Intermediate Data Science Specialist

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Intermediate Data Science Specialist 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,

Read the full description at sjobs.brassring.com. FewerJobs shows a preview and links to the original posting.