Data Scientist

Posted 3 Days Ago
Bethesda, MD
Senior level
Information Technology
The Role
The Data Scientist will support the Chief Data & Artificial Intelligence Officer by establishing data environments, creating predictive analyses, participating in data modeling, validating requirements, and manipulating data from structured and unstructured sources for insights. The role requires strong analytical and coding skills, along with the ability to deliver findings and collaborate with stakeholders in a fast-paced environment.
Summary Generated by Built In

InSequence Overview: 
At InSequence, we engineer outcomes for your most demanding technology problems. We hire talented professionals to bridge the technology gap between desired business results and actual implementation. Organizations often face a technology gap between getting a software solution and having it meet a desired business goal. InSequence closes that gap with engineered products and managed services that bridge IT expenditure and their organization goals. Our clients range from large government agencies to enterprises that utilize vast amounts of technology and data. They turn to us for our proven solutions and engineering mindset to manage technology that is predictable, scalable, and reliable.
Clearance Required:
Active TS-SCI with Poly
Position Overview:
We are seeking a Data Scientist to support our customer. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic environment and work closely with government customer and IT developers to validate customer's data and data analytics requirements.
Duties include:

  • Establish Data Environments and serve as the data visualization subject matter expert.
  • Create and translate trend, time-series, and predictive analyses, and facilitate stakeholder decision-making technical exchange meetings.
  • Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements.
  • Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis.
  • Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes.
  • Applying data wrangling and exploration techniques.
  • Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses.
  • Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources.
  • Providing input on software implementation for analytics.
  • Validating customer requirements and determining feasibility of solutions and alternative options.
  • Contributing to and collaborating on executive-level briefings for the CDAO.
  • Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management.
  • Strong math, coding and analytical skills are essential to complete job requirements successfully.

Required: 

  • Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field.
  • 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role.
  • Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data.
  • Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis.
  • Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes.
  • Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights.
  • Experience with Programming languages like Python, Java, SQL and Cloud technologies.
  • Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules.
  • DoD 8570 IAT Level II certification required 

Preferred: 

  • Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView).
  • Data scientist certification from AWS, Google, Microsoft, Oracle, etc.
  • Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart.
  • Deep understanding of machine learning and artificial intelligence for logical applications and techniques.
  • Have experience working in Agile and DevOps environments.

Perks: 

  • 100% Employer paid healthcare, dental, and vision insurance for employees and their dependents
  • 4% 401K match w/ Immediate Vesting
  • 3 weeks of PTO & 11 Federal Holidays
  • Continuous training & education 

InSequence Inc. is an Equal Opportunity Employer
We participate in the E-Verify Employment Verification Program.
 

Top Skills

Java
Python
R
SQL
The Company
HQ: Herndon, VA
37 Employees
On-site Workplace
Year Founded: 1999

What We Do

InSequence was founded in 1999. At that time we introduced and engineering mindset to help solve the most complex technology challenges that organizations face. From this start, we've grown into a company with the proven ability to help organizations accelerate positive changes.

Throwing hardware and software at a problem might be a short-term solution. At InSequence, we start with the end in mind. We look at the big picture and combine logic, creativity and an engineering mindset to deliver outcomes that are predictable, scalable and reliable. Every time.

We focus on outcomes, but we live in the real world. That's why we make sure your technology expenditures have an ROI and align with your Technology Business Management philosophy. We don't just engineer it right, we engineer it for accountability.

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