Data Science and Machine Learning Leader
7 days ago
In this dynamic role, you will have the opportunity to lead cutting-edge data science and machine learning projects for our clients. As a Data Science and Machine Learning Leader, you will be responsible for designing and implementing innovative solutions that drive business value and growth.
About the RoleYou will work closely with cross-functional teams to develop and implement data-driven strategies that meet our clients' needs. Your expertise in data science and machine learning will enable you to analyze complex data sets, identify trends, and develop predictive models that inform business decisions.
This is an exceptional opportunity to join a leading professional services firm and contribute to the development of innovative data science and machine learning solutions that make a real impact on our clients' businesses.
Key Responsibilities- Lead the design and implementation of data science and machine learning projects from inception to delivery.
- Develop and maintain strong relationships with clients and internal stakeholders to understand their data science and machine learning needs.
- Analyze complex data sets to identify trends, patterns, and insights that inform business decisions.
- Design and develop predictive models that accurately forecast business outcomes and optimize performance.
- Collaborate with cross-functional teams to integrate data science and machine learning solutions into our clients' operations.
- Stay up-to-date with emerging trends and technologies in data science and machine learning and apply this knowledge to drive innovation and excellence.
To be successful in this role, you will need:
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
- 6-10 years of experience in data science and machine learning, with a strong background in programming languages such as Python, R, or SQL.
- Experience working with big data tools and technologies such as Hadoop, Spark, or NoSQL databases.
- Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, regression, classification, clustering, and neural networks.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Excellent problem-solving and analytical skills, with a strong attention to detail and ability to work under pressure.
We offer a comprehensive compensation package, including a salary range of $124,300 to $227,900, depending on location and experience. Our benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
EY is committed to creating a diverse and inclusive workplace and is an equal opportunity employer. We welcome applications from qualified candidates who share our values and are passionate about data science and machine learning.
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