
High-Level Data Analyst
7 days ago
Creative organizations frequently seek skilled professionals to lead data science initiatives. We are no exception.
About the RoleThis is a senior-level position in our data science department, responsible for analyzing large datasets to derive actionable insights, building predictive models, and supporting data-driven decisions across various projects.
Key Responsibilities- Lead and manage data science projects from start to finish, including problem identification, data gathering, analysis, modeling, and deployment of machine learning solutions.
- Collaborate with cross-functional teams to identify business challenges and shape them into data science projects that drive business outcomes.
- Design, implement, and optimize machine learning algorithms and statistical models to address complex business issues.
- Conduct exploratory data analysis to identify patterns and trends across large datasets.
- Work alongside data engineers to establish robust data pipelines for efficient data processing.
- Evaluate model performance using statistical metrics and validation techniques.
- Effectively communicate insights and findings to stakeholders through reports and presentations.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- At least 5 years of experience in a data science role.
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Proficient in programming languages such as Python or R for data analysis.
- Experience with frameworks and technologies for big data, including Hadoop, Spark, and SQL.
- Familiarity with deep learning frameworks, such as TensorFlow or PyTorch, is a plus.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication abilities.
- Capable of working effectively in cross-functional teams.
- Detail-oriented with the ability to manage multiple priorities and projects simultaneously.
- Paid Time Off
- Work From Home
- Health Insurance
- OPD
- Training and Development
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