Data Scientist

2 weeks ago


Vienna, United States SMKSoft Inc Full time

Job Title: Data Scientist


Location - Virginia (Need Locals) - Hybrid (2 days onsite a week).


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:


All Data Scientist Roles

• 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


Regards,

Rahul Koraboina

rahul.koraboina@smksoftinc.com



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