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SeniorFull-timePythonRustMachine LearningData ScienceAINLPData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Data Science Leader to join our team. This role involves acting as a trusted thought partner to senior business leaders and leading the development of data-driven solutions that influence key business decisions.
Key Responsibilities
- →Act as a trusted thought partner to senior business leaders, proactively identifying opportunities where data science can drive strategic outcomes in collaboration with teams across Product, Marketing, Operations and Finance.
- →Translate complex business challenges into analytical frameworks and lead the development of data-driven solutions that influence product, marketing, operations, and finance decisions.
- →Deliver compelling, actionable insights through storytelling, quantifying business impact and aligning recommendations with strategic priorities.
- →Prioritize initiatives based on business value, feasibility, and stakeholder alignment, ensuring the team is focused on the highest-impact opportunities.
- →Lead end-to-end development of advanced analytics and machine learning solutions, from data exploration to model deployment.
- →Leverage large-scale datasets using tools such as Hive/R/SQL/Python/SAS to uncover insights and optimize business performance.
- →Champion the use of AI-powered tools to enhance productivity and accelerate delivery.
- →Develop intuitive visualizations and dashboards to communicate insights to technical and non-technical audiences.
- →Implement MLOps best practices and collaborate with data engineering to ensure robust pipelines and data governance.
- →Mentor junior data scientists, fostering a culture of innovation, collaboration, and continuous learning.
- →Set technical direction, establish best practices, and ensure scientific rigor and scalability in all deliverables.
- →Review peer work as needed, including code, models, and analytical outputs, to maintain high quality and business relevance.
- →Encourage exploration of emerging techniques such as NLP, deep learning, and generative AI where applicable.
- →Communicate complex technical concepts in clear, actionable terms to executive and non-technical audiences.
- →Drive adoption of data science solutions by demonstrating their value in solving real-world business problems.
Requirements
- ✓Proven experience in data science leadership roles
- ✓Strong technical background in analytics and machine learning
- ✓Experience with large-scale datasets and relevant tools
- ✓Ability to communicate complex concepts clearly
- ✓Track record of driving data-driven solutions in business contexts
