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Copper River Technology
Virginia, VA | Full Time
3 Months Ago
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Precision Solutions
Virginia, VA | Other
$106k-131k (estimate)
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Precision Solutions
Virginia, VA | Other
$106k-131k (estimate)
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Precision Solutions
Virginia, VA | Other
$108k-133k (estimate)
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Concurrent Technologies Corporation
Virginia, VA | Full Time
$107k-131k (estimate)
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Celestar Corporation
Virginia, VA | Full Time
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Celestar Corporation
Virginia, VA | Full Time
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Celestar Corporation
Virginia, VA | Full Time
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Data Scientist
Full Time 3 Months Ago
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Copper River Technology is Hiring a Data Scientist Near Virginia, VA

Overview

The Copper River Family of Companies, owned by the Native Village of Eyak, a federally recognized Alaska Native Tribe, are a collection of entities that deliver a complementary set of solutions and services to support the diverse missions and requirements of our clients. Your growth is our success. As an employee, you will have access to education and training benefits and work/life balance through our Open Leave Policy. Your health is most important, so you’ll be “covered” with medical, dental and vision insurance, and we offer immediate vesting with 401k matching. Don’t delay and apply today!

Copper River Technologies seeking an experienced and motivated Senior Data Scientist who shall carry out the coordinated organization, direction, and implementation of complex and interrelated projects in support of our clients in our analytics portfolio. The Senior Data Scientist is responsible to day-to-day client management, program deliverables, client relations, and service delivery to support a growing portfolio of analytics programs.

This position reports to the Executive Vice President, and is remotely located in Lorton, Virginia. 

Responsibilities

  • The Data Scientist understands unit objectives and develops models to enable mission completion, along with metrics to track model progress and effectiveness
  • Analyze algorithms with potential to solve customer problems, and ranks them by success probability
  • Explore datasets and verifies data quality to gain an understanding of relevant data, then identifies differences in data distribution that could affect performance when deploying the machine learning model in an operational environment
  • Identify and condition datasets for machine learning test uses
  • Tune machine learning model hyper‐parameters
  • Visualize and manipulate big datasets
  • Responsible for conducting qualitative event uncertainty and risk analysis, as well as quantification of cost and schedule risk
  • Responsible for recommending and implementing risk mitigation actions
  • Support quantitative and qualitative integrated assessments of risk across entire projects, and to assess the uncertainties (including work scope gaps, normal estimating, variability error, and risk events) associated with integrated baseline activities and activities and assist in the implementation of the risk mitigation actions
  • Identify and prioritize risk events in the integrated baselines
  • Perform qualitative analysis to forecast an accurate and realistic project schedule to anticipate potential areas of high risk and uncertainty
  • Perform advanced risk analysis and associate risk items to direct impacts on scope/cost/schedule, and operations/intelligence/institutional/organizational missions and activities
  • Function independently and can present/defend the risk status to senior management

Qualifications

  • Education:
    • Bachelors’ Degree in relevant field, may be substituted for ten (5-10) years total of relevant experience
  • Required Knowledge/Experience:
    • Minimum ten (5-10) years experience of project management experience in the federal space
    • Proficient with deep learning frameworks, and also has proficiency with Python, R, MS SQL, and basic libraries (such as Scikit‐Learn and Pandas)
    • Familiar with Linux and proficient with OpenCV
    • Experience with managing contract financials, and contract management & CDRLs
    • Proven project portfolio, program and project manager experience and sound understanding of the principles and frameworks of successful project management
    • Proven experience in providing service, effectively interacting and relationship building with internal and external stakeholders to achieve successful project outcomes
    • Demonstrated capability for problem solving, decision making, sound judgment, assertiveness
    • Excellent interpersonal skills to effectively interact with senior management from customer/partner companies as well as senior customer officials
    • Excellent oral and written communication skills as well as excellent presentation skills
    • Must be able to understand multi-level customer/user expectations and concerns
    • Ability to set and manage priorities judiciously
    • Keen attention to detail
    • Proficient in Microsoft Office Suite
  • Preferred Knowledge/Experience:
    • Understanding of Human Resources, employee performance improvement plans, and corrective action policies
    • Experience with task-based contracts
    • Certified Program of Project Management Professional (PgMP or PMP) with the Project Management Institute (PMI)
    • Experience with Microsoft Project
  • Security Clearance:
    • TS/SCI with the ability to gain special access program (SAP) read‐on to work on‐site

Other Responsibilities

  • Perform other tasks consistent with the goals and objectives of the department/contract
  • Perform other duties as assigned
  • Must comply with all federal COVID-19 related vaccination and testing requirements, including, but not limited to, those set out in Executive Order 14042

 Disclaimer

The Copper River Family of Companies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job Summary

JOB TYPE

Full Time

POST DATE

12/08/2022

EXPIRATION DATE

12/12/2022

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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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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