Qualification: B.E, B.Tech, M.E, M.Tech, M.C.A

Develops analytics models using specialized tools based on the business problem and data available.
Identifies the right set of models and develops the right code / package to execute them Evaluates the validity of the model (both scientifically as well as from a business perspective)
Support the Data Science Team in design and execution of analytics projects
Work with stakeholders and subject matter experts to complete tasks and deliverables on projects
Working collaboratively across multiple sets of stakeholders - business SMEs, IT, Data teams, Analytics resources, etc. to deliver on project deliverables and tasks Identify actionable insights that directly address challenges / opportunities
Articulate business insights and recommendations (based on model output) to respective stakeholders
Understanding business KPIs, frameworks and drivers for performance

Modelling and Technology Skills:

Deep expertise in machine learning techniques

Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. Theme deduction, sentiment analysis, Topic Modeling), Natural Language Generation

Python, NLP, IP, DL, SPSS

Spotfire, Tableau, Qlickview

For Operations Research (AIMS, Cplex, Matlab)

Awareness of Data Bricks, Apache Spark, Hadoop

Awareness of Agile / Scrum ways of working

Advanced Machine learning techniques:

Strong experience in specialized analytics tools and technologies:

Associate Data Scientist

Job Description

No Referrers Available