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Data Scientist Jobs
Company | CoEAdapt Inc. |
Address | Los Angeles, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Staffing and Recruiting |
Expires | 2023-07-31 |
Posted at | 9 months ago |
Coeadapt is seeking a highly skilled and creative data scientist with a passion for optimizing data models and delivering impactful insights. The ideal candidate will be proficient in various statistical and machine learning techniques and have a proven track record of applying those methodologies to real-world business problems. The successful Data Scientist will play a pivotal role in our organization's growth and success by guiding our decisions and enriching our understanding of our customers and market.
Key Responsibilities
Key Responsibilities
- Develop data models and machine learning algorithms to support predictive and prescriptive analytics that can inform business decisions.
- Build and maintain dashboards, reports, and visualizations that communicate insights in a clear and actionable manner.
- Evaluate and refine existing models to improve accuracy, performance, and robustness.
- Work with the data engineering team to design and implement data pipelines that enable data-driven solutions to flow seamlessly.
- Collaborate with cross-functional teams to identify and execute data-driven solutions that drive business growth and optimize operations.
- Continuously analyze data to identify trends, patterns, and insights that can serve as inputs for new models and decision-making processes.
- Design and implement custom algorithms and models that integrate large sets of data using advanced techniques such as regression analysis, clustering, decision trees, etc.
- Advanced knowledge of statistical and machine learning tools (e.g., Python, R, SQL).
- Excellent analytical and quantitative skills, with an ability to extract actionable insights from large and complex datasets.
- Experience with Big Data technologies (e.g., Hadoop, Spark, Cassandra).
- Minimum of 4 years of experience in a data scientist role or similar.
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
- Strong problem-solving skills with an ability to work independently and in a team environment.
- Strong communication and presentation skills, with an ability to communicate complex results to technical and non-technical stakeholders.
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