Senior Data Scientist (Quantitative Modeling, SQL, SAS, R, Python, NLP, Machine Learning, Deep Learning, Deep Neural Networks, Azure, MongoDB, MySQL, Databricks) in Washington DC

Data Scientist, open source languages, quantitative modeling, SQL, SAS, R, Python, Natural Language Processing, Pattern Recognition, Machine Learning, Deep Learning Algorithms, Deep Learning Frameworks, Keras, PyTorch, Deep Neural Networks, Azure, MongoDB, MySQL, Databricks
Full Time
Depends on Experience
Travel not required

Job Description

Senior Data Scientist (Quantitative Modeling, SQL, SAS, R, Python, NLP, Machine Learning, Deep Learning, Deep Neural Networks, Azure, MongoDB, MySQL, Databricks) in Washington DC
POSITION: Senior Data Scientist (Quantitive Modeling, SQL, SAS, R, Python, NLP, Machine Learning, Deep Learning, Deep Neural Networks, Azure, MongoDB, MySQL, Databricks)
LOCATION: Washington DC or Ashburn, VA
DURATION: Full-Time onsite position
SALARY: Excellent Compensation with benefits + 401K
SKILLS: Data Scientist, open source languages, quantitative modeling, SQL, SAS, R, Python, Natural Language Processing, Pattern Recognition, Machine Learning, Deep Learning Algorithms, Deep Learning Frameworks, Keras, PyTorch, Deep Neural Networks, Azure, MongoDB, MySQL, Databricks

DESCRIPTION:

Aggressively searching for data scientists with a passion for using machine learning to create intelligent applications. You will design and implement new algorithms and techniques for working with machine learning models, and collaborate with the group of passionate data scientists and engineers from various disciplines with extensive track records in both academia and industry. We work on many high-impact projects that serve various lines of business within the company. We continuously innovate and are constantly pushing the envelope.

  • The Senior Data Scientist position can be based in Washington, DC or or Ashburn, VA

You will own requirements, inclusive of ‘proof of concept’ development, and co-own the development roadmap. The ideal talent will define success by completing full product cycle from design, implementation, feedback and iteration on systems, frameworks and tools for the company. This specialist engineer will own system integration and contribute to how their software is used in test plans and continuous integration of Machine Learning models. The quintessential candidate will help build, measure and use their software to provide insights to the impact of platform changes.

RESPONSIBILITIES:

  • Solve a wide range real world problems using machine learning and deep learning algorithms.
  • Define opportunities where advanced analytics can provide continuous improvement to the various divisions within the company.
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
  • Uses existing tools and/or coordinate acquisition of new tools to identify, analyze, and interpret trends or patterns in large, complex datasets.
  • Identifies problematic areas and conduct research to determine the best course of action and develops recommendations.
  • Uses experience in visualization techniques to drive model results and depict relevant process trends.
  • Demonstrates analytic capabilities with an understanding of correlation, optimization, and time series analysis.
  • Effectively communicates complex findings into actionable and understandable results for high-level discussions with management and executives.
  • Demonstrates a strong understanding of analysis and computational complexity and ability to programmatically solve.

REQUIRED QUALIFICATIONS:

  • Bachelor’s degree or equivalent experience required in Mathematics, Information Technology, Statistics, Data Science or related field.
  • Minimum of 5+ to 7 years of progressively responsible hands-on quantitative modeling skills and SQL, SAS, R and/or Python experience.
  • Expertise with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
  • Significant experience working with relational databases and associated query/extraction languages.
  • Expertise with optimization, approximation algorithms, distributed algorithm design, and hands-on implementation of these techniques.
  • Ability to stay organized and meet deadlines.
  • Demonstrated ability to work as a team member.
  • A self-starter able to administer a number of open, ongoing assignments at any one time, where some assignments are routinely unstructured, requiring autonomy and independent judgment.
  • Ability to clearly articulate a position with sound logic, supporting empirical evidence, and impartiality.
  • Superior verbal and written communication skills.

PREFERRED QUALIFICATIONS:

  • Experience with one deep learning frameworks such as Keras or PyTorch
  • Experience with distributed training of deep neural networks - data parallelism, model parallelism, distributed task execution frameworks
  • Experience with designing and implementing cloud-based services
  • Experience with building distributed/scalable systems to handle large data sets
  • Experience with Azure, MongoDB, MySQL, and Databricks
  • Experience with containers (Docker) and container orchestration

CRITICAL SKILLS:

  • Experience with cloud based applications (Azure)
  • Experience with open source languages
  • 5 years of quantitative modeling experience
  • Experience in customer facing role (internal or external customers)

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Dice Id : 10216777
Position Id : B_DatScientist
Originally Posted : 3 weeks ago
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