Data Scientist 2

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  "language": "en",
  "location": {
    "raw": "Annapolis Junction, Maryland",
    "city": "Annapolis Junction",
    "region": "MD",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
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      "region": "MD",
      "country": "United States",
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    "countries": [
      "United States"
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  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": "USD"
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{
  "lists": [
    {
      "text": "Capabilities",
      "content": "\n<li>Produce data visualizations that provide insight into dataset structure and meaning&nbsp;</li>\n<li>Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)&nbsp;</li>\n<li>Incorporate SME input into feature vectors suitable for analytic development and testing&nbsp;</li>\n<li>Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes&nbsp;</li>\n<li>Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics&nbsp;</li>\n<li>Develop statistical tests to make data-driven recommendations and decisions&nbsp;</li>\n<li>Develop experiments to collect data or models to simulate data when required data are unavailable&nbsp;</li>\n<li>Develop feature vectors for input into machine learning algorithms&nbsp;</li>\n<li>Identify the most appropriate algorithm for a given dataset and tune input and model parameters&nbsp;</li>\n<li>Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)&nbsp;</li>\n<li>Oversee the development of individual analytic efforts and guide team in analytic development process&nbsp;</li>\n<li>Guide analytic development toward solutions that can scale to large datasets</li>\n<li>Partner with software engineers and cloud developers to develop production analytics&nbsp;</li>\n<li>Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation</li>\n"
    },
    {
      "text": "Required Qualifications",
      "content": "\n<li>TS/SCI with agency appropriate poly</li>\n<li>Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).</li>\n<li>Five (5) years of experience analyzing datasets and developing analytics, five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.</li>\n<li>A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.&nbsp;</li>\n"
    },
    {
      "text": "Required Technical Skills",
      "content": "\n<li>Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization.</li>\n<li>Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.</li>\n<li>Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes.</li>\n<li>Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis.</li>\n<li>Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases.</li>\n<li>Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.</li>\n"
    },
    {
      "text": "The Benefits Package",
      "content": "\n<li><em><strong>Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.&nbsp;</strong></em></li>\n\n<div>&nbsp;</div>\n<div><em><strong>Additional benefits include:</strong></em></div>\n\n<li><em><strong>Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.</strong></em></li>\n\n<div>&nbsp;</div>\n<div><em><strong>Full-time employees have the option to participate in a variety of voluntary benefit plans including:</strong></em></div>\n\n<li><em><strong>A Choice of Medical Plan Options, some with Health Savings Account (HSA)</strong></em></li>\n<li><em><strong>Vision and Dental </strong></em></li>\n<li><em><strong>Life and AD&amp;D Benefits</strong></em></li>\n<li><em><strong>Short and Long-Term Disability</strong></em></li>\n<li><em><strong>Hospital Indemnity, Accident, and Critical Illness Insurances</strong></em></li>\n<li><em><strong>Optional Identity Theft and Legal Protection Services</strong></em></li>\n"
    },
    {
      "text": "Company Environment & Perks ",
      "content": "\n<li><em><strong>Employee Referral Bonus Eligibility up to $10,000&nbsp;</strong></em></li>\n<li><em><strong>Mobility Among Wyetech-supported Contracts&nbsp;</strong></em></li>\n<li><em><strong>Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS</strong></em></li>\n<li><em><strong>Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.&nbsp;</strong></em></li>\n<li><em><strong>Employees receive two complementary branded clothing orders annually.</strong></em></li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1768595171955,
  "updatedAt": null,
  "categories": {
    "team": "FFPP Team",
    "location": "Annapolis Junction, Maryland",
    "commitment": "Data Scientist (Full-Time)",
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      "Annapolis Junction, Maryland"
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