Think Beyond The Label Jobs

We challenge what is currently accepted, so we can shape innovative and lasting solutions for tomorrow. If you’re interested in a long and rewarding career working with the #1 globally ranked wastewater treatment engineering firm, and with the industry’s best and most innovative engineers, then Jacobs is where you belong. We are looking for a driven and curious client-focused Junior Water / Wastewater Treatment Operations Specialist/ Process Engineer with machine learning and data science expertise to support our world-wide team. In this role, you'll be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for applications of machine-learning.

As a key member of our digital solutions team, you'll be a core member of a Jacobs group that is developing and providing the next generation of advanced design and process control tools for us and our clients. You’ll have the chance to perform a variety of municipal wastewater and drinking water treatment and potable reuse engineering work in the initial planning and design phase of projects. Working with other members of our digital and O&M teams, you'll work on projects evaluating and selecting the best treatment approach to solve a client’s challenges and planning and designing digital solutions to improve plant performance.

As part of our team, you will also have the opportunity to:

• Collaborate with Jacobs’ deep bench of subject matter experts and solution development teams

• Propose technical solutions and strategies to business challenges, including the development of digital twin applications

• Identify data sources and automate collection processes

• Undertake preprocessing/quality control of structured and unstructured data

• Analyze large amounts of information to discover trends and patterns

• Build predictive models and machine-learning algorithms to benefit clients and the environment

• Combine models through ensemble modeling

• Present information using data visualization techniques

• Prepare documentation explaining results

At Jacobs, we’re partnering across the globe to create the best project outcomes by maximizing the design, digital technology, and support capabilities of many digital and water subject matter experts, plus our key digital partners outside of Jacobs. By joining Jacobs, you’ll commit to supporting and engaging with these teams, as we work to build a company like no other.

Join us and we will assist in continuing the development of your skills and exploring all that you can do across our global company, with opportunities to share your knowledge along the way.

#omfs #challengeaccepted #bia #ourjacobs

• Master’s degree in Environmental, Chemical, or Civil Engineering

• Process modeling experience

• Machine learning-based data analysis experience

Ideally, you’ll also have:

• Graduate degree or Minor in Data Science or other quantitative field is preferred

• In-Plant Water or Wastewater treatment experience

• Knowledge of wastewater simulation tools such as Sumo and the associated automation capabilities

• Fundamentals of Engineering (FE) certification or ability to get within a year

• Experience applying data science in Jacobs’ markets, especially water and wastewater applications

• Understanding of machine-learning workflows, data management, technology stacks

• Extensive knowledge and experience in Python, R, and SQL; familiarity or passion to learn JavaScript, HTML5, CSS, C#, and/or C++; GitHub and Azure DevOps

• Experience using business intelligence tools (i.e., Power BI, Tableau) and data frameworks (i.e., Hadoop, Mongo)

• Analytical mind and business acumen

• Strong math skills (i.e., statistics, algebra)

• Problem-solving aptitude

• Excellent communication and presentation skills

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.