Jr. Data Scientist

Location: Somerset, NJ 08873

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Job Summary:
The Jr. Data Scientist is passionate about using data science to achieve business success and inform organizational development. The role requires in depth knowledge of existing advanced analytics practices and approaches including Machine Learning & Artificial Intelligence. The Jr. Data Scientist needs to be comfortable to work in a multidisciplinary environment pursuing insights as directed by the CIO. Additionally, the Jr. Data Scientist is expected to assist in presentation of their findings, both by drafting materials and in limited capacity as a presenter.

This position reports to the Lead Data Scientist and is performed at SHI’s Somerset NJ office location.
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: www.shi.com/careers

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:
  • Directly participate in the delivery of data-driven research projects that have a direct impact on SHI’s business
  • Contribute to highly visible, complex projects, programs or solutions at direction of Lead Data Scientist
  • 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
  • Participate meetings with internal stakeholders to present and discuss project objectives, timelines, progress, and outcomes
  • Maintain up-to-date working knowledge in relevant areas of data science, statistics, machine learning, and artificial intelligence
  • Prepare documents & presentation materials for leadership as necessary for approval & buy-in
  • One of the following
    • Master’s degree in Data Science, Computer Science, Statistics or related quantitative discipline
    • Bachelors in in Computer Science, Data Science, Statistics or related quantitative discipline + 2 years work experience 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 with large datasets (millions of observations)
  • Proficient with 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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