Data Scientist

3 weeks ago


Bangalore, Karnataka, India SKILLIANTECH INDIA PVT LTD Full time

Client Name : McKesson Compile

Company : SkillRecruit

Job Location : Bangalore-Hybrid

Experience : 2-4Yrs

Job Description - Senior Data Scientist

Responsibilities & Duties :

- Design, Develop and maintain Data Science solutions for data problems related to Patient level data like Claims, Electronic Health Records (EHR), Social Determinants of Health (SDOH) and Healthcare practitioner (HCP) / Healthcare organization (HCO) data i.e. doctor and facility meta information and their relationships

- Develop Machine Learning models and solutions using classical algorithms as well as foundational models using structured / tabular data

- Convert complex design into scalable implementations

- Analyze and identify the varied datasets to train ML models and evaluate them with the right metrics.

- Structure and theorize modeling approach for solving key business problems

- Ensure the developed solution is up to the technological standards of the organization and should be actively adhering to and upgrading the best practices

What makes you a great fit :

- Bachelor's degree in computer science, engineering, or related.

- 2-4 years of professional experience as Data scientist

- Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources

- Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.

- Statistical knowledge - Proven experience in statistical methods like and not limited to Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques

- NLP - Prior work experience in developing and deploying transformer models to generate and tune word embeddings for supervised and unsupervised problem solving in areas related to data standardization. Handling entity meta information like names, addresses, segment categories is a plus

- Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic) : Recommender Systems, User Profiling, Fraud Detectors etc

Technologies - Proficiency in :

- SQL - MUST HAVE

- Python - MUST HAVE

- Specific libraries may include - Scikit-learn, pandas, TensorFlow, Keras, Torch, etc;

- Pyspark - Plus

- mlFlow - Plus

Prior experience working with healthcare data is a plus

Excellent written, oral communication skills and ability to break down complex concepts and interact with cross-functional teams like data engineering, platforms, product.

(ref:hirist.tech)
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