Lead Data Scientist

We are a global digital business services organization with a mission to improve the way people and companies work. Forever. Our Consulting, Delivery and Learning teams design and deliver transformational digital products and experiences that add value to our clients’ businesses and to their customers’ lives.

Every day, across the world, our teams are pioneering faster, better ways to bring our client’s most exciting ideas to life.

We are looking for a seasoned Lead Data Scientist to help us shape Emergn’s exciting future and play an important role in our growth.

Key Responsibilities

• Build and refine predictive models using machine learning algorithms to forecast business outcomes and support decision-making processes.
• Apply techniques such as regression, classification, clustering, and time-series analysis.
• Work closely with product managers, engineers, and business analysts to understand business requirements and translate them into data-driven solutions.
• Collaborate on projects to integrate data science solutions into production environments.
• Perform complex statistical analysis to identify patterns, trends, and correlations in large datasets.
• Conduct hypothesis testing, A/B testing, and other statistical techniques to validate findings.
• Represent the company at industry conferences, seminars, and webinars by presenting on advanced data science topics, methodologies, and case studies.
• Participate in panel discussions and workshops to share insights and trends in data science.
• Optimize data processing workflows for performance and scalability.
• Mentor junior data scientists and provide guidance on best practices in data analysis, modeling, and coding.
• Lead data science initiatives and ensure alignment with organizational goals.
• Stay updated with the latest advancements in machine learning, AI, and data science.
• Organize internal workshops, training sessions, and knowledge-sharing events to promote data literacy and advanced analytical techniques within the company.
• Develop and champion best practices, standards, and guidelines for data science activities.
• Experiment with new algorithms, tools, and techniques to drive innovation within the team.
• Continuously improve data science workflows and processes for efficiency and scalability.

Skills, Knowledge and Expertise

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 5+ years of experience in data science, machine learning, and statistical modeling.
• Proven track record of leading data science projects from ideation to production.
• Experience mentoring junior data scientists and collaborating with cross-functional teams.
• Industry-specific knowledge (e.g., finance, healthcare, retail) to tailor data science solutions to business needs.
• Excellent communication skills for explaining technical concepts to non-technical stakeholders.
• Experience presenting findings and recommendations to senior leadership.

Ready to make an impact?

Join us today!

About Emergn

At Emergn, we’re driven to improve the way people and companies work. Forever. We are enablers of ideas, champions of our client’s vision and recognized experts at using innovation to help you better connect with customers.