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(US) Data Scientist / Engineer

(US) Data Scientist / Engineer

Mitratech Holdings, Inc.Austin, TX, United States
3 days ago
Job type
  • Full-time
Job description

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we're always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview As a Data Scientist at Mitratech, you will be assisting in the development of Artificial Intelligence products. The role will involve analyzing business requirements, understanding the data available, and building models that can solve problems in the legal industry.

Essential Duties & Responsibilities :

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company's data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Interfacing with product and software development team and clearly communicating model analysis and outputs to be integrated into a software product.
  • Effectively communicate conceptual ideas, detailed design, design rationale, and research findings, both verbally and visually.

Requirements & Skills :

  • Strong experience with data analysis, data processing, and model training
  • Familiar with working with US counterparts and has processes to do so
  • Understanding of Natural Language Processing, Neural Networks, and other algorithms
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, NumPy, Jupyter Notebook, etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools.
  • Proficiency in using query languages.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills (Java and Python). Experience with source code management tools such as Git
  • Data-oriented personality
  • Education :

  • 2+ years experience with Master's degree or higher with a focus in Data Science
  • 5+ years of experience with Bachelor's degree with a focus in Data Science.
  • Mitratech is proud to be an EEOE, M / F / D / V, and we are committed to diversity both in practice and spirit at the corporate level.Mitratech participates in the Electronic Employment Verification Program. E-Verify is an Internet-based system that compares information from an employee's I-9 to data from the U.S. Department of Homeland Security and Social Security Administration Records. To learn more, visit : everify.com

    We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

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