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Data Scientist
Skills
AnalyticsData AnalyticsData ScienceData VisualizationExploratory Data AnalysisMachine Learning AlgorithmsNosql
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field preferred
- 3+ years in data science, machine learning or related field
- Proficient in Python, R, or Java
- Experience in statistical analysis and modeling
- Skilled in data visualization tools such as Tableau or Power BI
- Knowledge of database technologies like SQL, NoSQL, or MongoDB
- Strong problem-solving ability
- Excellent communication skills for presenting technical concepts to non-technical stakeholders
- Must have Gen AI experience
Nice to have
- Flexible
- Proactive
- Organized
- Positive
- Problem-solving
- Good communicator
- Strong analytical skills
- Enjoys working with cross-functional teams
Day to day
- Analyze data: assessing quality, profiling, cleansing, exploratory data analysis and transformation of large datasets for statistical models.
- Develop machine learning algorithms to provide solutions for business problems, adhering to specific business use case requirements.
- Design and develop statistical models, including regression, classification, anomaly detection, clustering, deep learning, and feature reduction models.
Hiring process
- Email TalentAcquisition@zelis.com for accommodations
- Be aware of scams