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Data Scientist 2465
Quevera Fairfax, VA
$120k-147k (estimate)
Full Time | Education & Training Services 1 Month Ago
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Quevera is Hiring a Data Scientist 2465 Near Fairfax, VA

Job Description:

Quevera is seeking a Data Scientist to join an exciting, collaborative and innovative team. A place where you are positioned for More than Just a Job. Where leadership partners with you, seek to cultivate and support career development, encouraging growth from within while striving to foster a diverse and inclusive environment that improves individual and organizational performance.

Highlights of working for Quevera are:

  • Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area for 2020 (ranked #8 out of 150 companies) and 2022 (ranked #5 out of 150 companies).
  • Yearly $5,000 towards education/training.
  • Employees are in control of their career path through our Career Pathway Program.
  • Family and corporate events
  • Excellent health care coverage (100% paid premium option) and 401K matching (up to 4%).
  • And many more!
  • Q-Culture Video
  • Q-Careers

Duties and Responsibilities:

Day to day responsibilities include:
  • The Contractor shall perform end-to-end quality assurance of data feeds and data sets.
  • The Contractor shall provide support for data triage and assessment at the Sponsor’s site.
  • The Contractor shall identify and document areas for improvement in workflows or systems.
  • The Contractor shall attend regular stand-up meetings.
  • The Contractor shall provide input to code reviews.
  • The Contractor shall cross-train on existing collection tools.
  • The Contractor shall support building, monitoring, alerting, and reporting out (e.g. dashboards).
  • The Contractor shall support new use cases.
  • The Contractor shall research and document options for collecting or aggregating data from a variety of web based and internal Sponsor platforms.
  • The Contractor shall evaluate web based platforms’ ability to detect or deny access.
  • The Contractor shall make recommendations on approaches to acquire information.
  • The Contractor shall use appropriate tools and computer programming languages, such as Python scripts, to collect and process data from a variety of sources.
  • The Contractor shall use Sponsor-network APIs to programmatically access data.
  • The Contractor shall create, maintain, and enhance systems in support of data exploitation.
  • The Contractor shall create or improve custom collection scripts written in Python.
  • The Contractor shall create or improve scripts leveraging APIs for collection needs.
  • The Contractor shall automate data clean-up and conditioning of collected data.
  • The Contractor shall automate data management and dissemination steps.

Required Experience:

  • Demonstrated experience programming in Python.
  • Demonstrated experience performing statistical analysis, testing, and modeling using Python or R.
  • Demonstrated experience analyzing questions, formulating requirements, determining suitable analytic approaches, evaluating results, and communicating findings to partners and stakeholders.
  • Demonstrated experience working with data in a variety of structured and unstructured formats.
  • Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data.
  • Demonstrated experience with data visualization tools, such as notebook-based visualization libraries, especially Elasticsearch, Kibana, and Tableau.
  • Demonstrated ability to translate complex, technical findings into an easily understood narrative in graphical, verbal, or written form.
  • Demonstrated experience with AI/ML, such as natural language processing in a production environment.


Desired Experience:

  • Demonstrated experience programming in common compiled or interpreted languages, such as Python and R.
  • Demonstrated experience with data management tools, such as Hadoop, MapReduce, or similar.
  • Demonstrated experience with technical operations.
  • Demonstrated experience with technical targeting.
  • Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark.
  • Demonstrated experience collaborating with colleagues to develop customer-tailored products.

Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Education & Training Services

SALARY

$120k-147k (estimate)

POST DATE

03/15/2024

EXPIRATION DATE

05/14/2024

WEBSITE

quevera.com

HEADQUARTERS

CAMBRIDGE, MD

SIZE

25 - 50

FOUNDED

2013

CEO

LEANDER SIMMS

REVENUE

<$5M

INDUSTRY

Education & Training Services

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About Quevera

Quevera provides custom software engineering services across the entire spectrum of the software development lifecycle. We have extensive experience in partnering with our customers to gain a comprehensive understanding of the business problems presented to federal agencies, local governments, financial institutions, health care organizations and educators. Quevera is a company founded by a core group of technologists and business professionals who shared a revolutionary vision for how a software company could succeed while adhering to set of core values that governed its partnerships with its... customers, employees and corporate partners. With over a century of combined experience in the government, intelligence and corporate sectors, we have the experience and technical know-how knowledge to first listen, understand and deliver innovative products and services designed to reach the core problem for unique business problems. More
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The job skills required for Data Scientist 2465 include Data Science, Python, SQL, Programming, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist 2465. 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 2465. 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 2465 positions, which can be used as a reference in future career path planning. As a Data Scientist 2465, 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 2465. You can explore the career advancement for a Data Scientist 2465 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.

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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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