Senior Associate Analytics

Overview

Remote
$115,000 - $140,000
Full Time
10% Travel

Skills

Python
R Language
NLP
Glove
BERT
AWS
XGBoost
SVM
Random Forest
LSTM
PyTorch
Tensor Flow

Job Details

THIS IS A 100% REMOTE JOB. OCCASIONAL TRAVEL IS REQUIRED

A Senior Associate (Analytics) takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications.

  • Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.
  • Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling, and Operations Research.
  • Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives
  • Hands-on experience in Python, R, SQL
  • Worked on NLP unstructured data / semi structured data
  • Have prior experience in pre-trained models, like BERT, Glove,
  • Worked on Neural Network, with experience in Tensor Flow, PyTorch
  • Model development using RNN, CNN, LSTM and other techniques
  • Machine learning model development, hands on experience in Random Forest, XGboost, SVM, etc
  • Experience in model performance tuning
  • 6-9 years of experience in data analytics and building predictive models
  • B.Tech, M.Tech, MS, or PHD in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.
  • Experience in managing global analytics teams in multiple locations is preferred

Data science expertise

  • Semi-supervised problems and unsupervised learning and optimization
  • NLP unstructured data / semi structured data
  • Experience in pre-trained models, like BERT, Glove, etc.
  • Neural Network, with experience in Tensor Flow, PyTorch
  • Model development using RNN, CNN, LSTM etc.

Skills

Python, R Language, NLP, Glove, BERT, AWS, XGBoost, SVM, PyTorch, Tensor Flow, HADOOP, PySpark

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.