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4 days ago
As a senior data scientist, you will play a key role in driving business growth through data-driven insights and predictive modeling. Your expertise in machine learning, statistical modeling, and data mining will be essential in uncovering trends and patterns in large datasets.
Job Responsibilities- Lead the development and execution of data science projects from problem formulation to deployment of machine learning models.
- Collaborate with cross-functional teams to identify business opportunities and translate them into actionable data science projects.
- Design and implement machine learning algorithms and statistical models to solve complex business problems.
- Perform exploratory data analysis to gain valuable insights and identify patterns in large and complex datasets.
- Work closely with data engineers to build robust and scalable data pipelines.
- Evaluate and validate models using appropriate performance metrics and statistical techniques.
- Present findings and insights to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest advancements and best practices in data science and machine learning.
- Mentor and guide junior data scientists in the team.
- A master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
- At least 5 years of industry experience as a data scientist.
- Strong knowledge and experience in machine learning, statistical modeling, and data mining.
- Proficiency in Python or R for data analysis and modeling.
- Experience with big data technologies such as Hadoop, Spark, or SQL.
- Experience with deep learning frameworks like TensorFlow or PyTorch is a plus.
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively in cross-functional teams.
- Attention to detail and ability to multitask.
This is a challenging and rewarding role that offers opportunities for professional growth and development.
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