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2 days ago
A senior-level data scientist position that requires a candidate with extensive experience in leading data-driven projects, designing and implementing end-to-end data science solutions, and mentoring junior team members.
About the RoleWe are seeking an expert data scientist to spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. The successful candidate will be responsible for building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.
Key Responsibilities- Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale.
- Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making.
- Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team.
- Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends.
- Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams.
- Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs.
- Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives.
- Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance.
- An advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.
- 7+ years of experience in data science.
- Demonstrated success in leading data-driven projects.
- Deep knowledge of machine learning and statistical modeling.
- Strong programming and data engineering skills.
- Excellent problem-solving and communication abilities.
- Proven track record of innovation in multiple industries.
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