We're looking for a Senior Data Scientist to join a high-performing data and AI team focused on delivering advanced analytics, machine learning, and Generative AI solutions at enterprise scale. This is an exciting opportunity to work on business-critical initiatives that leverage data to improve customer outcomes, optimize operations, and unlock new growth opportunities.
RESPONSIBILITIES:
- Lead the design, development, and deployment of machine learning and AI solutions that address complex business challenges.
- Partner closely with business stakeholders and cross-functional teams to identify opportunities and translate business requirements into scalable data science solutions.
- Define analytical approaches and architect end-to-end AI/ML solutions aligned to business objectives.
- Design, develop, and productionize predictive models for customer analytics, segmentation, forecasting, propensity modelling, recommendation systems, and business optimization.
- Develop and integrate Generative AI and Large Language Model (LLM) solutions into enterprise applications and workflows.
- Conduct data exploration, feature engineering, statistical analysis, and experimentation to generate actionable business insights.
- Design and execute A/B testing, uplift modelling, segmentation strategies, and experimentation frameworks to continuously improve business outcomes.
- Build scalable machine learning workflows and analytical solutions using modern cloud and big data technologies.
- Implement model governance, monitoring, explainability, and continuous performance optimization to ensure reliable production AI systems.
- Collaborate with engineering and business teams to operationalize machine learning models and analytical solutions.
- Mentor junior data scientists through technical guidance, collaborative problem-solving, code reviews, and knowledge sharing.
- Communicate analytical findings, recommendations, and technical concepts clearly to both technical and non-technical stakeholders.
- Evaluate emerging AI, machine learning, and Generative AI technologies to identify new opportunities for innovation.
REQUIREMENTS:
- 5+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong experience designing, developing, and deploying machine learning models into production environments.
- Solid understanding of statistical modelling, predictive analytics, supervised and unsupervised learning techniques.
- Hands-on experience with Generative AI, Large Language Models (LLMs), prompt engineering, model fine-tuning, evaluation techniques, and performance monitoring.
- Strong programming skills in Python and SQL for analytics and machine learning development.
- Experience working with big data technologies such as Spark, Hadoop, Hive, or Databricks.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Familiarity with machine learning lifecycle tools such as MLflow, Airflow, or similar platforms.
- Experience with software engineering best practices, including modular development, testing, version control, and reproducible machine learning workflows.
- Experience using version control platforms such as GitHub, GitLab, or Bitbucket.
- Experience developing dashboards and visualizations using Power BI or similar tools.
- Strong analytical and problem-solving skills with the ability to solve complex business problems through data-driven approaches.
- Excellent communication and stakeholder management skills, with the ability to present technical concepts and analytical insights to diverse audiences.
- Experience mentoring junior team members and contributing to collaborative, cross-functional teams.
Please contact Ella Godinez at [Confidential Information] for a confidential discussion.
Only successful candidates will be notified.
EA License No.: 16S8066
