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Data Scientist

2 months ago

Springfield, United States S2 Analytical Solutions Full time

Overview:

Data Scientist
Location: Springfield, VA
Experience: 8 yrs specialized, 12 yrs overall
Clearance: 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.

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