Hi
Greetings for the day!
This is Sapna Tyagi from Innovative IT Corp,
ROLE : Data Scientist II
LOCATION : Hybrid,Vienna,VA
DURATION : 6+ Month Contract + Extension
Visa: USC/GC/GCEAD
Responsibilities:
Advanced Analytics Focused
· Support the delivery of strategic advanced analytics solutions across the organization with solutions
drawing on descriptive, predictive, and prescriptive analytics and modeling
· Leverage a broad set of modern technologies – including Python, R, and Spark – to analyze and gain
insights within large data sets
· Manage, architect, and analyze big data in order to build data driven insights and high impact data models
· Evaluate model design and performance and perform champion/challenger development. Analyze model
input data, assumptions, and overall methodology.
· Using statistical practices, analyze current and historical data to make predictions, identify risks, and
opportunities, enabling better decisions on planned/future events
· Provide analytics insights and solutions to solve complex business problems
· Apply business knowledge and advanced statistical modeling techniques when building data structures
and tools
· Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver
strategic advanced analytic based solutions from design to deployment
· Examine data from multiple sources and share insights with leadership and stakeholders
· Transform data presented in models, charts, and tables into a format that is useful to the business and
aids in effective decision making
· Point of contact between the data analyst/data engineer and the project/functional analytics leads
· Develop and maintain an understanding of relevant industry standards, best practices, business processes
and technology used in modeling and within the financial services industry
· Identify improvements to the way in which analytics service the entire function
· Recognize potential issues and risks during the analytics project implementation and suggest mitigation
strategies
· Prepare project deliverables that are valued by the business and present them in such a manner that they
are easily understood by project stakeholders
· Perform other duties as assigned · Assess new and existing model’s overall fit/suitability with its intended use and purpose
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
· Significant experience working in a dynamic, research-oriented groups with several ongoing concurrent
projects
· Demonstrates advanced 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
· Advanced storytelling with data skills
· Exceptional technical writing skills
Advanced Analytics Focused
· Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in
building models that are deployed and have made measurable business impact
· Significant 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
· Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language
processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
· Demonstrates a deep understanding of the modeling lifecycle
· Advanced skill data mining, data wrangling, and data transformation with both structured and
unstructured data; deep understanding of data models
· Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
· Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
· Advanced skill in Python and R
· Advanced skill in SQL and querying (able to pull/transform your own data)
· Advanced 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
· Advanced 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
Bank Secrecy Section (BSA):
Remains cognizant of and adheres to Navy Federal policies and procedures, regulations pertaining to the Bank
Secrecy Act.
Thanks & Regards
Sapna Tyagi
Sr. Technical Recruiter
Innovative IT Corp
Email: Sapna@innovativeITcorp.com Direct (908) 842-0538 EXT. 408
100 Franklin Square Dr Ste 207, Somerset NJ 00873