SENIOR DATA SCIENTIST

PRIORITY 2

Position: SENIOR DATA SCIENTIST

Location: Irving- TX (2-3 days/ Weekly)

Duration: Long term contract

on C2C

Other Required skills to focus: Statistic Modeling, Predictive Modeling, Python/ PySpark preferred, SQL etc.

Required Skills: Data Science, Python, Machine Learning ML/ AI, Statistics, GCP/ AWS.

JOB DESCRIPTION:

• Senior Data Scientist 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 (GCP).

· Bachelors 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 Masters 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