Data Scientist

Job Title: Senior Data Scientist

Client: Confidential

Location: Silicon Valley CA. Seattle WA San Francisco Bay Area CA New York City Ny Boston MA

No Position : 7

Job Description:

As a Senior Data Scientist you will be responsible for leveraging datadriven insights to enhance our products and services across the entire spectrum of IT. This role requires deep knowledge and experience in analyzing data developing machine learning models and collaborating with crossfunctional teams to implement solutions.

Responsibilities:

• • Analyze raw data from diverse IT domains assessing quality cleansing and structuring it for downstream processing.
  • Develop and deploy machine learning models using AWS services such as SageMaker and Docker.
  • Apply advanced techniques including Markov Chain Monte Carlo (MCMC) to solve complex data problems effectively.
  • Design accurate and scalable prediction algorithms to meet business objectives in all IT domains.
  • Collaborate closely with engineering teams to bring analytical prototypes to production ensuring seamless integration.
  • Generate actionable insights from data analysis to drive continuous improvements across various IT domains.

Qualifications:

• • Bachelors degree or equivalent experience in a quantitative field (Statistics Mathematics Computer Science Engineering etc.).
  • 56 years of experience in quantitative analytics or data modeling within IT domains.
  • Deep understanding of predictive modeling machine learning clustering and classification techniques and algorithms.
  • Fluency in programming languages such as Python C C Java or SQL.
  • Experience with AWS services (SageMaker Docker) and familiarity with Big Data frameworks (Cassandra Hadoop Spark).
  • Proficiency in visualization tools such as Tableau.

Certificates:

• • AWS Certified Data Analytics Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Data Engineer Certification
  • Cloudera Certified Professional (CCP): Data Scientist

Data Science,Machine Learning,Data Analytics