Senior Data Scientist

Join the CenterCheck Team – Data Scientist and Data Engineer

Location: Remote - HQ in Los Angeles

Industry: Location Intelligence

CenterCheck is a location intelligence platform that helps property owners, retailers, brokerages, REITs, banks, financial services firms, and municipalities understand how physical locations perform nationwide. By combining transaction data and customer intelligence, we give clients the insights they need to make smarter decisions about real estate and local markets.

We’re looking for a motivated Data Scientist and Data Engineer who’s excited to help improve our real-world modeling with a fast-moving company at the intersection of technology and location intelligence.

You Are:

• Passionate about building models of real world behavior.
• An excellent judge of your own abilities.
• An inspired communicator.
• Collaborative by nature with an acute touch for mentorship.
• Extremely self-sufficient and self-motivated, and despise micromanagement.
• Thoughtful in your actions.
• Data-informed.
• Driven and meticulous.
• Motivated by creativity.
• Willing and able to work Pacific Time Zone hours.

Responsibilities:

• Set data requirements based on information from internal teams and user research.
• Have an eagerness to innovate on the product and identify creative data solutions to improve the user experience.
• Analyze how a product solution satisfies market needs and consumer preferences.
• Coordinate with stakeholders and other team members to ensure consistent and accurate communication.
• Seek new data sources to improve our models.
• Ensure quality and accurate fitness of the real world.
• Interface between prospective clients, sales, and customer support to respond to specific customer inquiries.
• Develop customized reports, stylized and branded for professionalism.
• Data entry - Not afraid to spend full days grinding.

4-5 Years of Experience in the Following Areas of Data Science & Statistics:

• Geospatial Analysis: Extracting insights from location-based data.
• Descriptive & Inferential Statistics: Summarizing data and making data-driven decisions using hypothesis testing and confidence intervals.
• Correlation Analysis: Identifying relationships between variables.
• Machine Learning: Building models for regression, classification, clustering, and outlier detection.
• Time Series Analysis: Analyzing trends, seasonality, and anomalies in temporal data.
• Entity Resolution: Matching messy records across sources, linking multiple datasets together.
• Data Pipelines & Orchestration: Scheduling, automating, and monitoring workflows that move data reliably end to end.
• Data Quality & Validation: Building checks and guardrails so bad data gets caught before it reaches a customer.
• Data Visualization: Communicating insights effectively with tools like Tableau, Plotly, and Matplotlib.
• ETL: Transforming raw data into usable formats for analysis.
• Python & PySpark: Leveraging Python for workflows and PySpark for processing large-scale data.
• SQL: Querying and managing relational databases for efficient data access.
• Data Entry: Good data in, good data out. Sometimes you just gotta roll up your sleeves.

Bonus:

• Alternative Data Paneling and Modeling: Experience with alternative data paneling and modeling, building representative panels from sources like card transaction data, extrapolating samples to the broader population, and applying confidence intervals to grade projection fitness.
• Real Estate: A familiarity or understanding of the world of commercial real estate, retail, and storefront economics. A general curiosity and motivation to learn and seek out inspirations from a variety of areas in Commercial Real Estate.
• Financial Services: A familiarity or understanding of the world of financial services, capital markets, and institutional investment. A general curiosity and motivation to learn and seek out inspirations from a variety of areas across the financial services landscape.
• Databricks: A familiarity or understanding of the Databricks platform, including Unity Catalog, Delta Lake, and building production data pipelines. A general curiosity and motivation to learn and seek out best practices from a variety of areas across the Databricks and broader data engineering ecosystem.

Who You Are:

• Passionate about modeling the real world.
• An excellent judge of your own abilities.
• An inspired communicator.
• Collaborative by nature.
• Extremely self-sufficient and self-motivated, and despise micromanagement.
• A risk taker.

Who We Are - Our Values:

• No Micromanagement: We expect you to find value, and to fill it, with little handholding. We work closely together, but we don’t police each other, and we respect everyone’s autonomy and expertise.
• We Are True Team Players: We see the power of a true team and the dynamics that create the greatest sports teams in history not dissimilar to how we must play as a team ourselves - genuine collaboration, integrity and heartfelt camaraderie.
• We Are Great Winners: We are in it to win it. We strive to transform the fan experience while remaining friendly, humble, thoughtful and all-around good corporate citizens.
• We Are Great Losers: Embracing failure is the single most important factor in success. We swing for the fences and if we miss, we study, learn and swing again.
• We Are Relentless: If you want your jersey on the wall (or your idea to remain on the whiteboard), you’ve got to put the work in. And we are relentless. We innovate. We think creatively and iterate obsessively. The stakes are high, the challenges are real - but the possibilities are within grasp.

Why Join CenterCheck:

• Be part of a rapidly growing startup changing the future of retail real estate intelligence.
• Opportunity: With a small, core team of talented people, iterating and scaling fast, you’ll be hands-on, collaborating, and learning right away.
• Total Comp: A competitive salary based on experience.
• Equity incentive plan.
• Health, vision, and dental benefits.
• Opportunities for growth and advancement as we scale.
• A collaborative, mission-driven culture where your voice matters.

3-Month Contract to Hire:

To Apply:

Start your application with the following sentence, “I read this job description fully”.

We look forward to reviewing your application!