Senior Data Scientist Data & Analytics

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.

Benefits

• Comprehensive health insurance, along with life insurance 
• A flexible work environment: you can work remotely or hybrid from one of our locations 
• Working with the latest tools and technologies on meaningful client engagements 
• Career growth opportunities and a clear progression framework 
• Local teambuilding activities and get-togethers to strengthen your sense of belonging and encourage meaningful relationships with your colleagues.  
• Two weeks per year for you to work from a location of your choice, expanding your horizons while staying connected to your team 
• Generous referral bonus program, quarterly and yearly company awards with financial incentives 
• 8 hours of paid volunteering 

• Helping to better define their thinking, including shaping their product organization and clarifying and communicating their product strategy.  
• Developing their people by delivering exemplary training in product management, modern ways of working, and leadership.  
• Delivering their outcomes by building customer-centric products and customer experiences.