Intermediate Data Scientist

Company Overview

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Job Description

CDM Smith is seeking a Intermediate Data Scientist to enhance the capabilities of the Analytics team in Predictive Modelling and Computer Vision. This individual will have the opportunity to work alongside talented and innovative team members to drive Analytics initiatives that are transformative to CDM Smith. Under light supervision, this individual gathers data, creates Predictive Models and custom solutions. Primary responsibilities: • The individual will apply Machine learning algorithms and techniques. • Ability to apply a broad range of algorithms to varied data science problems including but not limited to Predictive Analytics, Computer Vision and Text Analytics. • Experience with supervised and unsupervised learning as well as extensive experience with Data Science languages like Python and R. • Design meaningful visualization using Qlik, Tableau or other tools. • Enhance Data collection procedures to include information that is relevant to building analytics systems. Data Science Skills: • Python, R, Deep Learning Neural Networks • Traffic Analysis using Computer Vision and AI. • Exposure to Azure AI or AWS Machine Learning Modules a plus. • Ability to write SQL queries as well as logical scripts. Nice to have skills: • OpenCV • Caffe2 • Azure Custom Vision • YOLO3 Minimum Qualifications: • Graduate degree (M Tech or PhD) with a specialization on computer vision, machine learning, data analysis is strongly preferred. • 3+ years of related experience- including delivering Predictive Analytics/Custom Vision solutions. • Some experience with Analytics/Business Intelligence tools such as Qlik, Birst, Tableau, Power BI, Spotfire, or comparable products. • Ability to create data visualizations and transform concepts into fully realized production applications. • Ability to learn the business and develop relationships that enhance the value of the Business Technology (IT). • Ability to manipulate SQL queries
Skills & Abilities

Intermediate experience with statistical computing and programming languages (ex: R, Python, Java, Scala, etc.) is required. Intermediate experience with data preparation, data manipulation languages, libraries, and visual ETL (extract, transform, load) tools in support of data science use-cases is required. Understanding of machine learning techniques and algorithms. Possesses solid written and oral communication skills and ability to interact with varying levels of staff, as well as vendors. Demonstrates excellent organizational skills to balance and prioritize work. Intermediate data visualization skills. Intermediate knowledge of and ability to use data modeling software. Intermediate analytical, quantitative, and statistical skills. Intermediate knowledge of data cleansing, validation and general quality control principles.
Qualifications

Bachelor's Degree. 3 years of related experience. Equivalent additional directly related experience will be considered in lieu of a degree. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
Amount of Travel Required

No Travel is required
Background Check and Drug Testing Information

CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
Additional Pay Range Information

CDM Smith is committed to fair and equitable compensation practices. This pay range is a good faith estimate representative of all experience levels for the geographic location assigned to the position. In addition to geographic location, a candidate’s salary is determined by several other factors including, but not limited to, the role, function and associated responsibilities, relevant work experience, skills, required certifications, and education/training.
Additional Compensation

All bonuses at CDM Smith are discretionary and may or may not apply to this position.
Visa Sponsorship Available

No - We are not open to sponsoring for this position
Agency Disclaimer

All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Talent Acquisition Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith Inc. and its divisions and subsidiaries staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith Inc. and its divisions and subsidiaries and any resume submitted to any employee outside of CDM Smith Talent Acquisition Team will be considered property of CDM Smith. CDM Smith Inc. and its divisions and subsidiaries will not be held liable to pay a placement fee.