US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 2nd May 2023
Qualifications and Education Requirements:
Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another
quantitative field, or related field, or the equivalent combination of education, training and experience
Ability to understand complex business problems and determine what aspects require optimization
and articulate those aspects in a clear and concise manner
Advanced skill in communicating actionable insights using data to technical and non-technical
audiences
Proven experience working in a dynamic, research-oriented groups with several ongoing concurrent
projects
Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2;
knowledge of other visualization tools such as Microsoft Power BI and Tableau
Ability to manipulate raw data within visualization tools to create effective dashboards that
communicate end-to-end data outcomes visually
Proficient in storytelling with data skills
Exceptional technical writing skills
Advanced verbal, interpersonal and written communication skills
Advanced Analytics Focused
Moderate skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated
success in building models that are deployed and have made measurable business impact
Experience in using two or more of the following modeling types to solve business problems:
classification, regression, time series, clustering, text analytics, survival, association, optimization,
reinforcement learning
Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural
language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
Demonstrates a deep understanding of the modeling lifecycle
Moderate skill data mining, data wrangling, and data transformation with both structured and
unstructured data; deep understanding of data models
Skill interpreting, extrapolating, and interpolating data for statistical research and modeling
Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
Advanced skill in Python
Moderate skill in SQL and querying (able to pull/transform your own data)
Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure
DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
Understanding of data models, large datasets, business/technical requirements, BI tools, statistical
programming languages and libraries
Familiar with Data Engineering concepts
Familiar with the use of standard ETL tools and techniques
Familiar with the concepts and application of data mapping and building requirements
Demonstrates a deep understanding of multiple data related concepts
Familiar with Data Integration, Data Governance and Data Warehousing
Moderate skill in Data Management, Data Validation & Cleansing and Information Analysis
Desired Qualifications and Education Requirements:
Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative
field, or related field
Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE),
Communication Strategy and Management, Delivery Excellence and Requirements management