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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

Please click here to apply.

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