Data Scientist - Hyderabad, India - Zelis

    Zelis
    Default job background
    Technology / Internet
    Description

    Essential Duties and Functions

    · Understand the business objective and directly participate in the delivery of data science solutions to solve business problems.

    · Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models.

    · Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights.

    · Build, test, validate models through various relevant methodologies, error metrics and calibration techniques.

    · Validate the post-production model performance and calculate the ROI

    · Work with cloud analytic platforms on AWS/ Azure using Sagemaker, Snowflake etc.

    · Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems.

    · Communicate data science models' complex results and the insights to the non-technical audiences.

    · Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes.

    Experience, Qualifications, Knowledge, and Skills

    · Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics.

    · Experience with healthcare and/or insurance data is a plus.

    · Proficiency in SQL, Python/R, NLP and LLM

    · 3-6 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes.

    Competent in machine learning principles and techniques.

    Experience with cloud-based data and AI solutions.

    • Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)