Zelis is hiring for a fresher entry level Associate Data Scientist role in India

Position:

Title: Associate Data Scientist-2

Company:

Name: Zelis

Location:

City/Country: Hyderabad, India

Job Type:

Type: Full-time

Job Mode:

Mode: Onsite

Job Requisition ID:

ID: JR106094

Years of Experience:

Required Experience: Not explicitly mentioned; as per JD, looks like a fresher entry level role; 0-3 years

Company Description:

About Zelis:
- Zelis is a company focused on modernizing the healthcare financial experience by providing a connected platform that bridges the gap between payers, providers, and healthcare consumers.
- The platform serves over 750 payers, including the top 5 national health plans, Blue Cross Blue Shield (BCBS) insurers, regional health plans, Third-Party Administrators (TPAs), and self-insured employers.
- The company's technological solutions extend their reach to millions of healthcare providers and consumers, creating an integrated system that delivers measurable outcomes for its clients.
- Zelis leverages the expertise of healthcare professionals to develop cutting-edge technologies that optimize business processes and solve industry-wide problems effectively.
- Through a combination of cloud analytics, machine learning models, and AI-driven tools, Zelis ensures that its solutions lead to improved financial experiences across the healthcare system.
- With a commitment to continuous improvement and innovation, Zelis remains at the forefront of transforming healthcare finance, delivering enhanced operational efficiency, reduced costs, and improved outcomes.
- The organization emphasizes fostering a culture of diversity, equity, inclusion, and belonging (DEIB), ensuring that all employees, regardless of background, feel empowered and valued.

Profile Overview:

Objective of the Role:
- The Associate Data Scientist-2 position at Zelis involves delivering innovative data science solutions aimed at solving complex business challenges in the healthcare domain.
- The role requires extracting, transforming, and analyzing vast and complex datasets to develop actionable insights and build statistical models to support business decision-making.
- Successful candidates will play an integral part in designing and implementing various statistical models, validating results, and deploying them for real-time business applications.
Key Responsibilities:
- Understand Business Objectives:
  - Gain a deep understanding of business goals and challenges.
  - Align data science solutions with organizational objectives to deliver high-impact results.
- Data Extraction and Analysis:
  - Extract data from various sources and conduct quality assessment, profiling, and cleansing.
  - Perform exploratory data analysis (EDA) to identify trends, anomalies, and correlations.
  - Apply data transformation techniques to prepare large datasets for statistical modeling.
- Model Development:
  - Design and develop a variety of statistical models, including:
    - Regression models
    - Classification models
    - Clustering models
    - Anomaly detection models
    - Deep learning models
    - Feature reduction models
  - Build, test, and validate models using industry-standard error metrics, calibration methods, and performance indicators.
- Model Deployment and Validation:
  - Deploy models into production environments and monitor their post-production performance.
  - Continuously assess model efficacy and calculate Return on Investment (ROI) to ensure the desired business impact.
- Cloud Analytics and Platform Usage:
  - Utilize leading cloud analytics platforms such as:
    - Amazon Web Services (AWS)
    - Azure Synapse Analytics
    - Snowflake
    - PySpark
    - Amazon SageMaker
  - Ensure seamless integration of data science solutions into the existing business infrastructure.
- Cross-functional Collaboration:
  - Engage with multiple business stakeholders and technical teams to ensure smooth implementation of models and analytical solutions.
  - Collaborate across departments to align data science initiatives with business needs.

Qualifications:

Educational Background:
- Advanced degree (Master’s or Ph.D.) in one of the following fields:
  - Data Science
  - Statistics
  - Computer Science
  - Any related field with a strong foundation in statistical methodologies and data analysis.
Technical Proficiency:
- Strong command over:
  - SQL: Expertise in writing efficient queries and manipulating large datasets.
  - Python/R: Proficiency in scripting and data analysis with these languages.
  - Natural Language Processing (NLP): Understanding of NLP concepts and their practical applications.
  - Large Language Models (LLMs): Familiarity with using and fine-tuning LLMs for analytical tasks.
Expertise in Machine Learning:
- Solid knowledge of machine learning algorithms, principles, and best practices.
- Experience in implementing and optimizing machine learning models for business applications.
Cloud and AI Knowledge:
- Familiarity with cloud-based data and AI solutions, especially within platforms like AWS and Azure.
- Experience working with tools like PySpark, Snowflake, and Synapse Analytics.
Collaboration and Version Control Tools:
- Proficiency in collaborative development environments such as:
  - Jupyter Notebooks: For interactive coding and data analysis.
  - GitLab/GitHub: For version control and collaborative project management.

