Data Scientist at Metropolis

<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, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.<br><br>We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at <span><a href="mailto:[email protected]" target="_blank">[email protected]</a></span>.</em></p></div>