Data Scientist II - Asset Analytics and Transportation Modeling
Role details
Job location
Tech stack
Job description
This opportunity entails being responsible for designing and implementing data science solutions that address business challenges. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques. The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. This role builds on foundational skills and introduces broader responsibilities in technical execution, problem-solving, and team collaboration.
What You'll Do:
- Analyzes large datasets to identify trends, patterns, and actionable insights.
- Builds and validates predictive models using statistical and machine learning techniques.
- Collaborates with stakeholders to define problem statements and data requirements.
- Develops and maintains data pipelines and model deployment workflows.
- Conducts A/B testing and evaluates model performance.
- Mentors junior team members and contributes to knowledge sharing.
- Presents findings to technical and non-technical audiences.
- Performs other duties as assigned., HNTB will recruit, hire, train, and promote individuals in all job titles, and will ensure that all other personnel actions are administered, without regard to an individual's protected veteran or disability status. All employment decisions will be based only on valid job requirements. In addition, employees and applicants shall not be subjected to harassment, intimidation, threats, coercion, or discrimination because they have engaged in or may engage in any of the following activities: (1) filing a complaint; (2) assisting or participating in an investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State, or local law requiring equal opportunity for protected veterans or individuals with disabilities; (3) opposing any act or practice made unlawful by Section 4212, Section 503, their implementing regulations, or any other Federal, State, or local law requiring equal opportunity for protected veterans or individuals with disabilities; or (4) exercising any other right protected by Section 4212, Section 503, or their implementing regulations.
The non-confidential portions of the affirmative action program for protected veterans and individuals with disabilities shall be available for inspection upon request by any employee or applicant for employment. These plans are available for review upon request during normal business hours. Any questions or requests to review should be directed to your Human Resources Partner.
As Chief Executive Officer, I fully support our affirmative action program and am committed to the implementation of the company's affirmative action policy. I have delegated overall responsibility for this policy to the Business Integrity Director. The Manager of HR Compliance & Immigration is responsible for the implementation, auditing, and reporting of this policy and program, assisted by the office's Human Resources Partner.
HNTB employees must comply with this policy and report any violations of illegal discrimination, as specified in the Integrity Reporting policy.
Requirements
- Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or
- Master's degree in data science, statistics, computer science, computer engineering, or information systems and 1 years of relevant experience, or
- In lieu of education, 6 years of relevant experience
What You'll Bring:
- Experience applying data science to infrastructure/transportation use casessuch asasset analytics, deterioration modeling, resilience, or risk assessment.
- Experience with statistical modeling, regression, and travelbehaviorand survey data.
- ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results throughArcGIS,Power BI, Tableau, or similar tools.
- Demonstrated experience with machine learning algorithms and applied model development (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.).
- Strong stakeholder communication skills and comfort translating analytical results into actionable guidance.
What We Prefer:
- Master's degree in data science, statistics, computer science, computer engineering, or information systems
Benefits & conditions
The approximate pay range for New York is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state., The approximate pay range for Ohio is $74,417.85 - $111,626.77. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state., The approximate pay range for Minnesota is $78,138.74 - $117,208.11. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state., The approximate pay range for Illinois is $81,859.63 - $122,789.44. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state., The approximate nation wide pay range for this position is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual's qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.