Data Scientist

M9 Solutions, Washington, DC

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations who desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include digital transformation, software development, cloud migration, applications & infrastructure, cybersecurity, data delivery & analytics, and IT talent solutions.

 

M9 Solutions is seeking a Data Scientist to work hybrid remote/on-site on a government contract for a client located in Washington, DC. An active TS/SCI clearance is required.

Responsibilities

  • Be involved in full spectrum analytic technical support tasks, such as requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience.
  • Work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and develop analytic products tailored to mission user requirements.
  • Produce analytic products that clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on.
  • Define and communicate a clear product vision for the customer’s software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Document customer requirements to be used for project management.
  • Develop technical architecture that supports development approach.
  • Forecast and outline technical tasks that guide weekly development in support of technical projects.
  • Partner with a government product owner and collaborate with a Data Science team of 5 – 8 individuals.

Required Skills & Qualifications

  • Ability to work on-site in Washington, DC on a hybrid schedule.
  • Active TS/SCI security clearance.
  • STEM Bachelor’s degree and 6 – 8+ years of relevant experience, or STEM Master’s degree and 4 – 6+ years of relevant experience, or 10 – 12+ years of relevant experience in lieu of a degree.
  • Hands-on experience implementing, training, and evaluating deep learning models with familiarity of adversarial, semi-supervised, and generative architectures.
  • Hands-on experience working with Torch, TensorFlow, and similar machine learning frameworks.
  • Skilled in evaluating machine learning models using various metrics beyond accuracy and implementing strategies to improve performance.
  • Hands-on experience using statistical and machine learning techniques to model, characterize, and extract meaning from structured and unstructured data.
  • Experience executing data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
  • Hands-on experience in object-oriented programming with a language such as C++, Java, or Python (Python as primary programming languages).
  • Hands-on experience working on source controlled code with a functional team in a tool like Git or Subversion.
  • Hands-on experience programmatically interacting with cloud (e.g.: Amazon Web Service (AWS)) services and products.
  • Experience using or exposure to Python libraries such as pandas, NumPy, GeoPandas, requests, urlib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, NLTK, spaCy, Gensim.
  • Strong strategic communication skills to include presenting quantitative concepts in easy-to-understand formats and actively listening to identify business problems and their causes.
  • Strong interpersonal skills.
  • Skills & Technologies:
    • Technical Documentation
    • Statistics, Mathematics
    • Natural Language Processing (NLP)
    • Atlassian Confluence
    • JIRA
    • Github
    • GitLab
    • Gitlab Administration
    • Data Analytics Tool
    • Amazon Web Services (AWS)
    • Amazon Sagemaker
    • Amazon AWS

Preferred Skills & Qualifications

  • Hands-on experience implementing generative AI (Gen AI) models.
  • Hands-on experience implementing Retrieval Augmented Generation (RAG) in Gen AI solutions.
  • Experience implementing advanced NLP machine learning models on tasks such as entity resolution, question and answering, and text summarization.
  • Experience developing and deploying data science solutions in containers.
  • Experience/familiarity with interacting programmatically with data stores and analytic services.
  • Working knowledge and experience in accessing remote APIs using cryptographic keys and digital certificates.
  • Experience extracting features from data stored in a wide range of possible formats including JSON, XML, raw text logs, industry-specific encodings, and graph link data.
  • Working knowledge of collaboration tools such as Jira and Confluence.

Full-Time Employee Compensation

  • M9 Solutions’ pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the position, education, experience, knowledge, skills, abilities, as well as internal equity, location, alignment with market data, applicable bargaining agreement (if any), or other law.
  • M9 Benefits - https://m9solutions.com/why-join-m9/#our-benefits

Salary Range
$60,000—$180,000 USD

 

M9 Solutions LLC is an Equal Opportunity Employer – AA/EOE/W/M/Vet/Disabled.

M9 Solutions, LLC (M9) is a Federal contractor and an Equal Opportunity Employer. M9 is subject to Executive Order 11246, which requires government contractors to take affirmative action to ensure that equal opportunity is provided in all aspects of their employment. Please click here to complete M9's Voluntary Self-Identification Form and then email it to hr@m9solutions.com. Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. If you are an individual with disabilities who needs accommodation or you are having difficulty using our website to apply for employment, please contact M9’s Human Resources Department at hr@m9solutions.com or at 703-936-0880.

With 14+ years of proven delivery and steady growth, M9 Solutions is a unique small business with credible past performance and key capabilities offering project management services, solution architects, business analysts, program managers, technical architects, and technical consultants. M9 was recognized as an Inc. 5000 Fastest-Growing Private Companies in 2021, 2020, 2019, 2018, 2017, 2016, and 2012. M9 Solutions believes that work should be fun, rewarding, and something everyone can be excited about. We offer a competitive compensation package and value diversity in driving the vision of the company.

F 7.2-27 REV - 6 01/24/2023

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