
Senior Data Analyst
1 day ago
We are seeking an experienced Data Scientist to join our team.
Key Responsibilities:
- Apply machine learning, deep learning, and artificial intelligence techniques to drive business insights.
- Use advanced analytics methods to extract value from large datasets.
- Perform large-scale experimentation and build data-driven models to answer business questions.
- Create hypotheses and experiments to identify hidden relationships and construct new analytics methods.
- Develop and implement Markov decision process models and healthcare economic models.
- Visualize information and develop reports on results of data analysis.
- Influence product teams through presentation of data-based recommendations.
- Spread best practices to analytics and product teams.
- Implement new tools to make data analysis more efficient.
- Ability to communicate complex results to technical and non-technical audiences.
- Excellent verbal and written communication skills.
- Support and comply with quality management system policies and procedures.
Requirements:
- Bachelor's degree in computer science, data science, or related field.
- 3+ years of professional experience working with large datasets for drawing business insights.
- 1+ years of experience in a data science role.
- Professional working knowledge of machine learning; including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL.
- Professional working knowledge of statistics and modeling techniques.
- Fluent in Python or R programming.
- Demonstrated ability to learn new technologies.
- Proficient in Microsoft Office.
Preferred Qualifications:
- Master's degree in science, technology, engineering, mathematics, or related field.
- Experience in cloud environments.
- Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.
- Professional working knowledge of statistical methodologies and tools (R, SAS, SPSS, etc.), mathematical optimization, control theory, and time-series analysis.
- Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.
Benefits:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- A dynamic and collaborative work environment.
About Us:
We are a leading organization dedicated to innovation and excellence in data science. We are committed to providing our employees with the resources and support they need to succeed in their careers.
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