Onsite Job Senior Data Scientist with Python in Branchburg-NJ (In person Interview)

$85 - $100

Contract: Independent, W2, Corp-To-Corp, 30 Month(s)

  • Work from home

Skills

  • data scientist
  • Python
  • AI
  • ML

Job Description

Hybrid: 2 days weekly in office on Wednesdays and Thursdays.

Onsite Job Senior Data Scientist with Python.

Branchburg-NJ (In person Interview)


Description:

  • This position is for a hands-on experienced data scientist with experience in developing predictive models for business applications.
  • The position involves working on data science projects and solutions that drive customer experience, customer service, network, and technical operations, marketing effectiveness, personalization, recommendation, and operational efficiency.
  • The position involves developing AI/ML solutions to complex business problems, preparing and processing large data, testing models' performance, working with data engineers to implement models, preparing technical results and presentations, and migrating python and pyspark-based predictive models to Google Cloud Platform.

Required:

  • Solid hands-on experience in coding statistical and machine learning models using Python, PySpark, and machine learning libraries.
  • Experience with building machine learning models and data processing using Google Cloud Platform (Google Cloud Platform).
  • Bachelor’s degree in data science, computer science, statistics, mathematics, or engineering with six or more years of relevant work experience as a data scientist developing and coding predictive models for business applications, or a Master’s degree in data science, computer science, statistics, mathematics, or engineering with four or more years of relevant work experience as a data scientist developing and coding predictive models for business applications.
  • Experience in data management and data analysis in a relational database, Hadoop and Spark, SQL hands-on experience.
  • Experience in NLP, language understanding, topics modeling, and deep learning applications.
  • Experience in large-scale data science projects and delivering from end to end.
  • Experience with building data pipelines, model artifacts, and packaging for and model deployment.
  • Strong communication and interpersonal influencing skills.
  • Excellent problem-solving and critical thinking capabilities