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Lead Data Scientist
$153k-187k (estimate)
Full Time | Retail 0 Months Ago
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Redhorse Corporation is Hiring a Lead Data Scientist Near Arlington, VA

Lead Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.
Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as our Lead Data Scientist for the Conditions Based Maintenance (CBM ) Program. The Delivery Team Leader will be responsible for daily planning and conduct of team activities along with the overall responsibility for team performance against the assigned Platform Backlog. This position will be based in National Capital Region offices in the Rosslyn neighborhood of Arlington, VA.
Essential Functions:
  • Manage a Data Science delivery team of one data scientist and two data analysts performing work on the government-provided PANDA platform.
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • sustain existing WUC predictive failure models
    • support selection and analysis of new WUC predictive failure models
    • field newly approved WUC predictive failure models
    • generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • participate in user and stakeholder engagements and technical discussions
    • gather and provide feedback on best practices and recommended enhancements to the platform
    • document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Data Scientist with 8 years of experience and experience in failure prediction or predictive maintenance work.
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Must have an active Secret clearance
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Experience with sensor-based failure predictions and modeling
  • Experience with Natural Language Processing
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$153k-187k (estimate)

POST DATE

04/11/2023

EXPIRATION DATE

04/30/2024

WEBSITE

redhorsecorp.com

HEADQUARTERS

TOYOSU, KANTO

SIZE

200 - 500

FOUNDED

2008

CEO

TAKAHARU MIYAMOTO

REVENUE

$200M - $500M

INDUSTRY

Retail

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The job skills required for Lead Data Scientist include Data Science, Machine Learning, Computer Science, Data Analysis, Leadership, Communication Skills, etc. Having related job skills and expertise will give you an advantage when applying to be a Lead 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 Lead 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 Lead Data Scientist positions, which can be used as a reference in future career path planning. As a Lead Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Lead Data Scientist. You can explore the career advancement for a Lead Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Lead 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 Lead Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Lead Data Scientist job description and responsibilities

Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where advanced statistics, data science, and AI can be leveraged

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Understanding of limitations and best practices related to model specification, comparison, selection, and deployment.

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in-depth knowledge of statistics, probability, and machine learning methodologies

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Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results.

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Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

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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 Lead Data Scientist jobs

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Have strong fundamentals in statistics, optimization, and experimental design

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Step 3: View the best colleges and universities for Lead Data Scientist.

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