Data Scientist

STV is seeking a Data Scientist to join our Digital Advisory department at our New York City office.

Responsibilities:

• Apply statistical modeling and machine learning techniques to extract insights from complex project datasets

• Develop predictive models to forecast project outcomes, identify risks, and optimize resource allocation

• Create advanced data visualizations and interactive dashboards using PowerBI, Python, or R to communicate model results and insights

• Collaborate with cross-functional teams to identify opportunities for data science applications and establish analytical best practices

• Implement data pipelines and machine learning workflows using Python/R to streamline model deployment and monitoring

• Conduct exploratory data analysis to uncover patterns and trends in large, multi-source datasets

• Build and maintain machine learning models for classification, regression, and clustering problems

• Document model development processes, validation procedures, and analytical methodologies for reproducibility

• Present findings to both technical and non-technical stakeholders through clear storytelling and data visualization

Required Experience:

To stand out in this role, you should possess:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field

• 1-3 years of experience in data science, machine learning, or statistical analysis (internships and academic projects count)

• Proficiency in Python or R for data manipulation, statistical analysis, and machine learning model development

• Experience with machine learning libraries (scikit-learn, pandas, numpy, matplotlib/seaborn, or equivalent R packages)

• Knowledge of statistical concepts including hypothesis testing, regression analysis, and experimental design

• Experience with SQL for data extraction and manipulation from relational databases

• Familiarity with data visualization tools (PowerBI preferred, but experience with Tableau, matplotlib, or ggplot2 acceptable)

• Understanding of model validation techniques, cross-validation, and performance metrics

• Strong analytical and problem-solving skills with attention to detail

• Ability to communicate complex technical concepts to diverse audiences

• Experience working with large datasets and data preprocessing techniques

Preferred Qualifications

• Experience with advanced machine learning techniques (ensemble methods, deep learning, time series forecasting)

• Knowledge of cloud platforms (Azure, etc.) for data science and machine learning deployment

• Familiarity with MLOps practices and model deployment frameworks

• Experience with transportation and/or infrastructure projects and programs

• Knowledge of Project Management Information Systems (PMIS) and construction industry data

• Experience with geospatial analytics, GIS data, and mapping visualization techniques

• Proficiency with version control systems (Git) and collaborative development workflows

• Understanding of data governance, model ethics, and regulatory compliance in analytics

• Previous experience presenting analytical findings at conferences or professional meetings

STV is committed to paying all its employees in a fair, equitable, and transparent manner. The following pay ranges are STV’s good-faith salary estimates for every presently available position. Please note that the final salary offered for any position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

Compensation Range:

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.

STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships

STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.