Data Scientist
📋 Role Overview & Responsibilities
Job Title: Data Scientist/Machine Learning Engineer (Associate)Department: Valor LabsWork Location: ChicagoReports To: Head of Labs
Who We Are:Valor Equity Partners is a different kind of private investment firm. We invest in technology and technology-enabled companies that innovate and disrupt existing industries — from biosciences to transportation to food to health and wellness.Our mission is to invest in and work side by side with companies that make the world a better place. These companies include SpaceX, Anduril, GoPuff, HackerOne, Cloud9, and others. We’ve had the honor of serving some of the world’s greatest entrepreneurs and companies.Our values are core to all we do. These values are excellence, humility, integrity, and responsibility.
Valor means that we:Strive for excellence in everything we do;Maintain our humility and mutual respect no matter what circumstances we encounter;Insist upon the highest level of integrity in our interactions and in the logic of our investment process; andDemonstrate responsibility and dedication to all of our constituents.
About the Team:Labs is an internal team at Valor that builds software to support the Firm’s investment process. It comprises software, data, and machine learning engineers as well as data scientists with diverse backgrounds and levels of experience. The team’s mission is to build cutting edge software applications and data models that generate proprietary investment insights and provide the investment team with tools that augment the investment decision making process.
About the Role:Develop features and machine learning models that augment the Firm’s investment decision making processWork collaboratively with machine learning engineers and software engineers to build, deploy, monitor, and maintain machine learning modelsWork collaboratively with team members to promote technical rigor and adopt best practicesCollaborate with data scientists, engineers, and other stakeholders in translating project requirements into technical specificationsYou will help shape the future of software engineering at Valor by bringing your ideas on improving and automating what we do and how we do it
We’re excited about candidates that have:B.S. and/or M.S. in Computer Science, Applied Mathematics, Statistics, or related field, especially with coursework in machine learning2+ years of machine learning, data science, and/or statistical modeling experience, with significant contributions that you can talk toExceptional coding skills in Python and SQL, to include common Python libraries like Pandas, Scikit-Learn, PyTorch, and/or TensorFlowExperience with any of the following:Time-series modelingGraph-based modelingSupervised learning, especially boosted tree algorithms such as XGBoost and LightGBMNatural Language Processing (incl. LLMs)
Additionally, experience with any of the following is a bonus:Experience with deploying and monitoring machine learning modelsExperience with Docker and GPU-based infrastructureExperience with modern cloud platforms (AWS, Azure, or GCP)Modern data pipeline experienceBig Data processing (Spark, PySpark, Scala, Dask)Passion for machine learning while being mission-driven, hard-working, humble, intellectually curious, and most importantly, great team playersBias for execution and delivery. You know that what matters is delivering software that works every timeAbility to assist in system design and the generation of key technical assumptions while encouraging solutions that respect existing infrastructureWillingness to be resourceful, flexible, and adaptable; no task is too big or too small
Our Tech Stack:Frontend: React with Hooks, Material UIBackend: Python, Fast APITooling: Google Cloud PlatformData: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt
Frequently Asked Questions
How do I apply for the Data Scientist position at Valor Equity Partners? ▼
Click the “Apply for this Position” button on this page to submit your application directly to Valor Equity Partners without recruitment intermediary fees.
Is this position eligible for remote work or visa sponsorship? ▼
This position is located in Chicago, IL with potential relocation and sponsorship assistance depending on candidate qualifications.
Are there any candidate fees on Hirely? ▼
No. Hirely is completely free for candidates. We never charge registration fees or placement fees.
Legitimate employers will never ask you to transfer funds, purchase equipment from unauthorized vendors, or pay application/visa fees. Hirely rigorously monitors listings, but always verify communication is from official corporate email domains.
Learn how to protect yourself against employment fraud →