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Data Scientist
$111k-138k (estimate)
Full Time 1 Month Ago
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Evoke Research And Cons is Hiring a Data Scientist Near Arlington, VA

Evoke is seeking a Data Scientist Level I to join our team!

Evoke Research and Consulting is a federal management consulting firm specializing in three core services areas including management consulting, IT consulting, and Business Process Reengineering. We provide solutions to federal government agencies and entities, including the Department of Energy, Veterans Affairs, Department of Homeland Security, US Marine Corps, and USDA. 

We are a diverse employee-focused firm that is committed to providing a wide range of opportunities for our employees to grow professionally and socially including mentoring and internal Communities of Practice. Our employees are hard-working and team-oriented and come from multiple backgrounds and experience levels. We value our employees’ ideas and welcome suggestions for change and development as a firm. 

Responsibilities

  • Identifying relevant data sources for business needs
  • Collecting structured and unstructured data
  • Sourcing missing data
  • Organizing data into usable formats
  • Building predictive models
  • Building machine learning algorithms, features databases
  • Enhancing the data collection process
  • Processing, cleansing & verifying of data
  • Analyzing data for trends and patterns and finding answers to specific questions
  • Setting up data infrastructure, data catalogs
  • Develop, implement, and maintain databases for features, machine learning algorithms
  • Assess the quality of data and remove or clean data
  • Generating information and insights from data sets and identifying trends and patterns
  • Preparing reports for executive and project teams
  • Create and manage visualization of data
  • Mapping data sources: An understanding of where data is stored and maintained
  • Defining logical integrative views of data: These views will draw together data from across the domains
  • Some views will use a database of extracted data - others will bring together data in "near real-time."
  • Documenting existing data movement: record how data movement is happening
  • Coordinate efforts and foster consistency while documenting the frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations

 Qualifications 

Requirements/Skills: 

  • Strong mathematical & numeracy skills
  • Intermediate understanding of databases such as SQL Server, Informix, and other Cloud solutions such as PostgreSQL, Redshift, Cloudera
  • Understanding of reporting & data visualization tools such as OBIEE and Tableau.
  • Understanding of website scripts such as XML, JavaScript, JSON
  • Understanding of ETL framework and ETL tools including DataStage, Glue ETL 
  • Proficiency in Python and other Machine learning services such as Amazon SageMaker
  • Knowledge of Geospatial analytics
  • Excellent analytical skills - the ability to identify trends, patterns, and insights from data
  • Strong attention to detail
  • Presentation skills – the ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand
  • Problem-solving skills
  • A good communicator with effective stakeholder management & conflict resolution skills

Required Education: 

  • Bachelor's Degree in a related field or relevant discipline. 

 Security Clearance:

  • Must be able to obtain and maintain the required security clearance for this role. 

 Work Location:

Washington DC/Remote

Evoke is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, citizenship status, national origin, ancestry, sexual orientation, gender identity, age, religion, creed, physical or mental disability, marital status, veteran status, political affiliation, or any additional factors that are protected by law.

Job Summary

JOB TYPE

Full Time

SALARY

$111k-138k (estimate)

POST DATE

03/17/2023

EXPIRATION DATE

05/31/2023

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Evoke Research And Cons
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The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Computer Science, Economics, etc. Having related job skills and expertise will give you an advantage when applying to be a 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 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 Data Scientist positions, which can be used as a reference in future career path planning. As a 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 Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a 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 Data Scientist for your reference.

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

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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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 Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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

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