Additional Info:

Commitment to Diversity and Inclusion:
- Zelis emphasizes fostering a culture of diversity, equity, inclusion, and belonging (DEIB) by creating an environment where employees feel safe to bring their authentic selves to work.
- The company actively encourages candidates from underrepresented communities to apply, including women, LGBTQIA individuals, people of color, and persons with disabilities.
- Zelis understands that diversity of thought and experience contributes to a more innovative and effective workplace.
Equal Employment Opportunity:
- Zelis is an equal opportunity employer and adheres to all applicable federal, state, and local laws regarding non-discrimination.
- All qualified applicants will receive equal consideration for employment regardless of:
  - Race
  - Color
  - Religion
  - Gender identity or expression
  - Sexual orientation
  - National origin
  - Disability status
  - Genetic information
  - Protected veteran status
Accessibility Support:
- Zelis is committed to ensuring accessibility throughout the application process.
- Candidates with disabilities or disabled veterans who require reasonable accommodation during the application or interview process can contact the Talent Acquisition team for assistance.
Application Deadline:
- The deadline for applications is May 31, 2025, providing interested candidates ample time to apply.

Essential Duties and Functions:

Business Problem Solving:
- Collaborate with business stakeholders to understand challenges and identify areas where data science solutions can drive positive impact.
- Design and implement tailored solutions to address complex business problems.
Data Analysis and Transformation:
- Extract and analyze large datasets to assess quality and perform necessary cleansing.
- Apply advanced data transformation techniques to prepare data for modeling.
Model Development and Testing:
- Build and validate statistical models using various techniques to ensure high accuracy and reliability.
- Perform rigorous testing, evaluate model performance using multiple error metrics, and refine models as necessary.
Model Monitoring and Maintenance:
- Continuously monitor deployed models in production to ensure they deliver consistent and measurable results.
- Conduct regular post-production validations and update models to maintain performance standards.
Cloud Analytics and Integration:
- Leverage cloud-based platforms such as AWS, Azure, Snowflake, and PySpark to integrate data science solutions with existing business processes.
- Optimize cloud analytics workflows to ensure seamless and efficient model deployment.
Stakeholder Collaboration:
- Work closely with cross-functional teams to ensure the successful integration of data-driven insights into business processes.
- Maintain open communication channels to gather feedback and fine-tune solutions as required.

Key Skills Required:

Analytical and Statistical Skills:
- Strong understanding of data analysis, statistical modeling, and machine learning concepts.
- Ability to interpret complex data and extract actionable insights.
Programming and Coding Proficiency:
- Expertise in Python/R for data manipulation, analysis, and model building.
- Proficiency in SQL for querying and handling large datasets.
Modeling and Algorithm Knowledge:
- Familiarity with a range of machine learning algorithms, including:
  - Regression
  - Classification
  - Clustering
  - Anomaly detection
  - Deep learning models
Cloud Platform Expertise:
- Experience in working with cloud platforms such as AWS, Azure Synapse, Snowflake, and PySpark.
- Knowledge of deploying and maintaining models in cloud environments.
Collaboration and Communication:
- Ability to work in a collaborative team environment, communicating effectively with both technical and non-technical stakeholders.
- Strong documentation and presentation skills to explain complex concepts in simple terms.

Application Guidelines:

Application Process:
- Interested candidates can apply directly through the Zelis Careers portal.
- Applications should include a resume highlighting relevant experience and technical expertise.
Application Deadline:
- Applications must be submitted by May 31, 2025.
Contact Information:
- For questions or assistance during the application process, candidates can contact Talent Acquisition via email.