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Data Scientist
Expression Networks Washington, DC
$90k-110k (estimate)
Full Time | IT Outsourcing & Consulting 0 Months Ago
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Expression Networks is Hiring a Remote Data Scientist

We are looking for a full-time mid-level Data Scientist to join our Data Science Division in Washington, DC. Working independently and within a team, you will be involved in all phases of ETL and machine learning pipelines comprising a variety of programming languages, databases, and tools. You will be responsible for creating ETL pipelines, cleansing and standardizing data, as well as developing AI/ML models that will assist with data correlation, anomaly detection, situation awareness, and decision making for customers across a breadth of domains and use cases. You will have the opportunity to strengthen your skill set while learning new technologies utilized across the Expression Networks breadth and depth of projects.

Location:

  • Remote with the ability to travel when needed
    • Local (DC/VA/MD Metropolitan area) is preferred but not required

Security Clearance:

  • US Citizenship required
  • Ability to obtain Secret Clearance or higher

Required Experience:

  • Bachelor's degree in Computer Science/Data Science/Statistics or relevant discipline
  • 2 years’ experience creating AI/ML models and pipelines in the execution of development tasks
  • 3 years’ experience using Python language and libraries for data science
  • 1 years’ experience creating ETL processes and working with a variety of databases
  • Solid knowledge of machine learning algorithms and advanced statistical concepts and methods

Preferred Experience:

  • MS or PhD in Computer Science/Data Science/Statistics or relevant discipline
  • Experience using Tensorflow, Caffe2, PyTorch, Keras, and PySpark
  • Experience using ElasticSearch, MongoDB, Postgres, and Neo4j
  • Experience using one or more SQL-on-Hadoop technology (Spark SQL, Hive, Impala, Presto, etc.)
  • Experience with AWS solutions
  • Experience in short-release cycles and the full software lifecycle
  • Experience with Agile development methodology (e.g., Scrum)
  • Excellent written and oral communication skills

Benefits:

Expression Networks offers competitive salaries and benefits, such as:

  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement
  • Complimentary life insurance
  • Generous rollover PTO and 11 days of holiday leave
  • Onsite gym facility and trainer
  • Commuter Benefits Plan
  • In-office Cold Brew Coffee

About Expression Networks

Founded in 1997 and headquartered in Washington DC, Expression Networks provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression Networks was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. With Covid-19 being a major theme over the last two years having a growing collaborative culture has been one of the key focuses of our C-suite and upper management since our humble beginnings. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.

Equal Opportunity Employer/Veterans/Disabled

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$90k-110k (estimate)

POST DATE

03/20/2023

EXPIRATION DATE

08/09/2023

WEBSITE

expr.net

HEADQUARTERS

TYSONS CORNER, VA

SIZE

50 - 100

FOUNDED

1997

CEO

DAVID ROMOLA

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

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The job skills required for Data Scientist include Data Science, Machine Learning, Python, SQL, Computer Science, Data Analytics, 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.

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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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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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