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Senior Data Scientist
$121k-149k (estimate)
Full Time | IT Outsourcing & Consulting 2 Days Ago
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Allwyn Corporation is Hiring a Senior Data Scientist Near Vienna, VA

Job Details

Position: Data Scientist
Location: Hybrid in Vienna, VA
Duration: Long Term
Job Description:
Advanced Analytics Focused
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints. Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff.
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
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
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
Desired Qualifications:
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:
All Data Scientist Roles
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$121k-149k (estimate)

POST DATE

07/03/2024

EXPIRATION DATE

09/02/2024

WEBSITE

allwyncorp.com

HEADQUARTERS

HERNDON, VA

SIZE

25 - 50

FOUNDED

2003

CEO

MADHU GARLANKA

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

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The job skills required for Senior Data Scientist include Analysis, Data Science, Machine Learning, Python, Insight, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Scientist job description and responsibilities

Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.

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Collating and cleaning data from various entities for later use by junior data scientists.

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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.

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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.

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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Scientist jobs

Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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Step 3: View the best colleges and universities for Senior Data Scientist.

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