Senior Behavioral Science and Strategy Consultant

Job Description

Why join us?  

It’s an exciting time at AtkinsRéalis! We are rapidly growing in the US. Our company purpose is to build a better world for our planet and its people. We recognize the importance of making sure that our clients and employees, feel this purpose every day. AtkinsRéalis is proud of our company culture that promotes, diversity, equity and inclusion. Our company ethos include collaboration through the connection of people, data and technology. We are a global firm, who leverages having employees located throughout the world, creating valuable partnerships and doing our part to make this planet and its people, thrive.  We need energetic, passionate and eager professionals like you to join our team. There has never been a better time to be a part of AtkinsRéalis! 

We are seeking a Senior Behavioral Science and Strategy Consultant to join our Resilience and Planning Team. The preferred location for this position is one of our Washington, DC-area offices, however consideration may be made for working remotely from anywhere within the US.

The ideal candidate will be able to showcase their technical expertise, project/program delivery skills, and ability to work collaboratively with experts spanning physical and social science disciplines to solve important and impactful real-world problems.

In this position as a Senior Behavioral Science and Strategy Consultant, you will help us, and our clients make informed and optimal decisions using best-available environmental, engineering, and socioeconomic datasets. You will work closely with various stakeholders to understand their business problems and priorities, formulate data-driven and evidence-based solutions, and communicate actionable insights.

This position is expected to take the lead in project-specific teams, using client insights and expectations to guide the design and implementation of data collection, integration, analysis, evaluation, and communication tasks against project objectives. The incumbent will be responsible for the information gathering necessary to understand and fully frame client challenges, goals, competing priorities, and values, and translate that understanding into data, analytics, and other processes and products. They will apply broad knowledge of social and behavioral sciences, spanning decision theory to economics, and blend it with advanced technology and datasets to deliver solutions to diverse problems. They are expected to carry out job functions leading a small, project-oriented, multidisciplinary team of data science professionals, and be able to support direct interaction with clients within the context of project progress meetings, design reviews, operations, and project production and delivery.

About Us  

AtkinsRéalis is one of the world’s most respected design, engineering, and project management consultancies. AtkinsRéalis has been providing infrastructure planning, engineering, construction, environmental consulting, urban planning, architecture, and program management services to public and private clients across the United States for more than 50 years. AtkinsRéalis has the depth and breadth of expertise to respond to the most technically challenging and time-critical infrastructure projects and the urgent transition to a low-carbon economy. 

How will you contribute to the team?

• Collaborate with industry leaders, managers, engineers, and other decision and data scientists and lead efforts to define and scope decision problems.

• Apply demonstrated experience combining social and behavioral sciences, analytics, data science, and strategy to help make data-driven decisions.

• Collect and organize data from many different sources, including structured and unstructured data.

• Collect, clean, and analyze data from various sources using SQL, Python, R, and others.

• Leverage behavioral and statistical models, methods, and metrics to understand and predict opinions, attitudes, and behaviors of interest.

• Understand and apply advanced statistical and machine learning techniques to build predictive models, optimization algorithms, and simulation scenarios.

• Evaluate the performance, robustness, and trade-offs of different analytical approaches and solutions.

• Apply experience scoping and developing decision-support tools and derivative products and services.

• Present and visualize data and insights using dashboards, reports, and presentations.

• Identify data sources that can assist with integrating equity and/or Justice40 initiatives with ongoing client resiliency efforts.

• Communicate complex concepts, findings, and recommendations to non-technical audiences, including clients, in a clear, concise manner and accounting for potential cultural or social sensitivities.