Metropolis uses computer vision–driven AI to make physical-world transactions—such as parking, fueling and retail checkout—frictionless and personalized.
<h3>Who we are</h3> <p>Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.</p> <h3>Who you are</h3> <p>We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.</p> <h3>What you'll do</h3> <ul> <li>Collect, process, and analyze large datasets from multiple sources</li> <li>Build and deploy machine learning models to solve business problems</li> <li>Design and implement A/B tests and statistical analyses</li> <li>Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements</li> <li>Communicate complex data insights in a clear and actionable manner to stakeholders</li> <li>Develop dashboards and visualizations to monitor key metrics</li> <li>Stay current with the latest trends and technologies in data science and AI</li> </ul> <h3>What we're looking for</h3> <ul> <li>Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field</li> <li>4+ years of proven experience as a Data Scientist or Data Analyst</li> <li>Strong knowledge of Python and SQL</li> <li>Hands-on experience with machine learning frameworks (e.g., scikit learn, tensorflow, pytorch)</li> <li>Experience with big data tools (e.g., Spark, Hadoop)</li> <li>Familiarity with data visualization tools</li> <li>Strong analytical, problem-solving, and communication skills</li> <li>Experience leveraging AI tools to transform static workflows into responsive, high-output processes</li> </ul> <h3>While not required, these are a plus:</h3> <ul> <li>Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)</li> <li>Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL</li> <li>Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)</li> </ul> <hr> <p><strong>3 Days in Office:</strong> Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least three days a week, fostering organic interactions that spark creativity and connection.</p> <p><em>When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. </em><span style="color: rgb(255, 255, 255);"><em>#LI-SR1 #LI-Onsite</em></span></p><div class="content-conclusion"><p><em>Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.</em></p> <p><em>As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.</em></p> <p><em>Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</em></p></div>