At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' '
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
In the role of Senior Data Analyst, we'll count on you to:
- 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
Preferred Qualifications- ESRI ArcGIS desktop, ArcGIS Pro, ArcGIS Online (AGOL) experience
- FME or other ETL tool experience
- Oracle Spatial or SQL Server Spatial back-end data processing experience
- Web-based application development
- Relational database management experience
- Artificial Intelligence / Machine Learning experience
- Remote sensing and/or computer vision experience
- Asset Management experience
- Data & Cloud Platforms: Snowflake, AWS
- SCADA /OT Systems: Cygnet, FlowCal, Enertia, Field Data Capture (FDC) tools
- Knowledge of NIST cybersecurity framework, MITRE ATT&CK, and data governance best practices
Qualifications Required Qualifications- A degree in a closely related field or combination of education and relevant experience
- A minimum of 5 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas
- A minimum of 5 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
- A minimum of 5 years experience with data science languages such as Python and R
- Self-motivated, detail-oriented professional, ability to multitask a must
- Proficiency with MS Office including Word and Outlook
- Ability to handle confidential information
- Excellent writing and people skills
- Strong math and organizational skills
- Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
- Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
- An attitude and commitment to being an active participant of our employee-owned culture is a must
- In-depth knowledge of machine learning algorithms, statistical models, and data analytics
- Experience leading multiple complex data science projects
- Experience leading and mentoring junior data scientists
- Experience setting the strategic direction of data management, data science practices and technology planning
What We BelieveHDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our CommitmentAs employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.
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