Job description

Job Summary:
The Data Scientist is passionate about using data science to enhance customer experience, identify sales opportunities, improve business operations, and recommend high value sales motions with a high probability of success. The role requires in-depth and hands-on knowledge of advanced analytics practices and approaches including Machine Learning & Artificial Intelligence and the creativity to discuss innovation opportunities with business partners and shape cutting edge applications and proposals.

The Data Scientist must be comfortable working in a multidisciplinary environment to drive business solutions. Additionally, the Data Scientist will meet with executive/c-suite team members to present findings and make recommendations based on project outcomes.
About Us:
Founded in 1989, SHI International is a global IT solutions provider, with a projected 2020 revenue of $11 billion. SHI currently has 5,000 employees worldwide.

To learn more about SHI International Corp, visit our website:

What SHI Can Offer:
  • World Class Facility includes on site gyms and cafeterias
  • Ongoing opportunities for personal and professional growth and development due to our strong promote from within philosophy
  • Work in an up-beat, creative, and fun environment
  • Benefits including medical, vision, dental, 401K, and flexible spending
Include but not limited to:
  • Lead and participate in highly visible, complex, data-driven research projects that have a direct impact on SHI’s business
  • Explore the space of analytical solutions for a given problem and execute with a sound strategy
  • Acquire, analyze, and act on complex, high-dimensional data sets using appropriate statistical/machine learning approaches
    • Gather and integrate data; create ETL (Extract, transform & load) jobs
    • Explore, inspect, and clean data; engineer features
    • Train, validate, and test statistical/machine learning models
    • Deploy and maintain statistical/machine learning model-based applications and services
  • Organize and lead meetings with internal stakeholders to present and discuss project objectives, timelines, progress, and outcomes
  • Collaborate and coordinate with internal groups, as needed, to accomplish project objectives
  • Maintain up-to-date working knowledge in relevant areas of data science, statistics, machine learning, and artificial intelligence
  • Masters degree or PhD in Data Science, Computer Science, Statistics or related quantitative discipline
  • 5 years of work experience (which can include post-doctoral work) as a data scientist, statistician, machine learning engineer, or equivalent role
  • Strong working knowledge of data science, statistics, and machine learning theory, algorithms, and applications, covering:
    • Unsupervised learning (dimensionality reduction and clustering)
    • Supervised learning (regression and classification)
    • Multiple model types (linear models, generalized linear models, trees, neural networks, ensembles)
    • Multiple inference methods (maximum likelihood, Bayesian, approximate Bayesian)
    • Workflows (exploratory data analysis; model training, validation, and testing)
  • Experience with most phases of a data science project:
    • Data gathering
    • Data inspection, cleaning, preprocessing
    • Exploratory data analysis
    • Statistical or machine learning model fitting, validation, and testing
    • Model deployment and maintenance
    • Data visualization and communication of findings
Required Skills:
  • Ability to work with large datasets (millions of observations)
  • Skilled in one or more programming languages such as Python
  • Familiarity with a cloud computing platform such as Amazon Web Services
  • Excellent communication, interpersonal, verbal, and written skills
  • Strong public speaking and presentation skills
  • Ability to keep pace with rapidly evolving knowledge, technology, and industry practices
  • Ability to adapt to changing priorities and unforeseen challenges
Preferred Skills/Qualifications:
  • Programming languages: Python and SQL
  • Cloud computing platform: Amazon Web Services (Sagemaker, Glue, Lambda, API Gateway)
  • Machine learning and statistics tools (any of): Scikit-learn, Statsmodels, Tensorflow, Torch, Stan, PyMC3, or Amazon Sagemaker
  • Experience with natural language processing
  • Experience with recommender systems
  • Experience with forecasting
  • Experience with A/B testing
  • Experience with sales data
  • Experience with bespoke statistical modeling
Unique Requirements:
  • Extended hours are required to complete some special projects
Additional Information:
  • FLSA: Exempt
  • Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

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