Sagility Health Hiring Drive 2024: Sagility Health Hiring Drive 2024 for its Data Scientist. Sagility Health Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Graduate. if you are interested, please apply as soon as possible.
Company Name: Sagility Health
Role: Data Scientist
Location: Bengaluru
Experience: 0 – 3 years
Qualification: Graduate
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Sagility Health Hiring Drive 2024
Job Description:
- Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members.
- The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics.
- Sagility has more than 25,000 employees across 5 countries.
- To conduct data science projects, develop models, and contribute to decision-making processes.
- Data Scientists work on implementing advanced solutions and ensuring the accuracy and reliability of data science models.
Requirements:
- Excellent communication skills, both written and verbal
- Proficient in one or more data analytic programming languages
- Excellent analytical and problem-solving skills
- Proficient in data science tools and techniques
- Understanding of machine learning concepts
- Ability to work with a diverse cross-functional team
- Ability to create and maintain documentation for data science processes.
- Hands-on experience with machine learning frameworks
- Knowledge of advanced statistical analysis techniques
- Experience with big data technologies Familiarity with data modeling and transformation Interest in advanced data science methodologies.
- Mentorship and coaching abilities.
Responsibility:
- Design, Lead and execute data science projects, including model development and evaluation.
- Collaborate with cross-functional teams to gather data science requirements and develop solutions.
- Implement data science principles and best practices.
- Troubleshoot and debug data science models.
- Contribute to documentation and participate in code reviews.
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