• 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