Sr. Data Scientist

Sr. Data Scientist

About Us Chorus is an AI startup that recently spun out of Alphabet's Moonshot Factory. Our mission is to transform how the world's goods are made, moved, and managed. We stream data from our customers' physical assets into advanced applications that show them what's happening now, what's likely to happen next, and most importantly what to do about it. We don't sell sensors or raw data; we sell solutions to real business problems. Our customers rely on us to turn streams of IoT data into the intelligence that runs their operations. We're a fun, supportive, and sharp team building the data refinery that makes this possible. If you want to work at the intersection of AI, IoT, and real-world problem-solving, this is the place.

Company Details: Supply Chain AI, Startup with Strong Revenue Growth, 40 Employees.

Compensation: Base $180,000-220,000 (based on location and experience) bonus equity

Location: Ability to work hybrid in Mountain View, CA **OR** Boulder, CO.

The Role

We're looking for a Senior Data Scientist to build data-intensive applications that solve real customer problems. You'll work directly with B2B customers to deeply understand their operational challenges, then design and build visually-engaging applications that put the right insights and actions at their fingertips. This isn't about creating reports or static visualizations, it's about building the brains and hands that become essential to how our customers run their business. In this role you ll embed in a multi-talented and very supportive AI/ML team. At your fingertips you ll have a world-class data platform, public and proprietary APIs serving custom model predictions and AI capabilities to make it all sing. We need you to pull it all together. Understand the customer deeply, make the data tell a story, and build the thin-pane-of-glass that will help them win.

Who You Are

Great with people. An empathetic storyteller. A data expert. An opinionated designer.

What You'll Do

• Partner with customers to identify their most critical operational problems and design applications that address them
• Build data-intensive, visually-engaging applications that intelligently combine APIs and IoT data into powerful solutions to customer problems
• Design intuitive interfaces that surface complex patterns, predictions, and recommendations without requiring data expertise
• Define the metrics and statistical approaches that best serve each customer's specific needs
• Translate customer problems into technical requirements. Communicate insights and application capabilities to both technical and business stakeholders
• Drive implementation in hands-on mode to turn requirements into reality

Must Have

• 3-5 years of experience in a data science, analytics, or quantitative role
• Master's degree or PhD in a quantitative field
• Exceptional communication skills
• B2B customer-facing experience
• Strong statistical foundation with the intuition to choose the right approach and visualization for each problem
• Proficiency in data tools like SQL, Python, Pandas, Matplotlib/Seaborn, XGBoost, etc
• Track record of building solutions that customers adopted and relied on
• Genuine desire to work in a fast-paced startup environment

Nice to Have

• Frontend development experience (React, Flask, Streamlit, or similar frameworks)
• Experience with Big data tools (Spark, Presto, Trino, query optimization)
• Cloud data platform experience (Google Cloud Platform/BigQuery, Snowflake, or Databricks)
• Data Engineering experience (ETL, Airflow, DBT, streaming)
• Production ML engineering experience
• Experience using AI to code and building customer-facing products that integrate AI.
• Startup experience