The HR Team
  • 22-Feb-2018 to 23-Apr-2018 (EST)
  • VA, USA
  • Salary
  • Full Time

We offer a comprehensive employee benefit program including health, dental, and vision insurance, life insurance, short term and long term disability insurance, paid time off, company matching under our 401(k) plan, an employee referral bonus program and professional training and development programs.



Interos Solutions, Inc., a fast-growing supplier of SaaS solutions to government agencies and the private sector, is currently seeking a data scientist to join our team.  The core of our solutions is the aggregation and analysis of large data sets to identify relationships, patterns, and correlations with the goal producing predictive and prescriptive insight for our customers. 

We are seeking a Data Scientist who has experience using a variety of data mining and data analysis methods, using a variety of data tools, building and implementing models, using and creating algorithms and creating and running simulations.  Reporting to the COO, this is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals destined to change the face of the supply chain risk and assurance industry.  We are focused on the company's agenda, and work on high-impact projects utilizing big data analytics and machine learning to improve predictive and prescriptive insights. 

Data Scientist Job Duties & Responsibilities

  • Advocate, evangelize and build data-fueled products that help our customers understand and improve the resiliency of their eco-systems and provide actionable supply chain risk insights.
  • Assess the effectiveness and accuracy of new and existing data sources and data gathering techniques.
  • Mine and analyze data from a variety of data sets to tell data stories and extract historical, predictive and prescriptive insights.
  • Implement leading analytic practices, and design and lead iterative learning and development cycles with the goal of producing unique and creative analytic solutions that will become part of our core deliverables.
  • You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes and provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.

Data Scientist Skills & Qualifications

  • Ph.D. or Master's Degree in operations research, applied statistics, data mining, machine learning, physics, economics or a related quantitative discipline. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
  • With 1-3 years of experience delivering world-class data science outcomes; solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills.
  • Passionate about asking and answering questions in large datasets, and able to communicate that passion to product managers and engineers. Have a keen desire to solve business problems and live to find patterns and insights within structured and unstructured data. Propose analytics strategies and solutions that challenge and expand the thinking of the team.
  • Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau and MicroStrategy. Comfortable with relational databases and Hadoop-based data mining frameworks. Familiar with SQL, Python, Java and C/C++.
  • Desire a fast paced, test-driven, collaborative and iterative engineering environment. Love learning, data, scale and agility. Excel at making complex concepts simple and easy to understand. Driven to show the world the power of applied analytics.



To Apply:

Please submit your resume, cover letter and salary requirements for consideration.

We are proud of our diverse environment EOE/M/F/Vet/Disabled.

The HR Team
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