HDR is seeking a Senior Data Scientist to join their Transportation Business Group. The role involves handling sensitive data, developing data products, and collaborating with stakeholders to improve business decisions. The ideal candidate will have a minimum of 5 years of experience with data engineering tools, business intelligence tools, and data science languages, as well as strong math and organizational skills.
Requirements
- Handle highly sensitive and confidential information with professionalism and discretion
- Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
- Develop data products including reports, visualizations, and dashboards
- Adhere to software and data science development standards
- Perform data acquisition, sourcing, cleaning, and exploratory data analysis (EDA)
- Transform raw data into usable attributes for machine learning modules through feature engineering
- Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference
- Create automated data pipelines and data engineering solutions
- Develop advanced and custom predictive models (classification, regression, time series, neural networks, and natural language processing
- Leverage predictive models to optimize business results
- Mitigate bias and promote data privacy, ethics, transparency, explainability, and fairness in data science models
- Provide technical leadership and expertise on projects with cross functional teams
- Mentor, train, and develop team members and data science practices in the organization
- Identify, organize, and develop long term business and technology plans for data science strategies
- Tune models with training, hyperparameters with comprehensive validation and testing processes
- Leverage predictive models to optimize business results
Benefits
- Professional development opportunities
- Diverse and inclusive work environment
- Employee ownership and equity
- Competitive salary and benefits package
- Opportunities for advancement and career growth

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