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Data Scientist
$136k-167k (estimate)
Other | Business Services 7 Months Ago
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S2 Analytical Solutions is Hiring a Data Scientist Near Springfield, VA

Overview

Data ScientistLocation: Springfield, VAExperience: 8 yrs specialized, 12 yrs overallClearance: TS/SCI

As an ‘Data Scientist’ – join S2 Analytical Solutions and the customer to facilitate the mission of national security and humanitarian leadership by shaping information-driven decision-making with innovative IT solutions!

Job Overview: As a Data Scientist, you will play a pivotal role in integrating, developing, and maintaining analytic models, visualizations, and tools to evaluate, analyze, and communicate internal and external user behavior, as well as enterprise or portfolio performance. Your expertise will be vital in providing statistical and mathematical support to interpret a diverse range of data, ultimately enhancing the customer experience. Collaborating closely with various teams, you'll leverage insights to inform decisions and operational strategies, particularly in areas such as website design, customer interactions, and future product development. Your responsibilities will include applying business analytics techniques across different corporate functions, managing data, and establishing agile analytics processes for ongoing activities. Additionally, you will oversee an inventory of implemented dashboards and analytic products, ensuring alignment with current project goals and objectives.

Responsibilities

Duties:

  • Integrate, develop, and maintain analytic models, visualizations, and tools to evaluate, analyze and communicate internal/external user behavior and overarching enterprise or portfolio performance.
  • Provide statistical and mathematical support in assisting for data analysis 
  • Leverage a range of data sources to understand and improve customer experience 
  • Provide insights that will be used to inform decisions and agency operational strategies, in partnership with teams examining website design, customer interactions, featured content, and future products and services.
  • Apply business analytics techniques in various corporate functions
  • Manipulate data between applications, using software/code such as: Apache Spark, ElasticSearch, R, Python, Kibana, etc.
  • Establish an agile analytics process 
  • Manage an inventory of implemented dashboards and analytic products 

Qualifications

Required:

  • Experience developing data analytics models and visualizations employing proven industry standards in statistic/data science principals, practices, and techniques in the analyses of business data
  • Experience developing dashboards to effectively convey site metrics to non- technical audiences, to include but not limited to: communicating warnings and limitations of both coding techniques and statistical analyses depicting current state and providing insight to improvement plan implementation strategies and milestone achievement
  • Experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.).
  • Experience data mining, to include developing, manipulating, or maintaining databases.
  • Experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) to summarize statistical data and create documents, reports and presentations.
  • The ability to proactively identify methods and approaches to expand and enhance the capacity analytic and of an existing portfolio.

Desired:

  • Experience effectively communicating with various partners, stakholders, or customers on the value of statistical and data science methods to include but not limited to:
    • the strength of models/formulas, 
    • their limitations, warnings and weaknesses in various
  • Experience embracing and participating in a culture of knowledge sharing to broaden the understanding of:
    • advanced methods or
    • niche statistical methods and
    • data science analytic methods and
    • coding techniques to include fundamental understanding of model/formula strength, limitations, warnings and weaknesses when applied in various scenarios.

S2 is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

S2 prohibits third-party solicitation from any recruiter or outside source regardless of the cause being represented.

Job Summary

JOB TYPE

Other

INDUSTRY

Business Services

SALARY

$136k-167k (estimate)

POST DATE

10/13/2023

EXPIRATION DATE

04/08/2025

WEBSITE

s2analyticalsolutions.com

HEADQUARTERS

HUGO, MN

SIZE

25 - 50

FOUNDED

2011

CEO

ALLEN NOREEN

REVENUE

<$5M

INDUSTRY

Business Services

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About S2 Analytical Solutions

S2 Analytical Solutions is a veteran-owned business focused on providing skilled engineers and integrators to meet mission critical requirements across the DOD and IC communities. Our employees have demonstrated experience across the systems engineering lifecycle the encompassing critical skill areas. Our staff of mission experts and engineering professionals provides domain expertise and thought leadership to our Government clients in successfully acquiring, developing, deploying, and maintaining mission capabilities in support of warfighters, Intelligence Community partners, and national dec...ision makers. S2 Analytical Solutions delivers exceptional talent to our clients by recruiting and retaining subject matter experts with industry-leading compensation and benefits. We competitively offer these capabilities through an extremely low-overhead business structure. These two factors have made S2 one of the fastest growing businesses supporting the IC and DoD. More
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The job skills required for Data Scientist include Data Science, Python, Insight, Futures, Data Analytics, Data Mining, 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.

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.

Quotes from people on Data Scientist job description and responsibilities

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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A data scientist develops software to structure the raw data.

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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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