Senior Data Scientist

Fractal Analytics   •  

Rochester, NY

Industry: Professional, Scientific & Technical Services

  •  

Less than 5 years

Posted 102 days ago

This job is no longer available.

Position expectations in detail:

  • Ability to understand a problem statement and implement analytical solutions & techniques independently or with minimal supervision
  • Work and collaborate with other teams to deliver and create value for clients
  • Fast learner: ability to learn and pick up a new language/tool/ platform quickly
  • Conceptualize, design and deliver high-quality solutions and insightful analysis
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
  • Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Recommender System, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting,

Skills & Qualifications:

  • 3+ years relevant experience in Regression, Machine Learning, Deep learning etc
  • Intermediate to expert level proficiency in Python
  • Experience with Recommender system: Different ML algorithm that can be used for recommender system (Collaborative filtering, ALS, classification-based ML etc.)
  • Ability to discover effective solutions to complex problems. Strong skills in data-structures and algorithms.
  • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations
  • Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
  • Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
  • We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering etc on a regular basis. If you know few of them you are good to go.
  • B.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields
  • Experience in one of the upcoming technologies like deep learning, NLP, image processing etc (good to have)