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Data Scientist
$107k-131k (estimate)
Full Time 8 Months Ago
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LMI Consulting, LLC is Hiring a Data Scientist Near Tysons, VA

Data Scientist
Job LocationsUS-Remote
Job ID2023-10169# of Openings1CategoryData/Analytics
Overview

LMI is seeking a skilled Data Analyst. Successful Data Analysts demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.

LMI: Innovation at the Pace of Need

At LMI, we're reimagining the path from insight to outcome at the new speed of possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

Responsibilities

This data scientist will join a team supporting the Defense Logistics Agency (DLA). The Data Scientist will apply advanced analytics techniques to improving the quality of vital supply chain and logistics data.

    Demonstrate the ability to frame and scale data problems to effectively analyze, visualize, and find data solutions.
  • Manipulate common data formats, including comma-delimited, text files, and JSON.
  • Transform data and analysis into informative data visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
  • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.
  • Assess the effectiveness and efficiency of logistics functions through data analysis.
  • Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products.
  • Oversee and complete special projects as needed.
  • Rapidly prioritize competing requirements, understand and simplify client requirements.
  • Communicate with clients through written reports and oral presentations.
Qualifications

Required:

  • Pursuit of a Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline
  • Experience working with Python
  • Working knowledge of databases and SQL
  • At least 0-4 years of experience in the field
  • Superior communication skills, both oral and written

Desired:

  • Master's degree or higher
  • Previous experience working with DoD or supply chain data
  • Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics
  • Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.orgNeed help finding the right job?
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LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability, veteran status, or any other factors protected by applicable law. We welcome applications for employment from qualified disabled veterans, veterans of the Vietnam era, and other covered veterans.

Job Summary

JOB TYPE

Full Time

SALARY

$107k-131k (estimate)

POST DATE

08/05/2023

EXPIRATION DATE

05/04/2024

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The job skills required for Data Scientist include Analysis, Data Science, Python, Insight, SQL, Computer Science, 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.

Quotes from people on Data Scientist job description and responsibilities

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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