Description

You will lead data science initiatives and manage complex statistical modeling projects.

Responsibilities

• Lead the development and implementation of machine learning, statistics, and optimization models.
• Apply NLP and Deep Learning techniques including CNN and RNN to solve complex problems.
• Build and deploy regression, classification, and unsupervised models such as K-Means, DBSCAN, and LOF.
• Work within cross-functional teams to process large data sets using distributed computing tools.
• Own the end-to-end lifecycle of statistical modeling from simulation to production.

Required Skills

• 8-12 years of experience in a statistical or data science role.
• Deep knowledge of machine learning, statistics, and optimization.
• Expertise in Linear and non-Linear Regression, including Multiple and Multivariate models.
• Experience with Classification models and Ensemble techniques.
• Proficiency in NLP and Deep Learning (CNN, RNN).
• Mandatory real-time experience with Python, R, or Matlab.
• Hands-on experience with distributed computing tools like Map/Reduce, Hadoop, Hive, or Spark.
• Degree in Computer Science, Data Science, Mathematics, or a related field.

Preferred Skills

• Experience with semi-structured or unstructured databases such as MongoDB, Cassandra, ArangoDB, Couchbase, or GraphDB.
• Programming proficiency in C, C++, Java, or .Net.

Key Skills

Education

Any Gradute