Your Impact:

At Jacobs, we're embarking on an exciting journey as we initiate the development of our Digital & Data Hub in the heart of Krakow. Our mission is to undertake projects spanning various industries, including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport.

By working together in international teams and with different perspectives, we gain the experience that is our collective strength.

In Jacobs, every day is a chance to make the world a better place - let's design your career with us!

This is a structure which is an early-stage product team that does early market, product, and algorithmic/data science research and development, including mockups, trials, and prototypes. This small team will helps push transportation data and industry to the next generation of tools, use cases, and smart policy making and transportation systems. We are looking for a creative, collaborative, and self-driven data scientist with excellent data visualization skills, to power this work. This position requires strong data science and structuring skills as well as a strong ability to design visualizations and dashboards that convey insights from data.

Key Responsibilities:

• Design algorithms and models to infer key transportation patterns from various data sources, both StreetLight’s own data and metrics as well as third party data

• Collaborate with the PM and other internal teams to turn high-level specifications into clean, accurate analytics and collaborate to convey them via mock-ups, using third party data visualization or custom-built tools

• Collaborate with the PM and teammates to share insights about what could be learned from this data

• Research academic and other third party sources to design methods to create validation reports for new metrics. This includes developing expertise with important public data sets, such as the census, NHTS, economic survey, and ACS, and important modeling and geospatial programming packages/libraries

• Keep excellent documentation of code and research, to facilitate handing off to internal teams when applicable

• Research and implement suitable strategies (from neural networks to a simple SQL filter, if that’s more actionable) for solving data science problems

• Find and build real-world data sets for training various models and performing validations

• Define and implement customized and/or cutting-edge solutions with pilot customers

Here’s what you’ll need :

• BS/MS in Mathematics, Science, Computer Science, Transportation or Civil Engineering, Transportation, or a similar discipline

• 4 years expertise and experience in exploratory data analysis and statistics, using tools such as R, Python, and PostgreSQL

• 4 years expertise and skills in data visualization and business intelligence tools such as Tableau and ESRI

• 2 years of experience in SQL and relational databases (PostgreSQL preferred), and good understanding of relational concepts

• Experience working with very large datasets in a SQL environment

• Understanding of techniques in data science (machine learning algorithms, forecasting, regression analysis, etc.)

• Strong data analysis skills, knowing what is/isn't possible

• Strong data visualization and data story-telling skills, including ability to visualize data in the best way possible

• Good written, visual (presentations), and verbal communication skills

• Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms

• Knowledge of transportation data/industry is a big plus. This includes working in a transportation-focused role within government, consulting, private-sector mobility, or a non-profit

We offer:

• Unique company culture fostering individual career growth and work-life balance

• Full-time employment contract with salary corresponding to qualifications

• Hybrid working model

• Flexible working hours (we start between 7:30-10:00)

• “Short Fridays” (we work 6h on Friday)

• Flexible benefits package (Lux Med medical care, psychological care, life insurance, My Benefit cafeteria system, including Multisport card co-financing, car park sharing system)

• Membership in Jacobs employee networks (Women's Network, OneWorld, PRISM, Careers Network, Green Team, Toastmasters, Collectively and others)

• Continuous development opportunities, including a range of professional trainings and certifications (e.g. ACCA, CIPS), Graduate Development Program, Learners’ Community, self-learning platform

• Opportunity to take part in language courses (English, German, Polish)

We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs (https://www.jacobs.com/about/inclusion-and-diversity) .

As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy.

If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team recruitmentpoland@jacobs.com

Please note that we are undergoing database maintenance from May 22nd to 28th. During this time, you may experience temporary outages or slower response times when using the online application. We apologize for any inconvenience this may cause. If you have any questions or encounter difficulties applying for a role, please don't hesitate to contact me directly at dorota.rak@jacobs.com

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.