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Data Scientist - W2

Medinext Global LLC

Orlando, Florida • Today

Easy Apply

Full-time

Depends on Experience

Data scientist (W2/1099 only, local to CA)

Fervorly

Remote • 6d ago

Easy Apply

Full-time

55 - 70

Contract-W2: Data Scientist (Potential FTE Conversion after 3-6 Months)

Everest Technologies

Remote • Today

Easy Apply

Contract

Depends on Experience

Data Scientist (Snowflake Cortex AI)

GreyMatter Solutions

Remote • Today

Easy Apply

Full-time

Depends on Experience

Data Scientist (Microsoft Fabric & Customer Analytics)

SCMInnovators LLC

Remote • Today

Easy Apply

Contract

50 - 60

Data Analytics Engineer

Prudent Technologies and Consulting

Remote • 6d ago

Easy Apply

Contract

Depends on Experience

Data Engineer

Resource 1

Remote • 5d ago

Easy Apply

Contract

75 - 85

Medinext Global LLC

Job Details

Skills

Data Science
Python
SQL
Machine Learning
Pandas
NumPy
Scikit-learn
Statistics
Predictive Modeling
Data Analysis
Data Visualization
Feature Engineering
Matplotlib
Seaborn
TensorFlow
PyTorch
Power BI
Tableau
AWS
Azure
Databricks
Spark
NLP
Generative AI
Git
MLOps

Summary

Data Scientist - W2

Job Overview

Medinext Global LLC is seeking a talented and analytical Data Scientist with 1-3 years of professional experience to join our team. The ideal candidate will have hands-on experience with Python, SQL, statistical analysis, machine learning, and data visualization.

The Data Scientist will work with business and technical teams to analyze complex datasets, develop predictive models, identify meaningful patterns, and deliver data-driven insights that support business decisions.

Responsibilities

Collect, clean, transform, and analyze structured and unstructured datasets.
Develop statistical and machine learning models to solve business problems.
Perform exploratory data analysis and identify trends, patterns, and relationships.
Build and evaluate predictive models using appropriate machine learning techniques.
Develop data visualizations, dashboards, and reports to communicate findings.
Write efficient SQL queries to extract and analyze data from databases.
Use Python for data analysis, modeling, and automation.
Collaborate with data engineers, software engineers, product teams, and business stakeholders.
Evaluate model performance and improve models based on business requirements.
Present technical findings and recommendations to both technical and non-technical audiences.
Document analytical approaches, models, methodologies, and results.
Stay current with emerging data science, machine learning, and AI technologies.

Required Qualifications

1–3 years of professional experience in Data Science, Machine Learning, or a related field.
Strong proficiency in Python.
Strong knowledge of SQL and relational databases.
Experience with Pandas, NumPy, Scikit-learn, or similar data science libraries.
Understanding of statistics, probability, and machine learning concepts.
Experience with data cleaning, preprocessing, feature engineering, and exploratory data analysis.
Experience building and evaluating machine learning models.
Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau.
Strong analytical and problem-solving skills.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred.

Preferred Qualifications

Experience with TensorFlow or PyTorch.
Knowledge of deep learning and neural networks.
Experience with AWS, Azure, or Google Cloud.
Familiarity with Databricks, Spark, or other big-data technologies.
Experience with NLP or Generative AI is a plus.
Knowledge of MLOps and model deployment practices.
Experience with Git and CI/CD.
Familiarity with Agile/Scrum methodologies.

Employment Type

W2 - Full Time

Experience

1-3 Years

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91173643
Position Id: 9080288
Posted 7 hours ago

Company Info

About Medinext Global LLC

With years of combined experience in medical billing, revenue cycle management, and healthcare IT, Medinext Global LLC brings a unique dual-domain expertise to help providers run smarter, more compliant operations.

To become the most trusted partner in Healthcare RCM, IT Consulting, and Global Talent Services, enabling organizations worldwide to reach new levels of efficiency, security, and success.

Go to company profile

Fitment

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Aditya Mehta

Recruiter @ Medinext Global LLC

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Medinext Global LLC

Job Details

Skills

Data Science
Python
SQL
Machine Learning
Pandas
NumPy
Scikit-learn
Statistics
Predictive Modeling
Data Analysis
Data Visualization
Feature Engineering
Matplotlib
Seaborn
TensorFlow
PyTorch
Power BI
Tableau
AWS
Azure
Databricks
Spark
NLP
Generative AI
Git
MLOps

Summary

Data Scientist - W2

Job Overview

Responsibilities

Collect, clean, transform, and analyze structured and unstructured datasets.
Develop statistical and machine learning models to solve business problems.
Perform exploratory data analysis and identify trends, patterns, and relationships.
Build and evaluate predictive models using appropriate machine learning techniques.
Develop data visualizations, dashboards, and reports to communicate findings.
Write efficient SQL queries to extract and analyze data from databases.
Use Python for data analysis, modeling, and automation.
Collaborate with data engineers, software engineers, product teams, and business stakeholders.
Evaluate model performance and improve models based on business requirements.
Present technical findings and recommendations to both technical and non-technical audiences.
Document analytical approaches, models, methodologies, and results.
Stay current with emerging data science, machine learning, and AI technologies.

Required Qualifications

1–3 years of professional experience in Data Science, Machine Learning, or a related field.
Strong proficiency in Python.
Strong knowledge of SQL and relational databases.
Experience with Pandas, NumPy, Scikit-learn, or similar data science libraries.
Understanding of statistics, probability, and machine learning concepts.
Experience with data cleaning, preprocessing, feature engineering, and exploratory data analysis.
Experience building and evaluating machine learning models.
Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau.
Strong analytical and problem-solving skills.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred.

Preferred Qualifications

Experience with TensorFlow or PyTorch.
Knowledge of deep learning and neural networks.
Experience with AWS, Azure, or Google Cloud.
Familiarity with Databricks, Spark, or other big-data technologies.
Experience with NLP or Generative AI is a plus.
Knowledge of MLOps and model deployment practices.
Experience with Git and CI/CD.
Familiarity with Agile/Scrum methodologies.

Employment Type

W2 - Full Time

Experience

1-3 Years

Dice Id: 91173643
Position Id: 9080288
Posted 7 hours ago

Company Info

About Medinext Global LLC

To become the most trusted partner in Healthcare RCM, IT Consulting, and Global Talent Services, enabling organizations worldwide to reach new levels of efficiency, security, and success.

Go to company profile

Fitment