10 years of experience. This role focuses on leading data-driven initiatives and mentoring a team to drive innovative solutions that deliver business value.

The ideal candidate will design comprehensive data science strategies, collaborate with cross-functional teams, and utilize advanced statistical methods to develop robust predictive models while fostering a culture of data literacy.

Qualifications

• 7-10 years of experience in Data Science.
• Proven expertise in statistical methods and machine learning algorithms.
• Experience leading teams and mentoring junior data scientists.

Responsibilities

• Design and implement a data science strategy.
• Lead and mentor a team of data scientists.
• Oversee end-to-end development of data science projects.
• Collaborate with stakeholders to identify business challenges.
• Utilize advanced statistical methods to develop predictive models.
• Manage integration of data from multiple sources.
• Establish metrics to evaluate model performance.
• Conduct workshops on data science methodologies.

Skills

Machine Learning

Artificial Intelligence

Statistics

Deep Learning

Data Science

Job description

We are seeking a highly skilled Lead Data Scientist with 7-10 years of experience in Data Science, Machine Learning, Artificial Intelligence, Statistics, and Deep Learning. The ideal candidate will be responsible for leading data-driven initiatives, mentoring a team of data scientists, and collaborating with cross-functional teams to develop innovative solutions that drive business value.

Key Responsibilities

• Design and implement a comprehensive data science strategy aligned with organizational goals, focusing on leveraging data for actionable insights.
• Lead and mentor a team of data scientists and analysts, fostering a culture of innovation and continuous improvement. Provide guidance on best practices in data science and machine learning.
• Oversee the end-to-end development of data science projects, including problem definition, data collection, model development, and deployment.
• Work closely with stakeholders across various departments to identify business challenges and opportunities for data-driven solutions. Facilitate cross-functional collaboration to ensure alignment on project goals.
• Utilize advanced statistical methods and machine learning algorithms to develop predictive models and analytical solutions. Ensure models are robust, scalable, and maintainable.
• Manage the integration of data from multiple sources, ensuring data quality and accessibility for analysis.
• Establish metrics and monitoring systems to evaluate model performance and business impact. Continuously refine models based on feedback and new data.
• Promote data literacy within the organization by conducting workshops and training sessions on data science methodologies and tools.